From bc642e180a30435d32067f6ce7bd8ac15ff862b7 Mon Sep 17 00:00:00 2001 From: Matthew Garthwaite Date: Thu, 19 Sep 2019 15:45:50 +1000 Subject: [PATCH 01/33] add jupyter notebook --- .gitignore | 1 + Corner_Reflector_analysis.ipynb | 465 ++++++++++++++++++++++++++++++++ README.md | 8 +- 3 files changed, 472 insertions(+), 2 deletions(-) create mode 100644 Corner_Reflector_analysis.ipynb diff --git a/.gitignore b/.gitignore index 394d921..8132d1f 100644 --- a/.gitignore +++ b/.gitignore @@ -23,3 +23,4 @@ dist/ *.egg *__pycache__/ *~ +.ipynb_checkpoints/ diff --git a/Corner_Reflector_analysis.ipynb b/Corner_Reflector_analysis.ipynb new file mode 100644 index 0000000..8af26d9 --- /dev/null +++ b/Corner_Reflector_analysis.ipynb @@ -0,0 +1,465 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Corner Reflector analysis\n", + "\n", + "In this Jupyter Notebook we will run some analysis on SAR images to determine the signal response of a radar corner reflector\n", + "\n", + "Get a list of image files in the data directory:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['data/20180726_VV.tif', 'data/20180807_VV.tif', 'data/20180819_VV.tif', 'data/20180831_VV.tif', 'data/20180912_VV.tif', 'data/20180924_VV.tif', 'data/20181006_VV.tif', 'data/20181018_VV.tif', 'data/20181030_VV.tif']\n" + ] + } + ], + "source": [ + "import glob\n", + "\n", + "files = []\n", + "for file in glob.glob(\"data/*.tif\"):\n", + " files.append(file)\n", + "\n", + "files.sort()\n", + "print(files)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Lets read a tiff image with rasterio" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/547/mcg547/.virtualenvs/coral/lib/python3.6/site-packages/rasterio/__init__.py:216: NotGeoreferencedWarning: Dataset has no geotransform set. The identity matrix may be returned.\n", + " s = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n" + ] + }, + { + "data": { + "text/plain": [ + "(1, 200, 200)" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import rasterio as rio\n", + "\n", + "# open the 5th file in the time series\n", + "src = rio.open(files[4])\n", + "\n", + "data = src.read()\n", + "data.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Plotting with Matplotlib\n", + "\n", + "We can make a plot our SAR image using the Matplotlib package" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "%matplotlib inline\n", + "\n", + "# remove third dimension of numpy array\n", + "d = data.squeeze()\n", + "\n", + "# convert intensity values to decibels\n", + "db = 10*np.log10(d)\n", + "\n", + "# set the colour map for the plot\n", + "cmap = plt.set_cmap('gist_gray')\n", + "\n", + "# plot the matrix (array)\n", + "plt.matshow(db, cmap)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Run the CoRAL algorithms\n", + "\n", + "Lets first define the position of the corner reflector in range and azimuth coordinates" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'SERF': array([ 87, 110])}\n", + "[ 87 110]\n" + ] + } + ], + "source": [ + "# Define a dictionary of site names and CR positions\n", + "# site name range azimuth\n", + "sites = {'SERF' : np.array([87, 110])}\n", + "\n", + "print(sites)\n", + "print(sites['SERF'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Define some other parameters for the CoRAL analysis" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "51 5 9\n" + ] + } + ], + "source": [ + "#cropped image size\n", + "sub_im = 51\n", + "\n", + "# define target_window size\n", + "targ_win_sz = 5\n", + "\n", + "# define clutter window size\n", + "clt_win_sz = 9\n", + "\n", + "print(sub_im, targ_win_sz, clt_win_sz)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "\n", + "Now lets pass this information to the CoRAL package. CoRAL implements the algorithms described by equations 7-9 of [Garthwaite 2017](https://www.mdpi.com/2072-4292/9/7/648/htm)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Reading tiff image: data/20180726_VV.tif\n", + "Reading tiff image: data/20180807_VV.tif\n", + "Reading tiff image: data/20180819_VV.tif\n", + "Reading tiff image: data/20180831_VV.tif\n", + "Reading tiff image: data/20180912_VV.tif\n", + "Reading tiff image: data/20180924_VV.tif\n", + "Reading tiff image: data/20181006_VV.tif\n", + "Reading tiff image: data/20181018_VV.tif\n", + "Reading tiff image: data/20181030_VV.tif\n", + "The Radar Cross Section is: [0.0, 9.13398793348449, 36.96763370322139, 35.4903630503769, 31.025217706683183, 32.0952212099142, 26.987680915413534, 19.669169721189334, 23.841155980889162]\n", + "The Signal to Clutter ratio is: [0.0, 0.0, 24.693294059960287, 23.304230572049235, 18.795652426872785, 21.403966695016962, 14.075626848845529, 7.055242854988365, 11.19621832733139]\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/547/mcg547/.virtualenvs/coral/lib/python3.6/site-packages/rasterio/__init__.py:216: NotGeoreferencedWarning: Dataset has no geotransform set. The identity matrix may be returned.\n", + " s = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n" + ] + } + ], + "source": [ + "# loop is a function contained in the CoRAL module\n", + "from coral.corner_reflector import loop\n", + "\n", + "avgI, rcs, scr, Avg_clt, t = loop(files, sub_im, sites['SERF'], targ_win_sz, clt_win_sz)\n", + "\n", + "print('The Radar Cross Section is: ',rcs)\n", + "print('The Signal to Clutter ratio is: ',scr)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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fccQRkjq24faxkoX40pTlOefCiGCMMCtkpm3YW2n/k6Trr79eUsdcYTGMiaUfLNzbpb9SbvRKXzAi9IAsLhtL2z333HNC3zfddJOkjlHCrDCHcB46QlaYMP1I3X3CaoO5RkbmFtYLGAt6py/Opz3mmH7c7g3TxFThJptSJsA9wCqLe5u+MCPRJnocFjscwMOxh4j4gprkNTtExG1qKsl+QNKXIuLNaor+vXYgnc0CC+bhmZnrIuKtaioiLpL06cy8Yp7Fqqio2EgM6uGZma+b4qcTBtLBJmLBPDwlKTO/I+k7Mz1/8eLF2m677XTddddJkp7xjGdI6t7gvsHBcWdKvL0x5Esd28LAjh0KpoJ9DzZG2zBLvsNKXAYYGJsN9AdbQyY2EZAZFiN1tjfGDXPGLgjTZpywOBgRLIQxwV7QG2N0IAubZ4wF2emnZDcwH2TkGvrwjSL0in5gdfRNO24Tdnsh1zHG229vLEFsNJW2P99ghEFyDTLD/vidOUd/zBF6xAaKDpgXxgJbRBduiy9XRDyYYKO+0ea2TsD9hx58k2uQGLLNc8FgQT08KyoqRh9bSprLzeLhCROACfEdpsCbG3bCGx5Gxpu/fGPCIrAZ+S4mb3DsqtwwbtOD2bDTj42OdtiBRQaYEzuxjIXv/C51djvG536BMB6+M25sdrSJPRJ9uA8rY2MszuZoB8bG9aXnAEwPvdIXMqJfd+0CyL7PPvtIkn7xi19I6uzVsGj0/LKXvUySem4zMLFddtlFUscCS/huOXPCuFkdcJ/hmnXiiU0QzPe///0J7cD2APrAZoyNnvPcW4F7qHSn4hirB+bIXbKQgZULeoOhTrWq2FQM0ua50LFZPDwrKioWDurDcwQwNjamFStW9GxsTBq2S2xLsEHe1jCjvfbaS1LHoEon+VtuaXyHV61aNaEtgM0IOx92Kuxc9FE6OEsds4KBcT0sh+POlmGVJWPw32BfjMs9BNwpHhZG35wPE0UfsDZk5Xp+h5lhh4MpwdqljmmzK+7BBugbJs756BGWze/ICsPC04DfGRusDplhdbBlWHTZFrZP9ItNuWT9ZRuuZ/Tiu+y//OUvJXXzhH5gjTBT5hiZSxmZC/pEJsaPl8EVV1wx6e/AAyMGifrwrKioqJgF6obRCCAiNDY21mMZME7YB0zJ7ZIwCt7SvoMudSwB9gCDgTU4k8H/0N/wXAebwUbnu6EeigfzQg7aKduHpcJcnJ26LRJ9YHODPXMdfcMGPRLL2RoyoSPmAf2WY/TwSmR2hs4qgbmibcYES2YlwNxhw8QOiQcGjNajd9Bv6TeJLNxH2E8Bqwr0Tt9nn332BBnoizG7rZ3vMHz3/eW+xF5Zrl6YK3RPH+ia8TFHyOK5BTySbVCoNs+KioqKWaI+PEcATz75pO68886ezRM4S/QkCTApty1xXOqYCWwLGx03Buc6A6VNt4X6DioMkp1vZ1wwM3ZHJ8tGBMMG2AU9UojvHqsOc4IxltE2Zd/OargeRst56Bs5SnAuDBxG6dFg2AFhf+xIe2w2fcLa3FZ63nnnSepPnoK+YXOXXHJJT0auxXaLvpxxMuecf+GFF0rqz5rk3g7EpeNxwT3AJ2zaM0aV9kn6YDzO+jnOHHiGI2Smr5///OcaNOrDs6KiomIjkZnV5jkKYKJgKbzx2KlmFxiWwSdMDBsVjIK3t9T5xcGmYD7sFmN745M+3X/O/TY9CxPsArbsUTse+17uvHrkEG27Tyh9ub0Wmx5jgKUwRvQEW4QRud0Q253bd0t7YhmfLfWzNGx5XEsfMFF+53zYsLNl9MOYuM5zk/pOeXmM+4S2uL/cHk3kEXpn7tid577y3XvuEY4zjzBc2LHrqOzbr+Vedx9n92dlTMzxMFCZZ0VFRcUsUB+eI4CxsTEtWbKkZxdj0thphUnCALAteebzyfzpeKPDpmBXzh48kznf6QtWiA3KGZYzB7elMobJWAhMEnsfzAnZ+GRcMCX3PSWRsPsZojf3//Rddd85d1/W8v8wdGTFNswYaAPmxHno0b0aPHGz5yYFnv0eGWGN5Tm0gT3RMzwxR+QeJa8nbBjZmR/YIt9hfdhAybNKv4zNqxRI/ZFvjIfjnojZbcqeEHsYqA/PioqKilmgPjxHANg8p8rijp0Qf0bezrx13U+yfMPTBkwJZuQ7z+5jCZPhOtgKrA9ZOY7PJcwJpuXgeJkFCEYIq0Am2BxMB9l895bxe60e1xPt4H8Ik6U9+vOcpYy5bBt2C3vz/JrY6GBIfOe8E05ospFdc801kvprSsG8YHvYIWHL6Ip5nCyrEp9kpyKmHR9S9yZwH1X0B8OESaIvz9qE/ty31fMASJ3f7+GHHy6pu9+8rAl6Rjb0wD3CfTdo1A2jioqKilmiMs+KioqKWaA+PEcAixYt0jbbbNPbIPISw7h+sGxiCcOyyDeKysQPXiDLl7Ke9AE3H5bjXlzNSxJ7+jffnAG068k3yrZYovHJzcvSjOUh4/d0ZiQSQWaWeAcddJCkbmnoTuN8Z+OD61zfZdu05eGV6IclMuPmd66nb5bW6M2d6T2c1ctOg3KTEL1wH+Guhmws9Zl7L9XiKeW4F5D54IMPnqA3xub3pRcDLF2+kI3xM4c4xzMH9I0s6MNLEg8D9eFZUVFRsZGoNs8Rwfr16/XEE0/0be5gqIdtwC7YfIDFwX7YECnLcMBkOHeqshiwCg+vZFMBRgCbgG14CjXa9dA/+vFkt2WbvjlAWzBCWAdsl3EecMABkjo2COvDdQkgC2U/ALrBId3ZdZl8wouc8RuyMgfPec5zJHUs0BOosFGE2xTXwdjRH3plg4V7BH0iB2OTuvsEWdnwYkPHS6x4oTfO8yJtJIPh3vANPd/kon/u33IT0ZO/+Cfjo23uAeYIJlqZ56ZjpB+eFRUVCw/14TlC4K0L2/DSrjAt2AeO1jBVziuTIbtDs5ds5QZxNx538sYG5QXckJF2YIewD1gO53O8TPoBC6EN7GA4UMMoPTTRXbOchTAWmKqnc/NibOgAJu82Zak/PSCMEv3A1EmawfnMEZ8weWQilBE3IuaLfmDjfAfIXi4x0TkyuZ2ZVYYnL0Y2WB42UI7vv//+E44jK/rxeUC/zs6ljsUCL6CH/doDImCezO2wUtJJ9eFZUVFRsdGoNs8Rwdq1a3XLLbf0WAs2O2xF2J5gHUceeaSk/qQe7EyWtiXYBcc8QQh98maHlbi9CiaEHdGd6mFSMC1nOzCF888/f0J7JWClfNI34+O47yZ74gu+w1w9uQay4XCObrzUM4AVljLASmFf6IO+kd0TqKAnmDdzeuCBB0rq5gF2B4v0RBpeyK9k5fTJJ6sBxsncMy7Gy33G2LCzUvSOvrgevdKOM390gV23DN7wZDduy8WuzyqKvtAL923pZTBoVOZZUVFRMQvUh+cIICK0ePHiHmvzhA4wJC+3AfuAGcA+SrsYtiRsc5PZHKX+EDt+JyQU3z7YnIeEwl5gGV6mg/ZgnCULgRnBJjzs0pOM0CdM2z0IPHWf23XRE7KhL/cooP1y1xn7H3NDm8961rMkdYyKz8mStZSyuneDl0NGJhgYnzA1dFfK6Amr3W+YMZAIBH1gX8QbgWUrKyHYIMzTVx8e7ol+mYfS44BrYJRud2V8jMETZvM3MgrMMyJulvSQpHFJ6zLzqIE0PCCM9MOzoqJiYWEINYxemJn3TX/a3GOkH54RoSVLlvSxGd62vI09QoQ3PW9tty9KnZ2LtrGhwUZ487txHNsaDMjZBn25DyoyeiJjT9BbMl/+zzjpE1sav7sPpO8eow9k8F3l0heylMmTfHiKujL5BMyPc2H9jNPnBAbKd5g95yMrTJQxwwo9soj5csZPu1I3d7SJXmG59M3DAX366gDZkMHvP08qg25oB9m4N0oZYfWkseNepw8v9AZTZQwwbjxOhoEtZcNoeJ6yFRUVWyRgnxv6N9OmJJ0RERdExMlDFHlWGGnmOT4+rgcffLDHUnirwgiw77jNj+OeSLf08wS8yWEj2C6nsiXBXpCFnVfe/LBA2mNnl+tgSJzvO7WTJWzmWi9ty7kwcs6DUfluOuwWfXE+rM5ZN3ZaZ2hTpdWTOh1jk4Sd4iPKHJEOjjbddolN+dhjj5UkXXbZZZL6Y9c9ATZ2SNgdY5E6lgq78yTQjAtfVJcRRsn1jBH9oGe323okkduqSyY31RwSh893xk2bfk94FNkgMcOH4w4Rsbr4fmpmnmrnHJeZt0fETpJ+EBFXZ+ZPByboJmKkH54VFRULCxvBLO+bbgMoM29vP++JiK9LOkZSfXgOCuPj4z3miN2MN7nbFX1nlrc34G0tdYzQEyu7b+NkMedSf7ljmCgywbhge7AV9//kOsaIf2QJxu274EcffbSkbheYNmEyfHLdtddeK0k66qjmnoZ5ecYntwd7FAs6K23IMHUvfcK56B6m7VFMyABDhTkyxosvvlhSx7DwaaU/z1aFjbAsNw2rw+OBXXS36SIrNk4vsubx4+6b6WNDRu4JooTIr/CLX/yir20vje2+oujL73nmuiw/MmgMwuYZEVtLGsvMh9r//ydJ/32TGx4gRv7hWVFRsbAwoN32nSV9vSUTiyX9e2Z+bxANDwpz/vCMiD0kfVaNclKNreOUiNhe0hcl7SXpZkmvzcz7N9TW4sWLtfPOO/fl3vRSGLyFsQlynLc1LKRkkbw9uQaG5GV16ZtrPc7cGav7EsIg6A+bnf8O2ynjnMm3yTH8Wt3uxzix3XkGHs/khC0VPcLyGBv6pBQE5yMHYywZGXrwHWqYJAzd7acwJVgtbIzfYZjYohmDzxcZpDy/amnnhvnRBn2ge98lBx4x5DvfMEuYP/D7FLslYNXBmKWOQfKbR75xP1JWmvsKmWDgzpYHiUE8PDPzRkmHbbo0w8N87Lavk/TnmblK0rGS/jgiVkl6p6QzM3M/SWe23ysqKkYIM9lp31wikOaceWbmnZLubP//UERcJWk3Sa+S9IL2tNMknSXpHRtqi0zyMAJitGEA2OT4ztsZWxysBTZS2kDd1uglXScZ14TzuN7Zhv/uUSpegpfzaaeMF4cZkeMStoE+fDcdJgTwH0QPsDDP/ARgruiRuHL694w/ZWQMsqBP+mS3nPFy3PWPLL7z/aMf/UhSfwZ/vsMSsU9i/4XBMVap0yesDDYLo2anHrgtmHsA5g3rdTs2bNtXL3znPoaZlkwX/fjqgUxQsGbuI2zkzBn68zwEg8SW4uc5rzbPiNhL0hGSzpW0c/tglaS71CzrJ7vmZEknS/1/3BUVFfOPzYVZTod5e3hGxDaSvirpTzPzwTK7TWZmREw6A60v2KmStGLFily6dGmPKXiGbhiB7zTCavgdf73SP9F37PnkrUqEBmyiZDBSx1Ddrup2M2eDHIdxwoY4XnoEwGDII+nZ6QEMCj3BcmFjXrLZ6yrBgLielxbnuz9tGX8POAZzgm1xnDlBHzAp7H2eg9T9HfmOLDAt7IieUQp2WP6hM6fo8ZZbbpHUH6HlpZ7RD21fccUVE8YII/cqAl4BgZUD8wJrnKxuFfc4evHVBqsIzzHKfVrzeW465iXCKCK2UvPg/LfM/Fp7+O6I2KX9fRdJw7NoV1RUDAXV5jlEREMxPyXpqsz8x+Knb0l6g6QPtJ/fnK6tzNTatWt7jAD2gj0H+6D7c8LEOA+GVe7aw2BgA9ihOM5O809+8hNJ/UwTtuvx3m4z9Qw+zpxgkVxf2r9gEc6OS7to2Qfjwx7oNZ1gx9zcsBj0esghh2ywXd9tL/08OZe+gecIIObdc47C/rxeEvBqpOiJ7+iKdmFzpfcC9kKYpDN59MX95DvfsGavPsCKxhm8+4+6X7IzXKlbXXmMPisg2oB5PuMZz5DU6Q/2W/q3Dhqby8NxOszHsv15kv5Q0mURcXF77K/VPDS/FBFvlnSLpNfOg2wVFRWbiLphNCRk5v+RFFP8fMJGtqW1a9f23sxuR/MIGM94BFuBCZCRR+pniMcff7ykLqM7mCobkOdXxHZJrDvsl35gBm7Dg1nAQsrYdpgOrAM/T4+ockbDuGEfsBmvSQSD8uztxxxzjKTOJud6p9+SefIbbTAu7IFeT5y+sVOjH66D7agCVowAACAASURBVHmuTNij2ydhal4zqYRnWkJ+r1PvLI7xuq0X9ud13L22FHr3vKrML/eC1HkLYMv0mk7cA8yhr8oYG/fEMFCZZ0VFRcVGYnOyaU6HkX54LlmyRHvssUdf/kXe2Lx9nY0Qww0D8F152pY6ZkNGeI5jA4VNYB/zSpNeQ8ftW56x3jM8cR7spbRV0RfHnBHhl3jddddJ6hgU9j6vic6OtDNX2A3nw+Lc1ocuJvOF9cgprkUvnmEIfXIcluux7545Cubl/qB4JtA/80r7Un+EEbZO9AIjBG4z98zw9O22YPTHdR5lxoqJ88soKO4rsiIhAysZfoeJ8zurDfewGAbqw7OioqJiFqg2zxEANYxgNV633GulY+/xNzzso4wG8qqEl19+uaT+bOCwFWdrvOlhI76jD+t1/1CPcYfV4e9YZlWibfqGocA8+d2jSmBhjIHzPZ8ksnEdNsCLLrpIUqdnzvOM6aVdzWvmwKq8po5nVWc1gWz8znHOYyxexxy2SD/IzPfSbxb2Shw89xOyuX68YgFtIYPXTeL+ol1k5Dz6IWLL8ypI/f7G7mPKnMP+3WMCuAfKIFGZZ0VFRcVGoto8Rwzu84ftj7ez+1B61A+2urI+ENfCJtxOhc2T82A42LewLcEEyHwO84SdwShhPe5z6ayuzEsJU8G+5bkyaROZPMM+jNt3jacag/s50h+ywcQYW8luONdZPszJbZRuC4WdwfS5zmtEeU5R5h5ZuI5d6zKqjN8YPxFH7p3BnHv9IPSLTNicYdleMdSjhQBj9/u3lNfrVHn+WFZZnsXKcwwMA/XhWVFRUTEL1IfniGDx4sW9ty1vamdEvMk9+sJ9C0tDt7My2JdHobiPH7u97scJa4Fh+e4z5zsj8F340j+RY7BjfEhhPLAMrvGs7b7DjV3Mc2g6k6cd2I7XPvJ671Jnv/MYf2Qj3h6GCKtjjLAvGDyskIgkZIGRXXLJJZL6d9CdJZa2WK8FxXe3VaI3X0Vw3LPZszOObF5LC1141qoy3wPgWsaL/Rr9+P3oVQOwX3uGqEGibhhVVFRUbCSqzXOEsH79+t4bnzc1bz6+eyYjzwQOCynf9KX9U+rfeXV/TZgotibPIu52VlgL53mVTNixM7Vy15S+vdolN6/HPcN20Zfnm0Qv9Iks9F1mNC91wPn04/NR6o1znfXCnLw+EEwUfcGYPKMRUU+wOTIbua+ls/AyegcGTZ+e89J9S2HmMEyYpd8rjJXvyOJ5D/gd1sg9UMoB00RGZIblMz68Q5CJukgwcvfxHSTqw7OioqJiFqgPzxHB2NhYj0U4c/BYZJiU1+4pa3cDzuHTd9v5hCXAID3enPPcDxE2MlUVQ+xfbnstZZ2qgifsDRk8e49HQcF4YEzoCRYHe8EOyfXku+R8+oUdT5aHkrmBgcKqYN4wd/eTddsndkT0C1P1TOvuiQDro7+SHXsMOzJ4xBBzAdvz+8l9TfmODugHmenHc7t6xi2p0z0ycp+gc2zCzM0RRxwxQTbOw1tkGKg2z4qKioqNRLV5jggyU48//njvDQ8zgK2RQcdZHowBljPZZHvGG98thgnRtrNYZxEeTeIRR56FnX6dPZf2L86FcdMm59AGDBPZGTf68uzjHvGCBwHMFNYCM2KsME1nYGUfwD0eYHcwQ9piDEQ3YctDb7A2/DavvvrqCWODlTNPyEQ/pe2P8XDfMG5f0aB3mL1nhkJ2mDjne24At9G7LytjK+9PfnN26z66bp/2zFqT7eQPCvXhWVFRUTEL1IdnRUVFxSxQbZ4jgEWLFk0IV2RZ6Utglnh8smThdzYPyiQd7kbiSR98KctxD+FjqUxfLKExHbAZ42niPJED8pRO8izR3PHbi6PxOZU7EHpBNhz2ActTT6LsrjWEubJkLsNm3dXK58rb9g0QlsYk7SDNnpeNph9MFyyFfRmLzGUCY+4DrmGpj5495JMNNJbEyOLJTbiHvGzKVG5b6JF7oXSnQi8eiICMRx999IRr+J1yHBwnmfLFF1PMYTCoNs+KioqKWaI+PEcAmal169b1OaADDyd0xglDgnGUKdQ81Zcn8aUtZw/OhGB3sD0vUAZjoF2umypUEmfnsg3fjIHFsrED63J9MCYSPbtTPHriOPphA4XrkRHG5cXXpE6PtME5yMoYYF2wXdgdG0GUQ2FsXqoYMGbahfV5cEJZKoT7gQ01Z9bMoSfPdmd62mbMyIAeWbWgC/pD73wnBLME94Xfj7Tt7maeIBtZCW8dBgb18IyIEyWdImmRpE9m5gcG0vCAMC+lhysqKjZfDKL0cEQskvRxSS+VtErS6yJi1ZBF3yiMNPMcHx/Xww8/3Gd74g3uiRhgQjADT8JRlmRggmGYsCsvqwGr4BMZYJDYmmApnoyENG8wWP9EdtgIjKKUkYQgHn4J64Ap4kAOa+F82J47TsPE0KczXPrxxCCwnDLEFZ3jvA378oQryOKyeggorI55cad4tw0yL+5aVpbWoE30SSgkbSMrIaLu4I++OO6O6XwyL15SBDckGKcXlJO6uWA8zoLdBY77D9mRsSx2OEhk5qA2jI6RdH1m3ihJEXG6pFdJunIQjQ8ClXlWVFQMFINgnpJ2k3Rr8f229tiCwUgzz4hQRPTexrA92JqX8XVmCpvxt3bZhu+Ycm0Zeih1DIA2sZlii+M4rMLLRMC4sM3x6WUVSjZCW4To7bPPPpL67agwKnbqvSQGfTBWT2dGP96es2muhx2WheDYwfckGe5Q747onoiF4n1cR1/o39PEwdhdJ6WXBvBgC2Tg/vHEyh4cAKvmOPZu9AOzZEUEg8WWSv/0x3zBwks9+G46ffJggoG7Q7+PcRiY4cNxh4hYXXw/NTNPHZJIQ8FIPzwrKioWHmb48LwvM4/awO+3S9qj+L57e2zBYKQfnmNjY9p66617kwXL8JBKL+3gxbPch7P8PywDBuQhc7AJ+vaCY9gJ6dNtUrAQZ2+wPS+bXHoUwE5hPrANZ4QAX0n3qYSVeKkGWPaqVasmnAerY+xe6Mx3hEsZYZ6eeMVLDrvvKH0iA33Aztxf1EtpcD73AkmUYe1Sf1kW9Ic+GR9F+BgTdmufe/f/hOFzT3Gd23sZI/dYaZtHfsaL7j3cFHstKx8vPTxZMpxBYIA2z/Ml7RcRe6t5aJ4k6T8PouFBYaQfnhUVFQsPg3BVysx1EfFWSd9X46r06cy8YpMbHiBG+uE5Njam5cuX971FnfnwZne/SFhPuYMNvCia+yMS+cLvnlwDYFuDEXgUkPugwn5gCF4CopQVpoLdi9/cb9OTldAHfXKcMXuKO09Swvl8d3si+obdlXpCJk/+jMcEbcKckN3ZG3pENuyCXtrZEzTjUXDIIYdI6tif1J9QhfvHbcEAmVgloDcYflnWuBwj7XhiGk/WwbyWDyO8FJCV37wIH/phdcJ37pmynPGgMSg/z8z8jqTvDKSxIWCkH54VFRULDzXCaASQmXryySf7UqN5Ml/exrAYWI8ziXLSYZruV+dxyb4rXsbHlzJ56VvgpWDdJgpj8rhqqT8qiQTBXOs+jzAj7GbY6GC12F9J78YY0Qt688JvyIQO6A+9lzJiP6RNmBAM3WP/6Wsqtoy+vAibR3whKzbAyWzI/B87qEdmeZ4Cxr377rtPOO62Si9B7LHz6Bt9ITP9lSsr5pC+0Rv6cK8QZHD91jIcm46RfnhWVFQsLAxww2jBY6QfnsS2e+lhWAvsgt+97O9U2W2k/l1g4Duv2J74zidvXxgXDMvL+WKDwz6ILDADxuTJfEuQIQeWwfhhucjsvo3Y5NwnEruaMyEv34ssjAG9wjyxN5bXwM5ok1h9nyvGjWzoFdbMmNAvqw9s0fiVErvudu0LLrhA0kSbp5dvoU2PzuGecKYNu/UIIWThOmTy3XjuzxtuuEFSN1+lHd1LfjDX9O35GrwMCedjlx0GthTmOW8RRhGxKCIuiohvt9/3johzI+L6iPhiRCyZro2KioqFhwFFGC14zCfzfLukqyRBhz4o6cOZeXpE/LOkN0v6xHSNRERfpiIYFKwCtgcT84xGXi5Y6i+OBkvgHPwLPTsQ7A/W4aWDfXfUC8vRn9sjPV+o1LEP2mCH2qOi0AMsDj3AmmFGtMdOP9fDLDmP4zBL9Ae7RsaSecKesAm7vZTxw4xggbBfrvOcpLSLbOgfBnb44YdLks4//3yVIEtTGW3FnDjzJNadOUVPHqPuNnfPCeD3kLNo7LHMF8dLP09n3LBV+uRc9IGM9M09T17UQWNzejhOh3lhnhGxu6SXS/pk+z0kHS/pK+0pp0l69XzIVlFRsWlYv379tP82B8wX8/yIpL+ShJHxaZIeyEyczzYqCQCT4WwE8Hb2YmAeq1zaxTz7PG98WAiMyLOww6hgdTBS7GAcd7aLjMhO+757iqxSx5RgKr7rCwP0rOlEBmGrI/MOsrnt1OOpacczn3vGqXJHFxYKu3J9IgsM03fTAX0hE7Iydv/DPPbYYyf0wyfssWR1yM0coF9khs0hI2PwfLCeSwF9YZtmvrj/uB/RF/Zvz2Qv9UeTeXYpxsNcMrfIzP0zrAgjqdo8h4aI+G1J92TmBbO8/uSIWB0Rq/0Pq6KiYv5RbZ7Dw/MkvTIiXiZpqRqb5ymSVkbE4pZ9TpkEoM28cqok7bjjjrlkyZK+N7lnwXH7IvBSxKUPpvuAun3Ry+9ib6RPj5vnOo/wgCnBWLmxaJd2YAzljjls1jPEA9gHLI4oHL953RYHo4INuy3PMxg5c6K9MnMPc8ROPrKjH5g4O9joE9bFLjp6wieVuaUdfscm7f6OMFzaLaN6OBfWT5v4adK2lwpmbmH0tOn5EJCV2HgYK2yS6zxPaqlH5oBr6NsjjHzuYZqek2HQ2JwejtNhzplnZr4rM3fPzL3UBPv/KDP/i6QfS3pNe9obJH1zrmWrqKjYdFSbZ4GI2E3SnuX5mfnTAcvyDkmnR8TfSbpI0qemuyAztXbt2r7dT1gGbA1myduat/JUceS0LXVveve3xBcPZuj5Nt3vEzYMw4K10L5XwPRYeNqBrZRtwnZhivgR0ofbX5EB2WFhno3K2bHrGfaNHG5XK80qsCdsk541yjM9EXWDzJ55Hwbv3g4eh/61r31NUme39EqiZeYnjiGb5z31+8UZO3pyJsl1zIOzRWTiOl8xlVFlMGqvZIDM3J9eJ8lz13o+2kFiS2Ge0z48I+KDkn5fTfp77rSUtMkPz8w8S9JZ7f9vVJN6v6KiYoRRH54dXi3pgMx8Ytoz5xjj4+O6//77J7Axqb+uDQwAZuA1drATlfVsfOfefRthALA3rwrJec5CPMsPfcLiYIUwBc+mVMaLeyw1baMPGIvb8jxe3zMTeeSLZw1CNzApzofdubdDOS7mwFme51hltcAON8c9mgm9wExhuNgpYbCeEWqynWxn3p5RC/3CetEDbBhZOA99+erBM0t5Nn2uY3UDi5S6OUQP2HDd7oyMtOE5QieLVBsEtiSb50wenjdK2krSgnt4VlRULDxs8Q/PiPiYmuX5o5IujogzVTxAM/Ntwxdvw1i0aJFWrlzZYw+8sd0G5/6HnonGGYHUnx0dJuh2LpiAx2Aji7/psTnBrGAM2NFgTm7r8+xMZR9cww40tk/68sqbtAGzpB12gfFH9N1gdIKd7fbbG4cIz5/qOiv15Fl9kInddVgcMjNnHj+OXhkjTAyZfVXB2GgXlH6eyOax57R90EEHTWjb55y2fV6cyfpuvFfZBNwTpc3TvQS8Aifj4RpWJ2SI4jr3PBkkNpcNoemwIeZJcaYLJH3LftsyXi0VFRUbjS2eeWbmaZIUEW/PzFPK3yLi7cMWbCYYGxvTsmXL+t6ynkGdKAuPI4eVeIyx1B+LTtu+I4qdENbhu7meT9J9IGEKHrtOe/SLjbWM2oGVeXYft+16LDu/MzYYJX16PlCA7BzHruZZqbyiZakXt/1im3QfVNejV5j0CCEYmEco+WqjrOhZjlnqGLtXOEX3no2LsXAeemBufdWB/pGF6z2+n/vU4/ql/mxRq1evnnCu+/xy3GtBlauCQWJLsnnOxM/zDZMce+OA5aioqNhMsMVHGEXE69RUq9s7Ispl+1MlrZn8qrlFRGjx4sU9duEsjrctTAn2x5vcKzaWO9lc45FCzng8ogj24rYl9xeFcSGDV0P0vJ5eT0fqjzX3eGfPK+lMmz65DlbDeUT1MFaYvEdNwXLobzImz7i91hN98wcF895vv/0myEj+TcYGC3R7tnsGcD2fzI9njirb9uz01ITyWH/G4PHi9OXhw+gRGb2CKGNA/5xXRo6594brE/bPnHvUF7XlmethoNo8pZ9LulPSDpL+oTj+kKRLhylURUXF6GJzYZbTYUM2z1sk3SLpuXMnzsZh/fr1Wrt2be+tyxvc7ZTA7WjY3dxHUOqPePE3OizEq2PCCGALXgvJc0XCRujPq0LSntvZynH67q5HqCAbbIMxoA+uw/7nu8muNxjSX/3VRdp++/7Ko7PBr3+9TJ/85Am9VQNzyrjJP4nfpmeW951vvmNnhGkiO59lhU/fmXcbL23hjeB1rdzHlz7ch5Xz+I7XArLgL4v3BGyxbMurr6IHv1/cb5jd+mGxw81pWT4dZhJh9JC63fUlanw+H8nMFVNfVbElYPvt1+od7zim98DjgcUGC5saknTllVdK6h7APMxwTfq7v/vZ3AhdMXTUh2eLzOwV9mmTFr9K0rHDFGqmWL9+vR599NE+9gZTcHujMwFsdx4nLXU717zRYZ5eddFZH7/zxvfYYuyufEd2GAFM1hkSD50ymgqG6HYwz7zjbBk9cZN7PD19+vXoq9xFX7NmTc+HkLFxfpkzErn5LP1VweLFi/uibnwuYc/MB3r0iBvP6O92bsZeyuhsF3At9wnXwlABLxGYJPWZaM8roHptKcbOvUDmI+ZD6tgvrJVaRMiIHpDR9eX35TCwpTw8NyqrUjb4hqSXDEmeioqKEUfNqtQiIn63+Dom6ShJCyYL8bp16/qiebBdYTuCkbk90bMplawO5sJvMCDYnseTewYdPmEI7jvp0VCcB3uB5TnDKnfbPWaaNl12ZHMfP467D6pnnUIGmGhZR2nt2rW979+89FLtunZ6G+jdy5bp/zryyAkySM3uskcesfT3OG/GyvnMKUzLo6LIIM+cw8LRs9R5QLjN3JmnZ8zyHAN4CrgPKvPlNaNgnqxeYMNlNVfgtdzRAyyWT8blUWTuDztoVJvnRLyi+P86STerWbpXVEzArmvX6uijjuo9VF74whf2fjv33HMlNQ/q73z3u/MiX8XcYC4enhHxXkn/t6R720N/nZnf2cg29lSzf3NfRBwr6ThJN2Tm12dy/Uxsnm/aGIHmErzlvL6225iwIbGRAXuBfXg0StnGVPXBYYoe5eO+e74jDlOCrfiuKe07K4FJeI7Jsi23w5ZZoso2AL/DRmAz7o/odcdL23BETPBSePzxx3syv/71r+8dv+yyyyaMDwZYYvny5b2+vR4Qtr3rr79eUme3Zm6d2bvMsEqYKDKXTP6aa66ZcC3nenYpVjaME5ZLlBTnAc8RwL3jmeMvvPDCCWPmeLkicq+LG2+8UZJ0zDHHTDiX8ZW+y1Jnp51M/4PCHDLPD2fmh2ZzYUT8v2qCfTIiTpf0IjXpMV8eEb+VmX86XRszWbbvLelPJO1Vnp+Zr5yN0BUVFZs3RsSm+TpJB0laLumXkp6emY9GxGJJF8+kgZks27+hJqv7/5a0oLSybt063Xvvvb3s5DABGBRME3YCa+Ot7DkeSwbltc9hH5yDTx7HPU8lLNB9Kn2Xk91hjzqBMSAH9ts999yzdy1veMZJ9Iz7lMKkGD9uQ9jwynGX+vCd/8kYxaJFiyYw0ZUrV/blE5U6poQ+PDpHanTDcWRn55r8BLBlz8DPGDiOTmCcnmvAc7pK3Vz7bvhNN90kqWOO+F1iU372s589oS3fbQfcl+gH/XoVAa9+WtqFGR/H2D1nzllNuX8nc+e+vIPGHNs83xoRr1eTxOjPM/P+jbj28cxcK2ltRNyQmY9KUmaui4gZOS/P5OH5eGZ+dCOEqqio2IIxw4fnDhGxuvh+alvcsYeI+KGkp09y7bslfULS36rxQf9bNVGQ/3UjxFzZboaHpG2LjfGQtO3Ul3WYycPzlIh4j6QzNDGf54UbIWhFRcUWghk+PO/LzKOmaedFM2koIv6XpG/P5NwCP5H025P8P9rv02ImD89DJf2hpOPVLduz/T6viAgtWbKkt5RhycfGiLur+AaIh6yVhnnfEGIJ5wZ72mCpiyGeZRGOzsjiJWO9aBhLRpahLO28cFopm5ePQDaW8SzP6YuwP5aHbLZMlWzDE0CXhfL22GOPnmsT59LPl770pd5xd5nxomeMlT88T+Dhc+QBECyVGQvX77///hP6YVMH/ZYJiJljL1HhwQfoz80dtEWf6M0TtKALTAte+pq5vvrqqyecV8o2VTAGZgr69PuV63HdGgbmwuYZEbtk5p3t19+RdPlGNlGen2oemvx/RpjJw/P3JO3T2gcqKioqpsQc2jz/R0QcruZhd7Ok/2cjr+eteYCko9WUOg81rpnnzaSBmTw8L5e0UtI9Gync0BERWrRoUe/NzaR5aKWH6rlbkIcOSv0bErA7T3rsDvrOUngLe8JiT0bi6eJgDFxPvyXzpA0vvEZfvsnloaK4TVECg/M5jqyMBRZcbgRttdVWvdR16AEmiutP2ae7cJWO4KQYnExfyOAldtE/jIt7ASdwvsMqDzvsMEnS2WefPaEfqbsfXF9TlVDxtHC4wBGvD9v1MGDGwHm0yz3g5TnKpNQc477wjcR99tlHUrcpyD3NXMBu2cyC3Q4Sc/HwzMw/3MTr3ydJEfFTSUdm5kPt9/dK+o+ZtDGTh+dKSVdHxPmaaPOsrkoVFRV9GLEIo50llavqte2xaTGTh+d7ZiPRXGDZsmU69NBDddFFF0nq0pXhUA0zKO1qUr/bEEy0ZCGwMNiAs5CSfUn97BbAInjje0gf37ne08BxHNlKFxPG5SVr/TttuY0ThoVdFhlhRLA+jk/moL927dreH8sdS5ZodZu0WJJUMM8Sdy9b1mNEpX1xfHy8Z2cty+1K3Twwx4wFmWBe2GOZP87H1QkGDwss7bXuoM/cwPbQPXZTbJHYW7GFYqelbfQIc2c+YI0kW2ZMMFPsvGXwBqGfnorOi9XBVr2MNKsM5nQYGLGH52clnRcRRBW9WtJnZnLhTCKMZrTzVFHxikMOkdQ9mMqXEUtbNut2nGPZKuYGmTkqTvKSpMx8f0R8V9Lz20NvysyLZnLthspw/J/MPM7yeUqNUTUXQj5PCsD5WxRWyBvemSUMwkMky51XnLG5EdzG6eV1+U4bnnQDG5zbTmEGPFxoj989dZozNal7WPGd8dDGVPZD4Dvh9AkDhUlNVqL5iSee6PUH04KRled5WQhkhl1JzYOVBCDuIO7F5mCDnOcMHT0jM7vvXlStLAjnc8SnpzRET4yJ3XV+Z/wwei/Z4qGkjMFLFPNZ2uI5x9vgbwCmDcuFFXuKujIV36AxYswTt8uNdr3cUCb549rP/tQuFRUVFVNg1B6es8VMYts/JeljmXlxcey9mfneYQo2EzzyyCO64IILeuwB1kHyCBiAp/yC/bBjy+dk4YSAN7v7VHqyDE9SAnOFKQBP4uHnMSYSP3BDlgkd3DbmbWPfcg8AWLSXKqZvT9qLvhgz7axZs0Qf+MC5Rc+32OfM8dBDW+uxxx7rsTnGhB5gStizkQUbn5fa9aQv7HiXpZuliYXQPHzSyyDDJEmT5/eCs2LuO+4d9A2jp31s1+6hgX2zvBfdz5U+sfV62jxko2/srDDSYaA+PDu8RNJREfGP1HKX9EpJ7x2aVBUjgQ9+8HBJ0lVXXSWpM1Hw0iofTDx43LWIB7w7nFeMJkbN5rkpmMnD8x5JL5T0+Yg4RtLb1XnjzyuefPJJ3XbbbX1/iJde2hT3xIblETUc5/tkZVi9ZC2AHXDc043BPL3MhEcDeWo6t5m6XRJGUe68IgPMBhZCIguuQRbf4fakEcjEAw5mC4PCbuiJdPEt5DpYX6k7GDoyYZvz1HH4qsICp4ro8ocw+ULLEiHl2JiXK664YkI/5Vho29P/uf+srxa8MJwnuPbUdsjoEUgcZyXEC6Wcc1YHbruFqXuSbfTNCobzhhlhtKUwz5mU4YjM/HVmvkLSfWpy3s0ocL6iomLLA1FGG/q3OWAmzPNb/Ccz3xMR45J+a3gizRwRoaVLl/YYADHBTA5RFTADWB4M1dkdzIO2y3O8lIXv0Pvurhel49PL/062i14e98TGpc3O/Q+R3yOs0I/Lyu+wZvQGI6JPGBQshoS6yMxxxubtl/oAtM3uurM0lxVbHX1j+4QlMqfIBMOiXY/ogoWX9wBzDHN2mzjj9NIs9IVvKvPBGBkLCaGREZump0T0CLHyYYO91JNr++/Ihk8qfwM+18PA5vJwnA7TMs/2gXlERPzPiLhZzRJ+Rmnqp0JErIyIr0TE1RFxVUQ8NyK2j4gfRMR17ed2m9JHRUXF/GCLZ54Rsb+abMuvU7Nc/6KaJfwLp7pmI3CKpO9l5msiYomabM5/LenMzPxARLxT0jslvWNDjaxfv16PPPJIb4MCdsNbmV1RjxThE0bgiY+l/renRxjBkGCQvNE9qTEMFVbmPqlc78zVY+ixY5a10JHJ/VaJW8Ye5gmdfRfZEzmjR/TjusCG7FmY/HvpS+iJlQF6hL05A6dN9OGRXYwZWQ866CBJ0re/3WQoYz7cpozOymJ2tM34vAQLbcA80Stj4DhzjOxeDNDnAZmwKQPsuWy2SR2j5FwvncJcIgu2UfRH37BpWPagsCVtGG2IeV6tJu3cb2fmcZn5MUmbnH46IraV9JtqstMrM9dm5gNqisqxxhIbZAAAIABJREFUm3+amjCpioqKEcMWzzwl/a6kkyT9OCK+J+l0DWaXfW81Fe/+NSIOk3SBmh38nYv8fHdphsH569ev7zECWAZ2MdgODAH7D1mAeCtjqyrzVNImrAKbEd+dyTib8xyZMB2YgkfC8B0G5gW6YGzlWx2W5tFPMGuYJwwKBsT5XpKZMXE+v6NP9wdlbMjmzL6Mw4cxwUrR/VSF8WDqzCksjL6wD7ovK/qkXfcccFZMzLvUbyfFhg7rx6eUvtATbXtuAVYGjI0xoBd+575D9re85S2SusxPP/lJFyHtKx30iM7xYgAeXcbcY78dxq775vJwnA5TMs/M/EZmniTpQEk/lvSnknaKiE9ExH/ahD4XSzpS0icy8whJj6hZopd9p6ZIShoRJ0fE6ohYzR97RUXFwkFlni0y8xFJ/y7p39tNnN9TY4s8Y5Z93ibptswkNOUrah6ed5MdOiJ20RT5Q9s6J6dK0ooVK3LnnXfuMSwYAjuzpQ1T6o/9Lu1d5e9SZxOaimECfoddwHZhWrAJWBssBdbiReiwaXpJXZhFmc8T9sFvMBhnzYzLd8FhLfTt8d7Y2miX86Yqk+y2z2uvvbYnq+cE8Agg2vACeXx3X1TGQH5O2CIs2W3M6ILrPbuV1O2OIyu2dPeYYFVAITj0ypiYU/fXdD9RVgLuO+yZ/8vYdnbTYbF8spriPmV83OteztjLUg8K1eY5BTLz/sw8NTNPmG2HmXmXpFsj4oD20AmSrlTjEvWG9tgb1GR2rqioGDFU5jlc/Imkf2t32m+U9CY1D/IvRcSb1QRHv3a6RsbHx7VmzZoeu8COBROAOXAce4/HRWPzLN/wXr7XMzX5DjasYtddd5XUMUSP2uG72ws9Nt4jlGgfv0apYxnspBKv7GzO6zA5y3N/UPdh9V1jZOA77aIzfi+zVMFe3ZbrEUAwbfdaQB8wSmSE/RHd41mbmFPP4YqttJQRWbifnJHD2rzyAPcZrJedcHb+YaToET15xi3GfsYZzaKO+7NcEXGN53JFZs/hylzQBysbj5wbJDaXh+N0mJeHZ5tkZLLKebNmtBUVFQsD9eE5AhgfH9dDDz3Ut6MKC4FJwQ5haNi5YCHsOGI/kjqGwxvc80b6jqnbvYDbXWFe2Ll8ZxZGBVtmTPTHGMq28QSACbrdEFbiFRZhJcgCg3T2C0vhOvTK9UQJ4V8K+8POKPVnbKINj2ZyFgb7gtFjp0Uvni2J78ji9jfGRHRP6YsKC/VVAn3CNLEvoi/s3JxHVi9kZGzYK2H6jAl9o18YLL+XDyPOQW7s+/SNzG7nZnUFY/WIr0FhS7J5jvTDs6KiYuGhMs8Rwfj4eF9UCkwAO5vHdsNuYJfOJKR+FgU787rsngPSa6UDWAgyeEQI7NHrcXs28tL+hd8qbJXsRhxHZmx1tAnzoS8iapCR9mA1MFraYQxerwl9wtLLjEXIzXhhUHgV8LvnWvXIIs9J6isEbMPYf93bgT9s2inZMeNhLjx7vTP9fffdV1KXsYj7EBaILPTp/sjuH4qM6OTlL3+5pC4mvmyLvj/72c9K6mL9fXXhTN79lYeB+vCsqKiomAXqw3MEEBFatmyZjj32WEn9kSC8XT3ihe+wEiovlkzKbUaesRumSRQKb3xnZ+7jx/WwY240WIfnY4QxeDx1eQx71lT+lthh0QcycT0sm+N8YiulPWR2GzLnedx6aXtlRxrmw7nYA2HsnIfe6dv9ElklMEbYNoDVMT8uGxm3sH1K/VFMbtf2ewIbJn3A1JHVK3miL66DibKaoR905Hb28jd2zb1qKPcf13rOBO6VYQWYbE6uSNNhpB+eFRUVCw91w2gEsHjxYq1cubJna4KNeA5IGAOsxmv8eL0gqWMm2JJok515jxLxzE0wAXZ/eRvz5ocNeg5NZ8ewPZhVyY5hZe5VABPkXI/1d4bqGcvdz3PVqlUTZEZG9O0eAjD/0jPA7abYNtErDHKqaqOlD67Unzkd/TE2bKEwfj7RDWMp82F6jSbGwRzCTJHFbZYcRz+ecR+gF+YDPV7Q1rxH71/+8pcn9Ct1c3rhhRdOGA82XlYXfPd7Ab34PsEgsaUwz+F5ylZUVGyRmIsIo4j4vYi4IiLWR8RR9tu7IuL6iLgmIl6yyZ1NgZFmnosWLdLKlSt1+eWXS5o6X6JH1PDdI2PKXJnXXXedpH4m6Pk4Acc996P7XCKTsxeOw4gOPfRQSV1tnsnsirAM9y3FDkYfnAd7ZReZT+yNjBG2DZOE2bLzjyywOexwrsfSMwCmw6fnFYCRwpi8vrjvHnvBOPr2bEN+PmNmXkp2iH5YNTA3zmKn2jVnDn2XnTHDcmHXXs+K4+iTeWFMUn89Ko9eQq/MmWfS97wHg8Yc2jwvV5P57V/KgxGxSk02uIMl7SrphxGxf2ZucjpNx0g/PCsqKhYe5sLmmZlXSf0lwtXkBT49M5+QdFNEXC/pGEm/GLQMI/3wHB8f18MPP9y3m+l+iJ5pBvsbrMN9C0sQLQKb4lrPiOO76ByH6RCD7ezF48Cxy3puTZhTydi4SWFZpV5KGTyvpEcioSf3raQd2CAMy7O/w4axEbJ7XNaE4v9c41nrAQwKxgQLgxUik9eU8lhv2kdmt0173P5kMqA/cn5iO6ZN5tYjqmCDyIiePdoMFsn8wa6x1TMGvEikTl9E0bk3BvcP9wvjZSzuGTAMzJB57hARq4vvp7YZ0zYVu0k6p/h+W3ts4Bjph2dFRcXCwwwfnvdl5mT5LXqIiB9KevokP707M+c969pIPzwzU08++WRv19zhdjLe/EwuMdm84ctJ90zbsDJnXbA23vTYrWBjnM/1MADe/Pj8+U641zLC9lfKSNueWQdZuMbrjsOg2Pn3HW/3OYXdkKUcZsUYnS0jR1l7x23FnuWIvtAnenGbMYBJcr7HvPucM2aPGsI+XI6b32gTlsocMhaPemJVgMzYLLEhIyurDbdHomfYIfqEfZeycF965NZUXg3IRpuTLHcHgkHaPDPzRbO47HZJexTfd2+PDRx1t72iomKgmOd8nt+SdFJEPCUi9pa0n6TzhtHRSDNPqcvpKXWx3TCuqbKQY0f0Hd3S0O1Zv3nTY8+bqmIkjMff7DACz7kJK4HVwaJhFLBI+p0sG45nQIcZemSR21uRCb24od9r1PO7exS4PyNsGXYudfZQ5sR9HD3e3hknsnr9JGRBRubaaxZ57Pdk/qPOCGGKsDZkgP15BNAVV1whqZsrj9BCNrd9wtCdgaLfMrerexFwn3Avo0fGgp5hr3x6XoJBYi42jCLidyR9TNKOkv4jIi7OzJdk5hUR8SU1CdbXSfrjYey0S5vBw7OiomLhYK5clTLz65K+PsVv75f0/mHLMNIPT88dCKvgje3ZbLxeOwyJt3EZYeTMxKNPPAO672DDAHjDwwBgnsgAO3Q2B+tzu1jpO8kxPxcmA6P2rOHY+bx6Jtd5XSX3l3UG7/lU0WfJsLx2uddLQt9exwcWRuYrbHm0zXUeHUV/tMeOOTLCGrGtluC+wC7NqgPWB5Nnbj03q+dUYI4Zk2eI90xRXIctufTJdIbtkUL8DjNHT54bgD6HgS0lwmikH54VFRULD/XhWVFRUTEL1MQgI4DM1BNPPNFbErMMYjnlSxqS/nryDpZjZXE1llgsmXA7YUnKMsiX2x4mCFhGspmA6wzLRmTwDRSWrSxzyxuTJSxLNWTcf//9JUmXXnrpBBm8jLGnc2Mph6kC0wIyeblkX76jEzdNSN1ceLJoZPCk03xn6Yre0JeHmrobmm+6YKJAr17CuBw3+mHzjjln3J6WEPMI95dvpGEqYL7QF3pyx310xf2IQ7wknXnmmZI68wcyYnJBBjeDsKGEzGUAwyBRU9JVVFRUzBL14TkiiIg+hsmmDYzAnY4535PSlmwR9sqNwHcYD+dSpOuqq66S1L3ZPTyQ4+5q4y5N/A6bLtmwNJExwLRxdieUFLcc36SiFC4ywaCc5XpCZ1ga/cAePa0e7A+2WLob0SZ9+LjRL3PhDuh+nLH7phZ9whI9QQvXE25buipxDX26y5XPPQySvr3sC0yc3/n0TS/0Rb+wyck2s/gNGWCWbID5BqQHUIBhFYCT6sOzoqKiYlaoNs8RwKJFi7TNNtv02B9valgNzIs3PSUXKKgFi5vMbYU3vIfcwUb8Wk+ODGN0uyRMwK+fqnQxzMgTH0tdshHsXIwXZuhM0guMuUM59kNsfLTH2GAvpfN72a4zNsZU/lbaQctrnWkCWDNtYoNmVQHD8rBEd5dCr4yJz3LO3R0NZsncM25YK2zZSzFjX0T/3Eswf2zRyMaYCJTA/g2TLRm8lxhGBhgoemFcsFqYKox9mKWHK/OsqKiomAXqw3MEsNVWW2m33XbrsZnSyV3q3sYwAhgWKBMuSBN3NX333G1utAnLhfnAXty5G5YxFfPEPuaO67Ag+i2ZG/Jjb4WB4twN24WN4eyNjdNL3sJiOA6LcUd9foe90R4yejIUqUsu7V4IMGrG7eng0A+My1OsubM47JC+YW2emo7fS3s5//cEKp4Imz6YC8ZLXzBG9IkNmvBhSrxwj2BLpj90xVhLPdI240c25pq5gakzFn5Hxlp6eNMx0g/PioqKhYf68BwBLFq0SNtuu23fG5pUc7x9+R2G5mVovdia1LEubEvYrXize0o63ui86T39GKzMS+vuu+++E/r2ZMrY9LzY2GTneiIPgAzOTryIGszVEz0jg5ckgTlh46N9bKewbqn7g4JBsnPt6QDddxS9uw3Zk3h4ekHs4F4S2ktJlzZW5g6fUu4BrkUPMETmGObIuDkPRs+KCK8PGCuy0B/3Ke0yhjK81n1LPUE1vqW+gw+jZ65gsIOGh0xvzhjph2dFRcXCQ2WeI4C1a9fqlltu6b2heWN7UmAvNua2O09pJ/WX14Ut8Kb3hBbeFm9fWAnXkRSCRBXI7uUlAO3D2MpUYpwL63A/Qk9bhoy+o42+XGa3r8Fe2LmGecK4SMnmNtRynJ5KDiAbc+XMCXh5acbGd2eyzBv9OfMs/Txhqezw851P9ARD9xLF9OGpEd0Dg+s9lR868Ei50muB/++1116S+u2yMEvmgNUA9wp2Xdf/IFEfnhUVFRWzQH14jgDGxsa0bNmyHjPgje2+kTBQ3r7+6T5yUveGhlVNFcHhNkxkcabotjpYm9uwPM2Zl8otff5gKsjikVTI6inpvDAcY5gqxRrHkdl9JrHZcby0dQIYI+e4zRFW54X2pioz4aU/ADLRHp/4UNKex5NL3RzixeBsDVkp73LttddOkA09Mw/uA+ylVBjLWWedJanfPutjl/rLIHtSY1Y46IHxeQTWsArAbUk2z3kpwxERf9YWrL88Ir4QEUsjYu+IOLctVv/FiBhe/FhFRcXQMM9lOOYMc848I2I3SW+TtCozH2tT5p8k6WWSPpyZp0fEP0t6s6RPbKgtdtvdJxCW429fZ6BEYfjucwn3p/NddXZ5veQCLAOmhR0R1gKboT23ydEex5Gt9FXFtuYlk30395JLLpHUJUGGdeFbilcCjIFSt7BAZEG/jB3dcB22V3bSS1ndDxYZYXnssq9atWpCX9j0kBlfVZhnmRy6bB+WzB8qescGyO9lViW3OXqJasBqAP0gI2Mix8BUY+U4Mnm0D/1NZh+G1aJzz5WAHpGx9CCRpKuvvlpSf3LkQWJzeThOh/kqALdY0rKIWCxpuaQ7JR0v6Svt76dJevU8yVZRUbEJqMxzSMjM2yPiQ5J+KekxSWdIukDSA5mJAWtGherHxsa0fPnyHhOCcbL76cXUnI1MxUzL/3uxNI57tAlMifhl3+3lepgDbILfyccI62B3GgaL7LCVsk0YE7vdMCJAWwA9YZeFxTjDgjli02SMtM8YsePCsmGypT7pA/bFeGCQsGffBacN5goZkM39Rz2jFuB6j6IqmSttwaDpg2vQm8e0wyT5zicycY+4TROWiP484ovP0i5LW+gNmWHURMkhK+Mj3wH3XXkfDRLV5jlERMR2kl4laW9Ju0raWtKJG3H9yRGxOiJWD9PdoqKiYnaozHN4eJGkmzLzXkmKiK9Jep6klRGxuGWfUxaqz8xTJZ0qSTvttFNKHUvhTY8d0ouw8bD1Mq0wJS93W57ju+tewAwbE2wCcJx4ZRgrLA1bFezCSxeXPn7tmHv/pw2PdsJPEX147LnHtmO7hA16nP1UNzuMFoaG/mA9+LKW53jOUWzByIBNkzl1u6q357bjku2WsuCziv49u3spC7ZwzoG9we5gz8wdenZ7KqsW7gEv3uaZobBJowPmk/tVki666CJJ/THrnHvYYYdJ6uyw6MO9RzzPwyCxuTwcp8N82Dx/KenYiFgezR1wgpoayz+W9Jr2nDdI+uY8yFZRUbGJqMxzSMjMcyPiK5IuVFOU/iI1TPI/JJ0eEX/XHvvUTNuEKcHEiL5wXzgmDRYD44SVlHYyz6TjWZFgTrAU2kQG2Ai2JvzqfKcVe5fXB4KNOMMo7ZJc6z6RMB7fiYYRedy31yiCycIcYS+e99MzycMWJ8vYA1tDL+gTWWHLfMLCOB94HgLP0s4cwuQ93p6VATKWph+3O/Pdc7XC6pABffK7+6R6FBTMEhmwzTMG8s6yWkF2qZsLL4dMn/iz+soIfXA/e0axQWJzeThOh3lxks/M90h6jx2+UdIx8yBORUXFgLAlbRiNdITRunXrdP/99/cYE6wCJgCrwZbFLrxXP8R2VeaahC3wyS4vbAIWRh/0CVP0iCB2Qb0ODtfTvsfhA/czlfrjtHnjYydERvf7hP3CoNwDgN10rw904IEHSuqYKfpmLLBp+ikz98AAPWMR42cOmStkpi9Ymu9Eu0+kn+fz4Rmkykgb7LGcg63Rq2AiG6sPVjaeqYixMXb047vxyO5+yr76kPrnBiaJPlmNwFDpi7a5n72m0SAxF8wzIn5P0nslHSTpmMxc3R7fS9JVkq5pTz0nM/9oGDKM9MOzoqJi4WGOlu2XS/pdSf8yyW83ZObhwxZgpB+ejz/+uK688sremxsW4Tu4nieRty+2JGxMZaVKGA+sDuZHW9gy2a1lFx6bEzcQrA5GRITHxRdfLKmLEnIGBjzmu4wbh5nAALH9eg30qbKLu38iesEGB2OCxUxV6xt9w+6uvPJKSV39eKmzscH43C4Im4O9oT/Gjx49J6vPKbI6C+c4c831pQ+l2zbRJ/cCKxWvCcVqwjNi+b3iNebdu4GVAJnmkaO0T3oWLu6B0i4qdTlEy/yvpSylJ8SgMRcPz8y8SurX+VxiviKMKioqNkNg85zu35Cxd0RcFBE/iYjnD6uTkWaeTBS7orx9S784qbN1whiw/3jMsWfokTq24XVrYJqwNxgn32FQnr0GNuF12+mHMXh2eOyIpR8pzIUdf981h3V4zXn6gMV4liT04/kkYS1eMx1WRzVPj6yROsbnUTkwQM8q5flU0Q/685pG7lngtk7sjeidsZSAMdEncwAz5BO7LX0gg/uc4vXB/QWjRM9cD7umf/TJmEo7N/ef20e9uipz7z6+yMrfxDAwQ+a5Q0SsLr6f2vpw9xARP5Q0WSjUuzNzKlfGOyU9IzN/FRHPlvSNiDg4MweeOn+kH54VFRULDzN8eN6XmUdN086LZtH3E5KeaP9/QUTcIGl/Sas3eOEsMNIPz8zU448/3mMv2AV915O3tNfiYfcU5lZG83hGeJgm9j0YEuwKmygMACYKsGfBRqhdBFtj55axwLBgZJdffnnf2LBhApiMx/C7fybnea5HrvM67DAlxgp7QZ/OCmFDpT2Ka7DZslo4+OCDJfXvhtO2+4EyVwcccICk/qgpVh2emxTZGAN69KxDUn+FU1grDJ0+PWYdey6sFqaK3lmFcG85W/RILcZSeoFwL3MMFoxPKH3C9Lm/GBP69Byvg8R8+nlGxI6S1mTmeETsI2k/NW6QA0e1eVZUVAwMM4kuGsTDNSJ+JyJuk/RcSf8REd9vf/pNSZdGxMVqsrT9UWaumaqdTcFIM88lS5Zojz326O1k8zaGnbAzC0uB3XHca6qXwKYG4wRMPG94mAAsAV9B3ymF6XAe7AVW49FPMDPPDlTK6hU1nQ177LpnJofd0bczdOyrsDrPJA+LgWHSPrKXtmfOgelhc0NGzw4E+0Im9MUcw+SdTfM7TMvtl4yFeS316ZFmnm/Ta8Nz39HGEUccIUn60Y9+NEEm93YgX6rbs2Gu9A87LKOs0K3Xu6dNPBzok0gtrvOMUcPAXDjJZ+bXJX19kuNflfTVoQugEX94VlRULDzU8MwRQERo6dKlvTczjMlrx8AcXvSixv586aWXSurPdgOzkLpoGq6FQcISYAewFd7ksAuvNIltimgVWA073uzEwmiRhXYmi0n2TE/spvtuN4zG6yzBFGGDXO/Zf7CbYa+lHbeZevYh2I7U2Xjpm+/MFZ4QyIyvKeyV62BO7muJHZFILvcXRVY+0VHJwOiTvmB+6BxZOc9twu57SnYvr/iJ3RzbqO+yw+id2UvdigYbJ/cXn4wbfXieAWTjPsWWPEjUh2dFRUXFRmJzypo0HUb64UkNI2cIXsPas7HDSGEKoLTReV3wkpVK3c6px8fDhHije30amJFHP3EetivP5ch5pYwwF4+WYXxus+NarnM/TfTmGfk9Vya6oV2vDw9LLn1c6dtrxDM3ngn9BS94gaTOhlyyWKmz5WG3hmF5ZVDGgozUSIItlswLZo1ePPMQTB+G7t4MsD9smcwhLBe9ecw8OmFe0DtVCUo9uk8p16I39Om5FVidINtkuWsHhZoYpKKiomIWqMxzRDA+Pt5jRB4pw5sfVvLDH/5QUmfvcZZSRu/AwmiDT+xP2ERhIbTJeVzP73z3Gt4eCQOb4ztshfPKzOeeZZ1zPEM+baIH3/F2X1b6xmbH9bQH0/IMULBvbMmlLyF+r0cffbSkjhHij3jZZZdNGB/2aZin+47C2viEdfM7ny4rY2WMZXYh97N0Wzjnog/i7b/73e9K6mfk7m/r2b64N5CJ+w8WiX2zvC89Ryg2Tmzlft8wbs8oX/qODhr14VlRUVGxkag2zxFCZvYYDm9fZyMwNOxmnO875rBJqbM9euVI2MbhhzcZr8455xxJXQTQc5/7XEldpm9nCLTrkTMwK2SGgWF3gzXi3yh1u7bYxGC16IE2vK49zNNzhKIPZCTjk1cORUb31aQ/34WXOpZFW7ArrygJ20M/2JQ9axL6RMbnPe95kjofS5gXn7A7fIDRUcnAYIroExunZ7NHZv/dfUrpy/OpojfYMYyUT66nGmq52kAfAH2hX69QANAnc0yto/POO0+DRrV5VlRUVMwClXlWVFRUzAL14TkCGB8f14MPPthz/WB5xLKUJYoXw/Jia14sTOqSyeLa4hsSLIFZYh133HGSuiUZS2qM/R7ax/ITWdw1CVncKZ/kJ1K3lGcJyxKUvgFte6iop39j6efhhK5HZEKfvjmB+1ApK5stnpbNHftx/j7//PMn6IdlKGYO+j722GMldaGRP//5zyV1m1bXXnvthO8spX0TSOpPfOJpAtn0cr0QhMCGE8t/jtOel24hIbGX22B+GHspoye69tBR7gk3c3gKOy9pPShUm2dFRUXFLFEfniOAtWvX6o477uhzvOYNztuZtzJveBgXhng2AGBB5TWwEZgN7jscp0364s2P6w03Eu0hG4Z9WIg7zcM+jjqqSXlISGlZKhemCROib1gysvIdVy42SwD643f0ArOCvXAerI9NH9gg7BGWWDJ5DwuExcFA0Q9JXLjWkxbDqNA/c8YmFyCEEtlgj8w1m4flZhDlQ3DAh8G7ixL6c1cxNpqYM2fLrgMv/IZemQfcuMok3ayIYPUeEoss3AvOVHFH8wCRQaJuGFVUVFTMApV5jgAWLVqkrbfeumej441HIgtPOOyp63ijw0bKNzw2IeyEXqoD5gIrefGLXyypc1V63/veJ6ljoDAkmAKMACbpIaPYy5CZT2x2pdwwJdyAKDIHq4LtugO/J8eAoXpJDMY4lSO2J8agXRiU1LEt7HzuFgRL43f0hp7Rjyd7wXXr85///KQywupoB1bN2Eqg22c961mSOpaGHduTG3Pci/Zxf7mNHX1hS0UG3K08uIGxlnpkbrgfYP+0xQqJtIvI6qWJpypxvamoNs+KioqKWaI+PEcAY2NjWrFiRe+ty5uat60n0OVt7bufnt5M6neMxn4Ii4PtwU5e+MIXTjgfGx4sAnbGTjQyuBO3p4+D8fpuqtQxQtriXMbD+LB3cVN7qKiXbvZkEh7KB+NiTDBeD0csS4Zgv3v+85tihr6bThuMBZsmTAm9eFglrAwbMnrCzsjYsbHiiA77K1cbyEhfrBIYF+PF64C+6IM20Tt6IOGIJ2BhjMcff7wkafXqpswO94KHeUrdfeep9TxxtdvgOY9gDoI9hoFq86yoqKiYBSrzHAFg88Tuhf0HZoCd0RMteJo5GEUZ0sbbHhbHd9riTe9lOoAXhoMRABgsO7owMM6DvfC7FxkrxwHLgOUyDsaPrQ7bGuPmevSFzRIGCvst/TVLmWC6sEAv+1GGFWJPRCb0B/PzUiB89wQftMkuPMdhjYTFAlYhtOe2v3KFwf/xtUVmTzTDJ4yc5CUc9wKE9M0cwlA5jsxc52HFZVll0tTRFucwV3hleClmxsZ1MHA8DAaFavOsqKiomCXqw3MEQDJk2AxMyHfP3bYHu8NOBhvBniR1Nk5PV0dCEHYzKSpHm7C3v/zLv5Qkve1tb5PUMR0vfQHj9IJdMILJ2AdAJq7FqwCbE4yQHWwYKDIiA+zOy0TAVmgHzwDY39lnny2ps/d6xFG5S4wef/azn0nqT0yNTRLZkAnWCxuDNdMebI1VBWNCBtggLBLd8MkKQep2qmnb9eJzgD48uQnMEnbsheDcP9QTgPA715f1DplsAAAKxElEQVR2We5Z7mUvTzKVDZlPGKeX5xgk6sOzoqKiYhaoG0YjgMzUunXrejuHsEXe8B6tA1ODafL2Zgf80EMP7bVNG7A2dm9hRrzBYTaf+9znJElvectbJHV2M2ykHk1C+7Bm2Aqsj++wPsYAK5EmJhsuv3sZEuyy2DK9GBp64qaH/WILxZbq6c+8UBwMDdZTps8j4sdtwB4FxjjdFxKmxHXsYHu8uRdEY669EBwo48a9LC/MkrmjDe4FfmfO6BMZYc2eWNvzHaAvL6vMcdIiluNlTt3mzn3FXCAzfVOa2EtaDwpbks1zbPpTZoeI+HRE3BMRlxfHto+IH0TEde3ndu3xiIiPRsT1EXFpRBw5LLkqKiqGCx6gG/q3OWCYzPMzkv5J0meLY++UdGZmfiAi3tl+f4ekl0rar/33HEmfaD83iLGxMS1btqxvd9d3ILGv8SaHCcC0PN5a6tgHb/2LL75YUpcViDc5bZbXSh3D9AxG2KQ8ETMsBF8/323m+jIyxMtswHxgMLAslwFWx/i9/C/6YWcXey3HGTPMlt1mmDu2wZLleUy6g9WDszD8Ej1WG325bZOxOQtHB+53WyYXhmkD2oZJogdsy7BpLyZHX6xafO7Rt9sdsV/CHrkHyqJ/rJLcY8KzdJXliss+mWMvqDdIbC4Px+kwNOaZmT+VtMYOv0rSae3/T5P06uL4Z7PBOZJWRsQuqqioGDmsX79+2n+bA+ba5rlzZlJH9S5JOC3uJunW4rzb2mN3agbwTDLYorxkgefM5E3v2YSkjnHSBp9ktYGVYEc85phjJEl///d/3wyu3SmFCbCjit8hDMptoO6zCRtyf0epYzxeXsOL1bn9CzsfY0IPXO+ZoNAvbIXzvKCcRziV2ZvcDu2rAlgq+ipj+KWO1WFfxDeSMXqJFWSCwXrEEvNbsiT06FmoOO6F8AB9HnzwwZI6WzCrC1/hYAvlHkE33BO+Y16WR3ZfZXSOZ4QXrfNVF+P1CLpBYa6W5RHxPyW9QtJaSTdIelNmPtD+9i5Jb5Y0Lultmfn9YcgwNOY5HbLR8EZrOSJOjojVEbF6mLWnKyoq/v/2zjZGrrKK479/WmkLa3hPrFTZGlFTiJa11RL9ANaXBg0vakwbohAbrabRakgMGz6oH9AYfMO0GgsEE4UiVkJrE1hKJX6ilRY2dKGtYioK0doES9QiKfj3w/M87u10tzsdZufeqeeX3OTe587MPXNm5sx5Xs7/dkaPxjy3AhfZfjvwO2AYQNICYDlwIbAM+KGkGd24YCu9zjwPSJpr+y+5W17Si+eAahnLvNx2DLbXA+sBBgYGPDY29r+xuZJllNng1oyo/AuXf92SGZR/69aMAsbXW5ZZyjLmWca1WrUuS2bTqhtZMqZyjZIdt+p5liym2FSyuJI5VW9SV+wvGUuZgS7HrWNt5bhkPK3qP6017eXxJRNrVT4vs/LF9tZVDCWjgvFsv/VaJbMuNpe1lq0ZUrl2yahK1tyqyVo+p6IgXzLMoaGho65TKN+Nqr3FpvKZltnvkjG26g+U70CxdTJ9zmJr+Q60apC2qsAXf1bXy5b3XR7but61tJdst3wfy/rQ0lOqzuB3m15knrYfrBxuBz6e968E7rb9ErBf0tPAu4BHum1DrzPPzcC1ef9aYFOl/VN51n0J8EKlex8EQR9Rw5jnp4H78/5kQ4BdR9P1LyFpA3ApcA5wAPgqcB9wD/BG4BngE7afVxq4WktKsw+Txi92tnGNg8C/gImncJvDOYSN3SBs7A5VG8+3fW63XljSA/n1p2I2UB13W597ldXXegh43QTPvdH2pvyYG4FFwEdtW9JaYLvtn+XztwP329544u/m+Exb8OwVknbaXlS3HccjbOwOYWN36Acb20HSdcAqYKntw7ltGMD2N/PxCPA1233fbQ+CIHjVSFoGfAW4ogTOzGZguaRZkuaT1o7/djps6OvyzCAI/m9ZC8wCtublatttf872k5LuAZ4CXgZW2z5WVacLnAzBc/3UD6mdsLE7hI3doR9sPC6233ycczcBN023DX0/5hkEQVAHMeYZBEHQAX0dPCUtk7QvqzHd0AB73iDpYUlPSXpS0prcPqGaVM22zpD0uKQt+Xi+pB3Zlz+XdMpUrzHN9p0haaOkvZL2SLqkaX6U9OX8OY9J2iBpdt1+DDWz3tG3wTOXXK0jKTItAFbk0qw6eRm43vYCYAmwOttU1KQuALbl47pZA+ypHH8L+F4eS/o7qTa4Tm4BHrD9NuAdJFsb40dJ5wFfBBbZvgiYQSoLrNuPPyGtl64ymd+qamafJamZBe3STh1qEzfgEmCkcjwMDNdtV4uNm4APAPuAubltLrCvZrvmkX5E7wO2ACItmp45kW9rsO90YD95TL7S3hg/Ml7JchZp4nUL8KEm+BEYBMam8hvwY2DFRI+LbeqtbzNPeliG1QmSBoGLgR1MriZVF98nrZErdXJnA4dsl5vl1O3L+cBB4I48tHCbpNNokB9tPwd8G/gTSf3rBWAXzfJj4UTVzII26Ofg2VgkDQC/BL5k+6j70Dr9xde2xEHSR4C/2d5Vlw1tMBMYAn5k+2JSCe5RXfQG+PFMkgjFfOD1wGkc211uHHX77WSin4Nn20pMvUTSa0iB807b9+bmA0XcuUVNqg7eA1wh6Y/A3aSu+y0kAeqy7rduXz4LPGt7Rz7eSAqmTfLj+4H9tg/aPgLcS/Jtk/xYmMxvjfwN9Qv9HDwfBS7Is5unkAbrN9dpUBY4uR3YY/u7lVOTqUn1HNvDtufZHiT57Ne2rwEeZlzWq24b/wr8WdJbc9NSUsVIY/xI6q4vkXRq/tyLjY3xY4VQM5sO6h50fTUbcDlJCPUPJKWVuu15L6lL9AQwmrfLSWOK24DfAw8BZ9Vta7b3UmBL3n8TqQb4aeAXwKyabVsI7My+vA84s2l+BL4O7AXGgJ+SygVr9SOwgTQGe4SUwa+czG+kicJ1+fezm7RyoPbvZb9sUWEUBEHQAf3cbQ+CIKiNCJ5BEAQdEMEzCIKgAyJ4BkEQdEAEzyAIgg44GcSQg2lE0iukZSwzSfXmn7R9qF6rgqB+IvMMpuJF2wudlIOeB1bXbVAQNIEInsGJ8AhZOELSgKRtkh6TtFvSlbl9MOtv3pq1Lh+UNCefW5x1I0cl3Vw0J7O26M2SHs3nV9X2DoOgTSJ4Bm2R9VOXMl4C+2/gattDwGXAd3KZIiR9yHW2LwQOAR/L7XcAq2wvBKo35VpJKg1cDCwGPpPvfBgEjSWCZzAVcySNMi5ltjW3C/iGpCdIJX/nMS51tt/2aN7fBQxKOgN4rcfvn31X5RofJNVYj5Ik/M4mBeAgaCwxYRRMxYu2F0o6FRghjXn+ALgGOBd4p+0jWaVpdn7OS5XnvwLMmeIaAr5ge6SrlgfBNBKZZ9AWtg+TbjtxfZZcO52kC3pE0mXA+VM8/xDwD0nvzk3LK6dHgM9nOT8kvSWLHwdBY4nMM2gb24/nbvoK4E7gV5J2k9SP9rbxEiuBWyX9B/gNSX0d4DbSrSMey+OmB4Grumx+EHSVUFUKeoakAdv/zPs3kO6Xs6Zms4KgIyLzDHrJhyUNk753zwDX1WtOEHROZJ5BEAQdEBNGQRAEHRDBMwiCoAMieAZBEHRABM8gCIIOiOAZBEHQARE8gyAIOuC/ci76RTz4qaUAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# define the CR position as the centre of the image\n", + "cr_pos = np.array([sub_im, sub_im])\n", + "\n", + "# some plotting scripts are included in the plot.py module of CoRAL\n", + "from coral.plot import plot_mean_intensity\n", + "\n", + "# Plot the mean intensity image\n", + "plot_mean_intensity(avgI, cr_pos, targ_win_sz, clt_win_sz, 'SERF')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We will use the python 'datetime' module to handle time objects. Lets set the start and end times for our time series plots" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2018-07-01 00:00:00 2018-11-01 00:00:00\n" + ] + } + ], + "source": [ + "from datetime import datetime\n", + "\n", + "start = datetime(2018, 7, 1)\n", + "end = datetime(2018, 11, 1)\n", + "\n", + "print(start,end)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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CF1vp6acjzmQ2DL8wY2AEn4ICaNYs83MO9OjhWgW9erkJan36wLp1fqsyDMCMgZEJFBRkbqugONnZ8NFHMGyYy7rWuTN8/73fqgzDjIERcJYudWGijzjCbyXJIysLbroJxo1zYbO7d4fhw63byPAVMwZGsMmEyWaJ0q2bc46fcgpcdx2ceSasXu23KmMPxYyBEWwKCty4/c67TVkpH+y1l8udMHw4fPIJdOoE333nt6roWLa3cocZAyPYFBRAx45QrZrfSlKHCFxzjTMClSq5jGrDhkFRkd/KIjNqFPTv77rvVP/M9mYGIbMxY2AElx07XEKb8uQvKI2uXWHyZDjrLLjlFtd9FMSkOYMG7R5zaeNGt93IWCwHshFcZs924/LLo7+gJOrUgTfegOOOc62FTp3cZLUePfzRowrLlrn0nzNmuM/58yMfu2BBerUZScWMgRFcyrPzuDRE4PLLXYvo3HPh2GPhzjvdm3cqYzNt3AizZu364J8+HVau3HnMvvtC1aqRk/g0aZI6bUbKMWNgBJeCAqhXDw46yG8l/tCxI0yaBP/8pzMGY8fCa69Bo0ZlO29REfz2264P/Bkz4Oefdw5vrV7dZZU780yXA7pDB/dZv/5On0HxrqKKFd1Q4EyfHLiHYsbACC75+a5VsCdH+qxZE155xbUOrrzSdRu99przJQwa5LpmmjZ16ThzcnYrXnH9emdEwt/2Z86EP/5wB4hAixbuQX/eeTsf/Acc4EYKRSJ0nfDrn3UWPPus+3t9+KE7j5FRmDEwgklhocsDcNZZfivxHxEX/vrww1230V/+4t7Ct293+0OjeUIP5rAH/1GLF+88z157uQf9pZfufNNv2xZq1IhfU07O7sbn/PPhtNPgyCOd3+OUUxL/zUbaMWNgBJOJE113xp7mLyiNNm3c6KqGDZ2xDGfjRrjtNve9UiV3bK9e/FKjBgf+9a/uwd+oUWpbWYcc4vSddppbhg+HAQNSdz0jqZgxMIJJKFLpYYf5qyNoVK++s4unOCKuVdCqlTMIwMIxYziwZ8/06WvcGPLyXKvh6qvhp5/gkUdcS8YINDbPwAgmBQXOcVy/vt9KgkfTpiVvb9fuT0PgGzVruiB8N9zgMrydfjqsX++vJiMqZgyM4KFaviKVJpuhQ10LIZzq1d32oFChAjz4oHMqf/45HHWUzUMIOCkzBiJSVUQmiMg0EflBRO7ytu8vIgUiMldE3hCRyqnSYGQoixbBkiVmDEoiJwdGjHA5HkTc54gREUcT+U7//i7m0oIFrstvwgS/FRklkMqWwRbgWFXtCHQCThKRI4BhwCOq2gJYA1yaQg1GJhLyF+wpYSgSIScH5s1zTvZ584JpCEKccAKMH+9aLz16wFtv+a3IiEDKjIE6QkMeKnmLAscCobvhZeDMVGkwMpSCAqhSxQ1/NMoHrVu7v+shh8Df/gb33Wf5GwKGaAr/ICJSAZgEtACeBP4N5HutAkRkP+ATVW0XoWx/oD9AdnZ2l9GjR6dMZ6IUFhZSs2ZNv2XETVB1h3R1uvpqpKiIKU884bekmAl6nQaFrK1bafXAAzT86iuWnngic264AfUc3kHTGiKoumKhV69ek1S1a0wHq2rKF6AukAscBcwN274fMDNa+ZYtW2oQyc3N9VtCQgRVd25ururWrarVqqlee63fcuIi0HUaNIqKVAcPVgXVHj1UV65U1YBq1eDqigVgosb4nE7LaCJVXesZg25AXREJDTpuAiwusaCx5zFjBmzaZP6C8oyIi7U0apTzJXTr5uIiGb6SytFE2SJS1/teDTgBmI0zCud4h/UD3kuVBiMD2VMjle6JnHcefP01rFkDRxxBnalT/Va0R5PKlkEjIFdEpgPfA1+o6ofAzcD1IjIXqA+8kEINRqZRUAB77+2GSxrln+7d3d+8YUM6DhwIL73kt6I9lpTNEVfV6cBuiWtV9VfAYgwYkbFIpXseBxwA333H2uOPZ6+LL3YhLIYMKTlqqpESrLaNwFBxwwaYM8f8BXsidesy4/773SS1++6DPn12z5dgpBQzBkZgqPXjj+6L+Qv2SLRiRXjmGXjoIfjf/6BnT5csx0gLZgyMwFB79mzXPXTooX5LMfxCBK6/Ht55x+WzOPxwN8LMSDlmDIzAUHvWLDdTtXZtv6UYfnPGGTBunEvg0727i29kpBQzBkYwUHUtA/MXGCFCyXJatIDeveHxx/1WVK4xY2AEg19/pdL69eYvMHYllCynd2+XLGfAgJ3pPo2kYsbACAY22cwoCUuWkxbMGBjBID+fHVWrugTthlGcSMlyHnsMmjd38xGaN3fhLYyEscSkRjAoKGBDq1bUtVy5Rmn07w/77+8czNdcs3P7/PluHwQ7t0OAsZaB4T9btsDUqaxv3dpvJUYmcMIJULfu7ts3boRBg9Kvp5xgxsDwnylTYOtWMwZG7JQ0Gc3yLCeMGQPDfzzn8fo2bXwWYmQMTZvGt92IihkDw38KCqBJE7Y2aOC3EiNTGDrU5VQOJyvL5UkwEsKMgeE/BQU2pNSIj5wcGDHChToXgexsKCqCr76y3MoJEtUYiEg3EXlSRKaLyAoRWSAiH4vIlSJSJx0ijXLMihXw669mDIz4ycmBefOcEVi+3IW9HjUKHnjAb2UZSanGQEQ+AS4DPgNOwiWsaQPcDlQF3hOR01Mt0ijHhCabWRgKo6zcdpsLfX3rrfDhh36ryTiiDeq+QFVXFttWCEz2lodExDp6jcQpKHATirp0cXFoDCNRRGDkSJdP+bzzXKIkG5QQM6W2DCIYAkSkgcjONFSRjjGMmCkogPbtd3cGGkYiVK8O777rPk8/HVav9ltRxhCtm+gIERkjIm+LSGcRmQnMBJaJyElRyu4nIrkiMktEfhCRa7ztg0VksYhM9ZZTkvdzjIyiqMicx0by2W8/lw9h4UI491wLbBcj0RzITwD3Aq8DXwOXqeo+wDHAfVHKbgduUNU2wBHAlSISarM9oqqdvOXjxOUbGc2cOS7gmPkLjGTTrZvLmvbVVy5ZjhGVaMagoqp+rqpvAktVNR9AVX+MdmJVXaKqk73vG4DZQOOyCjbKEQlEKh01ymKTGTFy8cVw3XUuD8Jzz/mtJvCIljImV0Qmq+ohxb9HWi/1IiLNgTygHXA9cBGwHpiIaz2siVCmP9AfIDs7u8vo0aNj+0VppLCwkJo1a/otI26CovugRx6h4Vdf8c3770NWVlRdX365Nw8+2IotWyr8ua1KlR3ceOMcjj9+eTokl0hQ6rQ4QdUViVRolR07aH/rrdSdMoVpDz3Eug4dAqErXfTq1WuSqnaN6WBVLXEBduAe2htw3T7rw9a3lVY27Bw1gUnAWd56Q6ACrlUyFBgZ7RwtW7bUIJKbm+u3hIQIjO5OnVSPP/7P1Wi6mjVTdTOKdl0aNFCdPz+1UqMRmDotRlB1RSJlWtesUW3ZUjU7W3XevLiLZ1IdFgeYqDE8p1U16miiCqpaW1VrqWpF73tovVI0QyMilYD/AaNU9W3vnMtUdYeqFgHPAYfFZLWM8sXGjS7ReRz+gpJikK1c6Sai7rcf9O3r8p9MmQI7diRJq5HZ1K0L778PW7e60Nd//OG3okASbTTRXqUtUcoK8AIwW1UfDtveKOywv+JGJxl7GpMmuad1HP6CkmKQ7bOPy3PSvbvLoT5ggEufW7eui3Y8eDB8+SVs2JAc6UYG0qoVvP66ewHp18+NZCsPJNGJFm3S2SRAAQGaAmu873WBBcD+pZTtDlwAzBCRqd6224C+ItLJO+884PJExRsZTH6++4zDGAwdCn//O2zatHNb9eouAVZOjjMCqq4F8e23O5e773bbs7KgY0dnNLp3d8mymjRJ8u8ygsvJJ7tQFTfeCPfck/lB7UaNcgl9Nm5062VM8FOqMVDV/QFE5DngHfWGgYrIycCZUcp+gzMcxbGhpIYbSXTAAS7AWIzk5Ljc6CNGuMmmTZs6AxF+34u4LqNmzdwkVIB165ztCRmHkSNdVxK4c4SMQ/fubv5bhQq7X9soJ1x/PUyf7pqL7drB2Wf7rShxBg3aaQhChBL8JNsYhHGEqv49tKKqn4iIRYMyEqegAI4+Ou5i27ZB/fouLllWjDF369SBE090C7g5SNOmwTffOOMwdqzrQQCoVcsNUQ8Zh8MPd/nYwxk1yv2/LViw0yA1tkHTmYGIy6P8009w4YXQooVrLmYiJTnREkzwE6sx+F1Ebgde89ZzgN8TuqJhLF4MixYlNPM4L8/ZkFgNQSQqVnShkLp0cWl0VV0L+9tvdxqIwYPd9goV3LPiqKOccVi+HG6+efeW+XXX7U3PnolrMtJI1arw9ttw6KEuZMX338Pee/utKj7WroVq1XZvGUDCCX5i/ZfqC2QD7wBve9/7JnRFw0hgshk4G/LLL9CjR3LliDjfW04OPP2060VYvRo++cQFwKxTx81Z6tPH+SUitcyff/6A5IoyUkujRi6G0fLlcM45bqRRpvDVV64/c9MmqFRsUGf16q6pmgAxGQNVXa2q16hqZ1U9RFWvVVWLAGUkRkEBVK4MnTvHVSwvz30ec0wKNBWjbl046STnZ/z6a+d3KC2o6vLlVVIvykguXbs6B9K4cXDllcFPirNpk5tRffzxUKOGuyFffHFngp9mzZxDLQF/AUTpJvIcx4+p6owI+2oAfYAtqmpBAYzYKSiATp2gSnwP0Lw816fvRxdvpUquV6FZM9c1VJz69bcCZhAyjr593XDT++5zN9ZVV/mtKDJTpsD558OsWa55ev/9rhXQtWvCD//iRGsZPAncISKzReRNEXlKREaKyDjgO6AW8FZSlBh7Btu3w8SJCfkLxo51ffd+jvaJlHoXYMOGCrz7bvr1GElgyBA47TS49lrXBRMktm+He++Fww5zfoLPPnOTalIQ8j3aDOSpqnoucCjOMIwD3sdFL+2oqo+q6pakqzLKLz/84GaAxmkMli+H2bOT7y+Il+Kpd5s1g4cfhubNN/LXv7pWfCZ1Pxu40QivvQYHHwx/+5tzTAWBX35xfaKDBrkhsDNmwF/+krLLxTSaSFULgTEpU2HsOSSY5vKbb9xnOvwF0cjJ2b1l3rbtFD76qAfDh7vRSKNHO6e0kSHUrg3vvefewE8/HcaPd9v8QBWef969WVSsCP/5j+vOSjFlGKBnGAlQUAANGrgJZ3GQl+dG0nXpkiJdZaRyZeXRR+F//3ND2Dt3xrqNMo0DD4Q333R5NnJy/AlutWyZM0b9+7sXphkz0mIIwIyBkW7y893bl0SanF4yY8fCkUe6QUhB5qyzYPJkN5fpr391E16t2yiDOPZYePRR+PBDuP329F773XfdrOgvv4Thw+Hzz130xTSRsDEQkcRmNhh7LuvXu47/OP0Fa9e6GcNB6CKKhQMOcN1aV18NjzziJsnNm+e3KiNmrrjCvZnff7/rokk169fDJZe4t4f99nNBHK+5pmwzKxMg6tVEpJuInCMie3vrHUTkP8C3KVdnlC++/971h8bpL/j2W1csU4wBuFGzoW6jOXNct9F77/mtKnmU64xzIi472jHHwKWXUuvHqIkdE2fcODek9eWXnaM4Px/atIleLgVEC2H9b2AkcDbwkYgMAT4HCoCDUi/PKFeEnMeHxZfCYuxY1z2UwGhU3wnvNjrzzPLRbRQKljl//s5QHv37lzODULkyvPUWNGxIuzvugCVLknv+LVtcXJMePdxY6XHj3BBXH/tBo7UMTgU6q2pf4C/AtbigdY+q6uaUqzPKF/n5Lq583bpxFcvLc/ajWrUU6Uox5a3b6JZbSg6WWa7Izob336diYaGz5JuT9MibMcPd0A884GKyT53qHGI+E80YbA499NXlKf5ZVeelXJVR/lB1LYM4u4gKC10XaiZ1EUWiPHQbzZoF//iHizEYiQSDZQabDh2YfeutLvRD//5lC1lRVAQPPeRmDS9dCh984CKoBiS/cjRjcICIvB9agP2LrRtGbMyf72aOxdnXM368m4SZ6cYgRKjb6MADM6PbqKgIPv7Yhf9u2xZeesmFxYlEeU0UtPKYY+Cuu+DVV93DPBHmz3cjlW68EU45BWbOhN69kyu0jESbdHZGsfUEa8LY40kwUmlenutSDWeOq5cAACAASURBVEArOmkccIBzig8c6LqNvv0W3ngjWJPUCgvdg//xx928iX33dV3a/fu7EY/hCbZCNGzojEeaB8Gkh9tvd907N93kHLynnBJbOVVnREJp+F580aXdjHNodTqI9mebBaxQ1bHhC7DC22cYsZGf7+LIt28fV7G8PJfPuFatFOnyiSpVXIiZt96CH38MTrfRb7+51krjxu75Va+eG13522/OJ5CdHTkkR06OCzl1111+/4IUkZXlrGPHjm4SWCwjjFaudOEt+vVz5aZNg4suCqQhgOjG4HGgQYTt9YFHSysoIvuJSK6IzBKRH0TkGm/7XiLyhYj87H3WS0y6kVEUFLi+0uLx10th82ZXrLx0EUXi7LNdQEo/u41UYcwYN8y9RQvXGjjlFNdFl5/vnn3FB7nk5DgneFGR+3z1Vbj4Ypdv+s0306s/bdSo4Sx2lSpulvCaNSUf+8kn7sXn/fdh2DDIzYX9S0sZ7z/RjEELVc0rvlFVxwEdopTdDtygqm2AI4ArRaQNcAvwlaoeBHzlrRvlma1bXUd5nF1EEya4EXh+B6dLNaFuowEDXLfRMcdEDpOdbDZvduH8O3WCXr3c6MZbbnEP99dfj8/XL+ISA3Xr5l5+p05NlWqfadrUZUmbN89lO9q+fdf9f/wB//yns6YNGri5NTfdlBGJtaMZg9Ia56W+4qnqElWd7H3fAMwGGuP8EC97h70MnBmbVCNjmTbNPdUT8BeIuLDV5Z3wbqPZs90DOlXdRr//7rrA99sPLr10Z1y0hQvLls+5ShX3nNxrLzjjDDdeoFxy1FHO8n3xhQt9HZp916iRs+zPPuscxd9/n1H5lUVLGSolIh8BT6rqx8W2nwxcraonx3QRkeZAHtAOWKCqdb3tAqwJrRcr0x/oD5Cdnd1l9OjRsVwqrRQWFlIzIMPC4iHduhu/8w4HPfYY4//7X7Y0bBizroEDO7B6dWVeeGFiOmSWiWTW6eLFVbn77rb89FMtzjlnIf37/0qlSokNaQzXNXt2Lf73vyaMGZNNUZHQrdsqzjlnEZ06rU1qN/acOTW5+urOtGq1gYcemhaz9qD+P5Wkq/3AgdSfuOu9qcD8nBzmXXZZmtSVTq9evSapateYDlbVEhfcLOOfgJeAAd7ysretZWllw85RE5gEnOWtry22f020c7Rs2VKDSG5urt8SEiLtus8/X7VRI9WiolIPC9e1datqjRqqV12VYm1JItl1unmz6oABqqB6+OGq8+Yldp4vvhijr7+uesQR7ly1aqlee63q3LlJlbsbr7/urnfZZVH/7H8S1P+nEnU1bep+ZPGlWbN0yisVYKLG8JxW1ajJbX4G2gNjgebeMhbooKo/RTM0IlIJ+B8wSlXf9jYvE5FG3v5GQHltTBohCgpcF1Ecr5+TJ7vu1/LuLyiJSN1G78cxs2flSpcgq2/fI+jb160/9hgsXuz8EgcemDrtAP/3f3Dbba776cknU3st31i4MPL2DJ19F3VEsKpuUdUXVfUG4F5gDdA2WjmvC+gFYLaqPhy2632gn/e9HxCAAXVGyli1Cn7+OSF/AbjQDXsyZ5+9c5LaGWfADTeUPtpoxgy47DLnDxg0CJo1+4MPP3SzngcMSO8Q3XvuCW42yaTQtITAzSVtDzjRAtV9KCLtvO+NgJnAJcCrInJtlHN3By4AjhWRqd5yCnA/cIKI/Awc760b5ZUJE9xnAsagVSs3kWlP58AD3Wijq65yKTaPOcaFtgj5LZs1c0biuOOgQwc3L+DCC90k1wcfnM6pp/ozESyo2SSTRqSE2NWru+0ZSLQZyPur6kzv+8XAF6p6oYjUwoWwHl5SQVX9BiipX+C4uJUamUlBgXsqdI3NhwUuwdS4cW7knuGoUsWN/+/RAy64YOeEbnC9Eg8/7CaI3X+/i322115u35gxvsj9kyBlk0w6odyngwa5P0LTps4QFM+JmiFEe1/YFvb9OOBj+HOoaFGqRBnliIICF9Qmjv6JGTNg3bryPdksUc45Z+eDvji1armoyCXt94sgZJNMGcVn32WoIYDoxmChiAwQkb8ChwCfAohINaLMMzCMPyOVJugvMGMQmZJC65fkzwwC4dkk77jDbzVGJKIZg0txzuKLgD6qutbbfgTwYgp1GeWBn392U/bjNAZjx7qZ+2lM/5pRZKrfMpRN8r773AxnI1hEG1q6XFX/oapnqOrnYdtzVfXB1MszMppQx3YccQ1UXcvAWgUlk6l+y1A2yaOPdil/J03yW5ERTnkMNmsEhfx8l7ijdeuYi/z4oxsTb8agZCJFDR0xIjO6qytXdgl+GjZ0Q2WXLvVbkRHCjIGROgoK4NBD4wrSZf6C2Mhkv2V2ththtGaNi5S6ZYvfigyIPs+gr4jUT5cYoxyxaZMLUBdnmsuxY10ilVTPkDX8pWNHeOUV13j8xz/Klk3SSA7R5hk0Bd70wkp8BXwCTPBiXhhGyUyZ4sL7xuE8DvcXBDT/h5FEzj4bBg92S4cOLsGP4R/RHMjDVPVY4BRgGm728WQR+Y+IXCgiNj/UiEx+vvuMwxgsWVKVxYuti2hP4o47nFG48UaYMMHyXPlJTD4DVd2gqu+o6uWq2hkYAmQDr6RUnZG5FBS4sY777BNzkWnTXCTzPTU43Z5IVha8/LJLCubCdvutaM8lIQeyqs5S1YdU9cRkCzLKCQUFcfsLpk+vQ4MGcQ0+MsoBoWySFSsWcfrpsHZt9DJG8rHRREbyWbrU5W2Mc7LZ9Ol1Ofpo8xfsiTRrBnfd9QO//OJyLperkBUZghkDI/mEJpvFYQwWLYLff69mXUR7MB07ruPJJ+HTT10uZiO9lDqaSESqA9tUdZu33grnTJ4flqzGMHaloAAqVoRDDom5iM0vMMCFq5g+HR580I0wuuACvxXtOURrGXyKy26GiLQAxgMHAFeKyH2plWZkLAUFbiB5tWoxF8nLgxo1ttOhQwp1GRnBI49Ar14uFHd4qG4jtUQzBvW81JfgspK9rqoDgJOB3ilVZmQmO3bA998nFKm0Xbt18UxWNsoplSq5kNf77utmKC9e7LeiPYNoxiB8ctmxwBcAqroVy2dgRGL2bNiwIS5jsHy5K9axow0jMRz167uczxs2OIOwaZPfiso/0YzBdBF5UESuA1oAnwOISN2UKzMykwScx+PGuc+OHdelQJCRqbRrB6NGwcSJrsvI4h6klmjG4O/ASpzf4C+qutHb3gYoNYS1iIwUkeUiMjNs22ARWVwsJ7JRnigocPkXDzoo5iJ5eS4Ec8uWG1IozMhETj8dhgxxRuHf//ZbTfkmWmyimsAHqvpDse3r8LKelcJLwBPsPkv5EcuFUI7Jz3cJb+PIwD52LBx5JFSsaK9+xu7ceqsbYXTLLS6D6qmn+q2ofBLtP/ZxIFLU0r2AR0srqKp5wOoEdRmZSGEh/PBDXF1Ea9a4f3QbUmqUhAiMHOkC2fXt6/xLRvKJ1jJo4T3Ud0FVx4nI0wle8yoRuRCYCNygqmsiHSQi/YH+ANnZ2YwZMybBy6WOwsLCQOqKRqp01506lU5FRUyvXp3VMZ5//Pj6qLanVq0pGVufENx7Iai6IhFN6803V+Ef/+jCCSds56mnJlO79vZA6Co3qGqJCzAnkX1hxzQHZoatNwQq4FokQ4GR0c6hqrRs2VKDSG5urt8SEiJluu+/XxVUV66MucjAgaqVK6tu3Ji59akaXO1B1RWJWLR+9527X44/XnXbttRrUs2sOiwOMFFjeMaqatRuormRnLwicjLwawKGZ5mq7lDVIuA54LB4z2EEmPx8aNHCjQuMkbFjXa9SHPPTjD2Ybt3gmWfgyy+hd29o3ty5p5o3d05mI3GidRNdC3wkIucCofTVXYFuJDDpTEQaqeoSb/WvwMzSjjcyCFU3kujYY2MuUljokqJbHBojHi6+GEaPdjGMQsyf70JZQGalAA0S0ZLb/Ay0B8biunyae987qGqpkcdF5HVc+IpWIrJIRC4FHhCRGSIyHegFXFfmX2AEg0WLYMmSuMJWjx/vJiyb89iIl1mzdt+2cSMMGpR+LeWFaC0DVHUL8GL4NhHJEpEcVS2xYaaqfSNsfiF+iUZGkMBks7FjoUIFN6zUMOJh4cLI2xcsSK+O8kSpLQMRqS0it4rIEyJygjiuwvkLzk2PRCMjyM+HKlVcgLoYycuDLl2gZs0U6jLKJU2bxrfdiE40B/KrQCtgBm42ci7wN+BMVT0jxdqMTKKgwA0Er1w5psM3b3ZFrIvISIShQ92s9XCysuDuu/3RUx6IZgwOUNWLVPVZoC8uDMWJqjo19dKMjGHbNucJjsNfUFAAW7davmMjMXJyYMQIlyFNxA1gKypyrU2LYZQY0YzBttAXVd0BLFLVzamVZGQcM2a4sJJx+Avy8tw/cffuKdRllGtycmDePGcEVq6EO+6AF16ABx7wW1lmEs2B3FFE1nvfBajmrQugqlo7peqMzCAB53FenstkVa9eijQZexx33QVz57qhygccAH/7m9+KMotSjYGqWqoRIzoFBZCd7Wb+xMC2bfDdd3DppamVZexZhGIYLVgAF14I++0XV8/lHk/soSUNoyQKCtx/nUhMh0+a5MaEm7/ASDZVq8I777gsaWec4bqRjNgwY2CUjTVr4Mcf4+4iAjj66BRpMvZosrPho4/cAIVTT4W1lkAvJswYGGXj++/dZ5zG4OCDYe+9U6TJ2OM5+GB4+2346SfnO9i2LXqZPR0zBkbZKChw3UOHHhrT4Tt2uDSX1kVkpJpeveC551xQuyuvtCGn0YgajsIwSqWgAFq3hjp1Yjp8+nRYv94mmxnp4aKL3AijoUNdJtaBA/1WFFysZWAkjqoLQ5GAv8CMgZEu7r4b+vSBm26C//3PbzXBxYyBkTi//gqrVsVtDA44AJo0SaEuwwgjKwteesnlQjj/fJgwwW9FyWPUqOTldDBjYCROaLJZjIO5VZ0xsFaBkW6qVoX33oNGjeD0013+g0xn1CiXw2H+fPe/FcrpkKhBMGNgJE5+vosW1rZtTIfPnu3CBpgxMPwgNOR082Y35HTdOr8VlY1Bg9x8nXDKktPBjIGROAUF0LUrVIxtHIL5Cwy/ad3aDTmdMwfOPTezh5yWlLsh0ZwOZgyMxNiyBaZOjTuZTePGzmdgGH5x7LHw7LPw+ecwYEBmDjkdN875CSKRaE4HMwZGYkyd6qZ4JuAviDFqhWGkjEsucQHtnn0WHn7YbzWxs2WLGxXVo4cL212lyq77q1d3w2gTIWXGQERGishyEZkZtm0vEflCRH72Pi1mZaaSn+8+Y2wZ/Por/P67dREZwWHoUDc7eeBAePddv9VEZ+pU1yv77387R/Evv7iQ3aGcDs2auRwPOTmJnT+VLYOXgJOKbbsF+EpVDwK+8taNTKSgwPX5NG4c0+Ehf4HNPDaCQlYWvPyye5857zyYONFvRZHZsQPuuw8OO8wNwPj4Y3jmGZcuNjynw7x5iRsCSKExUNU8YHWxzWcAL3vfXwbOTNX1jRRTUBC3v6BBAxczxjCCQrVqbshpw4Zw2mmJO19Txdy5rjV9221w5pkwcyacfHJqrpVun0FDVV3ifV8KNEzz9Y1ksGKF6/eJI1i8+QuMoLL33m7I6aZNbsjp+vXRy6QaVff237EjzJrl5g688YbzE6QK0RS60kWkOfChqrbz1teqat2w/WtUNaLfQET6A/0BsrOzu4wePTplOhOlsLCQmjVr+i0jbsqqu/748bS/7TamDB/Ouo4dox6/fHkV+vTpxpVX/sw55yxOmS4/Car2oOqKhN9aJ02qx803t6dLlzXce+9MKlRQX3StXFmZf/+7FRMm1Kdr19XcdNMcsrO3JHSuXr16TVLVrjEdrKopW4DmwMyw9TlAI+97I2BOLOdp2bKlBpHc3Fy/JSREmXS/9ppqnTqqoLrffm49hiKgOmVKCnX5TFC1B1VXJIKg9bnn3L36z3+qFhW5benU9cYbqnvtpVqtmuoTT+zUkCjARI3xeZ3ubqL3gX7e937Ae2m+vlEWQvPfQ1M3Fy6Maf57Xp4Latq+fRo0GkYZuOwyN3Tz6adh+PD0XXf1aufE7tPHRVedOtWF3U5nt2oqh5a+DowHWonIIhG5FLgfOEFEfgaO99aNTCHB+e95eXDUUVDBMmobGcB998HZZ8MNNzjncqr5/HP3ovTmm3DPPfDNN9CyZeqvW5xUjibqq6qNVLWSqjZR1RdUdZWqHqeqB6nq8apafLSREWQSmP++bJnLimlDSo1MISsLXnnF5Ws67zyYMyc1/oI//nBv/yeeCHXrugF6t98ec3SXpGMzkI3Y2XffyNtLmf8+bpz7tMlmRiZRvbprFWRnw6BB7Vm4MLnnz8+Hzp1dd9T118OkSXDIIcm9RryYMTBiQ9VNFChOlPnveXlQo4b/N7phxMs++4SinFagd2/YsKHs59y6Fe64A7p3d6Elvv4aHnrIhdj2GzMGRmy89hpMm+ayg8Qx/z0vD448EipVSqNWw0gSbdvC4ME/8MMPzrm7fXvi5/rhBzc1Z8gQuPBClwK2Z8+kSS0zZgyM6CxdCtdc457qL70U8/z3NWvcDW9dREYm07XrGp56Cj75BK69Nv4op0VF7u2/SxdYtAjeeQdefDHmtOFpwydXhZExqMIVV7hRQy+8ENeQoG++ccXNGBiZTv/+8PPP8OCDbujnNdfEVm7ePLjoIheO5YwzXEN6771TqTRxzBgYpfPmm+5VZtiwuAML5eW5ELuHHZYibYaRRoYNc5FCr7vO5eQ47bSSj1V1jeiQ0XjxRejXL9jhWKybyCiZFSvc2LdDD3VDHuJk7FgXyy4IzjHDKCtZWc511qUL9O0LU6ZEPm7ZMhdU7pJL3MCJ6dNd6yDIhgDMGBilcfXVbrbxyJFxD37esAEmT7YuIqN8Ub06vP8+7LUX9O7tfADhvPuum0D22WfOT/D119C8uS9S48a6iYzIvPsu/Pe/cPfd0K5d3MXHj3dx2M0YGOWNRo3ckNPu3d2i6oxC9epuIlnnzvDqq24kUiZhLQNjd1avhn/+08XPvSWx/EN5ea4xceSRSdZmGAGgfXv3L7JggQvRpeoMQaVKzk+QaYYAzBgYkbj+eucvePHFhCcIjB3r+lZr1EiyNsMICG+8sfu2bdvgzjvTryUZWDeRsSuffOJyAQ4a5Nq7CbBpE0yYEPvwO8NIB9u2bWPRokVs3rw5rnJ16tRh9uzZu21/5pmSy0Q4PKVUrVqVJk2aUKkMszvNGBg7WbfODahu08bNmU+QCRPctHsLTmcEiUWLFlGrVi2aN2+OxDG0Z8OGDdSqVWu37du2ufu8OJUrQ+vWZVEaH6rKqlWrWLRoEfvvv3/C57FuImMnN90Ev//uRg9VqZLwacaOdcPoundPojbDKCObN2+mfv36cRmC0mjc2A03DScry21PJyJC/fr1427xFMdaBobjq6/c9Mgbb4wr0X0k8vKc77lu3ejHGkY6SZYhgJ35iBcvdi2EypWdIUhlnuKSSMbvMmNgQGGhS/F00EFuKGkZ2LoVvvsO/v73JGkzjABTv74/D/9UYN1EBtx6K8yf77qHqlUr06kmT3YOZPMXGBnPqFHQvDk169RxM8eipHeNhQoVKtCpUyfatWvHaaedxtq1a//c99NPP3HKKadw0EEHccghh3DuueeybNkyNm7cSE5ODu3bt6ddu3YcddRRFBYWlllLcaxlsKczbhw88YSbbXzUUWU+3dix7vPoo8t8KsPwj1C+740bEXAvS/37u32lROqNRrVq1Zg6dSoA/fr148knn2TQoEFs3ryZU089lYcffpjTvKBHY8aMYcWKFYwcOZKGDRsyY8YMAObMmVOmUUMl4YsxEJF5wAZgB7BdVbv6oWOPZ+NGF0Bl//3h3nuTcsq8PDeSIjs7KaczjNRw7bUu63xJ5Oe77DPhbNwIl14Kzz0XuUynTjB8eMwSunXrxvTp0wH4z3/+Q7du3f40BAA9vWQHI0aMoFmzZn9ub9WqVczXiAc/u4l6qWonMwQ+8q9/wdy58PzzSZkdtmOHC1ttXURGxlPcEETbHic7duzgq6++4vTTTwdg5syZdOnSJeKxl1xyCcOGDaNbt27cfvvt/Pzzz0nRUBzrJtpTyc+HRx6Byy+HY49NyimnTYP16y0ekZEBRHuDb97cdQ0Vp1kzGDMm4ctu2rSJTp06sXjxYlq3bs0JJ5wQtUynTp349ddf+fzzz/nyyy859NBDGT9+PK2TPJnBr5aBAp+LyCQR6e+Thj2WrK1bXfdQ48bwwANJO29envs0f4GR8Qwd6iLPhRMl33cshHwG8+fPR1V58sknAWjbti2TJk0qsVzNmjU566yzeOqppzj//PP5+OOPy6QjEqLx5nBLxkVFGqvqYhHZG/gCGKCqecWO6Q/0B8jOzu4yevTotOuMRmFhITVr1vRbRtw0fuopDnrzTaYPG8bqJGae+de/2vLLLzUZNaogofKZWp8QXO1B1RWJVGutU6cOLVq0iPn4iqNHU+Wuu5BFi9AmTdhy551sP/fcMmlo1KgRS5YsAWDatGmcd955TJs2jW3btnHEEUcwbNgwTjrpJAC+/fZb6tWrx/r162nVqhX16tVj69atnHXWWVx22WWceeaZu5x77ty5rFu3bpdtvXr1mhRzV7yq+roAg4EbSzumZcuWGkRyc3P9lhA/kyZpUVaW6kUXJfW0O3ao1q+vevHFiZ8jI+vTI6jag6orEqnWOmvWrITKrV+/PmkaatSosct679699ZVXXlFV1dmzZ+uJJ56oLVq00NatW2ufPn106dKl+vLLL2v79u21Xbt22qZNGx04cKAWFRXtdu5Ivw+YqDE+i9PuMxCRGkCWqm7wvv8FKNtMJyM2tm6Fiy9ma716VHn44aSeevZsWLXK/AWGURrF5wd88MEHf34/+OCD+fTTT3crc+GFF3LhhRemXJsfPoOGwDciMg2YAHykqrvXgJF87r8fpk/np+uug3r1knrqkL/AjIFhZCZpbxmo6q9Ax3Rfd49nxgwYMgT69mVVCiLI5eVBkyZuyoJhGJmHhaPYE9i+HS6+2EWOe+yxpJ9e1c08PuaY4Cf9NgwjMjbPYE/goYdg0iQYPRoaNEj66X/5BZYssS4iw8hkrGVQ3vnxR5eH76yz4JxzUnKJkL/AZh4bRuZixqA8s2OHm1xWowY8+WTK+nDGjnWxiFIUMsUwjDRgxqA889hjMH48PPoo7LNPyi6Tl2f+AqP84UWwpk6dmsmKYM3QoUNp27YtHTp0oFOnThQUFLBt2zZuueWWP0NXd+vWjU8++QSA5s2b0759ezp06ECPHj2YHylERpIwn0F5Ze5cl9S+d+8yhdyNxoIFMG8eXHddyi5hGGknLII1IEmJYD1+/Hg+/PBDJk+eTJUqVVi5ciVbt27ljjvuYMmSJcycOZMqVaqwbNkyxoZiwQO5ubk0aNCAO++8kyFDhvBcSVFTy4gZg/JIUZHLXFapEjzzTEpf2ceNc5/mLzAyCT8iWC9ZsoQGDRpQxcsv3qBBAzZu3Mhzzz3Hb7/99uf2hg0bcm6EsBfdunXjsRSMBgxh3UTlkWeecR35Dz+c8uzcY8e6Eavt2qX0MoaRVlIRwfovf/kLCxcupGXLllxxxRWMHTuWuXPn0rRpU2rXrh21/KeffrpbPKJkYi2D8sa8eXDTTXDCCc55nGLy8lyCtAoVUn4pw0gafkSwrlmzJpMmTWLcuHHk5ubSp08fbrvttqjlevXqxerVq6lZsyb33HNPYhePAWsZlCdUXcemiGvLptiju2wZzJljXURG+SNFEaypUKECPXv25K677uKJJ57ggw8+YMGCBaxfv77EMrm5ucyfP59OnTpx5513lk1AKZgxKE+MHAlffOFyFISlyUsVFo/IKK/k5MCIEe7fSERp1sytl2Usxpw5c3bJUjZ16lRatWrFpZdeyjXXXMPWrVsBWLFiBW+++eYuZStWrMjw4cN55ZVXWL16deIiSsGMQXlh8WK4/nr3mn755Wm5ZF6em8LQuXNaLmcYaSUnx/W6rltXyLx5ZR+UV1hYSL9+/WjTpg0dOnRg1qxZDB48mCFDhpCdnU2bNm1o164dvXv3juhDaNSoEX379v0zIU6yMZ9BeUDVGYBt21w+46z02Pi8POje3Q1aMgyjdLp06cJ3330Xcd8DDzzAAxGyDs6bN2+X9ccffzwV0gBrGZQPRo2Cjz6Ce++FODI5lYXVq10gVOsiMozygRmDTGfpUrj6aujWDQYMSNtlv/nGNUjMGBhG+cCMQSajCldc4WbDjByZ1vGdeXlQpQocemjaLmkYZUZ9yPmeDpLxu8wYZDJvvQXvvAN33QUHH5zWS+flwRFHQNWqab2sYSRM1apVWbVqVbkzCKrKqlWrqFrGf0ZzIGcqK1bAlVdC165www1pvfSGDTB5MsQwX8YwAkOTJk1YtGgRK1asiKvc5s2by/ygTTVVq1alSZMmZTqHGYNM5ZprYO1a+OorqJjeP+N337no2OYvMDKJSpUqsX8CeVnHjBlD5z1g/LQv3UQicpKIzBGRuSJyix8aMpFRV3xD84qLyJIimr9+L6M6DoP27dOrYRSEYmhdcklywvoahuE/aTcGIlIBeBI4GWgD9BWRNunWkWmMuuIb+j/dmfk7mqBkMZ/m9J/Yn1FXfJM+DV5Y39DM+YUL3boZBMPIfPzoJjoMmKuqvwKIyH+BM4BZPmjJGAaNaM5GauyybSM1uPjpw7l/XHzn+uOPrtSoEf244syZ4+a17aJho0ubkMKUCYZhpAE/jEFjYGHY+iLg8OIHiUh/wEsnwRYRmZkGbfHSAFiZnkt16RJp6zZg5sxJk+I8WYK6I2uYPx9E4tYQiTTWZ9IJqvag6opEULUGVVcsxJyMNrAOZFUdAYwAEJGJqtrVZ0m7EVRdAK7DKwAAD5lJREFU0Qiq7qDqioWgag+qrkgEVWtQdcWCiEyM9Vg/HMiLgf3C1pt42wzDMAyf8MMYfA8cJCL7i0hl4P+A933QYRiGYXikvZtIVbeLyFXAZ0AFYKSq/hCl2IjUK0uIoOqKRlB1B1VXLARVe1B1RSKoWoOqKxZi1i7lbWq2YRiGET8Wm8gwDMMwY2AYhmGYMTAMwzAwY2AYhmGQYcZARD7xW0N5QkR8GyUhIieFfa8jIi+IyHQR+Y+INPRLV1mw+zM5WD36Q+BmIIvIISXtAjqlU8suFxe5RFVHet+bAC8DXXAxlS5S1Z/80lYaIrJXSbuAU9KppRj3Ap963x8ClgCnAWcBzwJn+qSrVIJ6f0Jm3aNBrcdMqsNYEZEZqho1vHHghpaKyA5gLO6mKM4RqlotzZIAEJHJqnqI93008CXwPC7I3lWqepwfuqLh1ed8dq1P9dYbq2pln3SF1+dUVe0Utm+X9SAR1PsTMuseDWo9ZlIdhiMiZ5W0C3hGVbOjnSNwLQNgNnC5qv5cfIeILIxwvB+0VFUvqj/viMi/fFVTOr8Cx6nqguI7fK7PvUXketzNWltERHe+mQS5+zIT7k8I/j2aCfUY9DoM5w1gFO5FrzgxpWkLojEYTMkPgwFp1FGcJiLyGO7hlS0ilVQ1FNC5ko+6ojEcqAfsZgyAB9KsJZzngFre95dxkSFXiMg+wFTfVEVnMMG8PyGz7tHBBLMeM6kOw5kOPKiqu0V3FpHjYzlB4LqJgoqI9Cu26X1VXeM9vK5WVcsIbPiK3aNlJ1PrUESOBuaX0APQVVWjRi8NpDEQkRNxDsTG3qbFwHuq+mnJpYySEJGDcX2e4fX5vqrO9k9VyYjIxar6ot86SsLuz+Rg9RgsAmcMRGQ40BJ4BZf4BlyY6wuBn1X1Gr+0lYSI/EtV7/ZbRyRE5GagL/Bfdq3P/wP+q6r3+6WtJERkgao29VtHJDLx/oTg3aOZWI9Bq8NwRKQicCnwV2Bfb/Ni4D3ghbCurpLPEUBj8JOqtoywXYCfVPUgH2SVSsAfXj8BbYvfDF748B/8qk8RmV7SLpzjrko69cRKJt6fELx7NBPrMWh1GI6IvA6sxfnfwo1rP2AvVe0T7RxBdCBvFpFDVfX7YtsPBTb7IQhARNaXtAvwbThhDBTh3hTmF9veyNvnFw2BE4E1xbYL8F365cRMIO9PyLh7NJD1mGF1GE6XCMZ1EZDvvRBGJYjG4CLgaRGpxU4Ltx+wztvnF2uBQ1V1WfEdARoKF4lrga9E5Gd25p5uCrQArvJNFXwI1FTV3UYOiciY9MuJmYsI5v0JmXWPXkQw6zGT6jCc1SLyN+B/qloEICJZwN/Y/YUrIoEzBqo6GTjc897/6VhS1aU+ygLXt9kM2O0mAf6TZi0xo6qfikhL4DB2ddR9r6o7fNR1aSn7zkunlngI8P0JGXSPBrgeM6YOi/F/wDDgKREJPfzrAV97+6ISOJ9BJERksKoO9ltHeUFE+qtq4LI3BVVXNOz+TA5Wj8lBROoDqOqqeMoFeaZnOKf7LSASIjLYbw0J8g+/BZRAUHVFI5D3J2TcPRrIesywOkRVV6nqqngDUWaKMYgUvyQIBPLmjYGg1mdQdUUjyLoz6R4Naj1mUh2G0zWegzPFGHTxW0AJBPXmjcZpfgsogaDqikZQ70/IrHs0qPWYSXUYzvJ4Dg6cz0BEHsZ5xL/1W0s0RCQr5LkPKl4I66uA34EXgNuAbrhAYfeqakwjDfYUXbEgIr2As3GjX3YAPwHPq+pcX4VFIKj3aDImSaWLoNZhsgmiMViBGxOfjYvE97qqTvFXVWYZqXBE5GNgBlAbaO19Hw2cAHRU1TNMV+yIyH3APsBXuFAKv+GMwRU4I/amj/IyxlAlY5JUinRljJGKFREZoar9ox4XQGMwRVU7e8Mh++CGRVUAXscZBl+SSwTVSEUjlBvAm9m5SFUbF99numJHwhKFeA+OsaraXUTqAeNUtZ2P2gJtqMIpaQZytH2pJqhGKhpSehKraaraJNo5AjfPAC8et/fQvwe4R0Q64OLrfIybLOUHi1S1a5iRek1EfDdSMZDlPahqATVFpLmqzvOGn/mS2CbguqJRJCJ7qepq3JtjBQAvsqXffcu9wwzVf3GGaqCIvAWMAwJjDEjCJKkUUeaZvD4RelmNlMRq71hOEERjsNs/lKpOx8XrvjX9cnbK8LQEzUhF4z7gR+/7JcDz3jOrNXCXX6IIrq5o3AtM8R4MrYB/AohINjDNT2EE21AVJ9IkqbpALjFOkkoRQTVS0ShzEqsgdhPVVNVCv3UUJ9R95beORPBaMKKq272ujU642Z5LTFf8eE3yA4C5qrrWbz0hRKQPLmHRn4ZKVT/yDNWjQZ3ZnegkqRRpaY4zUsey8+EfMlK3qOpv/igrHRG5EvhGVXd7IRGRAar6eNRzBM0YAIhIHeAkdg2f8Jmf/3hBNVKxEMT6hODqikaQdQfVUMWDiJygql8EQEdgjFQ6CNw8AxG5EJgM9ASqe0svYJK3zxdUtVBE6ohIHxG53lv6iEhdvzTFQlDrM6i6opEBuncABwKXZMo9GoEX/BYAO2fyhtZF5AQ/9SRKrLoD1zIQkTnA4cXfajxnY4GPowwuBO4EPse9CYIbZXACcJeqvuKHrmgEuD4DqSsaQdadSfeoiLxf0i7gWFWtkU49sSABzmdQGrHqDqoDOZKFKsLfmYCDcCMNIj4EcNEOg0hQ6zOouqIRZN2ZdI8eDZwPFO96FVyEXV+IYqTqp1NLPCRDdxCNwVBgsoh8zq7x90/AjeLxiyA/BEojqPUZVF3RCLLuTLpH84GNqjq2+A6v9eUXgTRSMVBm3YHrJoI/32ROZHcHnW9Du0SkH/AvXBN8t4eAqr7kk7SoBLE+Ibi6ohFU3Zl8jwYFEfkEeEBVcyPsy1PVY3yQFZVk6A6kMSiOiPRW1Q8DoCOQD4F4CUp9FieouqIRJN2ZfI8GqR73RDLFGExW1UP81lGcTL15A1yfgdQVjSDrzqR7NKj1mEl1GE68ugM3tLQEgtbfGeJuvwUkSFDrM6i6ohFk3Zl0jwa1HjOpDsOJS3emGIPL/RZQAkG9eaMR1PoMqq5oBFl3Jt2jQa3HTKrDcOLSHThjICKVReRCETneWz8PuFBErhSRSj7LK05Qb94/CWp9BlVXNDJQdyDv0Qyrx0DWYQzEpTtwPgMRGYUb8lodF0q2JvA2cBxObz+fdFXGBdD6XVW/9G7eI3HJWEYENc55gOszkLqiEWTdmXSPBrUeM6kOw0mG7iAag+n/3969hGhVx2Ec/z6KSGhMaWWI4RB4idCCWghBGJUoCLroAkG2qSDIogtdVm5aKJFQWNQiSAoKM7BWuolaKNLFbnRx05VKk6bAIheOvxbnvHYYnTkzvW9znn/8PuDiPWdmeM7DT/6857zvORGxsr5x2Y/AwogYldS7L/fKjnJZDm8b4z4tc7Vxzl3SjLr2WFKHTYPI7filsxn1KjeH6sCGgBFgNtDl28cV4wzvK3R/6+KJuPbpmquNc+6SZtS1x5I6bOo7t+Ni8CLVfe5nUn29/nVJXwOrgNc6zOU6vG1c+3TN1cY5d0kz6tpjSR029Z3b7jQRgKSFABHxk6o7Lt4AfB8R73WY6QFgM9XwPgVsoHqgxCpgd0TYPpDFsU/nXG1cc5c2o449ltZhzyByWy4G41HHzxRwHN5+dN3neFxztXHI/X+Y0a57LLXDfnOXthhY3kK26+H9t4z7tMzVxjl3STPq2mNJHTZNNrfdNQNJD463i+oKuaMvqG4IZse1T9dcbUrNjdmMFtqjVYdTMKncdosB1QPHnwROnmVfZ1+SK3R4wbRPfHO1sc1d2Ixa9lhYh6cNIrfjYnAI2BMRH47dIenODvL0WA7vJLj26ZqrjXPukmbUtceSOmzqO7fdNQNJy4CRiDh2ln0LIuJoB7GQdADYPM7w/hARl3QQq5Vxn5a52jjnLmlGXXssqcOmQeS2WwxcuQ5vSj05o/0rtcNB5LZbDCQNAY8DG4GLqB7j9wvwJrA1xjzfNU3MtU/XXG1Kze0me/TjeA5sF/AbsDoi5kXEfOC6etuurkJJGpK0VdJXkkYk/Srpy3rbeV3lmgTLPo1ztbHNXdiMWvZYWIenDSK34zuDwxGxbKr7/muS9gFvAzsj4ki97WLgDuD6iFjTRa42xn1a5mrjnLukGXXtsaQOmwaR2/GdwXeSHpG0oLdB0gJJj/LPQ767MBwR23pFA0TEkYjYBizuMFcb1z5dc7Vxzl3SjLr2WFKHTX3ndlwMbgXmA+9K+k3SCPAOMA+4pcNcrsPbxrVP11xtnHOXNKOuPZbUYVPfue1OEwFIWg4sAg42v0YtaW1E7O0o0/nAY1Q3gFpAdcHrKPAWsC0iRrrINRmOfTrnauOau7QZdeyxtA57BpI7Iqz+AfcBh4E9wLfAhsa+Qx1nW05186e5Y7av7bq30vp0zVV67lJm1LnHUjocdO7OD+AsB/RZ72CAYeAD4P769Ucd5rId3kL7tMxVcu6SZtS1x5I6HHRux9tRzIj6LWNEfCtpNbBb0mKq+2x05S7gqoj4Q9JwnWk4Ip7uOFcb1z5dc7Vxzl3SjLr2WFKHTX3ndryAfFTSlb0X9cCsBy4AVnSWaszwAquBdZK24z0krn265mrjnLukGXXtsaQOm/rO7bgYbAKONDdExMmI2ARc200kwHd427j26ZqrjXPukmbUtceSOmzqO7flp4kcSVoEnIzG53gb+66JiP0dxErptJzR/pXa4SBy52KQUkrJ8jRRSimlaZaLQUoppVwMUhpL0qikjyV9LukTSQ9JmvD/iqRhSbdNV8aUBi0Xg5TO9FdEXBkRlwM3AuuALS2/MwzkYpCKlReQUxpD0h8RMbfx+lLgfaqP6S0GXgbm1LvvjYgDkg4ClwHfADuBZ4CtVJ/3ng08GxEvTNtBpDRFuRikNMbYxaDe9juwDDgOnIqIE5KWAK9GxNX1N2gfjoj19c/fDVwUEU9Img3sB26OiG+m9WBSmiTH21Gk5GwWsKP+gs8osHScn1sDrJR0U/16CFhC9c4hJTu5GKTUoj5NNEr1jN4tVLcGvoLqmtuJ8X4N2BwR+6YlZEp9ygvIKU1A0oXA88COqM6pDgE/R8Qp4HZgZv2jx4FzG7+6D7hH0qz67yyVNIeUTOU7g5TOdI6kj6lOCZ2kumC8vd73HPCGpE3AXuDPevunwKikT4CXgKepPmF0SJKAY8DG6TqAlKYqLyCnlFLK00QppZRyMUgppUQuBimllMjFIKWUErkYpJRSIheDlFJK5GKQUkoJ+BtUwdxKNBaqlwAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plot RCS and SCR time series\n", + "from coral.plot import plot_rcs_scr\n", + "\n", + "plot_rcs_scr(t, rcs, scr, start, end, 'SERF')" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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1Vy2x5o41VyWx5o01Vy1jx46d5e47pH6Bu5e9AV8CXgcWJPefAq4FngS+Uel19d6AW4GxRY+fAQZWe83w4cM9RjNmzMg6QofFmj3WXLXEmjvWXJXEmjfWXLUAD3g7vp+rHcM4HfgY0A+YAwx199fMrDfwL2ByeypZO9wIjAVmmNlwwgH315q0LBERSalawXjP3d8A3jCzp939NQB3X2Jm7zUx02XAZWb2KPAecGxSCUVEJEPVCkYvM/sE4VyNtZP7ltx6NiuQu78H/Fez3l9ERDqmWsF4GbigzP3CYxERWYNU61Y7phNziIhI5Kqd6X1YtRe6+/WNjyMiIrGqtkvqwOTvhsAngTuSx2OBewAVDBGRNUi1XVLHA5jZdGBLd38pefxh4PJOSSciItFIM/LsJoVikXgFGNKkPCIiEqlqu6QKbjezacA1yeOjgNuaF0lERGJUs2C4+ylmdijwqWTSxe5+Q3NjiYhIbKr1krLCGdZJgVitSBQ/R0REurZqxzBmJFe+a3O8wszWNrM9zewK4NjmxhMRkVhU2yX1aeALwDVmtinwJtCLUGSmAz/1Ooc5FxGR/KjWrXYpcBFwkZn1ADYA3vWSq++JiMiaIU0vKdz9feClmk8UEZEuK815GCIiIioYIiKSTtWCYWbdzWxGZ4UREZF4VS0Y7r4cWGFm/Tspj4iIRCrNQe9W4N9m9jfgncJEd/9K01KJiEh00hSM69FQ5iIia7w0Y0ldYWa9gCHu/mQnZBIRkQjV7CVlZgcCs4Fbk8cjzezmZgcTEZG4pOlWOwnYiTA0CO4+G/hoEzOJiEiE0hSM9939rZJpK5oRBlZuwdxnZrPN7AEz26lZyxIRkfTSFIzHzOwYoLuZbWZmvyBc07tZzgO+6+4jgW8nj0VEJGNpCsapwFbAMuBq4C3gtCZmcuBDyf3+wItNXJaIiKSUplvtZ9x9IjCxMMHMjgD+0KRMpwPTzOxHhIL2ySYtR0RE2sFqXTDPzB509+1rTWvXQs1uAzYqM2sisBdwp7v/0cyOBFrcfe8y79ECtAAMHDhw1NSpUzsap2laW1vp27dv1jE6JNbsseaqJdbcseaqJNa8seaqZezYsbPcfYe0z69YMMxsP2B/4Ejg90WzPgRs6e5NORhtZm8B67q7m5kBb7n7h6q9ZsSIEf7kk/GdIjJz5kzGjBmTdYwOiTV7rLlqiTV3rLkqiTVvrLlqMbN2FYxqxzBeBB4AlgKzim43A+PqCVnDi8Aeyf09gblNXJaIiKRU7Yp7DwMPm9kgd7+ieJ6ZnQb8rEmZvgT8zMzWIhSrliYtR0RE2iFNL6mjy0w7rsE5VnL3u919lLtv5+47u/usZi1LRETSq7iFYWafA44BNi0ZCqQf8Hqzg4mISFyqdau9h3Ad7w2AHxdNfxt4pJmhREQkPtWOYcwH5gOjOy+OiIjEquaJe2b2NuHsa4C1gR7AO7W6uoqISNeS5noY/Qr3k/MiDgZ2aWYoERGJT5peUit5cCPNPQ9DREQilGaX1GFFD7sBOxDOjxARkTVImsEHDyy6/wEwj7BbSkRE1iBpjmEc3xlBREQkbtVO3PsFq3pHrcbdv9KURCIiEqVqWxgPdFoKERGJXrWC8Xugn7svKp5oZgMJZ3uLiMgapFq32p8Du5eZvhvwk+bEERGRWFUrGKPc/frSie5+A/Cp5kUSEZEYVSsYvTv4OhER6YKqffG/amarXYbVzHYEFpV5voiIdGHVDnp/HZhqZpcTLs0K4SzvCZS/qJKIiHRhFbcw3P1+YCfACFfYOy65v7O7/7MzwomISDyqnunt7q8C3+mkLCIiEjEdvBYRkVRUMEREJJXUBcPMqnWzFRGRLq5mwTCzT5rZ48ATyePtzOyiehZqZkeY2WNmtsLMdiiZd5aZPW1mT5qZLtQkIhKJNFsYPyFcYW8xgLs/TP1nej8KHAbcVTzRzLYkdNndCvg0cJGZda9zWSIi0gCpdkm5+/Mlk5bXs1B3n+PuT5aZdTBwrbsvc/fngKcJXXtFRCRjaQrG82b2ScDNrIeZfQ2Y06Q8HwGKi9PCZJqIiGQszSVaTwJ+RvjifgGYDpxc60VmdhuwUZlZE939pvaErPD+LUALwMCBA5k5c2a9b9lwra2tUeZKI9bsseaqJdbcseaqJNa8seZqOHfP7AbMBHYoenwWcFbR42nA6FrvM3z4cI/RjBkzso7QYbFmjzVXLbHmjjVXJbHmjTVXLcAD3o7v7JpbGGb28zKT30oWVPeWQombgavN7AJgY2Az4P4GL0NERDogzTGMnsBIYG5y2xYYDJxgZj/tyELN7FAzWwiMBv5iZtMA3P0xYCrwOHArcLK713WAXUREGiPNMYxtgV0LX9xm9ivg74Qr7/27Iwv1cBGmGyrMOxs4uyPvKyIizZNmC2M9oG/R4z7A+kkBWdaUVCIiEp00WxjnAbPNbCZhePNPAeeYWR/gtiZmExGRiNQsGO7+WzO7hVUn0H3T3V9M7n+9aclERCQqaQcfXAq8BLwBfNzM6h0aREREciZNt9ovAqcRekbNBnYB7gX2bG40ERGJSZotjNOAHYH57j4W+ATwZlNTiYjUacoUGDYMunULf6dMyTpR/qU56L3U3ZeaGWa2jrs/YWYjmp5MRKSDpkyBlhZYsiQ8nj8/PAYYPz67XHmXpmAsNLN1gRuBv5nZG8D85sYSEem4iRNXFYuCJUvgxBPhuefg4x+HzTYLf/v3zyZjHqXpJXVocneSmc0A+hPOwhYRidKCBeWnv/MOfOtbbadtsMGq4lFcSD7+cVhvveZnzZOqBSO5eNFj7r45gLvf2SmpRETqsN568Prrq08fOhQefxyefRbmzoWnnw63uXNh5kz4v/9r+/z1169cTAYMqJ1jypSwtbNgAQwZAmef3fm7xBqZoWrBcPflyaVSh7h7hZotIhKPKVNCsejeHZYXjUTXu3f4suzdG7beOtxKvftuKCbFheTpp+Huu+HqqyEMoh2st96q4tGjxzCef35VURkwIDw/6+MojT6Wk+YYxnrAY2Z2P/BOYaK7H9T+xYmINM+NN8Kxx8LYsfD5z8N3v9u+X9a9esFWW4VbqWXLyheT++6D+fOHcuWVq57bv38oPu+91/Y9liyBk08Or/vgg1W35cvbPi43rSPPWbCgbdEsZJg4sXkF41u1nyIikq2//Q2OOgp22AFuugn69YPjj2/c+6+zDmyxRbitvuy7GDJkjzbF5Je/LP8+b70FkyaF7r5rrRVu3buvul/ucaXnrL122GKq9JrSXWwFlY7x1JLmoPedZjYU2MzdbzOz3kD3ji1ORKTx7r4bDjkENt8c/vrXUCw6U48ezogRMKLohIM//znsAio1ZEjoqdUt7TgbdbjrrsoZOqJmZDP7EnAd8Jtk0kcIXWxFRDL34IPwmc/A4MEwfXo8PZsKx0uK9e4N55zTOcWiWoazO3gBiTSxTwZ2Bf4D4O5zgQ07tjiR5tMZvmtOGzz+OOy7bygSt90GgwZlnWiV8ePh4otDzyyz8Pfiizu3l1SjM6QpGMvcfeWhGzNbC/AqzxfJTKFXyPz5oUfL/PnwpS/BVVd1boYsv6zLtUFLS9crGs8+C/vsAz16hGKxySZZJ1rd+PEwbx6sWBH+ZnGWeSMzpDnofaeZfRPoZWb7AP8N/KnjixRpnnJn+L77bugx09ICffqsuvXuXd/j4mk9e4ZfcJW6Mf7P/2zImDHlM7uHHi3vvx9u771X+361eWecUf4s5472jInRCy/AXnvB0qVw552hO6s0X5qCcSZwAuFyrCcCtwCXNjOUdEwMJwllrdwBvoKTTw5n+hZuS5aEv6+80vbxO++EL6L2MAuFY8mS8Euu2JIlcO65m3PVVZW//DtDR3vGxObVV2HvvWHxYrjjjvLnU0hzpCkYhwBXuvslzQ4jHafB1sK+2UqGDoXzz0//XsuXhy2TcgWm2uMLLqj0fsYee4TdJ2uvHf5Wu1/P80aPhoULV8/w4Q+n//yxam1di3Hjwvo9bVroQiudJ03BOBD4iZndBfweuNXdP2huLGmvSoOtdaXdENX85Cfw1a/CdtvBU0+FL/uCjvQK6d4d+vYNt/b44x/Lb+UMGrSMK67o2b4366Bzz23746HgtdfgyithwoROidFwra1w5pnb8NRT8Kc/we67Z51ozVPzoLe7Hw98HPgD8DngGTPTLqnIVNrd0FV2Q1TiDj/4QSgWhx8O998Pl1ySXc+USt0Yv/jFZzsnAOV7xvziF2HL49hjw/Gct9/utDgNsXRpOM9izpwPce21MG5c1onWTKl6A7v7+8BfgWuBWYTdVBKRSifi9OrV/v3xeeEOZ50VRh+dMAGuuSbsksmyZ0qlbox77/1q54Vg9TY45RS4/Xb43vfCGEfbbw+zZnVqpA57//1wBvftt8MZZzzBYYdlnWjNlebEvf3M7HJgLvBZwgHvjepZqJkdYWaPmdkKM9uhaPo+ZjbLzP6d/NVlYFMq98u2R4+wW2KvvWDRomxyNcuKFfCVr8DkyXDSSfC734WhEGIQQ1fKcrp3D8X1zjvDuEijR8PUqYNXO0gfk+XL4bjj4Oabw1Ab48a9knWkNVqaLYwJhDO7R7j7ce5+SwOOYTwKHAbcVTL9NeBAd98GOBaoMBKKlCr3y/Z3v4M//CGcCTt6NDz5ZNYpG2P5cjjhBLjwQvja1+CiizrvzNmuYLfdYPbscHb0r371cQ48MM4fFO7w5S+HLaJzz4X//u+sE0maYxifc/cb3X0ZgJntZmYVhtVKx93nuPtqX1/u/pC7v5g8fIxw7sc69SxrTVLul+3hh8OMGfCf/4SicVdpic6ZDz4wjjkGLr88DOB23nmhQEr7rL8+XH89nHbaU9x+e+gscMcdWadaxT38GLjkEvjmN+Eb38g6kQCYe+2Tts3sE8AxwBHAc8D17v6LuhduNhP4mrs/UGbe4cBJ7r53hde2AC0AAwcOHDV16tR64zRca2srfdvbzaZJXnyxJ2edtQ0vvtiLM854kn32qb5pH1P2gvfe68a3vjWc++/fiC9/+WmOPLJM39FIxdieEHK98sogvv/9LVmwoDfHHLOA44+fR/fu2Q7mcMUVQ7n88k059NCFnHrq0yt/FMTcjjHmqmXs2LGz3D1952R3L3sDhgPfAZ4A7gZOBeZXen6Z199G2PVUeju46DkzgR3KvHYr4BngY2mWNXz4cI/RjBkzso7Qxuuvu48d6w7ukya5r1hR+bmxZW9tdd9rr5D9V7/KOk37xdaeBYVcra3uJ5wQ2veTn3SfNy+7TD/+cchx3HHuy5e3nRd7O+YN8ICn/E5396q7pJ4A9gQOcPfdPGxRLK/y/NJCtLe7b13mdlO115nZYOAGYIK7P5N2eVLbeuvBrbeGg4iTJoUulsuWZZ2qtrfeCt0oZ8yAM8+cw0knZZ2o6+nTBy69FK69Fh59FEaODOeUdLZLLoH//V844oiQR8em4lLtn+Mw4CVghpldYmZ7AU3dW2xm6wJ/Ac509380c1lrqrXXhssug+9/P1xcZdy48tc+jsXixaGX1/33w+9/r14yzXbUUfDQQzB8eDj+ddJJbU+CbKZrroETT4T99w+DRXbXVXeiU7FgeDjQfTSwOTADOB3Y0Mx+ZWb71rNQMzvUzBYCo4G/mNm0ZNYphJMEv21ms5ObhlJvMDP4f/8vDCdy773wyU/CMxFuy738MowZE37x3nhj+AKT5vvoR8MFic44A37zG9hpJ3jsseYu8+abwwmFn/oUXHdd+GEj8UnTS+odd7/a3Q8EBgMPAXX1WXD3G9x9sLuv4+6D3H1cMv0H7t7H3UcW3Tr3jKc1yDHHhGGhFy2CXXaBe+7JOtEqCxaEoR+eew5uuSX86pTO06NHOMdl2rQw2N+OO4Zu2yn6yLTb7bfDkUfCqFFhyI9evRq/DGmMdu0hdPc33P1id9+rWYGkc+2+e7iI/brrwp57ht0+WXv66ZBr0aJwneY9dfpmZvbdFx55JPx7nHhi2GX15puNe/977oGDDgq7wLK4tKq0jw4pCZttFnZN7bgjHH00/PCHzfklmcbjj4fdEkuWhIPco0dnk0NWGTQofJlPngw33BAOiN97b/3vO3t22JDsqP4AABWySURBVHL8yEfCpVXXX7/+95TmUsEQADbYIPya/9znwolSP/rRiE67TkPBgw+GYgFh+IpPfKJzly+VdesWjmncfXe4v/vu4YdFR4cVeeKJsPXSv3/YLbpRXYMNSWdRwZCVevYMB8K/9S245ZYPs//+oUtrZ7j33rDrqW9f+PvfYcstO2e50j477xx6UR1+ePhhse++8NJL7XuP554LF0Dq1i0Ui0oDZ0p8VDCkDbMwouk3vvEEM2eGHlTVrmLXCHfcEa7NvOGGYeiSj32sucuT+vTvH7rAXnppOAax3Xbh/J40XnwxFIt33w1btJtt1tys0lgqGFLWpz/9MtOmhWsn77wz/OtfzVnOX/4S9mNvumkoFvq1mQ9mYQDIWbPClfz22y+M/fTee5Vf89pr4YfBq6+GArPNNp2XVxpDBUMq2nPPsKuoVy/YY49wwLORrrsODj00XJN55kztx86jLbaAf/4zXC/9xz+GXXcNvdxKFc7Wf/ZZ+POfQwcLyR8VDKmq8IWw7bbw2c+Ga1Y3ogfVlVeGLpo77RT64Q8YUP97SjZ69gxDzV9/fTgBdPvtw5DkU6bAsGHhWMWgQaFX1A03hB8fkk+RXHJGYrbhhqGL64QJYZyfp5+Gn/+84xcs+tWvwrUN9t47nMHdp09j80o2Dj00nHw3fny4de8erl0CYcyytdcOQ71IfmkLQ1Lp1Suc1HfGGeEL/6CDOnZd6B/9KBSLAw8MZ/WqWHQtQ4aEHxf9+68qFgXvvQcTJ2aTSxpDBUNS69YtnLz1m9+EE6122w0WprwkhXsYIffrXw+7ov74x7ArQ7qetdYKF+wqZ8GCzs0ijaWCIe3W0hLGd3ruuVX98qtxD1sm3/0uHH982Lfdo0fnZJVsVOrtpl5w+aaCIR2y777wj3+E/dS77x56vpSzYkXYBfWjH8Epp4S++xq2uus7+2zo3bvttN69w3TJLxUM6bBttgk9qDbfHA4+OPSUKfbBB+FiTb/+NZx5ZjhQrgvirBnGjw+j2w4dGs7ZGDo0PB4/PutkUg/1kpK6fPjDYdynY46BU08NJ+I9/jg8/3w4UL5kCfzgBzrYuSYq9JaSrkMFQ+rWp0/og3/AAW2HiFiyJByrGDYss2gi0kDaQSAN0b07zJmz+vT339fWhUhXoYIhDVOpy6S6Uop0DSoY0jDqSinStalgSMOoK6VI16aCIQ2jrpQiXZt6SUlDqSulSNeVyRaGmR1hZo+Z2Qoz26HM/CFm1mpmX8sin4iIrC6rXVKPAocBd1WYfwHw186LIyIitWSyS8rd5wCY2WrzzOwQ4DngnU6OJSIiVZg34vJpHV242Uzga+7+QPK4L/A3YB/ga0Cru/+owmtbgBaAgQMHjpo6dWqnZG6P1tZW+vbtm3WMDok1e6y5aok1d6y5Kok1b6y5ahk7duwsd1/tsEAlTdvCMLPbgHJXaZ7o7jdVeNkk4Cfu3lpu66OYu18MXAwwYsQIHzNmTMfDNsnMmTOJMVcasWaPNVctseaONVclseaNNVejNa1guPveHXjZzsDhZnYesC6wwsyWuvuFNV4nIiJNFlW3WnffvXDfzCYRdkmpWIiIRCCrbrWHmtlCYDTwFzOblkUOERFJL6teUjcAN9R4zqTOSSMiImloaBAREUlFBUNERFJRwRARkVRUMEREJBUVDBERSUUFQ0REUlHBEBGRVFQwREQkFRUMERFJRQVDRERSUcEQEZFUVDBERCQVFQwREUlFBUNERFJRwRARkVRUMEREJBUVDBERSUUFQ0REUlHBEBGRVFQwREQkFRUMERFJRQVDRERSyaRgmNkRZvaYma0wsx1K5m1rZvcm8/9tZj2zyCgiIm2tldFyHwUOA35TPNHM1gKuAj7v7g+b2QDg/QzyiYhIiUwKhrvPATCz0ln7Ao+4+8PJ8xZ3cjQREakgqy2MSoYDbmbTgIHAte5+XrknmlkL0JI8XGZmj3ZSxvbYAHgt6xAdFGv2WHPVEmvuWHNVEmveWHPVMqI9T25awTCz24CNysya6O43VcmzG7AjsAS43cxmufvtpU9094uBi5NlPeDuO5Q+J2ux5koj1uyx5qol1tyx5qok1ryx5qrFzB5oz/ObVjDcfe8OvGwhcJe7vwZgZrcA2wOrFQwREelcsXWrnQZsY2a9kwPgewCPZ5xJRETIrlvtoWa2EBgN/CU5ZoG7vwFcAPwLmA086O5/SfGWFzctbH1izZVGrNljzVVLrLljzVVJrHljzVVLu3KbuzcriIiIdCGx7ZISEZFIqWCIiEgqKhgiIpKKCoaIiKTSpQqGmf016wxdiZll2vPDzD5ddL+/mf3WzB4xs6vNbFCW2TpK62j91IbZiW1okJrMbPtKs4CRnZmlzcLNvuDulyX3BwNXAKMI55Ec5+5PZZWtGjNbv9IsYP/OzFLGOcCtyf0fAy8BB7Jq4MpDMspVldbR+sXahpCvdkzLzP7t7tvUfF7eutWa2XLgTsKKU2oXd+/VyZEAMLMH3X375P5U4DbgUuBg4BR33yuLXLUk7Tmftu3pyeOPuPvamQRjtTad7e4ji+a1eRwTraP1i7UNIV/tWMzMDqs0C/i1uw+s9R6528IA5gAnuvvc0hlm9nwGecoZ7u5HJvdvMLNvZ5qmumeBvdx9QemMCNpzQzP7KmGF/pCZma/6hRPz7lSto/XLQxtC/O1Y7PfAFMIPwlKprjuUx4IxicpfFqd2Yo5Sg83s54Qvt4Fm1sPdC9fy6JFhrlp+CqwHrFYwgLIjBXeiS4B+yf0rCCOCLjKzjQgjAcRqElpH6zWJONsQ8tWOxR4BfuTuq43sbWapxv7L3S6pWJnZsSWTbnb3N5Ivt6+4+zezyCVSoHW0MfLajma2OzC/wt6EHdy95si1uSwYZjaOcMDzI8mkF4Cb3P3Wyq+SSsxsc8L+1+L2vLlwoasYmdnx7v67rHNUonW0fmrD+OSuYJjZTwkXWrqSMBw6wGBgAjDX3U/LKlslZvZtd/9e1jnKMbNvAJ8DrqVtex5NuIDVuVllq8bMFrj7kKxzlKN1tH55bEOIrx2LJSOAnwAcCmycTH4BuAn4bdFutcrvkcOC8ZS7Dy8z3YCn3H2zDGJVFfmX21PAVqUri5mtDTyWZXua2SOVZhEONq7TmXnS0jpavzy2IcTXjsXM7BrgTcLxwOIifCywvrsfVes98njQe6mZ7eju/yqZviOwNItAAGb2n0qzgMy6AKawgvBrY37J9A8n87I0CBgHvFEy3YB7Oj9OalpH6xdlG0Lu2rHYqDJFeCFwX/LDsaY8FozjgF+ZWT9WVclNgLeSeVl5E9jR3V8pnRFZN8BSpxMuhTsXKOQcAnwcOCWzVMGfgb7uvlqPKDOb2flxUjsOraP1Oo442xDy1Y7FXjezI4A/uvsKADPrBhzB6j/KyspdwXD3B4Gdkx4JKw+GufvLGcaCsK91KLDaSgRc3clZUnP3W81sOLATbQ8u/svdl2eXDNz9hCrzjunMLO2hdbR+Ebch5KgdSxwNTAYuMrNCgVgPuCOZV1PujmGUY2aT3H1S1jm6CjNrcfcoryAWc7ZqtI7WT23YOGY2AMDdF7fndTGfLdseB2UdoBwzm5R1hg46KesAVcScrRqto/WLsg0hd+2Iuy9298XtHWC0qxSMcuPNxCDaFbyGWNsT4s5WTay587SOxtqGkK92LLZDe57cVQrGqKwDVBDzCl7NgVkHqCLmbNVoHa1frG0I+WrHYq+258m5O4ZhZhcQjvL/I+sstZhZt0JvhFglw5ufArwI/Bb4JjCaMPjbOe6eqvfEmpatFjMbC3yW0LNnOfAUcKm7P51psBKxrqONOMmsM8Xajo2Wx4KxiHDOwEDC6IvXuPtD2abKVyErZma3AP8GPgRskdyfCuwDbOfuBytb+5jZD4GNgNsJQ1s8RygY/00odH/IMFteClndJ5k1MVuuilkaZnaxu7fUfF4OC8ZD7v6JpCvoUYTuYN2BawjFI5OLl8RayGopXFciOYN2obt/pHSesrWPFV2MJvlyudPddzWz9YC/u/vWGeWKtpCVqnSmd615nSHmYlaNVb9Y2sPuPrjWe+TuPAySsdyTwvB94Ptmti1hPKRbCCecZWGhu+9QVMiuMrPMC1kK3ZIvsn5AXzMb5u7zkm53mV08KQfZqllhZuu7++uEX6DdAZIRTbPc131AUSG7llDIvm5m1wF/B6IpGDTgJLMmqvuM6YwUftSWu1jahmneII8FY7X/cO7+CGGs97M6P86qGEmW2ApZLT8EnkjufwG4NPlO2wL4blahEjFnq+Yc4KHky2ME8GUAMxsIPJxhrlgLWTnlTjJbF5hBypPMmijmYlZN3RdLy+Muqb7u3pp1jlKFXWVZ5+iIZEvI3P2DZBfKSMJZtS9lHC3qbNUkm/8fBZ529zezzgNgZkcRLoq1spC5+1+SQvazWM+e7+hJZs1iZsMIxWxPVhWIQjE7092fyyZZdWZ2MnC3u6/2o8XMTnX3X9R8j7wVDAAz6w98mrZDWUzL8j9mrIUsjRjbsyDmbNXEmjvGQtZeZraPu/8t6xwQXzFrttydh2FmE4AHgTFA7+Q2FpiVzMuEu7eaWX8zO8rMvprcjjKzdbPKlEas7QlxZ6sm8tzLgY8BX8jLOlrGb7MOUFA4Y7rw2Mz2yTJPR6XNnbstDDN7Eti59NdRcnD0n1n1nki+CL4DTCf8moTQc2If4LvufmUWuWqJtT2TDNFmqybW3HlaR83s5kqzgD3dvU9n5knLIr4eRjVpc+f1oHe5KreCbM+2nEjoPVH2S4IwwmWMYm1PiDtbNbHmztM6ujvwX0Dpbl4jjKycmRrFbEBnZmmPRuTOY8E4G3jQzKbT9voN+xB6J2Ul1i+JWmJtT4g7WzWx5s7TOnofsMTd7yydkWzBZSnaYlZD3blzt0sKVv4iGsfqBxSzHMbiWODbhM391b4k3P3yjKLVFGN7FsScrZoYc+d5HY2Jmf0VOM/dZ5SZd5e7fyqDWDU1IncuC0YpMzvA3f8cQY7oviQ6Ipb2LCfmbNXEkjvP62gsbbgm6yoF40F33z7rHKXyuoLH2p4Qd7ZqYs2dp3U01jaEfLVjsfbmzl232gpi2/9a8L2sA3RQrO0JcWerJtbceVpHY21DyFc7FmtX7q5SME7MOkAFMa/g1cTanhB3tmpizZ2ndTTWNoR8tWOxduXOXcEws7XNbIKZ7Z08PgaYYGYnm1mPjOOVinkFB+Juz5izVZOz3FGuozlrQ4i0HVNoV+7cHcMwsymE7sC9CUMM9wWuB/YifJ5jM8q1NmFQtBfd/bZkBf8k4WI/F8c6Rn6s7Rl7tmpizZ2ndTTWNkyy5aYdizUidx4LxiPuvm0yEN0LwMbuvtzMCmO6b5tRrmhX8Gpibc/Ys1UTa+48raOxtmGSLTftWKwRufN44l63pFL2IXzw/sDrwDpAlpuq21RYwa8i2yGta4m1PSHubNXEmjtP62isbQj5asdidefOY8H4LeEaCd0JQx38wcyeBXYBrs0wV8wreDWxtifEna2aWHPnaR2NtQ0hX+1YrO7cudslBWBmGwO4+4sWRtrcG1jg7vdnmOl/gFMJK/iPgYMJFyzZBbjO3aO94E+M7VkQc7ZqYsydt3U0xjZMcuWqHQsakTuXBaMSy/iaFLGu4B2VdXtWE3O2arLO3RXW0azbMMmQy3asN3dXKxhRDi0cwwreEbG2J8SdrZpYc+dpHY21DSFf7Vgsbe7cHcMws69WmkU46h+jxwmDvEUn5vaMOVs1Oc0d1Tqa0zaEyNqxHVLlzl3BAM4Bzgc+KDMvsxMRc7yCR9meiZizVRNl7pyto1G2IeSuHVdqRO48FowHgRvdfVbpDDP7YgZ5CqJdwWuItT0h7mzVxJo7T+torG0I+WrHYnXnzt0xDDMbAbzu7ovKzBvk7q9kEAszuwc4tcIK/ry7b5JBrJpibc9k+dFmqybW3HlaR2Ntw2T5uWnHYo3InbuCEauYV3AR0DraKHltx0bkzl3BMLP+wFnAIcCGhEtOvgrcBJzrJdcrlupibs+Ys1WT19wxURvGKeb9bZVMBd4Axrj7+u4+ABibTJuaVSgz629m55rZE2b2upktNrM5ybR1s8qVQpTtmYg5WzVR5s7ZOhplG0Lu2nGlRuTO4xbGk+4+or3zms3MpgF3AFe4+8vJtI2AY4G93H3fLHLVEmt71lp+1tmqiTV3ntbRWNswWX5u2rFYI3LncQtjvpmdYWaDChPMbJCZfYNVF7bPwjB3n1z4hwBw95fdfTIwNMNctcTanhB3tmpizZ2ndTTWNoR8tWOxunPnsWAcBQwA7jSzN8zsdWAmsD5wZIa5Yl7Bq4m1PSHubNXEmjtP62isbQj5asdidefO3S4pADPbHBgM3Fd8OruZfdrdb80o03rAmYQBvQYRDtK9AtwMTHb317PIlUaM7VmUIdps1cSYO2/raIxtmCw/V+1Y0JDc7p6rG/AV4EngRmAecHDRvAczzrY5YTCvviXTP511u+W0PaPNltfceVlHY27DPLVjo3Nn/gE68IH/XfiwwDDgAeC05PFDGeaKegXPW3vGni2PufO0jsbahnlrx0bnzuPQIN082Tx193lmNga4zsyGEsZEycqXgFHu3mpmw5JMw9z9ZxnnqiXW9oS4s1UTa+48raOxtiHkqx2L1Z07jwe9XzGzkYUHyUp1ALABsE1mqUpWcGAMsJ+ZXUDcK1Gs7QlxZ6sm1tx5WkdjbUPIVzsWqzt3HgvGBODl4gnu/oG7TwA+lU0kIO4VvJpY2xPizlZNrLnztI7G2oaQr3YsVnfuXPaSipGZDQY+8KI+zkXzdnX3f2QQS2QlraONkdd2bERuFQwREUklj7ukREQkAyoYIiKSigqGSAeY2XIzm21mj5nZw2b2v2ZW9f+TmQ0zs2M6K6NIo6lgiHTMu+4+0t23AvYB9gO+U+M1wwAVDMktHfQW6QAza3X3vkWPPwr8i9BFcSjwf0CfZPYp7n6Pmd0HbAE8B1wB/Bw4l9Affh3gl+7+m077ECLtpIIh0gGlBSOZ9iYwAngbWOHuS81sM+Aad98hOVv5a+5+QPL8FmBDd/+Bma0D/AM4wt2f69QPI5JSHocGEYldD+DC5CSp5cDwCs/bF9jWzA5PHvcHNiNsgYhERwVDpAGSXVLLCded/g5h2OjtCMcJl1Z6GXCqu0/rlJAiddJBb5E6mdlA4NfAhR728fYHXnL3FcDnge7JU98G+hW9dBrwZTPrkbzPcDPrg0iktIUh0jG9zGw2YffTB4SD3Bck8y4C/mhmE4BbgXeS6Y8Ay83sYeBy4GeEnlMPmpkBi4BDOusDiLSXDnqLiEgq2iUlIiKpqGCIiEgqKhgiIpKKCoaIiKSigiEiIqmoYIiISCoqGCIiksr/B/TWhRfc/2RjAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plot average clutter time series\n", + "from coral.plot import plot_clutter\n", + "\n", + "plot_clutter(t, Avg_clt, start, end, 'SERF')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Exercises\n", + "\n", + "1) First run the code snippets in this Jupyter Notebook to get a feel for what the commands are doing. These will use the SAR data included within the CoRAL package.\n", + "\n", + "2) Modify the notebook code to read in a different SAR dataset and re-run the different steps. You will need to define the pixel range and azimuth for the corner reflector in these new images.\n", + "\n", + "## Questions\n", + "\n", + "Answer the following questions and qualify your answer with code and output.\n", + "\n", + "1) What is the Radar Cross Section (RCS) of the new corner reflector. *From the data*, determine when the corner reflector was installed." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "2) What does the Clutter time series tell you about the change of environmental conditions on site? Any thoughts on what might have caused these changes?" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "3) How is the Signal to Clutter ratio (SCR) affected by varying the sample window sizes used in the CoRAL analysis?" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "4) Find another nearby bright target in the SAR image and run a CoRAL analysis. How does this target compare to the corner reflector (in terms of RCS and SCR)?" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.7" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/README.md b/README.md index bc3f810..dc9b4d2 100644 --- a/README.md +++ b/README.md @@ -12,13 +12,13 @@ This package requires the following non-standard Python modules installed: ``` NumPy Matplotlib -Rasterio >= 1.0.22 +Rasterio +Jupyterlab (to use the Jupyter Notebook) ``` ### Authors * **Matt Garthwaite** - [mcgarth](https://github.com/mcgarth) -* **Thomas Fuhrmann** - [tfuhrmann](https://github.com/tfuhrmann) ### Running @@ -34,6 +34,10 @@ A stack of 9 example SAR images is contained in the ```data\``` directory. The e Each tiff file (```*.tif```) contains 200*200 floating point values. Each data file has an accompanying text file (```*.mli.par```) containing metadata generated by the GAMMA Remote Sensing software. The example images, in descending-pass radar geometry, cover a small area cropped from the full images containing a test site "SERF" at Samford, Queensland, Australia. A corner reflector target was deployed at SERF for teaching purposes in August 2018. +### Jupyter Notebook + +A Jupyter notebook is included in the package that demonstrates an example CoRAL analysis using the included SAR data. + ### Testing To run unit tests from within CoRAL repository directory: From 59d51eb9191b240ebb63585b0c224409f8b3c7fc Mon Sep 17 00:00:00 2001 From: Matthew Garthwaite Date: Thu, 19 Sep 2019 15:53:09 +1000 Subject: [PATCH 02/33] update Python version to 3.6 --- .travis.yml | 2 +- README.md | 3 ++- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/.travis.yml b/.travis.yml index 85aad08..1493ef2 100644 --- a/.travis.yml +++ b/.travis.yml @@ -1,6 +1,6 @@ language: python python: - - "3.4" + - "3.6" install: - sudo apt-get update - wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh; diff --git a/README.md b/README.md index dc9b4d2..f5511d2 100644 --- a/README.md +++ b/README.md @@ -7,9 +7,10 @@ CoRAL is a library of tools for analysing the response of corner reflectors (or ### Dependencies -This package requires the following non-standard Python modules installed: +This package requires the following: ``` +Python==3.6 NumPy Matplotlib Rasterio From f319b561efa7b687a6ffe0964a271a740b1cc993 Mon Sep 17 00:00:00 2001 From: Matthew Garthwaite Date: Fri, 20 Sep 2019 16:45:48 +1000 Subject: [PATCH 03/33] add function for ENVI file reading --- coral/dataio.py | 15 ++++++++++----- 1 file changed, 10 insertions(+), 5 deletions(-) diff --git a/coral/dataio.py b/coral/dataio.py index 0611255..dffb622 100644 --- a/coral/dataio.py +++ b/coral/dataio.py @@ -3,7 +3,7 @@ Radar images """ import numpy as np -import rasterio +import rasterio as rio from rasterio.windows import Window import os @@ -16,7 +16,12 @@ def readfile(file, sub_im, cr): if ext == '.tif': print('Reading tiff image:', file) par = readpar(root + '.mli.par') - data = readtiff(file, sub_im, cr) + data = readimg(file, sub_im, cr) + + elif ext == '.img': + print('Reading ENVI image:', file) + #par = readhdr(root + '.hdr') + data = readimg(file, sub_im, cr) else: # must be GAMMA flat binary float format print('Reading flat binary image', file) @@ -60,10 +65,10 @@ def readmli(datafile, par, sub_im, cr): return d[cr[1]-sub_im:cr[1]+sub_im,cr[0]-sub_im:cr[0]+sub_im] -def readtiff(datafile, sub_im, cr): - """Function to read a tiff and provide a subsetted image""" +def readimg(datafile, sub_im, cr): + """Function to read a file and provide a subsetted image""" - with rasterio.open(datafile) as src: + with rio.open(datafile) as src: d = src.read(1, window=Window(cr[0]-sub_im, cr[1]-sub_im, sub_im*2, sub_im*2)) #print("Number of elements and size of the array is",d.size, d.shape) From 43287b2e1b7371f9a7ea57b7d15be90f536c7b61 Mon Sep 17 00:00:00 2001 From: tfuhrmann Date: Wed, 15 Apr 2020 09:58:17 +1000 Subject: [PATCH 04/33] changed "python" to "python3" under "### Testing" the unit test command doesn't work with "python" only (at least on Gadi). --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index f5511d2..f011592 100644 --- a/README.md +++ b/README.md @@ -43,7 +43,7 @@ A Jupyter notebook is included in the package that demonstrates an example CoRAL To run unit tests from within CoRAL repository directory: -```python -m unittest discover tests/``` +```python3 -m unittest discover tests/``` ### License From 03cb2aaabf75ec1ce920c3bc8d205e3bd7ced5f8 Mon Sep 17 00:00:00 2001 From: Thomas Fuhrmann Date: Thu, 16 Apr 2020 13:37:06 +1000 Subject: [PATCH 05/33] added functionality to read and update CR coordinates, handling of asc/desc data sets (incl. plotting), example main scripts to process RSAT2/S1 Camden data in a given dir (using parallel processing) --- Calc_CR_response.py | 6 +- Calc_CR_response_CamdenRSAT2.py | 279 ++++++++++++++++++++++++++++++++ Calc_CR_response_CamdenS1.py | 279 ++++++++++++++++++++++++++++++++ coral/corner_reflector.py | 25 ++- coral/dataio.py | 55 +++++++ coral/plot.py | 89 +++++++++- coral/plot2.py | 153 ++++++++++++++++++ tests/test_coral.py | 4 +- 8 files changed, 873 insertions(+), 17 deletions(-) create mode 100644 Calc_CR_response_CamdenRSAT2.py create mode 100644 Calc_CR_response_CamdenS1.py create mode 100644 coral/plot2.py diff --git a/Calc_CR_response.py b/Calc_CR_response.py index 196a76c..db103d8 100644 --- a/Calc_CR_response.py +++ b/Calc_CR_response.py @@ -39,9 +39,7 @@ for name, cr in sites.items(): print(name,'is desc',cr[0]) - avgI, rcs, scr, Avg_clt, t = loop(files, sub_im, cr[0], targ_win_sz, clt_win_sz) - - cr_pos = np.array([sub_im, sub_im]) + avgI, rcs, scr, Avg_clt, t, cr_new, cr_pos = loop(files, sub_im, cr[0], targ_win_sz, clt_win_sz) # Plot mean intensity image plot_mean_intensity(avgI, cr_pos, targ_win_sz, clt_win_sz, name) @@ -50,6 +48,6 @@ plot_rcs_scr(t, rcs, scr, start, end, name) # Plot average clutter time series - plot_clutter(t, Avg_clt, start, end, name) + plot_clutter(t, Avg_clt, start, end, name, "Descending") diff --git a/Calc_CR_response_CamdenRSAT2.py b/Calc_CR_response_CamdenRSAT2.py new file mode 100644 index 0000000..1b7bbce --- /dev/null +++ b/Calc_CR_response_CamdenRSAT2.py @@ -0,0 +1,279 @@ +""" +Ths is an example python script for running CoRAL analysis + +Example command line usage: python3 Calc_CR_response_config.py +""" +import glob +import numpy as np +from datetime import datetime +from coral.corner_reflector import loop +from coral.dataio import read_radar_coords, write_radar_coords +from coral.plot import * +from coral.plot2 import * +# for parallel processing: module joblib needs to be installed: +# e.g.: pip install --user joblib +from joblib import Parallel, delayed +import multiprocessing +import sys, os, os.path + + +##################### +### Config parameters +##################### +# data directories for ascending and/or descending data paths (use "-" if geometry doesn't exist) +data_path_asc = "/g/data/dg9/INSAR_ANALYSIS/CAMDEN/RSAT2/GAMMA/T246A" +data_path_desc = "/g/data/dg9/INSAR_ANALYSIS/CAMDEN/RSAT2/GAMMA/T081D" + +# convention for for filenames of intensity images within the given data paths +file_name_conv = "/SLC/20*/r*2rlks.mli" + +# name of file containing initial radar coordinates of CRs (located in the asc/desc data_path directory) +cr_file_name = "/CR_site_lon_lat_hgt_date1_date2_az_rg_initial.txt" +# name of file to write updated radar coordinates of CRs (located in the asc/desc data_path directory) +cr_file_name_new = "/CR_site_lon_lat_hgt_date1_date2_az_rg.txt" + +# output directory +path_out = "/g/data/dg9/INSAR_ANALYSIS/CAMDEN/RSAT2/GAMMA/CoRAL_output" + +# target window +targ_win_sz = 5 # for multi-looked data (factor 2) +# targ_win_sz = 7 # for full-resolution data +# clutter window +clt_win_sz = 11 +# clt_win_sz = 15 # for full-resolution data +# give cropped image size (for plotting) +sub_im = 51 +##################### +### Config parameters +##################### + + +# Start the processing +print(' ') +print('Running CoRAL...') +print(' ') +# used to calculate runtime +run_start = datetime.now() + +# if - is given as datapath, this geometry is not used +if data_path_asc == "-": + asc_track_files = "" +else: + asc_track_files = data_path_asc + file_name_conv +if data_path_desc == "-": + desc_track_files = "" +else: + desc_track_files = data_path_desc + file_name_conv + + +# Get list of image files in asc/desc directories +if asc_track_files: + print('Ascending data set given...') + files_a = [] + for file in glob.glob(asc_track_files): + files_a.append(file) + files_a.sort() + # read initial radar coordinates of CRs + filename = data_path_asc + cr_file_name + sites_a, az_a, rg_a = read_radar_coords(filename) +if desc_track_files: + print('Descending data set given...') + files_d = [] + for file in glob.glob(desc_track_files): + files_d.append(file) + files_d.sort() +# read initial radar coordinates of CRs + filename = data_path_desc + cr_file_name + sites_d, az_d, rg_d = read_radar_coords(filename) + + +# check if CR files have the same length +if asc_track_files and desc_track_files: + if sites_a == sites_d: + print("CR files for asc and desc tracks contain same set of sites.") + keys = sites_a + values = (np.array([[rg_a[i], az_a[i]],[rg_d[i], az_d[i]]], dtype=int) \ + for i in range(0, len(sites_a))) + else: + print("ERROR: different CR sites given for asc and desc track.") + sys.exit() + print(' ') +elif asc_track_files and not desc_track_files: + keys = sites_a + values = (np.array([[rg_a[i], az_a[i]],[-999, -999]], dtype=int) \ + for i in range(0, len(sites_a))) +elif desc_track_files and not asc_track_files: + keys = sites_d + values = (np.array([[-999, -999],[rg_d[i], az_d[i]]], dtype=int) \ + for i in range(0, len(sites_d))) + +sites = dict(zip(keys, values)) + + +################################## +# function for parallel loop processing +names = sites.keys() +# note that dictionaries are unsorted and the variable name is hence not ordered +def processInput(name): + + cr = sites[name] + + if asc_track_files: + avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a, cr_pos_a = loop(files_a, sub_im, cr[0], targ_win_sz, clt_win_sz) + if desc_track_files: + avgI_d, rcs_d, scr_d, clt_d, t_d, cr_new_d, cr_pos_d = loop(files_d, sub_im, cr[1], targ_win_sz, clt_win_sz) + + if asc_track_files and desc_track_files: + return name, cr_pos_a, avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a, \ + cr_pos_d, avgI_d, rcs_d, scr_d, clt_d, t_d, cr_new_d + elif asc_track_files and not desc_track_files: + return name, cr_pos_a, avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a + elif desc_track_files and not asc_track_files: + return name, cr_pos_d, avgI_d, rcs_d, scr_d, clt_d, t_d, cr_new_d + + +# parallel processing of MLI read and RCS, SCR calculation +num_cores = multiprocessing.cpu_count() +# num_cores results in 32 on the NCI which in turn results in an error +# hence the number of 16 cores is hard-coded here +results = Parallel(n_jobs=16)(delayed(processInput)(name) for name in names) + + +# extract results and plot images + +# create output dir if it doesn't exist +if not os.path.exists(path_out): + os.makedirs(path_out) + +print(' ') +print('Creating output data...') +print(' ') +for i in range(0, len(names)): + + # ascending and descending CRs in one plot + if asc_track_files and desc_track_files: + # read result arrays of parallel function, both geometries + name = results[i][0] + cr_pos_a = results[i][1] + avgI_a = results[i][2] + rcs_a = results[i][3] + scr_a = results[i][4] + clt_a = results[i][5] + t_a = results[i][6] + cr_new_a = results[i][7] + cr_pos_d = results[i][8] + avgI_d = results[i][9] + rcs_d = results[i][10] + scr_d = results[i][11] + clt_d = results[i][12] + t_d = results[i][13] + cr_new_d = results[i][14] + + # add new coords to sites dictionary + cr = np.array([cr_new_a, cr_new_d]) + sites[name] = cr + + # Visualisation + print('Site %s' % name) + # Plot mean intensity image + plot_mean_intensity2(avgI_a, avgI_d, cr_pos_a, cr_pos_d, targ_win_sz, clt_win_sz, name, path_out) + + # extract start and end date + start_time = min(t_a[0], t_d[0]) + end_time = max(t_a[-1], t_d[-1]) + margin = (end_time - start_time)/50 + start = start_time - margin + end = end_time + margin + + # Plot average clutter time series + plot_clutter2(t_a, t_d, clt_a, clt_d, start, end, name, path_out) + # Plot scr time series + plot_scr2(t_a, t_d, scr_a, scr_d, start, end, name, path_out) + # Plot rcs time series + plot_rcs2(t_a, t_d, rcs_a, rcs_d, start, end, name, path_out) + + # write RCS data to file + filename_out = path_out + "/rcs_values_" + name + "_" + "Ascending.txt" + fout = open(filename_out,'w') + for time, value in zip(t_a,rcs_a): + timestr = time.strftime("%Y%m%d") + fout.write("%s %f\n" % (timestr, value)) + fout.close() + filename_out = path_out + "/rcs_values_" + name + "_" + "Descending.txt" + fout = open(filename_out,'w') + for time, value in zip(t_d,rcs_d): + timestr = time.strftime("%Y%m%d") + fout.write("%s %f\n" % (timestr, value)) + fout.close() + + # one geometry (ascending or descending) + else: + # read result arrays of parallel function, one geometry + name = results[i][0] + cr_pos = results[i][1] + avgI = results[i][2] + rcs = results[i][3] + scr = results[i][4] + clt = results[i][5] + t = results[i][6] + cr_new = results[i][7] + + # add new coords to sites dictionary + if asc_track_files: + geom='Ascending' + cr = np.array([cr_new, [-999, -999]]) + if desc_track_files: + geom='Descending' + cr = np.array([[-999, -999], cr_new]) + sites[name] = cr + + + # Visualisation + print('Site %s' % name) + # Plot mean intensity image + plot_mean_intensity(avgI, cr_pos, targ_win_sz, clt_win_sz, name, path_out) + + # extract start and end date + start_time = t[0] + end_time = t[-1] + margin = (end_time - start_time)/50 + start = start_time - margin + end = end_time + margin + + # Plot average clutter time series + plot_clutter(t, clt, start, end, name, geom, path_out) + # Plot scr time series + plot_scr(t, scr, start, end, name, geom, path_out) + # Plot rcs time series + plot_rcs(t, rcs, start, end, name, geom, path_out) + # Plot RCS_SCR time series + plot_rcs_scr(t, rcs, scr, start, end, name, path_out) + + + # write RCS data to file + filename_out = path_out + "/rcs_values_" + name + "_" + geom + ".txt" + fout = open(filename_out,'w') + for time, value in zip(t,rcs): + timestr = time.strftime("%Y%m%d") + fout.write("%s %f\n" % (timestr, value)) + fout.close() + + +# write updated radar coordinates to a new file +print(' ') +if asc_track_files: + # new file with updated radar coordinates of CRs + filename_init = data_path_asc + cr_file_name + filename = data_path_asc + cr_file_name_new + write_radar_coords(filename_init, filename, sites, "asc") +if desc_track_files: + # new file with updated radar coordinates of CRs + filename_init = data_path_desc + cr_file_name + filename = data_path_desc + cr_file_name_new + write_radar_coords(filename_init, filename, sites, "desc") + + +# print out runtime +runtime = datetime.now() - run_start +print(' ') +print('Runtime: %s' % runtime) diff --git a/Calc_CR_response_CamdenS1.py b/Calc_CR_response_CamdenS1.py new file mode 100644 index 0000000..10b7cf5 --- /dev/null +++ b/Calc_CR_response_CamdenS1.py @@ -0,0 +1,279 @@ +""" +Ths is an example python script for running CoRAL analysis + +Example command line usage: python3 Calc_CR_response_config.py +""" +import glob +import numpy as np +from datetime import datetime +from coral.corner_reflector import loop +from coral.dataio import read_radar_coords, write_radar_coords +from coral.plot import * +from coral.plot2 import * +# for parallel processing: module joblib needs to be installed: +# e.g.: pip install --user joblib +from joblib import Parallel, delayed +import multiprocessing +import sys, os, os.path + + +##################### +### Config parameters +##################### +# data directories for ascending and/or descending data paths (use "-" if geometry doesn't exist) +data_path_asc = "-" +data_path_desc = "/g/data/dg9/INSAR_ANALYSIS/CAMDEN/S1/GAMMA/T147D" + +# convention for for filenames of intensity images within the given data paths +file_name_conv = "/SLC/20*/r*8rlks.mli" + +# name of file containing initial radar coordinates of CRs (located in the asc/desc data_path directory) +cr_file_name = "/CR_site_lon_lat_hgt_date1_date2_az_rg_initial.txt" +# name of file to write updated radar coordinates of CRs (located in the asc/desc data_path directory) +cr_file_name_new = "/CR_site_lon_lat_hgt_date1_date2_az_rg.txt" + +# output directory +path_out = "/g/data/dg9/INSAR_ANALYSIS/CAMDEN/S1/GAMMA/CoRAL_output" + +# target window +targ_win_sz = 5 # for multi-looked data (factor 2) +# targ_win_sz = 7 # for full-resolution data +# clutter window +clt_win_sz = 11 +# clt_win_sz = 15 # for full-resolution data +# give cropped image size (for plotting) +sub_im = 51 +##################### +### Config parameters +##################### + + +# Start the processing +print(' ') +print('Running CoRAL...') +print(' ') +# used to calculate runtime +run_start = datetime.now() + +# if - is given as datapath, this geometry is not used +if data_path_asc == "-": + asc_track_files = "" +else: + asc_track_files = data_path_asc + file_name_conv +if data_path_desc == "-": + desc_track_files = "" +else: + desc_track_files = data_path_desc + file_name_conv + + +# Get list of image files in asc/desc directories +if asc_track_files: + print('Ascending data set given...') + files_a = [] + for file in glob.glob(asc_track_files): + files_a.append(file) + files_a.sort() + # read initial radar coordinates of CRs + filename = data_path_asc + cr_file_name + sites_a, az_a, rg_a = read_radar_coords(filename) +if desc_track_files: + print('Descending data set given...') + files_d = [] + for file in glob.glob(desc_track_files): + files_d.append(file) + files_d.sort() +# read initial radar coordinates of CRs + filename = data_path_desc + cr_file_name + sites_d, az_d, rg_d = read_radar_coords(filename) + + +# check if CR files have the same length +if asc_track_files and desc_track_files: + if sites_a == sites_d: + print("CR files for asc and desc tracks contain same set of sites.") + keys = sites_a + values = (np.array([[rg_a[i], az_a[i]],[rg_d[i], az_d[i]]], dtype=int) \ + for i in range(0, len(sites_a))) + else: + print("ERROR: different CR sites given for asc and desc track.") + sys.exit() + print(' ') +elif asc_track_files and not desc_track_files: + keys = sites_a + values = (np.array([[rg_a[i], az_a[i]],[-999, -999]], dtype=int) \ + for i in range(0, len(sites_a))) +elif desc_track_files and not asc_track_files: + keys = sites_d + values = (np.array([[-999, -999],[rg_d[i], az_d[i]]], dtype=int) \ + for i in range(0, len(sites_d))) + +sites = dict(zip(keys, values)) + + +################################## +# function for parallel loop processing +names = sites.keys() +# note that dictionaries are unsorted and the variable name is hence not ordered +def processInput(name): + + cr = sites[name] + + if asc_track_files: + avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a, cr_pos_a = loop(files_a, sub_im, cr[0], targ_win_sz, clt_win_sz) + if desc_track_files: + avgI_d, rcs_d, scr_d, clt_d, t_d, cr_new_d, cr_pos_d = loop(files_d, sub_im, cr[1], targ_win_sz, clt_win_sz) + + if asc_track_files and desc_track_files: + return name, cr_pos_a, avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a, \ + cr_pos_d, avgI_d, rcs_d, scr_d, clt_d, t_d, cr_new_d + elif asc_track_files and not desc_track_files: + return name, cr_pos_a, avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a + elif desc_track_files and not asc_track_files: + return name, cr_pos_d, avgI_d, rcs_d, scr_d, clt_d, t_d, cr_new_d + + +# parallel processing of MLI read and RCS, SCR calculation +num_cores = multiprocessing.cpu_count() +# num_cores results in 32 on the NCI which in turn results in an error +# hence the number of 16 cores is hard-coded here +results = Parallel(n_jobs=16)(delayed(processInput)(name) for name in names) + + +# extract results and plot images + +# create output dir if it doesn't exist +if not os.path.exists(path_out): + os.makedirs(path_out) + +print(' ') +print('Creating output data...') +print(' ') +for i in range(0, len(names)): + + # ascending and descending CRs in one plot + if asc_track_files and desc_track_files: + # read result arrays of parallel function, both geometries + name = results[i][0] + cr_pos_a = results[i][1] + avgI_a = results[i][2] + rcs_a = results[i][3] + scr_a = results[i][4] + clt_a = results[i][5] + t_a = results[i][6] + cr_new_a = results[i][7] + cr_pos_d = results[i][8] + avgI_d = results[i][9] + rcs_d = results[i][10] + scr_d = results[i][11] + clt_d = results[i][12] + t_d = results[i][13] + cr_new_d = results[i][14] + + # add new coords to sites dictionary + cr = np.array([cr_new_a, cr_new_d]) + sites[name] = cr + + # Visualisation + print('Site %s' % name) + # Plot mean intensity image + plot_mean_intensity2(avgI_a, avgI_d, cr_pos_a, cr_pos_d, targ_win_sz, clt_win_sz, name, path_out) + + # extract start and end date + start_time = min(t_a[0], t_d[0]) + end_time = max(t_a[-1], t_d[-1]) + margin = (end_time - start_time)/50 + start = start_time - margin + end = end_time + margin + + # Plot average clutter time series + plot_clutter2(t_a, t_d, clt_a, clt_d, start, end, name, path_out) + # Plot scr time series + plot_scr2(t_a, t_d, scr_a, scr_d, start, end, name, path_out) + # Plot rcs time series + plot_rcs2(t_a, t_d, rcs_a, rcs_d, start, end, name, path_out) + + # write RCS data to file + filename_out = path_out + "/rcs_values_" + name + "_" + "Ascending.txt" + fout = open(filename_out,'w') + for time, value in zip(t_a,rcs_a): + timestr = time.strftime("%Y%m%d") + fout.write("%s %f\n" % (timestr, value)) + fout.close() + filename_out = path_out + "/rcs_values_" + name + "_" + "Descending.txt" + fout = open(filename_out,'w') + for time, value in zip(t_d,rcs_d): + timestr = time.strftime("%Y%m%d") + fout.write("%s %f\n" % (timestr, value)) + fout.close() + + # one geometry (ascending or descending) + else: + # read result arrays of parallel function, one geometry + name = results[i][0] + cr_pos = results[i][1] + avgI = results[i][2] + rcs = results[i][3] + scr = results[i][4] + clt = results[i][5] + t = results[i][6] + cr_new = results[i][7] + + # add new coords to sites dictionary + if asc_track_files: + geom='Ascending' + cr = np.array([cr_new, [-999, -999]]) + if desc_track_files: + geom='Descending' + cr = np.array([[-999, -999], cr_new]) + sites[name] = cr + + + # Visualisation + print('Site %s' % name) + # Plot mean intensity image + plot_mean_intensity(avgI, cr_pos, targ_win_sz, clt_win_sz, name, path_out) + + # extract start and end date + start_time = t[0] + end_time = t[-1] + margin = (end_time - start_time)/50 + start = start_time - margin + end = end_time + margin + + # Plot average clutter time series + plot_clutter(t, clt, start, end, name, geom, path_out) + # Plot scr time series + plot_scr(t, scr, start, end, name, geom, path_out) + # Plot rcs time series + plot_rcs(t, rcs, start, end, name, geom, path_out) + # Plot RCS_SCR time series + plot_rcs_scr(t, rcs, scr, start, end, name, path_out) + + + # write RCS data to file + filename_out = path_out + "/rcs_values_" + name + "_" + geom + ".txt" + fout = open(filename_out,'w') + for time, value in zip(t,rcs): + timestr = time.strftime("%Y%m%d") + fout.write("%s %f\n" % (timestr, value)) + fout.close() + + +# write updated radar coordinates to a new file +print(' ') +if asc_track_files: + # new file with updated radar coordinates of CRs + filename_init = data_path_asc + cr_file_name + filename = data_path_asc + cr_file_name_new + write_radar_coords(filename_init, filename, sites, "asc") +if desc_track_files: + # new file with updated radar coordinates of CRs + filename_init = data_path_desc + cr_file_name + filename = data_path_desc + cr_file_name_new + write_radar_coords(filename_init, filename, sites, "desc") + + +# print out runtime +runtime = datetime.now() - run_start +print(' ') +print('Runtime: %s' % runtime) diff --git a/coral/corner_reflector.py b/coral/corner_reflector.py index 412f71b..d589a78 100644 --- a/coral/corner_reflector.py +++ b/coral/corner_reflector.py @@ -30,19 +30,38 @@ def loop(files, sub_im, cr, targ_win_sz, clt_win_sz): cr_pos = np.array([sub_im, sub_im]) + + # find location of pixel with highest intensity inside target window + # calculate target window bounds + xmin_t = int(np.ceil(cr_pos[0] - targ_win_sz / 2)) + xmax_t = int(np.floor(cr_pos[0] + targ_win_sz / 2 + 1)) + ymin_t = int(np.ceil(cr_pos[1] - targ_win_sz / 2)) + ymax_t = int(np.floor(cr_pos[1] + targ_win_sz / 2 + 1)) + # crop mean intensity matrix to target window size + avgI_t = avgI[ymin_t:ymax_t, xmin_t:xmax_t] + # find matrix position of maximum mean intesity + max_ix = np.unravel_index(np.argmax(avgI_t, axis=None), avgI_t.shape) + # calculate shift w.r.t. central pixel + centre_ix = (targ_win_sz - 1) / 2 + shift = np.array([max_ix[1] - centre_ix, max_ix[0] - centre_ix], dtype=int) + # updated cr position + cr_new = cr + shift + # also update cr_pos accordingly + cr_pos = cr_pos + shift + + # calculate target energy En, Ncr = calc_integrated_energy(d, cr_pos, targ_win_sz) # calculate clutter energy for window centred in same spot as target window E1, N1 = calc_integrated_energy(d, cr_pos, clt_win_sz) # calculate average clutter Avg_clt, Eclt, Nclt = calc_clutter_intensity(En, E1, Ncr, N1) - # + # Calculate total energy, signal-to-clutter ratio and radar cross section Ecr = calc_total_energy(Ncr, Nclt, Eclt, En) scr = calc_scr(Ecr, Eclt, Nclt) - rcs = calc_rcs(Ecr, rho_r, rho_a, theta) - return avgI, rcs, scr, Avg_clt, t + return avgI, rcs, scr, Avg_clt, t, cr_new, cr_pos def get_win_bounds(pos, winsz): diff --git a/coral/dataio.py b/coral/dataio.py index dffb622..59ec685 100644 --- a/coral/dataio.py +++ b/coral/dataio.py @@ -74,3 +74,58 @@ def readimg(datafile, sub_im, cr): #print("Number of elements and size of the array is",d.size, d.shape) #d[d==0]= np.nan # convert zeros to nan return d + + +def read_radar_coords(filename): + print("Reading textfile with CR positions...") + site = [] + az = [] + rg = [] + if os.path.isfile(filename) and os.access(filename, os.R_OK): + print("File", filename, "exists and is readable.") + f = open(filename) + lines = f.readlines() + idx = 0 + for line in lines: + # get site name + line = line.strip("\n") + site.append(line.split("\t")[0]) + az.append(line.split("\t")[6]) + rg.append(line.split("\t")[7]) + idx = idx + 1 + print("Radar coordinates at %d sites read" % (idx)) + else: + print("ERROR: Can't read file", filename) + sys.exit() + print() + return site, az, rg + + +def write_radar_coords(filename_init, filename, sites, geom): + print("Writing new CR positions to textfile...") + fout = open(filename,'w') + if os.path.isfile(filename_init) and os.access(filename_init, os.R_OK): + print("File", filename_init, "exists and is readable.") + f = open(filename_init) + lines = f.readlines() + for line in lines: + # get site name + name = line.split("\t")[0] + cr = sites[name] + temp = line.split("\t")[:-2] + temp2 = "\t".join(temp) + if geom == "asc": + out_line = temp2 + "\t" + str(cr[0][1]) + \ + "\t" + str(cr[0][0]) + "\n" + if geom == "desc": + out_line = temp2 + "\t" + str(cr[1][1]) + \ + "\t" + str(cr[1][0]) + "\n" + fout.write(out_line) + else: + print("ERROR: Can't read file", filename_init) + sys.exit() + print() + print("Azimuth and Range number of CR pixels has been written to " + \ + filename + ".") + print() + return diff --git a/coral/plot.py b/coral/plot.py index e040ac8..ca09f73 100644 --- a/coral/plot.py +++ b/coral/plot.py @@ -9,7 +9,7 @@ import numpy as np -def plot_mean_intensity(avgI, cr_pos, targ_win_sz, clt_win_sz, name): +def plot_mean_intensity(avgI, cr_pos, targ_win_sz, clt_win_sz, name, path_out="./"): '''Plot image of mean SAR intensity''' # set black/white colormap for plots cmap = plt.set_cmap('gist_gray') @@ -56,12 +56,17 @@ def plot_mean_intensity(avgI, cr_pos, targ_win_sz, clt_win_sz, name): #fig.set_size_inches(w=6,h=4) # save PNG file - fig.savefig('mean_intensity_%s.png' % name, dpi=300, bbox_inches='tight') - + filename = path_out + "/mean_intensity_" + name + ".png" + fig.savefig(filename, dpi=300, bbox_inches='tight') + + # avoid "RuntimeWarning: More than 20 figures have been opened" + # by closing all open figures + plt.close('all') + return -def plot_rcs_scr(t, rcs, scr, start, end, name): +def plot_rcs_scr(t, rcs, scr, start, end, name, path_out="./"): '''Plot RCS and SCR time series''' fig = plt.figure() ax = fig.add_subplot(1,1,1) @@ -76,15 +81,23 @@ def plot_rcs_scr(t, rcs, scr, start, end, name): plt.title('Corner Reflector response at %s' % name) for label in ax.get_xticklabels(): label.set_rotation(90) - fig.savefig('rcs_scr_%s.png' % name, dpi=300, bbox_inches='tight') + + # save PNG file + filename = path_out + "/rcs_scr_" + name + ".png" + fig.savefig(filename, dpi=300, bbox_inches='tight') + + # avoid "RuntimeWarning: More than 20 figures have been opened" + # by closing all open figures + plt.close('all') return -def plot_clutter(t, clt, start, end, name): + +def plot_clutter(t, clt, start, end, name, geom, path_out="./"): '''Plot average clutter time series''' fig = plt.figure() ax = fig.add_subplot(1,1,1) - plt.plot(t, clt, 'bo-', label='Clutter') + plt.plot(t, clt, 'bo-', label=geom) plt.xlim(start, end) plt.ylim(-16, -2) plt.xlabel('Date') @@ -94,6 +107,66 @@ def plot_clutter(t, clt, start, end, name): plt.title('Average Clutter at %s' % name) for label in ax.get_xticklabels(): label.set_rotation(90) - fig.savefig('clutter_%s.png' % name, dpi=300, bbox_inches='tight') + + # save PNG file + filename = path_out + "/clutter_" + name + ".png" + fig.savefig(filename, dpi=300, bbox_inches='tight') + + # avoid "RuntimeWarning: More than 20 figures have been opened" + # by closing all open figures + plt.close('all') + + return + +def plot_scr(t, scr, start, end, name, geom, path_out="./"): + '''Plot RCS time series''' + fig = plt.figure() + ax = fig.add_subplot(1,1,1) + plt.plot(t, scr, 'bo-', label=geom) + plt.xlim(start, end) + plt.ylim(0, 35) + plt.xlabel('Date') + plt.ylabel('SCR (dB)') + plt.legend(loc=4) + plt.grid(True) + plt.title('Signal to Clutter Ratio at site %s' % name) + for label in ax.get_xticklabels(): + label.set_rotation(90) + + # save PNG file + filename = path_out + "/scr_" + name + ".png" + fig.savefig(filename, dpi=300, bbox_inches='tight') + + # avoid "RuntimeWarning: More than 20 figures have been opened" + # by closing all open figures + plt.close('all') + + return + + +def plot_rcs(t, rcs, start, end, name, geom, path_out="./"): + '''Plot RCS time series''' + fig = plt.figure() + ax = fig.add_subplot(1,1,1) + plt.plot(t, rcs, 'bo-', label=geom) + plt.xlim(start, end) + plt.ylim(0, 35) + plt.xlabel('Date') + plt.ylabel('RCS (dB$\mathregular{m^2}$)') + plt.legend(loc=4) + plt.grid(True) + plt.title('Radar Cross Section at site %s' % name) + for label in ax.get_xticklabels(): + label.set_rotation(90) + + # save PNG file + filename = path_out + "/rcs_" + name + ".png" + fig.savefig(filename, dpi=300, bbox_inches='tight') + + # avoid "RuntimeWarning: More than 20 figures have been opened" + # by closing all open figures + plt.close('all') + return + diff --git a/coral/plot2.py b/coral/plot2.py new file mode 100644 index 0000000..0902a6c --- /dev/null +++ b/coral/plot2.py @@ -0,0 +1,153 @@ +""" +This python module contains functions for plotting CoRAL output +""" +import matplotlib +matplotlib.use('Agg') +from matplotlib import pyplot as plt +from matplotlib.patches import RegularPolygon +from matplotlib.colors import LogNorm +import numpy as np + + +def plot_mean_intensity2(avgI_a, avgI_d, cr_pos_a, cr_pos_d, targ_win_sz, clt_win_sz, name, path_out="./"): + '''Plot image of mean SAR intensity''' + # set black/white colormap for plots + cmap = plt.set_cmap('gist_gray') + + # draw new plot + fig, (ax1, ax2) = plt.subplots(1, 2, sharey=True, figsize=(14,5)) + axlist = [ax1, ax2] + im1 = ax1.matshow(avgI_d, vmin=-20, vmax=10, cmap=cmap) + im2 = ax2.matshow(avgI_a, vmin=-20, vmax=10, cmap=cmap) + + # define target window + p1 = RegularPolygon(cr_pos_d, 4, (targ_win_sz/2)+2, \ + orientation = np.pi / 4, linewidth=1, \ + edgecolor='r',facecolor='none') + # define clutter window + p2 = RegularPolygon(cr_pos_d, 4, (clt_win_sz/2)+3, \ + orientation = np.pi / 4, linewidth=1, \ + edgecolor='y',facecolor='none') + # define target window + p3 = RegularPolygon(cr_pos_a, 4, (targ_win_sz/2)+2, \ + orientation = np.pi / 4, linewidth=1, \ + edgecolor='r',facecolor='none') + # define clutter window + p4 = RegularPolygon(cr_pos_a, 4, (clt_win_sz/2)+3, \ + orientation = np.pi / 4, linewidth=1, \ + edgecolor='y',facecolor='none') + # add windows to plot + ax1.add_patch(p1) + ax1.add_patch(p2) + ax2.add_patch(p3) + ax2.add_patch(p4) + + # add text labels + ax1.text(45, 42, name, color='w', fontsize=10) + ax2.text(45, 42, name, color='w', fontsize=10) + # plot labels + ax1.set_xlabel('Range') + ax2.set_xlabel('Range') + ax1.set_ylabel('Azimuth') + # add colorbar + cbar = fig.colorbar(im1, ax=axlist) + cbar.set_label('dB') + # add title + #fig.set_title('Mean intensity at site %s' % name) + ax1.set_title('Descending') + ax2.set_title('Ascending') + # x-axis labels at bottom + ax1.xaxis.set_tick_params(labeltop='off', labelbottom='on') + ax2.xaxis.set_tick_params(labeltop='off', labelbottom='on') + + # save PNG file + filename = path_out + "/mean_intensity_" + name + ".png" + fig.savefig(filename, dpi=300, bbox_inches='tight') + + # avoid "RuntimeWarning: More than 20 figures have been opened" + # by closing all open figures + plt.close('all') + + return + + +def plot_clutter2(t_a, t_d, clt_a, clt_d, start, end, name, path_out="./"): + '''Plot average clutter time series''' + fig = plt.figure() + ax = fig.add_subplot(1,1,1) + plt.plot(t_a, clt_a, 'ro-', label='Asc') + plt.plot(t_d, clt_d, 'bo-', label='Desc') + plt.xlim(start, end) + plt.ylim(-16, -2) + plt.xlabel('Date') + plt.ylabel('Average Clutter (dB)') + plt.legend(loc=1) + plt.grid(True) + plt.title('Average Clutter at site %s' % name) + for label in ax.get_xticklabels(): + label.set_rotation(90) + + # save PNG file + filename = path_out + "/clutter_" + name + ".png" + fig.savefig(filename, dpi=300, bbox_inches='tight') + + # avoid "RuntimeWarning: More than 20 figures have been opened" + # by closing all open figures + plt.close('all') + + return + + +def plot_scr2(t_a, t_d, scr_a, scr_d, start, end, name, path_out="./"): + '''Plot RCS time series''' + fig = plt.figure() + ax = fig.add_subplot(1,1,1) + plt.plot(t_a, scr_a, 'ro-', label='Ascending') + plt.plot(t_d, scr_d, 'bo-', label='Descending') + plt.xlim(start, end) + plt.ylim(0, 35) + plt.xlabel('Date') + plt.ylabel('SCR (dB)') + plt.legend(loc=4) + plt.grid(True) + plt.title('Signal to Clutter Ratio at site %s' % name) + for label in ax.get_xticklabels(): + label.set_rotation(90) + + # save PNG file + filename = path_out + "/scr_" + name + ".png" + fig.savefig(filename, dpi=300, bbox_inches='tight') + + # avoid "RuntimeWarning: More than 20 figures have been opened" + # by closing all open figures + plt.close('all') + + return + + +def plot_rcs2(t_a, t_d, rcs_a, rcs_d, start, end, name, path_out="./"): + '''Plot RCS time series''' + fig = plt.figure() + ax = fig.add_subplot(1,1,1) + plt.plot(t_a, rcs_a, 'ro-', label='Ascending') + plt.plot(t_d, rcs_d, 'bo-', label='Descending') + plt.xlim(start, end) + plt.ylim(0, 35) + plt.xlabel('Date') + plt.ylabel('RCS (dB$\mathregular{m^2}$)') + plt.legend(loc=4) + plt.grid(True) + plt.title('Radar Cross Section at site %s' % name) + for label in ax.get_xticklabels(): + label.set_rotation(90) + + # save PNG file + filename = path_out + "/rcs_" + name + ".png" + fig.savefig(filename, dpi=300, bbox_inches='tight') + + # avoid "RuntimeWarning: More than 20 figures have been opened" + # by closing all open figures + plt.close('all') + + return + diff --git a/tests/test_coral.py b/tests/test_coral.py index f1a1747..6ccfc54 100644 --- a/tests/test_coral.py +++ b/tests/test_coral.py @@ -132,7 +132,7 @@ def setUpClass(cls): def test_loop(self): '''test the calculation loop function''' - avgI, rcs, scr, Avg_clt, t = loop(self.files, self.sub_im, self.cr, self.targ_win_sz, self.clt_win_sz) + avgI, rcs, scr, Avg_clt, t, cr_new, cr_pos = loop(self.files, self.sub_im, self.cr, self.targ_win_sz, self.clt_win_sz) # test the mean value of the average intensity image self.assertEqual(round(np.mean(avgI), 6), -11.385613) # -11.385613198856245 @@ -153,7 +153,7 @@ def setUpClass(cls): def test_loop(self): '''test the calculation loop function''' - avgI, rcs, scr, Avg_clt, t = loop(self.files, self.sub_im, self.cr, self.targ_win_sz, self.clt_win_sz) + avgI, rcs, scr, Avg_clt, t, cr_new, cr_pos = loop(self.files, self.sub_im, self.cr, self.targ_win_sz, self.clt_win_sz) # test the mean value of the average intensity image self.assertEqual(round(np.mean(avgI), 6), -11.385613) # -11.385613198856245 From ca79bac135beee667a1bf55fbf0bf7f53c3bb057 Mon Sep 17 00:00:00 2001 From: Thomas Fuhrmann Date: Fri, 17 Apr 2020 17:30:05 +1000 Subject: [PATCH 06/33] added script to convert CR lat/lon into radar coordinates, using absolute path to GAMMA track directory --- get_CR_position_rdc.py | 215 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 215 insertions(+) create mode 100644 get_CR_position_rdc.py diff --git a/get_CR_position_rdc.py b/get_CR_position_rdc.py new file mode 100644 index 0000000..334187f --- /dev/null +++ b/get_CR_position_rdc.py @@ -0,0 +1,215 @@ +""" +Main script +- converts lat/lon coordinates of corner reflectors into azimuth and range + pixel positions +- can be run after SLC images have been coregistered to a DEM and + lat/lon coordinates have been derived (using calc_lat_lon_TxxxX) + +INPUT: +txtfile: CR_site_lon_lat_hgt_date.txt located in ../GAMMA/TxxxX/ + *sar_latlon.txt file containing lon/lat values, located in ../GAMMA/TxxxX/DEM + ./DEM/diff*.par file containing length/width of radar-coded DEM, located in ../GAMMA/TxxxX/DEM + +OUTPUT: +textfile: CR_site_lon_lat_hgt_date_az_rg.txt + same as Input file with two columns added containing + azimuth and range position of central pixel at CR location + +@author: Thomas Fuhrmann @ GA June, 2018 + +usage: +this script is currently located and executed in the TxxxX directory +Load python3 module on NCI: module load python3 +then execute, e.g.: python3 get_CR_position_rdc.py +for effective parallel processing and if memory is exceeded, start an interactive session: +qsub -I -q express -lstorage=gdata/dg9,walltime=1:00:00,mem=32Gb,ncpus=7,wd +""" + + +# import modules +import sys +import os +import os.path +import math +import fnmatch +import numpy as np +# for parallel processing: module joblib has to be installed +from joblib import Parallel, delayed +import multiprocessing + + +####################### +### Path and file names +####################### +# give general processing path here +io_path = "/g/data/dg9/INSAR_ANALYSIS/CAMDEN/S1/GAMMA/T147D/" +# note that the GAMMA "DEM" folder is assumed inside this path +dem_path = io_path + "DEM/" +# give name of CR input file consisting of site name, longitude, latitude (+ optional column fields) +cr_filename = "CR_site_lon_lat_hgt_date1_date2.txt" +# name of CR output file (automatic naming): +cr_filename_out = cr_filename[:-4] + "_az_rg_initial.txt" +######## +# set number of processors here: +nCPU = 7 +######## + + + +# Welome +print() +print("########################################") +print("# Get CR position in radar-coordinates #") +print("########################################") + +print() + + +# Read CR_site_lon_lat_hgt_date1_date2.txt +print("Reading textfile with CR positions (latitude longitude height date)\ +...") +filename_in = io_path + cr_filename +if os.path.isfile(filename_in) and os.access(filename_in, os.R_OK): + print("File", filename_in, "exists and is readable.") + f = open(filename_in) + sites = f.readlines() + sites[:] = [line.split("\t")[0] for line in sites] + f = open(filename_in) + lons = f.readlines() + lons[:] = [float(line.split("\t")[1]) for line in lons] + f = open(filename_in) + lats = f.readlines() + lats[:] = [float(line.split("\t")[2]) for line in lats] +else: + print("ERROR: Can't read file", filename) + sys.exit() +print() + + +# Read diff.par file +for file in os.listdir(dem_path): + if fnmatch.fnmatch(file, "diff*.par"): + filename = dem_path + file + if os.path.isfile(filename) and os.access(filename, os.R_OK): + f = open(filename) + lines = f.readlines() + for line in lines: + if "range_samp_1" in line: + width = int(line.split()[1]) + if "az_samp_1" in line: + length = int(line.split()[1]) + else: + print("ERROR: Can't read file", filename) + sys.exit() +print("Width of radar-coded data (i.e. number of range samples):", width) +print("Length of radar-coded data (i.e. number of azimuth lines):", length) +print() + + +# Read lat/lon coordinate file +for file in os.listdir(dem_path): + if fnmatch.fnmatch(file, "*sar_latlon.txt"): + filename = dem_path + file + if os.path.isfile(filename) and os.access(filename, os.R_OK): + print("File", filename, "exists and is readable.") + else: + print("ERROR: Can't read file", filename) + sys.exit() +print() + + +# Convert lat/lon diff to metric using the CR lat/lon values +# Constants +a = 6378137 +f = 0.0033528107 +e2 = 1/(1-f)**2-1 +c = a*math.sqrt(1+e2) + + +def _inner(cr): + lonCR = cr[0][0] + latCR = cr[0][1] + f = open(filename) + lines = f.readlines() + dist_sq_min = 999 # in deg + az = 0 + rg = 0 + for line in lines: + lat = float(line.split(" ")[0]) + lon = float(line.split(" ")[1]) + dist_sq = (lon-lonCR)**2 + (lat-latCR)**2 + if dist_sq < dist_sq_min: + dist_sq_min = dist_sq + az_CR = az + rg_CR = rg + if rg < width-1: + rg = rg + 1 + else: + rg = 0 + az = az + 1 + # save az and rg coordinates to list + #az_CRs.append(az_CR) + #rg_CRs.append(rg_CR) + # print distance of pixel coordinate to CR coordinate + dist_min = math.sqrt(dist_sq_min) + V = math.sqrt((1+(e2*math.cos(latCR/180*math.pi)**2))) + N = c/V + M = c/V**3 + dist_min_m = dist_min/180*math.pi*math.sqrt(M*N) + print("Pixel with minimum distance to CR location is:") + print("azimuth: %d, range: %d" % (az_CR, rg_CR)) + print("Distance is %8.6f degree or %3.1f m" % (dist_min, dist_min_m)) + return az_CR, rg_CR +print() + + +################################## +# function for parallel loop processing +keys = sites +values = (np.array([[lons[i], lats[i]]], dtype=float) \ + for i in range(0,len(sites))) +sites = dict(zip(keys, values)) +names = sites.keys() +# note that dictionaries are unsorted and the variable name is hence not ordered +def processInput(name): + cr = sites[name] + az, rg = _inner(cr) + return az, rg + +# parallel processing of MLI read and RCS, SCR calculation +num_cores = multiprocessing.cpu_count() +# num_cores results in 32 on the NCI which in turn results in an error +# hence the number of 16 cores is hard-coded here +results = Parallel(n_jobs=nCPU)(delayed(processInput)(name) for name in names) +az_CRs = [] +rg_CRs = [] +for i in range(0,len(names)): + az_CRs.append(results[i][0]) + rg_CRs.append(results[i][1]) +# print(az_CRs) +# print(rg_CRs) + +# save the range and azimuth numbers of pixels in a new txt file +print("Reading textfile with CR positions (latitude longitude height date)\ +...") +filename_out = io_path + cr_filename_out +fout = open(filename_out,'w') +if os.path.isfile(filename_in) and os.access(filename_in, os.R_OK): + print("File", filename_in, "exists and is readable.") + f = open(filename_in) + lines = f.readlines() + idx = 0 + for line in lines: + out_line = line.strip("\n") + "\t" + str(az_CRs[idx]) + "\t" + \ + str(rg_CRs[idx]) + "\n" + fout.write(out_line) + idx = idx + 1 +else: + print("ERROR: Can't read file", filename_in) + sys.exit() +fout.close() +print() +print("Azimuth and Range number of CR pixels has been written to " + \ +filename_out + ".") +print() + From 2a4cafb11db2e6d998ba8f240be0c00dddedadb6 Mon Sep 17 00:00:00 2001 From: Thomas Fuhrmann Date: Mon, 20 Apr 2020 11:31:44 +1000 Subject: [PATCH 07/33] added unit tests for new functionality, minor changes to read/write functions for CR coordinate file --- coral/dataio.py | 11 +++-- data/site_az_rg.txt | 1 + data/site_lat_lon_hgt_date1_date2_az_rg.txt | 1 + tests/test_coral.py | 55 ++++++++++++++++++++- 4 files changed, 63 insertions(+), 5 deletions(-) create mode 100644 data/site_az_rg.txt create mode 100644 data/site_lat_lon_hgt_date1_date2_az_rg.txt diff --git a/coral/dataio.py b/coral/dataio.py index 59ec685..922c37f 100644 --- a/coral/dataio.py +++ b/coral/dataio.py @@ -5,7 +5,7 @@ import numpy as np import rasterio as rio from rasterio.windows import Window -import os +import sys, os def readfile(file, sub_im, cr): @@ -90,10 +90,11 @@ def read_radar_coords(filename): # get site name line = line.strip("\n") site.append(line.split("\t")[0]) - az.append(line.split("\t")[6]) - rg.append(line.split("\t")[7]) - idx = idx + 1 + az.append(line.split("\t")[-2]) + rg.append(line.split("\t")[-1]) + idx = idx + 1 print("Radar coordinates at %d sites read" % (idx)) + f.close() else: print("ERROR: Can't read file", filename) sys.exit() @@ -121,6 +122,8 @@ def write_radar_coords(filename_init, filename, sites, geom): out_line = temp2 + "\t" + str(cr[1][1]) + \ "\t" + str(cr[1][0]) + "\n" fout.write(out_line) + f.close() + fout.close() else: print("ERROR: Can't read file", filename_init) sys.exit() diff --git a/data/site_az_rg.txt b/data/site_az_rg.txt new file mode 100644 index 0000000..79fa383 --- /dev/null +++ b/data/site_az_rg.txt @@ -0,0 +1 @@ +SERF 110 87 \ No newline at end of file diff --git a/data/site_lat_lon_hgt_date1_date2_az_rg.txt b/data/site_lat_lon_hgt_date1_date2_az_rg.txt new file mode 100644 index 0000000..5827add --- /dev/null +++ b/data/site_lat_lon_hgt_date1_date2_az_rg.txt @@ -0,0 +1 @@ +SERF -12.34 123.45 67.89 20180701 99999999 110 87 \ No newline at end of file diff --git a/tests/test_coral.py b/tests/test_coral.py index 6ccfc54..adeecbc 100644 --- a/tests/test_coral.py +++ b/tests/test_coral.py @@ -5,7 +5,7 @@ import os.path import numpy as np from coral.corner_reflector import * -from coral.dataio import readpar, readmli +from coral.dataio import readpar, readmli, read_radar_coords, write_radar_coords class TestCoral(unittest.TestCase): @classmethod @@ -157,6 +157,59 @@ def test_loop(self): # test the mean value of the average intensity image self.assertEqual(round(np.mean(avgI), 6), -11.385613) # -11.385613198856245 + + +class TestShift(unittest.TestCase): + @classmethod + def setUpClass(cls): + cls.files = [] + for file in glob.glob("data/*.mli"): + cls.files.append(file) + + cls.files.sort() + cls.sub_im = 51 + cls.targ_win_sz = 5 + cls.clt_win_sz = 9 + cls.cr = [ 86, 111] # coordinates changed to check shift + + def test_loop(self): + '''test the coordinate shift''' + avgI, rcs, scr, Avg_clt, t, cr_new, cr_pos = loop(self.files, self.sub_im, self.cr, self.targ_win_sz, self.clt_win_sz) + + # test array containing values of shift to be applied to radar coordinates + self.assertEqual(cr_pos[0], 52) + self.assertEqual(cr_pos[1], 50) + + +class TestCRfiles(unittest.TestCase): + @classmethod + def setUpClass(cls): + cls.file_in1 = "data/site_az_rg.txt" + cls.file_in2 = "data/site_lat_lon_hgt_date1_date2_az_rg.txt" + cls.file_out1 = "data/site_az_rg_new.txt" + cls.file_out2 = "data/site_lat_lon_hgt_date1_date2_az_rg_new.txt" + cls.sites = {'SERF' : np.array([[-999, -999],[ 87, 110]])} + cls.geom = "desc" + + def test_cr_file(self): + '''test the calculation loop function''' + # open reduced CR coordinate file + site, az, rg = read_radar_coords(self.file_in1) + self.assertEqual(int(rg[0]), 87) + self.assertEqual(int(az[0]), 110) + # write to new file + write_radar_coords(self.file_in1, self.file_out1, self.sites, self.geom) + assert os.path.exists(self.file_out1) == 1 + os.remove(self.file_out1) + + # open full CR coordinate file + site, az, rg = read_radar_coords(self.file_in2) + self.assertEqual(int(rg[0]), 87) + self.assertEqual(int(az[0]), 110) + # write to new file + write_radar_coords(self.file_in2, self.file_out2, self.sites, self.geom) + assert os.path.exists(self.file_out2) == 1 + os.remove(self.file_out2) if __name__ == '__main__': From f2258105f7afbf5d4f73f30481939795c1eb21e2 Mon Sep 17 00:00:00 2001 From: Thomas Fuhrmann Date: Wed, 15 Apr 2020 09:58:17 +1000 Subject: [PATCH 08/33] changed "python" to "python3" under "### Testing" the unit test command doesn't work with "python" only (at least on Gadi). --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index f5511d2..f011592 100644 --- a/README.md +++ b/README.md @@ -43,7 +43,7 @@ A Jupyter notebook is included in the package that demonstrates an example CoRAL To run unit tests from within CoRAL repository directory: -```python -m unittest discover tests/``` +```python3 -m unittest discover tests/``` ### License From 59316cc67c93bfb696ff60bce535a848556c506c Mon Sep 17 00:00:00 2001 From: Thomas Fuhrmann Date: Thu, 16 Apr 2020 13:37:06 +1000 Subject: [PATCH 09/33] added functionality to read and update CR coordinates, handling of asc/desc data sets (incl. plotting), example main scripts to process RSAT2/S1 Camden data in a given dir (using parallel processing) --- Calc_CR_response.py | 6 +- Calc_CR_response_CamdenRSAT2.py | 279 ++++++++++++++++++++++++++++++++ Calc_CR_response_CamdenS1.py | 279 ++++++++++++++++++++++++++++++++ coral/corner_reflector.py | 25 ++- coral/dataio.py | 55 +++++++ coral/plot.py | 89 +++++++++- coral/plot2.py | 153 ++++++++++++++++++ tests/test_coral.py | 4 +- 8 files changed, 873 insertions(+), 17 deletions(-) create mode 100644 Calc_CR_response_CamdenRSAT2.py create mode 100644 Calc_CR_response_CamdenS1.py create mode 100644 coral/plot2.py diff --git a/Calc_CR_response.py b/Calc_CR_response.py index 196a76c..db103d8 100644 --- a/Calc_CR_response.py +++ b/Calc_CR_response.py @@ -39,9 +39,7 @@ for name, cr in sites.items(): print(name,'is desc',cr[0]) - avgI, rcs, scr, Avg_clt, t = loop(files, sub_im, cr[0], targ_win_sz, clt_win_sz) - - cr_pos = np.array([sub_im, sub_im]) + avgI, rcs, scr, Avg_clt, t, cr_new, cr_pos = loop(files, sub_im, cr[0], targ_win_sz, clt_win_sz) # Plot mean intensity image plot_mean_intensity(avgI, cr_pos, targ_win_sz, clt_win_sz, name) @@ -50,6 +48,6 @@ plot_rcs_scr(t, rcs, scr, start, end, name) # Plot average clutter time series - plot_clutter(t, Avg_clt, start, end, name) + plot_clutter(t, Avg_clt, start, end, name, "Descending") diff --git a/Calc_CR_response_CamdenRSAT2.py b/Calc_CR_response_CamdenRSAT2.py new file mode 100644 index 0000000..1b7bbce --- /dev/null +++ b/Calc_CR_response_CamdenRSAT2.py @@ -0,0 +1,279 @@ +""" +Ths is an example python script for running CoRAL analysis + +Example command line usage: python3 Calc_CR_response_config.py +""" +import glob +import numpy as np +from datetime import datetime +from coral.corner_reflector import loop +from coral.dataio import read_radar_coords, write_radar_coords +from coral.plot import * +from coral.plot2 import * +# for parallel processing: module joblib needs to be installed: +# e.g.: pip install --user joblib +from joblib import Parallel, delayed +import multiprocessing +import sys, os, os.path + + +##################### +### Config parameters +##################### +# data directories for ascending and/or descending data paths (use "-" if geometry doesn't exist) +data_path_asc = "/g/data/dg9/INSAR_ANALYSIS/CAMDEN/RSAT2/GAMMA/T246A" +data_path_desc = "/g/data/dg9/INSAR_ANALYSIS/CAMDEN/RSAT2/GAMMA/T081D" + +# convention for for filenames of intensity images within the given data paths +file_name_conv = "/SLC/20*/r*2rlks.mli" + +# name of file containing initial radar coordinates of CRs (located in the asc/desc data_path directory) +cr_file_name = "/CR_site_lon_lat_hgt_date1_date2_az_rg_initial.txt" +# name of file to write updated radar coordinates of CRs (located in the asc/desc data_path directory) +cr_file_name_new = "/CR_site_lon_lat_hgt_date1_date2_az_rg.txt" + +# output directory +path_out = "/g/data/dg9/INSAR_ANALYSIS/CAMDEN/RSAT2/GAMMA/CoRAL_output" + +# target window +targ_win_sz = 5 # for multi-looked data (factor 2) +# targ_win_sz = 7 # for full-resolution data +# clutter window +clt_win_sz = 11 +# clt_win_sz = 15 # for full-resolution data +# give cropped image size (for plotting) +sub_im = 51 +##################### +### Config parameters +##################### + + +# Start the processing +print(' ') +print('Running CoRAL...') +print(' ') +# used to calculate runtime +run_start = datetime.now() + +# if - is given as datapath, this geometry is not used +if data_path_asc == "-": + asc_track_files = "" +else: + asc_track_files = data_path_asc + file_name_conv +if data_path_desc == "-": + desc_track_files = "" +else: + desc_track_files = data_path_desc + file_name_conv + + +# Get list of image files in asc/desc directories +if asc_track_files: + print('Ascending data set given...') + files_a = [] + for file in glob.glob(asc_track_files): + files_a.append(file) + files_a.sort() + # read initial radar coordinates of CRs + filename = data_path_asc + cr_file_name + sites_a, az_a, rg_a = read_radar_coords(filename) +if desc_track_files: + print('Descending data set given...') + files_d = [] + for file in glob.glob(desc_track_files): + files_d.append(file) + files_d.sort() +# read initial radar coordinates of CRs + filename = data_path_desc + cr_file_name + sites_d, az_d, rg_d = read_radar_coords(filename) + + +# check if CR files have the same length +if asc_track_files and desc_track_files: + if sites_a == sites_d: + print("CR files for asc and desc tracks contain same set of sites.") + keys = sites_a + values = (np.array([[rg_a[i], az_a[i]],[rg_d[i], az_d[i]]], dtype=int) \ + for i in range(0, len(sites_a))) + else: + print("ERROR: different CR sites given for asc and desc track.") + sys.exit() + print(' ') +elif asc_track_files and not desc_track_files: + keys = sites_a + values = (np.array([[rg_a[i], az_a[i]],[-999, -999]], dtype=int) \ + for i in range(0, len(sites_a))) +elif desc_track_files and not asc_track_files: + keys = sites_d + values = (np.array([[-999, -999],[rg_d[i], az_d[i]]], dtype=int) \ + for i in range(0, len(sites_d))) + +sites = dict(zip(keys, values)) + + +################################## +# function for parallel loop processing +names = sites.keys() +# note that dictionaries are unsorted and the variable name is hence not ordered +def processInput(name): + + cr = sites[name] + + if asc_track_files: + avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a, cr_pos_a = loop(files_a, sub_im, cr[0], targ_win_sz, clt_win_sz) + if desc_track_files: + avgI_d, rcs_d, scr_d, clt_d, t_d, cr_new_d, cr_pos_d = loop(files_d, sub_im, cr[1], targ_win_sz, clt_win_sz) + + if asc_track_files and desc_track_files: + return name, cr_pos_a, avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a, \ + cr_pos_d, avgI_d, rcs_d, scr_d, clt_d, t_d, cr_new_d + elif asc_track_files and not desc_track_files: + return name, cr_pos_a, avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a + elif desc_track_files and not asc_track_files: + return name, cr_pos_d, avgI_d, rcs_d, scr_d, clt_d, t_d, cr_new_d + + +# parallel processing of MLI read and RCS, SCR calculation +num_cores = multiprocessing.cpu_count() +# num_cores results in 32 on the NCI which in turn results in an error +# hence the number of 16 cores is hard-coded here +results = Parallel(n_jobs=16)(delayed(processInput)(name) for name in names) + + +# extract results and plot images + +# create output dir if it doesn't exist +if not os.path.exists(path_out): + os.makedirs(path_out) + +print(' ') +print('Creating output data...') +print(' ') +for i in range(0, len(names)): + + # ascending and descending CRs in one plot + if asc_track_files and desc_track_files: + # read result arrays of parallel function, both geometries + name = results[i][0] + cr_pos_a = results[i][1] + avgI_a = results[i][2] + rcs_a = results[i][3] + scr_a = results[i][4] + clt_a = results[i][5] + t_a = results[i][6] + cr_new_a = results[i][7] + cr_pos_d = results[i][8] + avgI_d = results[i][9] + rcs_d = results[i][10] + scr_d = results[i][11] + clt_d = results[i][12] + t_d = results[i][13] + cr_new_d = results[i][14] + + # add new coords to sites dictionary + cr = np.array([cr_new_a, cr_new_d]) + sites[name] = cr + + # Visualisation + print('Site %s' % name) + # Plot mean intensity image + plot_mean_intensity2(avgI_a, avgI_d, cr_pos_a, cr_pos_d, targ_win_sz, clt_win_sz, name, path_out) + + # extract start and end date + start_time = min(t_a[0], t_d[0]) + end_time = max(t_a[-1], t_d[-1]) + margin = (end_time - start_time)/50 + start = start_time - margin + end = end_time + margin + + # Plot average clutter time series + plot_clutter2(t_a, t_d, clt_a, clt_d, start, end, name, path_out) + # Plot scr time series + plot_scr2(t_a, t_d, scr_a, scr_d, start, end, name, path_out) + # Plot rcs time series + plot_rcs2(t_a, t_d, rcs_a, rcs_d, start, end, name, path_out) + + # write RCS data to file + filename_out = path_out + "/rcs_values_" + name + "_" + "Ascending.txt" + fout = open(filename_out,'w') + for time, value in zip(t_a,rcs_a): + timestr = time.strftime("%Y%m%d") + fout.write("%s %f\n" % (timestr, value)) + fout.close() + filename_out = path_out + "/rcs_values_" + name + "_" + "Descending.txt" + fout = open(filename_out,'w') + for time, value in zip(t_d,rcs_d): + timestr = time.strftime("%Y%m%d") + fout.write("%s %f\n" % (timestr, value)) + fout.close() + + # one geometry (ascending or descending) + else: + # read result arrays of parallel function, one geometry + name = results[i][0] + cr_pos = results[i][1] + avgI = results[i][2] + rcs = results[i][3] + scr = results[i][4] + clt = results[i][5] + t = results[i][6] + cr_new = results[i][7] + + # add new coords to sites dictionary + if asc_track_files: + geom='Ascending' + cr = np.array([cr_new, [-999, -999]]) + if desc_track_files: + geom='Descending' + cr = np.array([[-999, -999], cr_new]) + sites[name] = cr + + + # Visualisation + print('Site %s' % name) + # Plot mean intensity image + plot_mean_intensity(avgI, cr_pos, targ_win_sz, clt_win_sz, name, path_out) + + # extract start and end date + start_time = t[0] + end_time = t[-1] + margin = (end_time - start_time)/50 + start = start_time - margin + end = end_time + margin + + # Plot average clutter time series + plot_clutter(t, clt, start, end, name, geom, path_out) + # Plot scr time series + plot_scr(t, scr, start, end, name, geom, path_out) + # Plot rcs time series + plot_rcs(t, rcs, start, end, name, geom, path_out) + # Plot RCS_SCR time series + plot_rcs_scr(t, rcs, scr, start, end, name, path_out) + + + # write RCS data to file + filename_out = path_out + "/rcs_values_" + name + "_" + geom + ".txt" + fout = open(filename_out,'w') + for time, value in zip(t,rcs): + timestr = time.strftime("%Y%m%d") + fout.write("%s %f\n" % (timestr, value)) + fout.close() + + +# write updated radar coordinates to a new file +print(' ') +if asc_track_files: + # new file with updated radar coordinates of CRs + filename_init = data_path_asc + cr_file_name + filename = data_path_asc + cr_file_name_new + write_radar_coords(filename_init, filename, sites, "asc") +if desc_track_files: + # new file with updated radar coordinates of CRs + filename_init = data_path_desc + cr_file_name + filename = data_path_desc + cr_file_name_new + write_radar_coords(filename_init, filename, sites, "desc") + + +# print out runtime +runtime = datetime.now() - run_start +print(' ') +print('Runtime: %s' % runtime) diff --git a/Calc_CR_response_CamdenS1.py b/Calc_CR_response_CamdenS1.py new file mode 100644 index 0000000..10b7cf5 --- /dev/null +++ b/Calc_CR_response_CamdenS1.py @@ -0,0 +1,279 @@ +""" +Ths is an example python script for running CoRAL analysis + +Example command line usage: python3 Calc_CR_response_config.py +""" +import glob +import numpy as np +from datetime import datetime +from coral.corner_reflector import loop +from coral.dataio import read_radar_coords, write_radar_coords +from coral.plot import * +from coral.plot2 import * +# for parallel processing: module joblib needs to be installed: +# e.g.: pip install --user joblib +from joblib import Parallel, delayed +import multiprocessing +import sys, os, os.path + + +##################### +### Config parameters +##################### +# data directories for ascending and/or descending data paths (use "-" if geometry doesn't exist) +data_path_asc = "-" +data_path_desc = "/g/data/dg9/INSAR_ANALYSIS/CAMDEN/S1/GAMMA/T147D" + +# convention for for filenames of intensity images within the given data paths +file_name_conv = "/SLC/20*/r*8rlks.mli" + +# name of file containing initial radar coordinates of CRs (located in the asc/desc data_path directory) +cr_file_name = "/CR_site_lon_lat_hgt_date1_date2_az_rg_initial.txt" +# name of file to write updated radar coordinates of CRs (located in the asc/desc data_path directory) +cr_file_name_new = "/CR_site_lon_lat_hgt_date1_date2_az_rg.txt" + +# output directory +path_out = "/g/data/dg9/INSAR_ANALYSIS/CAMDEN/S1/GAMMA/CoRAL_output" + +# target window +targ_win_sz = 5 # for multi-looked data (factor 2) +# targ_win_sz = 7 # for full-resolution data +# clutter window +clt_win_sz = 11 +# clt_win_sz = 15 # for full-resolution data +# give cropped image size (for plotting) +sub_im = 51 +##################### +### Config parameters +##################### + + +# Start the processing +print(' ') +print('Running CoRAL...') +print(' ') +# used to calculate runtime +run_start = datetime.now() + +# if - is given as datapath, this geometry is not used +if data_path_asc == "-": + asc_track_files = "" +else: + asc_track_files = data_path_asc + file_name_conv +if data_path_desc == "-": + desc_track_files = "" +else: + desc_track_files = data_path_desc + file_name_conv + + +# Get list of image files in asc/desc directories +if asc_track_files: + print('Ascending data set given...') + files_a = [] + for file in glob.glob(asc_track_files): + files_a.append(file) + files_a.sort() + # read initial radar coordinates of CRs + filename = data_path_asc + cr_file_name + sites_a, az_a, rg_a = read_radar_coords(filename) +if desc_track_files: + print('Descending data set given...') + files_d = [] + for file in glob.glob(desc_track_files): + files_d.append(file) + files_d.sort() +# read initial radar coordinates of CRs + filename = data_path_desc + cr_file_name + sites_d, az_d, rg_d = read_radar_coords(filename) + + +# check if CR files have the same length +if asc_track_files and desc_track_files: + if sites_a == sites_d: + print("CR files for asc and desc tracks contain same set of sites.") + keys = sites_a + values = (np.array([[rg_a[i], az_a[i]],[rg_d[i], az_d[i]]], dtype=int) \ + for i in range(0, len(sites_a))) + else: + print("ERROR: different CR sites given for asc and desc track.") + sys.exit() + print(' ') +elif asc_track_files and not desc_track_files: + keys = sites_a + values = (np.array([[rg_a[i], az_a[i]],[-999, -999]], dtype=int) \ + for i in range(0, len(sites_a))) +elif desc_track_files and not asc_track_files: + keys = sites_d + values = (np.array([[-999, -999],[rg_d[i], az_d[i]]], dtype=int) \ + for i in range(0, len(sites_d))) + +sites = dict(zip(keys, values)) + + +################################## +# function for parallel loop processing +names = sites.keys() +# note that dictionaries are unsorted and the variable name is hence not ordered +def processInput(name): + + cr = sites[name] + + if asc_track_files: + avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a, cr_pos_a = loop(files_a, sub_im, cr[0], targ_win_sz, clt_win_sz) + if desc_track_files: + avgI_d, rcs_d, scr_d, clt_d, t_d, cr_new_d, cr_pos_d = loop(files_d, sub_im, cr[1], targ_win_sz, clt_win_sz) + + if asc_track_files and desc_track_files: + return name, cr_pos_a, avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a, \ + cr_pos_d, avgI_d, rcs_d, scr_d, clt_d, t_d, cr_new_d + elif asc_track_files and not desc_track_files: + return name, cr_pos_a, avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a + elif desc_track_files and not asc_track_files: + return name, cr_pos_d, avgI_d, rcs_d, scr_d, clt_d, t_d, cr_new_d + + +# parallel processing of MLI read and RCS, SCR calculation +num_cores = multiprocessing.cpu_count() +# num_cores results in 32 on the NCI which in turn results in an error +# hence the number of 16 cores is hard-coded here +results = Parallel(n_jobs=16)(delayed(processInput)(name) for name in names) + + +# extract results and plot images + +# create output dir if it doesn't exist +if not os.path.exists(path_out): + os.makedirs(path_out) + +print(' ') +print('Creating output data...') +print(' ') +for i in range(0, len(names)): + + # ascending and descending CRs in one plot + if asc_track_files and desc_track_files: + # read result arrays of parallel function, both geometries + name = results[i][0] + cr_pos_a = results[i][1] + avgI_a = results[i][2] + rcs_a = results[i][3] + scr_a = results[i][4] + clt_a = results[i][5] + t_a = results[i][6] + cr_new_a = results[i][7] + cr_pos_d = results[i][8] + avgI_d = results[i][9] + rcs_d = results[i][10] + scr_d = results[i][11] + clt_d = results[i][12] + t_d = results[i][13] + cr_new_d = results[i][14] + + # add new coords to sites dictionary + cr = np.array([cr_new_a, cr_new_d]) + sites[name] = cr + + # Visualisation + print('Site %s' % name) + # Plot mean intensity image + plot_mean_intensity2(avgI_a, avgI_d, cr_pos_a, cr_pos_d, targ_win_sz, clt_win_sz, name, path_out) + + # extract start and end date + start_time = min(t_a[0], t_d[0]) + end_time = max(t_a[-1], t_d[-1]) + margin = (end_time - start_time)/50 + start = start_time - margin + end = end_time + margin + + # Plot average clutter time series + plot_clutter2(t_a, t_d, clt_a, clt_d, start, end, name, path_out) + # Plot scr time series + plot_scr2(t_a, t_d, scr_a, scr_d, start, end, name, path_out) + # Plot rcs time series + plot_rcs2(t_a, t_d, rcs_a, rcs_d, start, end, name, path_out) + + # write RCS data to file + filename_out = path_out + "/rcs_values_" + name + "_" + "Ascending.txt" + fout = open(filename_out,'w') + for time, value in zip(t_a,rcs_a): + timestr = time.strftime("%Y%m%d") + fout.write("%s %f\n" % (timestr, value)) + fout.close() + filename_out = path_out + "/rcs_values_" + name + "_" + "Descending.txt" + fout = open(filename_out,'w') + for time, value in zip(t_d,rcs_d): + timestr = time.strftime("%Y%m%d") + fout.write("%s %f\n" % (timestr, value)) + fout.close() + + # one geometry (ascending or descending) + else: + # read result arrays of parallel function, one geometry + name = results[i][0] + cr_pos = results[i][1] + avgI = results[i][2] + rcs = results[i][3] + scr = results[i][4] + clt = results[i][5] + t = results[i][6] + cr_new = results[i][7] + + # add new coords to sites dictionary + if asc_track_files: + geom='Ascending' + cr = np.array([cr_new, [-999, -999]]) + if desc_track_files: + geom='Descending' + cr = np.array([[-999, -999], cr_new]) + sites[name] = cr + + + # Visualisation + print('Site %s' % name) + # Plot mean intensity image + plot_mean_intensity(avgI, cr_pos, targ_win_sz, clt_win_sz, name, path_out) + + # extract start and end date + start_time = t[0] + end_time = t[-1] + margin = (end_time - start_time)/50 + start = start_time - margin + end = end_time + margin + + # Plot average clutter time series + plot_clutter(t, clt, start, end, name, geom, path_out) + # Plot scr time series + plot_scr(t, scr, start, end, name, geom, path_out) + # Plot rcs time series + plot_rcs(t, rcs, start, end, name, geom, path_out) + # Plot RCS_SCR time series + plot_rcs_scr(t, rcs, scr, start, end, name, path_out) + + + # write RCS data to file + filename_out = path_out + "/rcs_values_" + name + "_" + geom + ".txt" + fout = open(filename_out,'w') + for time, value in zip(t,rcs): + timestr = time.strftime("%Y%m%d") + fout.write("%s %f\n" % (timestr, value)) + fout.close() + + +# write updated radar coordinates to a new file +print(' ') +if asc_track_files: + # new file with updated radar coordinates of CRs + filename_init = data_path_asc + cr_file_name + filename = data_path_asc + cr_file_name_new + write_radar_coords(filename_init, filename, sites, "asc") +if desc_track_files: + # new file with updated radar coordinates of CRs + filename_init = data_path_desc + cr_file_name + filename = data_path_desc + cr_file_name_new + write_radar_coords(filename_init, filename, sites, "desc") + + +# print out runtime +runtime = datetime.now() - run_start +print(' ') +print('Runtime: %s' % runtime) diff --git a/coral/corner_reflector.py b/coral/corner_reflector.py index 412f71b..d589a78 100644 --- a/coral/corner_reflector.py +++ b/coral/corner_reflector.py @@ -30,19 +30,38 @@ def loop(files, sub_im, cr, targ_win_sz, clt_win_sz): cr_pos = np.array([sub_im, sub_im]) + + # find location of pixel with highest intensity inside target window + # calculate target window bounds + xmin_t = int(np.ceil(cr_pos[0] - targ_win_sz / 2)) + xmax_t = int(np.floor(cr_pos[0] + targ_win_sz / 2 + 1)) + ymin_t = int(np.ceil(cr_pos[1] - targ_win_sz / 2)) + ymax_t = int(np.floor(cr_pos[1] + targ_win_sz / 2 + 1)) + # crop mean intensity matrix to target window size + avgI_t = avgI[ymin_t:ymax_t, xmin_t:xmax_t] + # find matrix position of maximum mean intesity + max_ix = np.unravel_index(np.argmax(avgI_t, axis=None), avgI_t.shape) + # calculate shift w.r.t. central pixel + centre_ix = (targ_win_sz - 1) / 2 + shift = np.array([max_ix[1] - centre_ix, max_ix[0] - centre_ix], dtype=int) + # updated cr position + cr_new = cr + shift + # also update cr_pos accordingly + cr_pos = cr_pos + shift + + # calculate target energy En, Ncr = calc_integrated_energy(d, cr_pos, targ_win_sz) # calculate clutter energy for window centred in same spot as target window E1, N1 = calc_integrated_energy(d, cr_pos, clt_win_sz) # calculate average clutter Avg_clt, Eclt, Nclt = calc_clutter_intensity(En, E1, Ncr, N1) - # + # Calculate total energy, signal-to-clutter ratio and radar cross section Ecr = calc_total_energy(Ncr, Nclt, Eclt, En) scr = calc_scr(Ecr, Eclt, Nclt) - rcs = calc_rcs(Ecr, rho_r, rho_a, theta) - return avgI, rcs, scr, Avg_clt, t + return avgI, rcs, scr, Avg_clt, t, cr_new, cr_pos def get_win_bounds(pos, winsz): diff --git a/coral/dataio.py b/coral/dataio.py index 0611255..a26f293 100644 --- a/coral/dataio.py +++ b/coral/dataio.py @@ -69,3 +69,58 @@ def readtiff(datafile, sub_im, cr): #print("Number of elements and size of the array is",d.size, d.shape) #d[d==0]= np.nan # convert zeros to nan return d + + +def read_radar_coords(filename): + print("Reading textfile with CR positions...") + site = [] + az = [] + rg = [] + if os.path.isfile(filename) and os.access(filename, os.R_OK): + print("File", filename, "exists and is readable.") + f = open(filename) + lines = f.readlines() + idx = 0 + for line in lines: + # get site name + line = line.strip("\n") + site.append(line.split("\t")[0]) + az.append(line.split("\t")[6]) + rg.append(line.split("\t")[7]) + idx = idx + 1 + print("Radar coordinates at %d sites read" % (idx)) + else: + print("ERROR: Can't read file", filename) + sys.exit() + print() + return site, az, rg + + +def write_radar_coords(filename_init, filename, sites, geom): + print("Writing new CR positions to textfile...") + fout = open(filename,'w') + if os.path.isfile(filename_init) and os.access(filename_init, os.R_OK): + print("File", filename_init, "exists and is readable.") + f = open(filename_init) + lines = f.readlines() + for line in lines: + # get site name + name = line.split("\t")[0] + cr = sites[name] + temp = line.split("\t")[:-2] + temp2 = "\t".join(temp) + if geom == "asc": + out_line = temp2 + "\t" + str(cr[0][1]) + \ + "\t" + str(cr[0][0]) + "\n" + if geom == "desc": + out_line = temp2 + "\t" + str(cr[1][1]) + \ + "\t" + str(cr[1][0]) + "\n" + fout.write(out_line) + else: + print("ERROR: Can't read file", filename_init) + sys.exit() + print() + print("Azimuth and Range number of CR pixels has been written to " + \ + filename + ".") + print() + return diff --git a/coral/plot.py b/coral/plot.py index e040ac8..ca09f73 100644 --- a/coral/plot.py +++ b/coral/plot.py @@ -9,7 +9,7 @@ import numpy as np -def plot_mean_intensity(avgI, cr_pos, targ_win_sz, clt_win_sz, name): +def plot_mean_intensity(avgI, cr_pos, targ_win_sz, clt_win_sz, name, path_out="./"): '''Plot image of mean SAR intensity''' # set black/white colormap for plots cmap = plt.set_cmap('gist_gray') @@ -56,12 +56,17 @@ def plot_mean_intensity(avgI, cr_pos, targ_win_sz, clt_win_sz, name): #fig.set_size_inches(w=6,h=4) # save PNG file - fig.savefig('mean_intensity_%s.png' % name, dpi=300, bbox_inches='tight') - + filename = path_out + "/mean_intensity_" + name + ".png" + fig.savefig(filename, dpi=300, bbox_inches='tight') + + # avoid "RuntimeWarning: More than 20 figures have been opened" + # by closing all open figures + plt.close('all') + return -def plot_rcs_scr(t, rcs, scr, start, end, name): +def plot_rcs_scr(t, rcs, scr, start, end, name, path_out="./"): '''Plot RCS and SCR time series''' fig = plt.figure() ax = fig.add_subplot(1,1,1) @@ -76,15 +81,23 @@ def plot_rcs_scr(t, rcs, scr, start, end, name): plt.title('Corner Reflector response at %s' % name) for label in ax.get_xticklabels(): label.set_rotation(90) - fig.savefig('rcs_scr_%s.png' % name, dpi=300, bbox_inches='tight') + + # save PNG file + filename = path_out + "/rcs_scr_" + name + ".png" + fig.savefig(filename, dpi=300, bbox_inches='tight') + + # avoid "RuntimeWarning: More than 20 figures have been opened" + # by closing all open figures + plt.close('all') return -def plot_clutter(t, clt, start, end, name): + +def plot_clutter(t, clt, start, end, name, geom, path_out="./"): '''Plot average clutter time series''' fig = plt.figure() ax = fig.add_subplot(1,1,1) - plt.plot(t, clt, 'bo-', label='Clutter') + plt.plot(t, clt, 'bo-', label=geom) plt.xlim(start, end) plt.ylim(-16, -2) plt.xlabel('Date') @@ -94,6 +107,66 @@ def plot_clutter(t, clt, start, end, name): plt.title('Average Clutter at %s' % name) for label in ax.get_xticklabels(): label.set_rotation(90) - fig.savefig('clutter_%s.png' % name, dpi=300, bbox_inches='tight') + + # save PNG file + filename = path_out + "/clutter_" + name + ".png" + fig.savefig(filename, dpi=300, bbox_inches='tight') + + # avoid "RuntimeWarning: More than 20 figures have been opened" + # by closing all open figures + plt.close('all') + + return + +def plot_scr(t, scr, start, end, name, geom, path_out="./"): + '''Plot RCS time series''' + fig = plt.figure() + ax = fig.add_subplot(1,1,1) + plt.plot(t, scr, 'bo-', label=geom) + plt.xlim(start, end) + plt.ylim(0, 35) + plt.xlabel('Date') + plt.ylabel('SCR (dB)') + plt.legend(loc=4) + plt.grid(True) + plt.title('Signal to Clutter Ratio at site %s' % name) + for label in ax.get_xticklabels(): + label.set_rotation(90) + + # save PNG file + filename = path_out + "/scr_" + name + ".png" + fig.savefig(filename, dpi=300, bbox_inches='tight') + + # avoid "RuntimeWarning: More than 20 figures have been opened" + # by closing all open figures + plt.close('all') + + return + + +def plot_rcs(t, rcs, start, end, name, geom, path_out="./"): + '''Plot RCS time series''' + fig = plt.figure() + ax = fig.add_subplot(1,1,1) + plt.plot(t, rcs, 'bo-', label=geom) + plt.xlim(start, end) + plt.ylim(0, 35) + plt.xlabel('Date') + plt.ylabel('RCS (dB$\mathregular{m^2}$)') + plt.legend(loc=4) + plt.grid(True) + plt.title('Radar Cross Section at site %s' % name) + for label in ax.get_xticklabels(): + label.set_rotation(90) + + # save PNG file + filename = path_out + "/rcs_" + name + ".png" + fig.savefig(filename, dpi=300, bbox_inches='tight') + + # avoid "RuntimeWarning: More than 20 figures have been opened" + # by closing all open figures + plt.close('all') + return + diff --git a/coral/plot2.py b/coral/plot2.py new file mode 100644 index 0000000..0902a6c --- /dev/null +++ b/coral/plot2.py @@ -0,0 +1,153 @@ +""" +This python module contains functions for plotting CoRAL output +""" +import matplotlib +matplotlib.use('Agg') +from matplotlib import pyplot as plt +from matplotlib.patches import RegularPolygon +from matplotlib.colors import LogNorm +import numpy as np + + +def plot_mean_intensity2(avgI_a, avgI_d, cr_pos_a, cr_pos_d, targ_win_sz, clt_win_sz, name, path_out="./"): + '''Plot image of mean SAR intensity''' + # set black/white colormap for plots + cmap = plt.set_cmap('gist_gray') + + # draw new plot + fig, (ax1, ax2) = plt.subplots(1, 2, sharey=True, figsize=(14,5)) + axlist = [ax1, ax2] + im1 = ax1.matshow(avgI_d, vmin=-20, vmax=10, cmap=cmap) + im2 = ax2.matshow(avgI_a, vmin=-20, vmax=10, cmap=cmap) + + # define target window + p1 = RegularPolygon(cr_pos_d, 4, (targ_win_sz/2)+2, \ + orientation = np.pi / 4, linewidth=1, \ + edgecolor='r',facecolor='none') + # define clutter window + p2 = RegularPolygon(cr_pos_d, 4, (clt_win_sz/2)+3, \ + orientation = np.pi / 4, linewidth=1, \ + edgecolor='y',facecolor='none') + # define target window + p3 = RegularPolygon(cr_pos_a, 4, (targ_win_sz/2)+2, \ + orientation = np.pi / 4, linewidth=1, \ + edgecolor='r',facecolor='none') + # define clutter window + p4 = RegularPolygon(cr_pos_a, 4, (clt_win_sz/2)+3, \ + orientation = np.pi / 4, linewidth=1, \ + edgecolor='y',facecolor='none') + # add windows to plot + ax1.add_patch(p1) + ax1.add_patch(p2) + ax2.add_patch(p3) + ax2.add_patch(p4) + + # add text labels + ax1.text(45, 42, name, color='w', fontsize=10) + ax2.text(45, 42, name, color='w', fontsize=10) + # plot labels + ax1.set_xlabel('Range') + ax2.set_xlabel('Range') + ax1.set_ylabel('Azimuth') + # add colorbar + cbar = fig.colorbar(im1, ax=axlist) + cbar.set_label('dB') + # add title + #fig.set_title('Mean intensity at site %s' % name) + ax1.set_title('Descending') + ax2.set_title('Ascending') + # x-axis labels at bottom + ax1.xaxis.set_tick_params(labeltop='off', labelbottom='on') + ax2.xaxis.set_tick_params(labeltop='off', labelbottom='on') + + # save PNG file + filename = path_out + "/mean_intensity_" + name + ".png" + fig.savefig(filename, dpi=300, bbox_inches='tight') + + # avoid "RuntimeWarning: More than 20 figures have been opened" + # by closing all open figures + plt.close('all') + + return + + +def plot_clutter2(t_a, t_d, clt_a, clt_d, start, end, name, path_out="./"): + '''Plot average clutter time series''' + fig = plt.figure() + ax = fig.add_subplot(1,1,1) + plt.plot(t_a, clt_a, 'ro-', label='Asc') + plt.plot(t_d, clt_d, 'bo-', label='Desc') + plt.xlim(start, end) + plt.ylim(-16, -2) + plt.xlabel('Date') + plt.ylabel('Average Clutter (dB)') + plt.legend(loc=1) + plt.grid(True) + plt.title('Average Clutter at site %s' % name) + for label in ax.get_xticklabels(): + label.set_rotation(90) + + # save PNG file + filename = path_out + "/clutter_" + name + ".png" + fig.savefig(filename, dpi=300, bbox_inches='tight') + + # avoid "RuntimeWarning: More than 20 figures have been opened" + # by closing all open figures + plt.close('all') + + return + + +def plot_scr2(t_a, t_d, scr_a, scr_d, start, end, name, path_out="./"): + '''Plot RCS time series''' + fig = plt.figure() + ax = fig.add_subplot(1,1,1) + plt.plot(t_a, scr_a, 'ro-', label='Ascending') + plt.plot(t_d, scr_d, 'bo-', label='Descending') + plt.xlim(start, end) + plt.ylim(0, 35) + plt.xlabel('Date') + plt.ylabel('SCR (dB)') + plt.legend(loc=4) + plt.grid(True) + plt.title('Signal to Clutter Ratio at site %s' % name) + for label in ax.get_xticklabels(): + label.set_rotation(90) + + # save PNG file + filename = path_out + "/scr_" + name + ".png" + fig.savefig(filename, dpi=300, bbox_inches='tight') + + # avoid "RuntimeWarning: More than 20 figures have been opened" + # by closing all open figures + plt.close('all') + + return + + +def plot_rcs2(t_a, t_d, rcs_a, rcs_d, start, end, name, path_out="./"): + '''Plot RCS time series''' + fig = plt.figure() + ax = fig.add_subplot(1,1,1) + plt.plot(t_a, rcs_a, 'ro-', label='Ascending') + plt.plot(t_d, rcs_d, 'bo-', label='Descending') + plt.xlim(start, end) + plt.ylim(0, 35) + plt.xlabel('Date') + plt.ylabel('RCS (dB$\mathregular{m^2}$)') + plt.legend(loc=4) + plt.grid(True) + plt.title('Radar Cross Section at site %s' % name) + for label in ax.get_xticklabels(): + label.set_rotation(90) + + # save PNG file + filename = path_out + "/rcs_" + name + ".png" + fig.savefig(filename, dpi=300, bbox_inches='tight') + + # avoid "RuntimeWarning: More than 20 figures have been opened" + # by closing all open figures + plt.close('all') + + return + diff --git a/tests/test_coral.py b/tests/test_coral.py index f1a1747..6ccfc54 100644 --- a/tests/test_coral.py +++ b/tests/test_coral.py @@ -132,7 +132,7 @@ def setUpClass(cls): def test_loop(self): '''test the calculation loop function''' - avgI, rcs, scr, Avg_clt, t = loop(self.files, self.sub_im, self.cr, self.targ_win_sz, self.clt_win_sz) + avgI, rcs, scr, Avg_clt, t, cr_new, cr_pos = loop(self.files, self.sub_im, self.cr, self.targ_win_sz, self.clt_win_sz) # test the mean value of the average intensity image self.assertEqual(round(np.mean(avgI), 6), -11.385613) # -11.385613198856245 @@ -153,7 +153,7 @@ def setUpClass(cls): def test_loop(self): '''test the calculation loop function''' - avgI, rcs, scr, Avg_clt, t = loop(self.files, self.sub_im, self.cr, self.targ_win_sz, self.clt_win_sz) + avgI, rcs, scr, Avg_clt, t, cr_new, cr_pos = loop(self.files, self.sub_im, self.cr, self.targ_win_sz, self.clt_win_sz) # test the mean value of the average intensity image self.assertEqual(round(np.mean(avgI), 6), -11.385613) # -11.385613198856245 From 28a99f3178faa50fad074cba582cdf5793964684 Mon Sep 17 00:00:00 2001 From: Thomas Fuhrmann Date: Fri, 17 Apr 2020 17:30:05 +1000 Subject: [PATCH 10/33] added script to convert CR lat/lon into radar coordinates, using absolute path to GAMMA track directory --- get_CR_position_rdc.py | 215 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 215 insertions(+) create mode 100644 get_CR_position_rdc.py diff --git a/get_CR_position_rdc.py b/get_CR_position_rdc.py new file mode 100644 index 0000000..334187f --- /dev/null +++ b/get_CR_position_rdc.py @@ -0,0 +1,215 @@ +""" +Main script +- converts lat/lon coordinates of corner reflectors into azimuth and range + pixel positions +- can be run after SLC images have been coregistered to a DEM and + lat/lon coordinates have been derived (using calc_lat_lon_TxxxX) + +INPUT: +txtfile: CR_site_lon_lat_hgt_date.txt located in ../GAMMA/TxxxX/ + *sar_latlon.txt file containing lon/lat values, located in ../GAMMA/TxxxX/DEM + ./DEM/diff*.par file containing length/width of radar-coded DEM, located in ../GAMMA/TxxxX/DEM + +OUTPUT: +textfile: CR_site_lon_lat_hgt_date_az_rg.txt + same as Input file with two columns added containing + azimuth and range position of central pixel at CR location + +@author: Thomas Fuhrmann @ GA June, 2018 + +usage: +this script is currently located and executed in the TxxxX directory +Load python3 module on NCI: module load python3 +then execute, e.g.: python3 get_CR_position_rdc.py +for effective parallel processing and if memory is exceeded, start an interactive session: +qsub -I -q express -lstorage=gdata/dg9,walltime=1:00:00,mem=32Gb,ncpus=7,wd +""" + + +# import modules +import sys +import os +import os.path +import math +import fnmatch +import numpy as np +# for parallel processing: module joblib has to be installed +from joblib import Parallel, delayed +import multiprocessing + + +####################### +### Path and file names +####################### +# give general processing path here +io_path = "/g/data/dg9/INSAR_ANALYSIS/CAMDEN/S1/GAMMA/T147D/" +# note that the GAMMA "DEM" folder is assumed inside this path +dem_path = io_path + "DEM/" +# give name of CR input file consisting of site name, longitude, latitude (+ optional column fields) +cr_filename = "CR_site_lon_lat_hgt_date1_date2.txt" +# name of CR output file (automatic naming): +cr_filename_out = cr_filename[:-4] + "_az_rg_initial.txt" +######## +# set number of processors here: +nCPU = 7 +######## + + + +# Welome +print() +print("########################################") +print("# Get CR position in radar-coordinates #") +print("########################################") + +print() + + +# Read CR_site_lon_lat_hgt_date1_date2.txt +print("Reading textfile with CR positions (latitude longitude height date)\ +...") +filename_in = io_path + cr_filename +if os.path.isfile(filename_in) and os.access(filename_in, os.R_OK): + print("File", filename_in, "exists and is readable.") + f = open(filename_in) + sites = f.readlines() + sites[:] = [line.split("\t")[0] for line in sites] + f = open(filename_in) + lons = f.readlines() + lons[:] = [float(line.split("\t")[1]) for line in lons] + f = open(filename_in) + lats = f.readlines() + lats[:] = [float(line.split("\t")[2]) for line in lats] +else: + print("ERROR: Can't read file", filename) + sys.exit() +print() + + +# Read diff.par file +for file in os.listdir(dem_path): + if fnmatch.fnmatch(file, "diff*.par"): + filename = dem_path + file + if os.path.isfile(filename) and os.access(filename, os.R_OK): + f = open(filename) + lines = f.readlines() + for line in lines: + if "range_samp_1" in line: + width = int(line.split()[1]) + if "az_samp_1" in line: + length = int(line.split()[1]) + else: + print("ERROR: Can't read file", filename) + sys.exit() +print("Width of radar-coded data (i.e. number of range samples):", width) +print("Length of radar-coded data (i.e. number of azimuth lines):", length) +print() + + +# Read lat/lon coordinate file +for file in os.listdir(dem_path): + if fnmatch.fnmatch(file, "*sar_latlon.txt"): + filename = dem_path + file + if os.path.isfile(filename) and os.access(filename, os.R_OK): + print("File", filename, "exists and is readable.") + else: + print("ERROR: Can't read file", filename) + sys.exit() +print() + + +# Convert lat/lon diff to metric using the CR lat/lon values +# Constants +a = 6378137 +f = 0.0033528107 +e2 = 1/(1-f)**2-1 +c = a*math.sqrt(1+e2) + + +def _inner(cr): + lonCR = cr[0][0] + latCR = cr[0][1] + f = open(filename) + lines = f.readlines() + dist_sq_min = 999 # in deg + az = 0 + rg = 0 + for line in lines: + lat = float(line.split(" ")[0]) + lon = float(line.split(" ")[1]) + dist_sq = (lon-lonCR)**2 + (lat-latCR)**2 + if dist_sq < dist_sq_min: + dist_sq_min = dist_sq + az_CR = az + rg_CR = rg + if rg < width-1: + rg = rg + 1 + else: + rg = 0 + az = az + 1 + # save az and rg coordinates to list + #az_CRs.append(az_CR) + #rg_CRs.append(rg_CR) + # print distance of pixel coordinate to CR coordinate + dist_min = math.sqrt(dist_sq_min) + V = math.sqrt((1+(e2*math.cos(latCR/180*math.pi)**2))) + N = c/V + M = c/V**3 + dist_min_m = dist_min/180*math.pi*math.sqrt(M*N) + print("Pixel with minimum distance to CR location is:") + print("azimuth: %d, range: %d" % (az_CR, rg_CR)) + print("Distance is %8.6f degree or %3.1f m" % (dist_min, dist_min_m)) + return az_CR, rg_CR +print() + + +################################## +# function for parallel loop processing +keys = sites +values = (np.array([[lons[i], lats[i]]], dtype=float) \ + for i in range(0,len(sites))) +sites = dict(zip(keys, values)) +names = sites.keys() +# note that dictionaries are unsorted and the variable name is hence not ordered +def processInput(name): + cr = sites[name] + az, rg = _inner(cr) + return az, rg + +# parallel processing of MLI read and RCS, SCR calculation +num_cores = multiprocessing.cpu_count() +# num_cores results in 32 on the NCI which in turn results in an error +# hence the number of 16 cores is hard-coded here +results = Parallel(n_jobs=nCPU)(delayed(processInput)(name) for name in names) +az_CRs = [] +rg_CRs = [] +for i in range(0,len(names)): + az_CRs.append(results[i][0]) + rg_CRs.append(results[i][1]) +# print(az_CRs) +# print(rg_CRs) + +# save the range and azimuth numbers of pixels in a new txt file +print("Reading textfile with CR positions (latitude longitude height date)\ +...") +filename_out = io_path + cr_filename_out +fout = open(filename_out,'w') +if os.path.isfile(filename_in) and os.access(filename_in, os.R_OK): + print("File", filename_in, "exists and is readable.") + f = open(filename_in) + lines = f.readlines() + idx = 0 + for line in lines: + out_line = line.strip("\n") + "\t" + str(az_CRs[idx]) + "\t" + \ + str(rg_CRs[idx]) + "\n" + fout.write(out_line) + idx = idx + 1 +else: + print("ERROR: Can't read file", filename_in) + sys.exit() +fout.close() +print() +print("Azimuth and Range number of CR pixels has been written to " + \ +filename_out + ".") +print() + From f86dae29a02c3f3df9e4608b3ee3469bdfaec9cb Mon Sep 17 00:00:00 2001 From: Thomas Fuhrmann Date: Mon, 20 Apr 2020 11:31:44 +1000 Subject: [PATCH 11/33] added unit tests for new functionality, minor changes to read/write functions for CR coordinate file --- coral/dataio.py | 11 +++-- data/site_az_rg.txt | 1 + data/site_lat_lon_hgt_date1_date2_az_rg.txt | 1 + tests/test_coral.py | 55 ++++++++++++++++++++- 4 files changed, 63 insertions(+), 5 deletions(-) create mode 100644 data/site_az_rg.txt create mode 100644 data/site_lat_lon_hgt_date1_date2_az_rg.txt diff --git a/coral/dataio.py b/coral/dataio.py index a26f293..bd3ff0c 100644 --- a/coral/dataio.py +++ b/coral/dataio.py @@ -5,7 +5,7 @@ import numpy as np import rasterio from rasterio.windows import Window -import os +import sys, os def readfile(file, sub_im, cr): @@ -85,10 +85,11 @@ def read_radar_coords(filename): # get site name line = line.strip("\n") site.append(line.split("\t")[0]) - az.append(line.split("\t")[6]) - rg.append(line.split("\t")[7]) - idx = idx + 1 + az.append(line.split("\t")[-2]) + rg.append(line.split("\t")[-1]) + idx = idx + 1 print("Radar coordinates at %d sites read" % (idx)) + f.close() else: print("ERROR: Can't read file", filename) sys.exit() @@ -116,6 +117,8 @@ def write_radar_coords(filename_init, filename, sites, geom): out_line = temp2 + "\t" + str(cr[1][1]) + \ "\t" + str(cr[1][0]) + "\n" fout.write(out_line) + f.close() + fout.close() else: print("ERROR: Can't read file", filename_init) sys.exit() diff --git a/data/site_az_rg.txt b/data/site_az_rg.txt new file mode 100644 index 0000000..79fa383 --- /dev/null +++ b/data/site_az_rg.txt @@ -0,0 +1 @@ +SERF 110 87 \ No newline at end of file diff --git a/data/site_lat_lon_hgt_date1_date2_az_rg.txt b/data/site_lat_lon_hgt_date1_date2_az_rg.txt new file mode 100644 index 0000000..5827add --- /dev/null +++ b/data/site_lat_lon_hgt_date1_date2_az_rg.txt @@ -0,0 +1 @@ +SERF -12.34 123.45 67.89 20180701 99999999 110 87 \ No newline at end of file diff --git a/tests/test_coral.py b/tests/test_coral.py index 6ccfc54..adeecbc 100644 --- a/tests/test_coral.py +++ b/tests/test_coral.py @@ -5,7 +5,7 @@ import os.path import numpy as np from coral.corner_reflector import * -from coral.dataio import readpar, readmli +from coral.dataio import readpar, readmli, read_radar_coords, write_radar_coords class TestCoral(unittest.TestCase): @classmethod @@ -157,6 +157,59 @@ def test_loop(self): # test the mean value of the average intensity image self.assertEqual(round(np.mean(avgI), 6), -11.385613) # -11.385613198856245 + + +class TestShift(unittest.TestCase): + @classmethod + def setUpClass(cls): + cls.files = [] + for file in glob.glob("data/*.mli"): + cls.files.append(file) + + cls.files.sort() + cls.sub_im = 51 + cls.targ_win_sz = 5 + cls.clt_win_sz = 9 + cls.cr = [ 86, 111] # coordinates changed to check shift + + def test_loop(self): + '''test the coordinate shift''' + avgI, rcs, scr, Avg_clt, t, cr_new, cr_pos = loop(self.files, self.sub_im, self.cr, self.targ_win_sz, self.clt_win_sz) + + # test array containing values of shift to be applied to radar coordinates + self.assertEqual(cr_pos[0], 52) + self.assertEqual(cr_pos[1], 50) + + +class TestCRfiles(unittest.TestCase): + @classmethod + def setUpClass(cls): + cls.file_in1 = "data/site_az_rg.txt" + cls.file_in2 = "data/site_lat_lon_hgt_date1_date2_az_rg.txt" + cls.file_out1 = "data/site_az_rg_new.txt" + cls.file_out2 = "data/site_lat_lon_hgt_date1_date2_az_rg_new.txt" + cls.sites = {'SERF' : np.array([[-999, -999],[ 87, 110]])} + cls.geom = "desc" + + def test_cr_file(self): + '''test the calculation loop function''' + # open reduced CR coordinate file + site, az, rg = read_radar_coords(self.file_in1) + self.assertEqual(int(rg[0]), 87) + self.assertEqual(int(az[0]), 110) + # write to new file + write_radar_coords(self.file_in1, self.file_out1, self.sites, self.geom) + assert os.path.exists(self.file_out1) == 1 + os.remove(self.file_out1) + + # open full CR coordinate file + site, az, rg = read_radar_coords(self.file_in2) + self.assertEqual(int(rg[0]), 87) + self.assertEqual(int(az[0]), 110) + # write to new file + write_radar_coords(self.file_in2, self.file_out2, self.sites, self.geom) + assert os.path.exists(self.file_out2) == 1 + os.remove(self.file_out2) if __name__ == '__main__': From d592841b6e00e0527af23fea12530696d9f7e3b4 Mon Sep 17 00:00:00 2001 From: Thomas Fuhrmann Date: Fri, 18 Dec 2020 12:08:41 +1100 Subject: [PATCH 12/33] added usage of a config file containing paths to input files and parameters used for the target response analysis, added required input files to 'data' dir --- Calc_CR_response.py | 288 ++++++++++++++++-- Calc_CR_response_CamdenRSAT2.py | 279 ----------------- Calc_CR_response_CamdenS1.py | 279 ----------------- coral/config.py | 142 +++++++++ data/clutter_SERF.png | Bin 100054 -> 0 bytes data/coral_serf.conf | 33 ++ data/mean_intensity_SERF.png | Bin 104884 -> 0 bytes data/mli_desc.list | 9 + data/rcs_scr_SERF.png | Bin 145529 -> 0 bytes data/site_az_rg.txt | 1 - data/site_lat_lon_hgt_date1_date2_az_rg.txt | 1 - ..._lat_lon_hgt_date1_date2_az_rg_initial.txt | 1 + 12 files changed, 441 insertions(+), 592 deletions(-) delete mode 100644 Calc_CR_response_CamdenRSAT2.py delete mode 100644 Calc_CR_response_CamdenS1.py create mode 100644 coral/config.py delete mode 100644 data/clutter_SERF.png create mode 100644 data/coral_serf.conf delete mode 100644 data/mean_intensity_SERF.png create mode 100644 data/mli_desc.list delete mode 100644 data/rcs_scr_SERF.png delete mode 100644 data/site_az_rg.txt delete mode 100644 data/site_lat_lon_hgt_date1_date2_az_rg.txt create mode 100644 data/site_lat_lon_hgt_date1_date2_az_rg_initial.txt diff --git a/Calc_CR_response.py b/Calc_CR_response.py index db103d8..9f14326 100644 --- a/Calc_CR_response.py +++ b/Calc_CR_response.py @@ -1,53 +1,277 @@ """ -Ths is an example python script for running CoRAL analysis +Ths is the main python script for running CoRAL analysis -Example command line usage: python3 Calc_CR_response.py +Example command line usage: python3 Calc_CR_response_config.py /path/to/config_file +An example for the config_file is here: ./data/coral_serf.conf +An example for the input file list is here: ./data/mli_desc.list +An example for the file containing target coordinates is here: ./data/site_lat_lon_hgt_date1_date2_az_rg_initial.txt + +required packages to be installed (on Gadi): +# pip install --user joblib +# pip install --user rasterio """ -import glob import numpy as np from datetime import datetime from coral.corner_reflector import loop +from coral.dataio import read_radar_coords, write_radar_coords from coral.plot import * +from coral.plot2 import * +from joblib import Parallel, delayed +import multiprocessing +import sys, os, os.path +from coral import config as cf +from configparser import ConfigParser + + +class Configuration: + def __init__(self, config_file_path): + parser = ConfigParser() + parser.optionxform = str + # mimic header to fulfil the requirement for configparser + with open(config_file_path) as stream: + parser.read_string("[root]\n" + stream.read()) + + for key, value in parser["root"].items(): + self.__dict__[key] = value + +def _params_from_conf(config_file): + config_file = os.path.abspath(config_file) + config = Configuration(config_file) + params = config.__dict__ + return params + + +print('') +if len(sys.argv) != 2: + print('Exiting: Provide path to config-file as command line argument') + print('') + print('Usage: python3 Calc_CR_response.py ') + exit() +else: + config_file = sys.argv[1] + print(f'Looking for CoRAL input data defined in {config_file}') + + +params = _params_from_conf(config_file) + +print(f'Results will be saved into {params[cf.OUT_DIR]}') +# Start the processing +print(' ') +print('Running CoRAL...') +print(' ') +# used to calculate runtime +run_start = datetime.now() + + +# if no datapath is given in the config file, this geometry is not used +if params[cf.ASC_LIST]: + print(f'Reading data from file list {params[cf.ASC_LIST]}') + # read the paths to ascending-pass backscatter images + with open(params[cf.ASC_LIST]) as f_in: + files_a = [line.rstrip() for line in f_in] + files_a.sort() + # read the ascending-pass radar coordinates of targets + filename = params[cf.ASC_CR_FILE_ORIG] + sites_a, az_a, rg_a = read_radar_coords(filename) +else: + print('No ascending-pass file list supplied') + # read asc pass data files +if params[cf.DESC_LIST]: + print(f'Reading data from file list {params[cf.DESC_LIST]}') + # read the paths to descending-pass backscatter images + with open(params[cf.DESC_LIST]) as f_in: + files_d = [line.rstrip() for line in f_in] + files_d.sort() + # read the descending-pass radar coordinates of targets + filename = params[cf.DESC_CR_FILE_ORIG] + sites_d, az_d, rg_d = read_radar_coords(filename) +else: + print('No descending-pass file list supplied') + + +# check if CR files have the same length +if params[cf.ASC_LIST] and params[cf.DESC_LIST]: + if sites_a == sites_d: + print("CR files for asc and desc tracks contain same set of sites.") + keys = sites_a + values = (np.array([[rg_a[i], az_a[i]],[rg_d[i], az_d[i]]], dtype=int) \ + for i in range(0, len(sites_a))) + else: + print("ERROR: different CR sites given for asc and desc track.") + sys.exit() + print(' ') +elif params[cf.ASC_LIST] and not params[cf.DESC_LIST]: + keys = sites_a + values = (np.array([[rg_a[i], az_a[i]],[-999, -999]], dtype=int) \ + for i in range(0, len(sites_a))) +elif params[cf.DESC_LIST] and not params[cf.ASC_LIST]: + keys = sites_d + values = (np.array([[-999, -999],[rg_d[i], az_d[i]]], dtype=int) \ + for i in range(0, len(sites_d))) + +sites = dict(zip(keys, values)) + + +################################## +# function for parallel loop processing +names = sites.keys() +# note that dictionaries are unsorted and the variable name is hence not ordered +def processInput(name): + + cr = sites[name] + + if params[cf.ASC_LIST]: + avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a, cr_pos_a = loop(files_a, int(params[cf.SUB_IM]), cr[0], int(params[cf.TARG_WIN_SZ]), int(params[cf.CLT_WIN_SZ])) + if params[cf.DESC_LIST]: + avgI_d, rcs_d, scr_d, clt_d, t_d, cr_new_d, cr_pos_d = loop(files_d, int(params[cf.SUB_IM]), cr[1], int(params[cf.TARG_WIN_SZ]), int(params[cf.CLT_WIN_SZ])) -# start/end date for plots -start = datetime(2018, 7, 1) -end = datetime(2018, 11, 1) + if params[cf.ASC_LIST] and params[cf.DESC_LIST]: + return name, cr_pos_a, avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a, \ + cr_pos_d, avgI_d, rcs_d, scr_d, clt_d, t_d, cr_new_d + elif params[cf.ASC_LIST] and not params[cf.DESC_LIST]: + return name, cr_pos_a, avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a + elif params[cf.DESC_LIST] and not params[cf.ASC_LIST]: + return name, cr_pos_d, avgI_d, rcs_d, scr_d, clt_d, t_d, cr_new_d -# Get list of image files in current directory -files = [] -for file in glob.glob("data/*.tif"): - files.append(file) -files.sort() +# parallel processing of MLI read and RCS, SCR calculation +num_cores = multiprocessing.cpu_count() +# num_cores results in 32 on the NCI which in turn results in an error +# hence the number of 16 cores is hard-coded here +results = Parallel(n_jobs=16)(delayed(processInput)(name) for name in names) -# final target positions manual entry -sites = { -# site name rg az - 'SERF' : np.array([[ 87, 110]]), -} -#cropped image size -sub_im = 51 +# extract results and plot images -# define target_window size -targ_win_sz = 5 +# create output dir if it doesn't exist +if not os.path.exists(params[cf.OUT_DIR]): + os.makedirs(params[cf.OUT_DIR]) -# define clutter window size -clt_win_sz = 9 +print(' ') +print('Creating output data...') +print(' ') +for i in range(0, len(names)): + + # ascending and descending CRs in one plot + if params[cf.ASC_LIST] and params[cf.DESC_LIST]: + # read result arrays of parallel function, both geometries + name = results[i][0] + cr_pos_a = results[i][1] + avgI_a = results[i][2] + rcs_a = results[i][3] + scr_a = results[i][4] + clt_a = results[i][5] + t_a = results[i][6] + cr_new_a = results[i][7] + cr_pos_d = results[i][8] + avgI_d = results[i][9] + rcs_d = results[i][10] + scr_d = results[i][11] + clt_d = results[i][12] + t_d = results[i][13] + cr_new_d = results[i][14] + + # add new coords to sites dictionary + cr = np.array([cr_new_a, cr_new_d]) + sites[name] = cr + + # Visualisation + print('Site %s' % name) + # Plot mean intensity image + plot_mean_intensity2(avgI_a, avgI_d, cr_pos_a, cr_pos_d, int(params[cf.TARG_WIN_SZ]), int(params[cf.CLT_WIN_SZ]), name, params[cf.OUT_DIR]) + + # extract start and end date + start_time = min(t_a[0], t_d[0]) + end_time = max(t_a[-1], t_d[-1]) + margin = (end_time - start_time)/50 + start = start_time - margin + end = end_time + margin + + # Plot average clutter time series + plot_clutter2(t_a, t_d, clt_a, clt_d, start, end, name, params[cf.OUT_DIR]) + # Plot scr time series + plot_scr2(t_a, t_d, scr_a, scr_d, start, end, name, params[cf.OUT_DIR]) + # Plot rcs time series + plot_rcs2(t_a, t_d, rcs_a, rcs_d, start, end, name, params[cf.OUT_DIR]) + + # write RCS data to file + filename_out = params[cf.OUT_DIR] + "/rcs_values_" + name + "_" + "Ascending.txt" + fout = open(filename_out,'w') + for time, value in zip(t_a,rcs_a): + timestr = time.strftime("%Y%m%d") + fout.write("%s %f\n" % (timestr, value)) + fout.close() + filename_out = params[cf.OUT_DIR] + "/rcs_values_" + name + "_" + "Descending.txt" + fout = open(filename_out,'w') + for time, value in zip(t_d,rcs_d): + timestr = time.strftime("%Y%m%d") + fout.write("%s %f\n" % (timestr, value)) + fout.close() + + # one geometry (ascending or descending) + else: + # read result arrays of parallel function, one geometry + name = results[i][0] + cr_pos = results[i][1] + avgI = results[i][2] + rcs = results[i][3] + scr = results[i][4] + clt = results[i][5] + t = results[i][6] + cr_new = results[i][7] -# loop through all corner reflector sites -for name, cr in sites.items(): - print(name,'is desc',cr[0]) + # add new coords to sites dictionary + if params[cf.ASC_LIST]: + geom='Ascending' + cr = np.array([cr_new, [-999, -999]]) + if params[cf.DESC_LIST]: + geom='Descending' + cr = np.array([[-999, -999], cr_new]) + sites[name] = cr - avgI, rcs, scr, Avg_clt, t, cr_new, cr_pos = loop(files, sub_im, cr[0], targ_win_sz, clt_win_sz) - # Plot mean intensity image - plot_mean_intensity(avgI, cr_pos, targ_win_sz, clt_win_sz, name) + # Visualisation + print('Site %s' % name) + # Plot mean intensity image + plot_mean_intensity(avgI, cr_pos, int(params[cf.TARG_WIN_SZ]), int(params[cf.CLT_WIN_SZ]), name, params[cf.OUT_DIR]) + + # extract start and end date + start_time = t[0] + end_time = t[-1] + margin = (end_time - start_time)/50 + start = start_time - margin + end = end_time + margin + + # Plot average clutter time series + plot_clutter(t, clt, start, end, name, geom, params[cf.OUT_DIR]) + # Plot scr time series + plot_scr(t, scr, start, end, name, geom, params[cf.OUT_DIR]) + # Plot rcs time series + plot_rcs(t, rcs, start, end, name, geom, params[cf.OUT_DIR]) + # Plot RCS_SCR time series + plot_rcs_scr(t, rcs, scr, start, end, name, params[cf.OUT_DIR]) - # Plot RCS_SCR time series - plot_rcs_scr(t, rcs, scr, start, end, name) + + # write RCS data to file + filename_out = params[cf.OUT_DIR] + "/rcs_values_" + name + "_" + geom + ".txt" + fout = open(filename_out,'w') + for time, value in zip(t,rcs): + timestr = time.strftime("%Y%m%d") + fout.write("%s %f\n" % (timestr, value)) + fout.close() - # Plot average clutter time series - plot_clutter(t, Avg_clt, start, end, name, "Descending") +# write updated radar coordinates to a new file +print(' ') +if params[cf.ASC_LIST]: + # new file with updated radar coordinates of CRs + write_radar_coords(params[cf.ASC_CR_FILE_ORIG], params[cf.ASC_CR_FILE_NEW], sites, "asc") +if params[cf.DESC_LIST]: + # new file with updated radar coordinates of CRs + write_radar_coords(params[cf.DESC_CR_FILE_ORIG], params[cf.DESC_CR_FILE_NEW], sites, "desc") + +# print out runtime +runtime = datetime.now() - run_start +print(' ') +print('Runtime: %s' % runtime) diff --git a/Calc_CR_response_CamdenRSAT2.py b/Calc_CR_response_CamdenRSAT2.py deleted file mode 100644 index 1b7bbce..0000000 --- a/Calc_CR_response_CamdenRSAT2.py +++ /dev/null @@ -1,279 +0,0 @@ -""" -Ths is an example python script for running CoRAL analysis - -Example command line usage: python3 Calc_CR_response_config.py -""" -import glob -import numpy as np -from datetime import datetime -from coral.corner_reflector import loop -from coral.dataio import read_radar_coords, write_radar_coords -from coral.plot import * -from coral.plot2 import * -# for parallel processing: module joblib needs to be installed: -# e.g.: pip install --user joblib -from joblib import Parallel, delayed -import multiprocessing -import sys, os, os.path - - -##################### -### Config parameters -##################### -# data directories for ascending and/or descending data paths (use "-" if geometry doesn't exist) -data_path_asc = "/g/data/dg9/INSAR_ANALYSIS/CAMDEN/RSAT2/GAMMA/T246A" -data_path_desc = "/g/data/dg9/INSAR_ANALYSIS/CAMDEN/RSAT2/GAMMA/T081D" - -# convention for for filenames of intensity images within the given data paths -file_name_conv = "/SLC/20*/r*2rlks.mli" - -# name of file containing initial radar coordinates of CRs (located in the asc/desc data_path directory) -cr_file_name = "/CR_site_lon_lat_hgt_date1_date2_az_rg_initial.txt" -# name of file to write updated radar coordinates of CRs (located in the asc/desc data_path directory) -cr_file_name_new = "/CR_site_lon_lat_hgt_date1_date2_az_rg.txt" - -# output directory -path_out = "/g/data/dg9/INSAR_ANALYSIS/CAMDEN/RSAT2/GAMMA/CoRAL_output" - -# target window -targ_win_sz = 5 # for multi-looked data (factor 2) -# targ_win_sz = 7 # for full-resolution data -# clutter window -clt_win_sz = 11 -# clt_win_sz = 15 # for full-resolution data -# give cropped image size (for plotting) -sub_im = 51 -##################### -### Config parameters -##################### - - -# Start the processing -print(' ') -print('Running CoRAL...') -print(' ') -# used to calculate runtime -run_start = datetime.now() - -# if - is given as datapath, this geometry is not used -if data_path_asc == "-": - asc_track_files = "" -else: - asc_track_files = data_path_asc + file_name_conv -if data_path_desc == "-": - desc_track_files = "" -else: - desc_track_files = data_path_desc + file_name_conv - - -# Get list of image files in asc/desc directories -if asc_track_files: - print('Ascending data set given...') - files_a = [] - for file in glob.glob(asc_track_files): - files_a.append(file) - files_a.sort() - # read initial radar coordinates of CRs - filename = data_path_asc + cr_file_name - sites_a, az_a, rg_a = read_radar_coords(filename) -if desc_track_files: - print('Descending data set given...') - files_d = [] - for file in glob.glob(desc_track_files): - files_d.append(file) - files_d.sort() -# read initial radar coordinates of CRs - filename = data_path_desc + cr_file_name - sites_d, az_d, rg_d = read_radar_coords(filename) - - -# check if CR files have the same length -if asc_track_files and desc_track_files: - if sites_a == sites_d: - print("CR files for asc and desc tracks contain same set of sites.") - keys = sites_a - values = (np.array([[rg_a[i], az_a[i]],[rg_d[i], az_d[i]]], dtype=int) \ - for i in range(0, len(sites_a))) - else: - print("ERROR: different CR sites given for asc and desc track.") - sys.exit() - print(' ') -elif asc_track_files and not desc_track_files: - keys = sites_a - values = (np.array([[rg_a[i], az_a[i]],[-999, -999]], dtype=int) \ - for i in range(0, len(sites_a))) -elif desc_track_files and not asc_track_files: - keys = sites_d - values = (np.array([[-999, -999],[rg_d[i], az_d[i]]], dtype=int) \ - for i in range(0, len(sites_d))) - -sites = dict(zip(keys, values)) - - -################################## -# function for parallel loop processing -names = sites.keys() -# note that dictionaries are unsorted and the variable name is hence not ordered -def processInput(name): - - cr = sites[name] - - if asc_track_files: - avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a, cr_pos_a = loop(files_a, sub_im, cr[0], targ_win_sz, clt_win_sz) - if desc_track_files: - avgI_d, rcs_d, scr_d, clt_d, t_d, cr_new_d, cr_pos_d = loop(files_d, sub_im, cr[1], targ_win_sz, clt_win_sz) - - if asc_track_files and desc_track_files: - return name, cr_pos_a, avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a, \ - cr_pos_d, avgI_d, rcs_d, scr_d, clt_d, t_d, cr_new_d - elif asc_track_files and not desc_track_files: - return name, cr_pos_a, avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a - elif desc_track_files and not asc_track_files: - return name, cr_pos_d, avgI_d, rcs_d, scr_d, clt_d, t_d, cr_new_d - - -# parallel processing of MLI read and RCS, SCR calculation -num_cores = multiprocessing.cpu_count() -# num_cores results in 32 on the NCI which in turn results in an error -# hence the number of 16 cores is hard-coded here -results = Parallel(n_jobs=16)(delayed(processInput)(name) for name in names) - - -# extract results and plot images - -# create output dir if it doesn't exist -if not os.path.exists(path_out): - os.makedirs(path_out) - -print(' ') -print('Creating output data...') -print(' ') -for i in range(0, len(names)): - - # ascending and descending CRs in one plot - if asc_track_files and desc_track_files: - # read result arrays of parallel function, both geometries - name = results[i][0] - cr_pos_a = results[i][1] - avgI_a = results[i][2] - rcs_a = results[i][3] - scr_a = results[i][4] - clt_a = results[i][5] - t_a = results[i][6] - cr_new_a = results[i][7] - cr_pos_d = results[i][8] - avgI_d = results[i][9] - rcs_d = results[i][10] - scr_d = results[i][11] - clt_d = results[i][12] - t_d = results[i][13] - cr_new_d = results[i][14] - - # add new coords to sites dictionary - cr = np.array([cr_new_a, cr_new_d]) - sites[name] = cr - - # Visualisation - print('Site %s' % name) - # Plot mean intensity image - plot_mean_intensity2(avgI_a, avgI_d, cr_pos_a, cr_pos_d, targ_win_sz, clt_win_sz, name, path_out) - - # extract start and end date - start_time = min(t_a[0], t_d[0]) - end_time = max(t_a[-1], t_d[-1]) - margin = (end_time - start_time)/50 - start = start_time - margin - end = end_time + margin - - # Plot average clutter time series - plot_clutter2(t_a, t_d, clt_a, clt_d, start, end, name, path_out) - # Plot scr time series - plot_scr2(t_a, t_d, scr_a, scr_d, start, end, name, path_out) - # Plot rcs time series - plot_rcs2(t_a, t_d, rcs_a, rcs_d, start, end, name, path_out) - - # write RCS data to file - filename_out = path_out + "/rcs_values_" + name + "_" + "Ascending.txt" - fout = open(filename_out,'w') - for time, value in zip(t_a,rcs_a): - timestr = time.strftime("%Y%m%d") - fout.write("%s %f\n" % (timestr, value)) - fout.close() - filename_out = path_out + "/rcs_values_" + name + "_" + "Descending.txt" - fout = open(filename_out,'w') - for time, value in zip(t_d,rcs_d): - timestr = time.strftime("%Y%m%d") - fout.write("%s %f\n" % (timestr, value)) - fout.close() - - # one geometry (ascending or descending) - else: - # read result arrays of parallel function, one geometry - name = results[i][0] - cr_pos = results[i][1] - avgI = results[i][2] - rcs = results[i][3] - scr = results[i][4] - clt = results[i][5] - t = results[i][6] - cr_new = results[i][7] - - # add new coords to sites dictionary - if asc_track_files: - geom='Ascending' - cr = np.array([cr_new, [-999, -999]]) - if desc_track_files: - geom='Descending' - cr = np.array([[-999, -999], cr_new]) - sites[name] = cr - - - # Visualisation - print('Site %s' % name) - # Plot mean intensity image - plot_mean_intensity(avgI, cr_pos, targ_win_sz, clt_win_sz, name, path_out) - - # extract start and end date - start_time = t[0] - end_time = t[-1] - margin = (end_time - start_time)/50 - start = start_time - margin - end = end_time + margin - - # Plot average clutter time series - plot_clutter(t, clt, start, end, name, geom, path_out) - # Plot scr time series - plot_scr(t, scr, start, end, name, geom, path_out) - # Plot rcs time series - plot_rcs(t, rcs, start, end, name, geom, path_out) - # Plot RCS_SCR time series - plot_rcs_scr(t, rcs, scr, start, end, name, path_out) - - - # write RCS data to file - filename_out = path_out + "/rcs_values_" + name + "_" + geom + ".txt" - fout = open(filename_out,'w') - for time, value in zip(t,rcs): - timestr = time.strftime("%Y%m%d") - fout.write("%s %f\n" % (timestr, value)) - fout.close() - - -# write updated radar coordinates to a new file -print(' ') -if asc_track_files: - # new file with updated radar coordinates of CRs - filename_init = data_path_asc + cr_file_name - filename = data_path_asc + cr_file_name_new - write_radar_coords(filename_init, filename, sites, "asc") -if desc_track_files: - # new file with updated radar coordinates of CRs - filename_init = data_path_desc + cr_file_name - filename = data_path_desc + cr_file_name_new - write_radar_coords(filename_init, filename, sites, "desc") - - -# print out runtime -runtime = datetime.now() - run_start -print(' ') -print('Runtime: %s' % runtime) diff --git a/Calc_CR_response_CamdenS1.py b/Calc_CR_response_CamdenS1.py deleted file mode 100644 index 10b7cf5..0000000 --- a/Calc_CR_response_CamdenS1.py +++ /dev/null @@ -1,279 +0,0 @@ -""" -Ths is an example python script for running CoRAL analysis - -Example command line usage: python3 Calc_CR_response_config.py -""" -import glob -import numpy as np -from datetime import datetime -from coral.corner_reflector import loop -from coral.dataio import read_radar_coords, write_radar_coords -from coral.plot import * -from coral.plot2 import * -# for parallel processing: module joblib needs to be installed: -# e.g.: pip install --user joblib -from joblib import Parallel, delayed -import multiprocessing -import sys, os, os.path - - -##################### -### Config parameters -##################### -# data directories for ascending and/or descending data paths (use "-" if geometry doesn't exist) -data_path_asc = "-" -data_path_desc = "/g/data/dg9/INSAR_ANALYSIS/CAMDEN/S1/GAMMA/T147D" - -# convention for for filenames of intensity images within the given data paths -file_name_conv = "/SLC/20*/r*8rlks.mli" - -# name of file containing initial radar coordinates of CRs (located in the asc/desc data_path directory) -cr_file_name = "/CR_site_lon_lat_hgt_date1_date2_az_rg_initial.txt" -# name of file to write updated radar coordinates of CRs (located in the asc/desc data_path directory) -cr_file_name_new = "/CR_site_lon_lat_hgt_date1_date2_az_rg.txt" - -# output directory -path_out = "/g/data/dg9/INSAR_ANALYSIS/CAMDEN/S1/GAMMA/CoRAL_output" - -# target window -targ_win_sz = 5 # for multi-looked data (factor 2) -# targ_win_sz = 7 # for full-resolution data -# clutter window -clt_win_sz = 11 -# clt_win_sz = 15 # for full-resolution data -# give cropped image size (for plotting) -sub_im = 51 -##################### -### Config parameters -##################### - - -# Start the processing -print(' ') -print('Running CoRAL...') -print(' ') -# used to calculate runtime -run_start = datetime.now() - -# if - is given as datapath, this geometry is not used -if data_path_asc == "-": - asc_track_files = "" -else: - asc_track_files = data_path_asc + file_name_conv -if data_path_desc == "-": - desc_track_files = "" -else: - desc_track_files = data_path_desc + file_name_conv - - -# Get list of image files in asc/desc directories -if asc_track_files: - print('Ascending data set given...') - files_a = [] - for file in glob.glob(asc_track_files): - files_a.append(file) - files_a.sort() - # read initial radar coordinates of CRs - filename = data_path_asc + cr_file_name - sites_a, az_a, rg_a = read_radar_coords(filename) -if desc_track_files: - print('Descending data set given...') - files_d = [] - for file in glob.glob(desc_track_files): - files_d.append(file) - files_d.sort() -# read initial radar coordinates of CRs - filename = data_path_desc + cr_file_name - sites_d, az_d, rg_d = read_radar_coords(filename) - - -# check if CR files have the same length -if asc_track_files and desc_track_files: - if sites_a == sites_d: - print("CR files for asc and desc tracks contain same set of sites.") - keys = sites_a - values = (np.array([[rg_a[i], az_a[i]],[rg_d[i], az_d[i]]], dtype=int) \ - for i in range(0, len(sites_a))) - else: - print("ERROR: different CR sites given for asc and desc track.") - sys.exit() - print(' ') -elif asc_track_files and not desc_track_files: - keys = sites_a - values = (np.array([[rg_a[i], az_a[i]],[-999, -999]], dtype=int) \ - for i in range(0, len(sites_a))) -elif desc_track_files and not asc_track_files: - keys = sites_d - values = (np.array([[-999, -999],[rg_d[i], az_d[i]]], dtype=int) \ - for i in range(0, len(sites_d))) - -sites = dict(zip(keys, values)) - - -################################## -# function for parallel loop processing -names = sites.keys() -# note that dictionaries are unsorted and the variable name is hence not ordered -def processInput(name): - - cr = sites[name] - - if asc_track_files: - avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a, cr_pos_a = loop(files_a, sub_im, cr[0], targ_win_sz, clt_win_sz) - if desc_track_files: - avgI_d, rcs_d, scr_d, clt_d, t_d, cr_new_d, cr_pos_d = loop(files_d, sub_im, cr[1], targ_win_sz, clt_win_sz) - - if asc_track_files and desc_track_files: - return name, cr_pos_a, avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a, \ - cr_pos_d, avgI_d, rcs_d, scr_d, clt_d, t_d, cr_new_d - elif asc_track_files and not desc_track_files: - return name, cr_pos_a, avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a - elif desc_track_files and not asc_track_files: - return name, cr_pos_d, avgI_d, rcs_d, scr_d, clt_d, t_d, cr_new_d - - -# parallel processing of MLI read and RCS, SCR calculation -num_cores = multiprocessing.cpu_count() -# num_cores results in 32 on the NCI which in turn results in an error -# hence the number of 16 cores is hard-coded here -results = Parallel(n_jobs=16)(delayed(processInput)(name) for name in names) - - -# extract results and plot images - -# create output dir if it doesn't exist -if not os.path.exists(path_out): - os.makedirs(path_out) - -print(' ') -print('Creating output data...') -print(' ') -for i in range(0, len(names)): - - # ascending and descending CRs in one plot - if asc_track_files and desc_track_files: - # read result arrays of parallel function, both geometries - name = results[i][0] - cr_pos_a = results[i][1] - avgI_a = results[i][2] - rcs_a = results[i][3] - scr_a = results[i][4] - clt_a = results[i][5] - t_a = results[i][6] - cr_new_a = results[i][7] - cr_pos_d = results[i][8] - avgI_d = results[i][9] - rcs_d = results[i][10] - scr_d = results[i][11] - clt_d = results[i][12] - t_d = results[i][13] - cr_new_d = results[i][14] - - # add new coords to sites dictionary - cr = np.array([cr_new_a, cr_new_d]) - sites[name] = cr - - # Visualisation - print('Site %s' % name) - # Plot mean intensity image - plot_mean_intensity2(avgI_a, avgI_d, cr_pos_a, cr_pos_d, targ_win_sz, clt_win_sz, name, path_out) - - # extract start and end date - start_time = min(t_a[0], t_d[0]) - end_time = max(t_a[-1], t_d[-1]) - margin = (end_time - start_time)/50 - start = start_time - margin - end = end_time + margin - - # Plot average clutter time series - plot_clutter2(t_a, t_d, clt_a, clt_d, start, end, name, path_out) - # Plot scr time series - plot_scr2(t_a, t_d, scr_a, scr_d, start, end, name, path_out) - # Plot rcs time series - plot_rcs2(t_a, t_d, rcs_a, rcs_d, start, end, name, path_out) - - # write RCS data to file - filename_out = path_out + "/rcs_values_" + name + "_" + "Ascending.txt" - fout = open(filename_out,'w') - for time, value in zip(t_a,rcs_a): - timestr = time.strftime("%Y%m%d") - fout.write("%s %f\n" % (timestr, value)) - fout.close() - filename_out = path_out + "/rcs_values_" + name + "_" + "Descending.txt" - fout = open(filename_out,'w') - for time, value in zip(t_d,rcs_d): - timestr = time.strftime("%Y%m%d") - fout.write("%s %f\n" % (timestr, value)) - fout.close() - - # one geometry (ascending or descending) - else: - # read result arrays of parallel function, one geometry - name = results[i][0] - cr_pos = results[i][1] - avgI = results[i][2] - rcs = results[i][3] - scr = results[i][4] - clt = results[i][5] - t = results[i][6] - cr_new = results[i][7] - - # add new coords to sites dictionary - if asc_track_files: - geom='Ascending' - cr = np.array([cr_new, [-999, -999]]) - if desc_track_files: - geom='Descending' - cr = np.array([[-999, -999], cr_new]) - sites[name] = cr - - - # Visualisation - print('Site %s' % name) - # Plot mean intensity image - plot_mean_intensity(avgI, cr_pos, targ_win_sz, clt_win_sz, name, path_out) - - # extract start and end date - start_time = t[0] - end_time = t[-1] - margin = (end_time - start_time)/50 - start = start_time - margin - end = end_time + margin - - # Plot average clutter time series - plot_clutter(t, clt, start, end, name, geom, path_out) - # Plot scr time series - plot_scr(t, scr, start, end, name, geom, path_out) - # Plot rcs time series - plot_rcs(t, rcs, start, end, name, geom, path_out) - # Plot RCS_SCR time series - plot_rcs_scr(t, rcs, scr, start, end, name, path_out) - - - # write RCS data to file - filename_out = path_out + "/rcs_values_" + name + "_" + geom + ".txt" - fout = open(filename_out,'w') - for time, value in zip(t,rcs): - timestr = time.strftime("%Y%m%d") - fout.write("%s %f\n" % (timestr, value)) - fout.close() - - -# write updated radar coordinates to a new file -print(' ') -if asc_track_files: - # new file with updated radar coordinates of CRs - filename_init = data_path_asc + cr_file_name - filename = data_path_asc + cr_file_name_new - write_radar_coords(filename_init, filename, sites, "asc") -if desc_track_files: - # new file with updated radar coordinates of CRs - filename_init = data_path_desc + cr_file_name - filename = data_path_desc + cr_file_name_new - write_radar_coords(filename_init, filename, sites, "desc") - - -# print out runtime -runtime = datetime.now() - run_start -print(' ') -print('Runtime: %s' % runtime) diff --git a/coral/config.py b/coral/config.py new file mode 100644 index 0000000..114f05b --- /dev/null +++ b/coral/config.py @@ -0,0 +1,142 @@ +""" +This Python module contains utilities to parse CoRAL configuration +files. +""" +from typing import Dict +import os + + +# constants for lookups +#: STR; Name of input interferogram list file +ASC_LIST = 'backscatter_data_asc' +DESC_LIST = 'backscatter_data_desc' +ASC_CR_FILE_ORIG = 'cr_file_asc' +ASC_CR_FILE_NEW = 'cr_file_asc_new' +DESC_CR_FILE_ORIG = 'cr_file_desc' +DESC_CR_FILE_NEW = 'cr_file_desc_new' +OUT_DIR = 'path_out' +TARG_WIN_SZ = 'target_window_size' +CLT_WIN_SZ = 'clutter_window_size' +SUB_IM = 'sub_image_size' + + +# Lookup to help convert args to correct type/defaults +# format is key : (conversion, default value) +# None = no conversion +PARAM_CONVERSION = { + TARG_WIN_SZ: (int, 3), + CLT_WIN_SZ: (int, 7), + SUB_IM: (int, 51), +} + +PATHS = [ + ASC_LIST, + DESC_LIST, + ASC_CR_FILE_ORIG, + ASC_CR_FILE_NEW, + DESC_CR_FILE_ORIG, + DESC_CR_FILE_NEW, + OUT_DIR, +] + + +def get_config_params(path: str) -> Dict: + """ + Reads the parameters file provided by the user and converts it into + a dictionary. + + Args: + path: Absolute path to the parameters file. + validate: Validate the parameters if True, otherwise skip validation. + step: The current step of the PyRate workflow. + + Returns: + A dictionary of parameters. + """ + txt = '' + with open(path, 'r') as inputFile: + for line in inputFile: + if any(x in line for x in PATHS): + pos = line.find('~') + if pos != -1: + # create expanded line + line = line[:pos] + os.environ['HOME'] + line[(pos + 1):] + txt += line + params = _parse_conf_file(txt) + + return params + + +def _parse_conf_file(content) -> Dict: + """ + Converts the parameters from their text form into a dictionary. + + Args: + content: Parameters as text. + + Returns: + A dictionary of parameters. + """ + + def _is_valid(line): + """ + Check if line is not empty or has % or # + """ + return line != "" and line[0] not in "%#" + + lines = [ln.split() for ln in content.split('\n') if _is_valid(ln)] + + # convert "field: value" lines to [field, value] + kvpair = [(e[0].rstrip(":"), e[1]) for e in lines if len(e) == 2] + \ + [(e[0].rstrip(":"), None) for e in lines if len(e) == 1] + parameters = dict(kvpair) + for p in PATHS: + if p not in parameters: + parameters[p] = None + + for p in INT_KEYS: + if p not in parameters: + parameters[p] = '0' # insert dummies + + parameters = _handle_extra_parameters(parameters) + + if not parameters: + raise ConfigException('Cannot parse any parameters from config file') + + return _parse_pars(parameters) + + +# todo: check why conversion of parameters to int is not working properly +def _parse_pars(pars) -> Dict: + """ + Takes dictionary of parameters, converting values to required type + and providing defaults for missing values. + + Args: + pars: Parameters dictionary. + + Returns: + Dictionary of converted (and optionally validated) parameters. + """ + # Fallback to default for missing values and perform conversion. + for k in PARAM_CONVERSION: + if pars.get(k) is None: + pars[k] = PARAM_CONVERSION[k][1] + # _logger.warning(f"No value found for parameter '{k}'. Using "f"default value {pars[k]}.") + else: + conversion_func = PARAM_CONVERSION[k][0] + if conversion_func: + try: + pars[k] = conversion_func(pars[k]) + except ValueError as e: + _logger.error( + f"Unable to convert '{k}': {pars[k]} to " f"expected type {conversion_func.__name__}.") + raise e + + return pars + + +class ConfigException(Exception): + """ + Default exception class for configuration errors. + """ diff --git a/data/clutter_SERF.png b/data/clutter_SERF.png deleted file mode 100644 index 20f6092a4bae37063d0b80ce172a2e765360f17e..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 100054 zcmeFZXH-?`wk?X~R?A!lKu|Ful98y0fC&*1RFEv7+|r3=J)mZ&ERK>C-~pL%+873_#H3%-!&fL=Z$wRDVR}Eupc3R)>wxMTjH1e z<|6Xu(#BfmR<}(xDGYC$-!U*YH_%l(XsKyxrfY0;kc*v*otyQbj=A}rQyd)s{s6nN zsW!)v-51tTP#mNXyKwe~^~<3)EAv{JrRA}Px5wT-eNg%KUr*_tGRVB&>3{h5%RYxA zVn$rtC=;%U?67L8s~csme!K3v|0T+^Zy#;m^Jk^q#*J(n#V#E(baeW0t^R;v6Uw{8ZK_U8j23NHDy32LH zllt!;C_Zm-QT^u!Ms7yOHGlu~s`SuijhvF( 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+#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +# Input/Output file locations: +#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +# file containing the list of asc and/or desc SAR intensity images +# leave blank, if one image geometry is not used +backscatter_data_asc: +backscatter_data_desc: data/mli_desc.list + +# files containing initial and updated radar coordinates of CRs +# leave blank, if one image geometry is not used +cr_file_asc: +cr_file_asc_new: +cr_file_desc: data/site_lat_lon_hgt_date1_date2_az_rg_initial.txt +cr_file_desc_new: data/site_lat_lon_hgt_date1_date2_az_rg.txt + +# output directory +path_out: data/out + +#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +# Parameters: +#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +# target window size (pixels) +target_window_size: 3 +# clutter window size (pixels) +clutter_window_size: 11 +# cropped image size used for plotting (pixels) 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z)&L`}eEW6_64HHeq3=gpkpkw(`{x9nQdMOnsS=U6e7K-+GInW;m;mL`8%?oV@6Sff zi(z!@kM8)fyVV~w~ zcb6*(+bHS_e&IAG-xnV=#l@^yv&MO7j9kpdnY@qcsmRR=)On=%Q`Rlx)x;_b!PVD5 zRAG)aPNp30_4Q4QNFMbWDe?(kw)s>?-yrq% zug0sT>CX;k;_(QRHpL)$zXqYEgdy)1VNkFqd6)jU>R}t3Ac$3^bI?H+U;uOz8{?VR zJ=`fAspeQ^XvO&CIL=_7;b(-m3`Vr}wYIkQhlxxP7@8FDT0^}0YK1}(r`ADbXaQ?1 zuk0)nw0Sz@5Gp#JLq60VH&F~Xb%&>_nwSuW8)?8*THQx=amTy<2An3t6*fip%O6c+ m{*RiA|J6?A|J#dokHarm_Fdk*1JWcVXl&6`eXwcYiT?oCtU+}E diff --git a/data/site_az_rg.txt b/data/site_az_rg.txt deleted file mode 100644 index 79fa383..0000000 --- a/data/site_az_rg.txt +++ /dev/null @@ -1 +0,0 @@ -SERF 110 87 \ No newline at end of file diff --git a/data/site_lat_lon_hgt_date1_date2_az_rg.txt b/data/site_lat_lon_hgt_date1_date2_az_rg.txt deleted file mode 100644 index 5827add..0000000 --- a/data/site_lat_lon_hgt_date1_date2_az_rg.txt +++ /dev/null @@ -1 +0,0 @@ -SERF -12.34 123.45 67.89 20180701 99999999 110 87 \ No newline at end of file diff --git a/data/site_lat_lon_hgt_date1_date2_az_rg_initial.txt b/data/site_lat_lon_hgt_date1_date2_az_rg_initial.txt new file mode 100644 index 0000000..c20f250 --- /dev/null +++ b/data/site_lat_lon_hgt_date1_date2_az_rg_initial.txt @@ -0,0 +1 @@ +SERF -12.34 123.45 67.89 20180701 99999999 111 88 \ No newline at end of file From f18c936fc950bd5c4c733e5881f95334f007b49b Mon Sep 17 00:00:00 2001 From: Thomas Fuhrmann Date: Fri, 18 Dec 2020 12:26:55 +1100 Subject: [PATCH 13/33] minor chagnes to file names to fix broken test --- data/coral_serf.conf | 4 ++-- data/site_az_rg.txt | 1 + data/site_lat_lon_hgt_date1_date2_az_rg_initial.txt | 1 - data/site_lon_lat_hgt_date1_date2_az_rg.txt | 1 + data/site_lon_lat_hgt_date1_date2_az_rg_initial.txt | 1 + tests/test_coral.py | 4 ++-- 6 files changed, 7 insertions(+), 5 deletions(-) create mode 100644 data/site_az_rg.txt delete mode 100644 data/site_lat_lon_hgt_date1_date2_az_rg_initial.txt create mode 100644 data/site_lon_lat_hgt_date1_date2_az_rg.txt create mode 100644 data/site_lon_lat_hgt_date1_date2_az_rg_initial.txt diff --git a/data/coral_serf.conf b/data/coral_serf.conf index ed54f82..5cb0a33 100644 --- a/data/coral_serf.conf +++ b/data/coral_serf.conf @@ -15,8 +15,8 @@ backscatter_data_desc: data/mli_desc.list # leave blank, if one image geometry is not used cr_file_asc: cr_file_asc_new: -cr_file_desc: data/site_lat_lon_hgt_date1_date2_az_rg_initial.txt -cr_file_desc_new: data/site_lat_lon_hgt_date1_date2_az_rg.txt +cr_file_desc: data/site_lon_lat_hgt_date1_date2_az_rg_initial.txt +cr_file_desc_new: data/out/site_lon_lat_hgt_date1_date2_az_rg.txt # output directory path_out: data/out diff --git a/data/site_az_rg.txt b/data/site_az_rg.txt new file mode 100644 index 0000000..79fa383 --- /dev/null +++ b/data/site_az_rg.txt @@ -0,0 +1 @@ +SERF 110 87 \ No newline at end of file diff --git a/data/site_lat_lon_hgt_date1_date2_az_rg_initial.txt b/data/site_lat_lon_hgt_date1_date2_az_rg_initial.txt deleted file mode 100644 index c20f250..0000000 --- a/data/site_lat_lon_hgt_date1_date2_az_rg_initial.txt +++ /dev/null @@ -1 +0,0 @@ -SERF -12.34 123.45 67.89 20180701 99999999 111 88 \ No newline at end of file diff --git a/data/site_lon_lat_hgt_date1_date2_az_rg.txt b/data/site_lon_lat_hgt_date1_date2_az_rg.txt new file mode 100644 index 0000000..aba4d6b --- /dev/null +++ b/data/site_lon_lat_hgt_date1_date2_az_rg.txt @@ -0,0 +1 @@ +SERF 123.45 -12.34 67.89 20180701 99999999 110 87 \ No newline at end of file diff --git a/data/site_lon_lat_hgt_date1_date2_az_rg_initial.txt b/data/site_lon_lat_hgt_date1_date2_az_rg_initial.txt new file mode 100644 index 0000000..5a8c9ec --- /dev/null +++ b/data/site_lon_lat_hgt_date1_date2_az_rg_initial.txt @@ -0,0 +1 @@ +SERF 123.45 -12.34 67.89 20180701 99999999 111 88 \ No newline at end of file diff --git a/tests/test_coral.py b/tests/test_coral.py index adeecbc..fb06d85 100644 --- a/tests/test_coral.py +++ b/tests/test_coral.py @@ -185,9 +185,9 @@ class TestCRfiles(unittest.TestCase): @classmethod def setUpClass(cls): cls.file_in1 = "data/site_az_rg.txt" - cls.file_in2 = "data/site_lat_lon_hgt_date1_date2_az_rg.txt" + cls.file_in2 = "data/site_lon_lat_hgt_date1_date2_az_rg.txt" cls.file_out1 = "data/site_az_rg_new.txt" - cls.file_out2 = "data/site_lat_lon_hgt_date1_date2_az_rg_new.txt" + cls.file_out2 = "data/site_lon_lat_hgt_date1_date2_az_rg_new.txt" cls.sites = {'SERF' : np.array([[-999, -999],[ 87, 110]])} cls.geom = "desc" From e349df5d870dc9898dd2f4f0669aefcc99e4683f Mon Sep 17 00:00:00 2001 From: Thomas Fuhrmann Date: Fri, 18 Dec 2020 12:28:41 +1100 Subject: [PATCH 14/33] added a comment on performing a test run --- Calc_CR_response.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/Calc_CR_response.py b/Calc_CR_response.py index 9f14326..b4b29c7 100644 --- a/Calc_CR_response.py +++ b/Calc_CR_response.py @@ -2,9 +2,11 @@ Ths is the main python script for running CoRAL analysis Example command line usage: python3 Calc_CR_response_config.py /path/to/config_file + An example for the config_file is here: ./data/coral_serf.conf An example for the input file list is here: ./data/mli_desc.list An example for the file containing target coordinates is here: ./data/site_lat_lon_hgt_date1_date2_az_rg_initial.txt +Test run: python3 Calc_CR_response.py ./data/coral_serf.conf required packages to be installed (on Gadi): # pip install --user joblib From 330cfbe0b2f7f07b0dcda7eda8ab38e05420c3c4 Mon Sep 17 00:00:00 2001 From: Thomas Fuhrmann Date: Fri, 18 Dec 2020 13:50:42 +1100 Subject: [PATCH 15/33] changed file paths in data/mli_desc.list to relative paths --- Calc_CR_response_CamdenRSAT2.py | 279 -------------------------------- data/mli_desc.list | 18 +-- 2 files changed, 9 insertions(+), 288 deletions(-) delete mode 100644 Calc_CR_response_CamdenRSAT2.py diff --git a/Calc_CR_response_CamdenRSAT2.py b/Calc_CR_response_CamdenRSAT2.py deleted file mode 100644 index 1b7bbce..0000000 --- a/Calc_CR_response_CamdenRSAT2.py +++ /dev/null @@ -1,279 +0,0 @@ -""" -Ths is an example python script for running CoRAL analysis - -Example command line usage: python3 Calc_CR_response_config.py -""" -import glob -import numpy as np -from datetime import datetime -from coral.corner_reflector import loop -from coral.dataio import read_radar_coords, write_radar_coords -from coral.plot import * -from coral.plot2 import * -# for parallel processing: module joblib needs to be installed: -# e.g.: pip install --user joblib -from joblib import Parallel, delayed -import multiprocessing -import sys, os, os.path - - -##################### -### Config parameters -##################### -# data directories for ascending and/or descending data paths (use "-" if geometry doesn't exist) -data_path_asc = "/g/data/dg9/INSAR_ANALYSIS/CAMDEN/RSAT2/GAMMA/T246A" -data_path_desc = "/g/data/dg9/INSAR_ANALYSIS/CAMDEN/RSAT2/GAMMA/T081D" - -# convention for for filenames of intensity images within the given data paths -file_name_conv = "/SLC/20*/r*2rlks.mli" - -# name of file containing initial radar coordinates of CRs (located in the asc/desc data_path directory) -cr_file_name = "/CR_site_lon_lat_hgt_date1_date2_az_rg_initial.txt" -# name of file to write updated radar coordinates of CRs (located in the asc/desc data_path directory) -cr_file_name_new = "/CR_site_lon_lat_hgt_date1_date2_az_rg.txt" - -# output directory -path_out = "/g/data/dg9/INSAR_ANALYSIS/CAMDEN/RSAT2/GAMMA/CoRAL_output" - -# target window -targ_win_sz = 5 # for multi-looked data (factor 2) -# targ_win_sz = 7 # for full-resolution data -# clutter window -clt_win_sz = 11 -# clt_win_sz = 15 # for full-resolution data -# give cropped image size (for plotting) -sub_im = 51 -##################### -### Config parameters -##################### - - -# Start the processing -print(' ') -print('Running CoRAL...') -print(' ') -# used to calculate runtime -run_start = datetime.now() - -# if - is given as datapath, this geometry is not used -if data_path_asc == "-": - asc_track_files = "" -else: - asc_track_files = data_path_asc + file_name_conv -if data_path_desc == "-": - desc_track_files = "" -else: - desc_track_files = data_path_desc + file_name_conv - - -# Get list of image files in asc/desc directories -if asc_track_files: - print('Ascending data set given...') - files_a = [] - for file in glob.glob(asc_track_files): - files_a.append(file) - files_a.sort() - # read initial radar coordinates of CRs - filename = data_path_asc + cr_file_name - sites_a, az_a, rg_a = read_radar_coords(filename) -if desc_track_files: - print('Descending data set given...') - files_d = [] - for file in glob.glob(desc_track_files): - files_d.append(file) - files_d.sort() -# read initial radar coordinates of CRs - filename = data_path_desc + cr_file_name - sites_d, az_d, rg_d = read_radar_coords(filename) - - -# check if CR files have the same length -if asc_track_files and desc_track_files: - if sites_a == sites_d: - print("CR files for asc and desc tracks contain same set of sites.") - keys = sites_a - values = (np.array([[rg_a[i], az_a[i]],[rg_d[i], az_d[i]]], dtype=int) \ - for i in range(0, len(sites_a))) - else: - print("ERROR: different CR sites given for asc and desc track.") - sys.exit() - print(' ') -elif asc_track_files and not desc_track_files: - keys = sites_a - values = (np.array([[rg_a[i], az_a[i]],[-999, -999]], dtype=int) \ - for i in range(0, len(sites_a))) -elif desc_track_files and not asc_track_files: - keys = sites_d - values = (np.array([[-999, -999],[rg_d[i], az_d[i]]], dtype=int) \ - for i in range(0, len(sites_d))) - -sites = dict(zip(keys, values)) - - -################################## -# function for parallel loop processing -names = sites.keys() -# note that dictionaries are unsorted and the variable name is hence not ordered -def processInput(name): - - cr = sites[name] - - if asc_track_files: - avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a, cr_pos_a = loop(files_a, sub_im, cr[0], targ_win_sz, clt_win_sz) - if desc_track_files: - avgI_d, rcs_d, scr_d, clt_d, t_d, cr_new_d, cr_pos_d = loop(files_d, sub_im, cr[1], targ_win_sz, clt_win_sz) - - if asc_track_files and desc_track_files: - return name, cr_pos_a, avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a, \ - cr_pos_d, avgI_d, rcs_d, scr_d, clt_d, t_d, cr_new_d - elif asc_track_files and not desc_track_files: - return name, cr_pos_a, avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a - elif desc_track_files and not asc_track_files: - return name, cr_pos_d, avgI_d, rcs_d, scr_d, clt_d, t_d, cr_new_d - - -# parallel processing of MLI read and RCS, SCR calculation -num_cores = multiprocessing.cpu_count() -# num_cores results in 32 on the NCI which in turn results in an error -# hence the number of 16 cores is hard-coded here -results = Parallel(n_jobs=16)(delayed(processInput)(name) for name in names) - - -# extract results and plot images - -# create output dir if it doesn't exist -if not os.path.exists(path_out): - os.makedirs(path_out) - -print(' ') -print('Creating output data...') -print(' ') -for i in range(0, len(names)): - - # ascending and descending CRs in one plot - if asc_track_files and desc_track_files: - # read result arrays of parallel function, both geometries - name = results[i][0] - cr_pos_a = results[i][1] - avgI_a = results[i][2] - rcs_a = results[i][3] - scr_a = results[i][4] - clt_a = results[i][5] - t_a = results[i][6] - cr_new_a = results[i][7] - cr_pos_d = results[i][8] - avgI_d = results[i][9] - rcs_d = results[i][10] - scr_d = results[i][11] - clt_d = results[i][12] - t_d = results[i][13] - cr_new_d = results[i][14] - - # add new coords to sites dictionary - cr = np.array([cr_new_a, cr_new_d]) - sites[name] = cr - - # Visualisation - print('Site %s' % name) - # Plot mean intensity image - plot_mean_intensity2(avgI_a, avgI_d, cr_pos_a, cr_pos_d, targ_win_sz, clt_win_sz, name, path_out) - - # extract start and end date - start_time = min(t_a[0], t_d[0]) - end_time = max(t_a[-1], t_d[-1]) - margin = (end_time - start_time)/50 - start = start_time - margin - end = end_time + margin - - # Plot average clutter time series - plot_clutter2(t_a, t_d, clt_a, clt_d, start, end, name, path_out) - # Plot scr time series - plot_scr2(t_a, t_d, scr_a, scr_d, start, end, name, path_out) - # Plot rcs time series - plot_rcs2(t_a, t_d, rcs_a, rcs_d, start, end, name, path_out) - - # write RCS data to file - filename_out = path_out + "/rcs_values_" + name + "_" + "Ascending.txt" - fout = open(filename_out,'w') - for time, value in zip(t_a,rcs_a): - timestr = time.strftime("%Y%m%d") - fout.write("%s %f\n" % (timestr, value)) - fout.close() - filename_out = path_out + "/rcs_values_" + name + "_" + "Descending.txt" - fout = open(filename_out,'w') - for time, value in zip(t_d,rcs_d): - timestr = time.strftime("%Y%m%d") - fout.write("%s %f\n" % (timestr, value)) - fout.close() - - # one geometry (ascending or descending) - else: - # read result arrays of parallel function, one geometry - name = results[i][0] - cr_pos = results[i][1] - avgI = results[i][2] - rcs = results[i][3] - scr = results[i][4] - clt = results[i][5] - t = results[i][6] - cr_new = results[i][7] - - # add new coords to sites dictionary - if asc_track_files: - geom='Ascending' - cr = np.array([cr_new, [-999, -999]]) - if desc_track_files: - geom='Descending' - cr = np.array([[-999, -999], cr_new]) - sites[name] = cr - - - # Visualisation - print('Site %s' % name) - # Plot mean intensity image - plot_mean_intensity(avgI, cr_pos, targ_win_sz, clt_win_sz, name, path_out) - - # extract start and end date - start_time = t[0] - end_time = t[-1] - margin = (end_time - start_time)/50 - start = start_time - margin - end = end_time + margin - - # Plot average clutter time series - plot_clutter(t, clt, start, end, name, geom, path_out) - # Plot scr time series - plot_scr(t, scr, start, end, name, geom, path_out) - # Plot rcs time series - plot_rcs(t, rcs, start, end, name, geom, path_out) - # Plot RCS_SCR time series - plot_rcs_scr(t, rcs, scr, start, end, name, path_out) - - - # write RCS data to file - filename_out = path_out + "/rcs_values_" + name + "_" + geom + ".txt" - fout = open(filename_out,'w') - for time, value in zip(t,rcs): - timestr = time.strftime("%Y%m%d") - fout.write("%s %f\n" % (timestr, value)) - fout.close() - - -# write updated radar coordinates to a new file -print(' ') -if asc_track_files: - # new file with updated radar coordinates of CRs - filename_init = data_path_asc + cr_file_name - filename = data_path_asc + cr_file_name_new - write_radar_coords(filename_init, filename, sites, "asc") -if desc_track_files: - # new file with updated radar coordinates of CRs - filename_init = data_path_desc + cr_file_name - filename = data_path_desc + cr_file_name_new - write_radar_coords(filename_init, filename, sites, "desc") - - -# print out runtime -runtime = datetime.now() - run_start -print(' ') -print('Runtime: %s' % runtime) diff --git a/data/mli_desc.list b/data/mli_desc.list index 521ffc5..c681b5a 100644 --- a/data/mli_desc.list +++ b/data/mli_desc.list @@ -1,9 +1,9 @@ -/home/547/txf547/coral/data/20180726_VV.mli -/home/547/txf547/coral/data/20180807_VV.mli -/home/547/txf547/coral/data/20180819_VV.mli -/home/547/txf547/coral/data/20180831_VV.mli -/home/547/txf547/coral/data/20180912_VV.mli -/home/547/txf547/coral/data/20180924_VV.mli -/home/547/txf547/coral/data/20181006_VV.mli -/home/547/txf547/coral/data/20181018_VV.mli -/home/547/txf547/coral/data/20181030_VV.mli +./data/20180726_VV.mli +./data/20180807_VV.mli +./data/20180819_VV.mli +./data/20180831_VV.mli +./data/20180912_VV.mli +./data/20180924_VV.mli +./data/20181006_VV.mli +./data/20181018_VV.mli +./data/20181030_VV.mli From 39d279fa44118da93c5591941b9376edbedfae95 Mon Sep 17 00:00:00 2001 From: Thomas Fuhrmann Date: Mon, 21 Dec 2020 10:45:23 +1100 Subject: [PATCH 16/33] changes to the way the config-file is read including automated conversion to int for input parameters --- Calc_CR_response.py | 31 ++++++------------------------- coral/config.py | 13 ++----------- 2 files changed, 8 insertions(+), 36 deletions(-) diff --git a/Calc_CR_response.py b/Calc_CR_response.py index b3c8cd4..f721f5b 100644 --- a/Calc_CR_response.py +++ b/Calc_CR_response.py @@ -22,25 +22,6 @@ import multiprocessing import sys, os, os.path from coral import config as cf -from configparser import ConfigParser - - -class Configuration: - def __init__(self, config_file_path): - parser = ConfigParser() - parser.optionxform = str - # mimic header to fulfil the requirement for configparser - with open(config_file_path) as stream: - parser.read_string("[root]\n" + stream.read()) - - for key, value in parser["root"].items(): - self.__dict__[key] = value - -def _params_from_conf(config_file): - config_file = os.path.abspath(config_file) - config = Configuration(config_file) - params = config.__dict__ - return params print('') @@ -53,8 +34,8 @@ def _params_from_conf(config_file): config_file = sys.argv[1] print(f'Looking for CoRAL input data defined in {config_file}') - -params = _params_from_conf(config_file) +# read config-file parameters and convert to required data type +params = cf.get_config_params(config_file) print(f'Results will be saved into {params[cf.OUT_DIR]}') # Start the processing @@ -123,9 +104,9 @@ def processInput(name): cr = sites[name] if params[cf.ASC_LIST]: - avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a, cr_pos_a = loop(files_a, int(params[cf.SUB_IM]), cr[0], int(params[cf.TARG_WIN_SZ]), int(params[cf.CLT_WIN_SZ])) + avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a, cr_pos_a = loop(files_a, params[cf.SUB_IM], cr[0], params[cf.TARG_WIN_SZ], params[cf.CLT_WIN_SZ]) if params[cf.DESC_LIST]: - avgI_d, rcs_d, scr_d, clt_d, t_d, cr_new_d, cr_pos_d = loop(files_d, int(params[cf.SUB_IM]), cr[1], int(params[cf.TARG_WIN_SZ]), int(params[cf.CLT_WIN_SZ])) + avgI_d, rcs_d, scr_d, clt_d, t_d, cr_new_d, cr_pos_d = loop(files_d, params[cf.SUB_IM], cr[1], params[cf.TARG_WIN_SZ], params[cf.CLT_WIN_SZ]) if params[cf.ASC_LIST] and params[cf.DESC_LIST]: return name, cr_pos_a, avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a, \ @@ -180,7 +161,7 @@ def processInput(name): # Visualisation print('Site %s' % name) # Plot mean intensity image - plot_mean_intensity2(avgI_a, avgI_d, cr_pos_a, cr_pos_d, int(params[cf.TARG_WIN_SZ]), int(params[cf.CLT_WIN_SZ]), name, params[cf.OUT_DIR]) + plot_mean_intensity2(avgI_a, avgI_d, cr_pos_a, cr_pos_d, params[cf.TARG_WIN_SZ], params[cf.CLT_WIN_SZ], name, params[cf.OUT_DIR]) # extract start and end date start_time = min(t_a[0], t_d[0]) @@ -234,7 +215,7 @@ def processInput(name): # Visualisation print('Site %s' % name) # Plot mean intensity image - plot_mean_intensity(avgI, cr_pos, int(params[cf.TARG_WIN_SZ]), int(params[cf.CLT_WIN_SZ]), name, params[cf.OUT_DIR]) + plot_mean_intensity(avgI, cr_pos, params[cf.TARG_WIN_SZ], params[cf.CLT_WIN_SZ], name, params[cf.OUT_DIR]) # extract start and end date start_time = t[0] diff --git a/coral/config.py b/coral/config.py index 114f05b..c311aa2 100644 --- a/coral/config.py +++ b/coral/config.py @@ -1,6 +1,6 @@ """ -This Python module contains utilities to parse CoRAL configuration -files. +This Python module contains utilities to parse CoRAL configuration files. +Most of this code is copied from PyRate (see https://github.com/GeoscienceAustralia/PyRate) """ from typing import Dict import os @@ -47,9 +47,6 @@ def get_config_params(path: str) -> Dict: Args: path: Absolute path to the parameters file. - validate: Validate the parameters if True, otherwise skip validation. - step: The current step of the PyRate workflow. - Returns: A dictionary of parameters. """ @@ -94,12 +91,6 @@ def _is_valid(line): if p not in parameters: parameters[p] = None - for p in INT_KEYS: - if p not in parameters: - parameters[p] = '0' # insert dummies - - parameters = _handle_extra_parameters(parameters) - if not parameters: raise ConfigException('Cannot parse any parameters from config file') From fa07e855ae55eaa6b9561406a815cba86dbc0546 Mon Sep 17 00:00:00 2001 From: Thomas Fuhrmann Date: Mon, 21 Dec 2020 11:47:07 +1100 Subject: [PATCH 17/33] moved get_CR_position_rdc.py script to utils dir since it is only for usage with GAMMA, refactored reading of input data from main script into dataio.py including some error handling --- Calc_CR_response.py | 80 ++++-------------- coral/dataio.py | 82 +++++++++++++++++++ .../get_CR_position_rdc.py | 0 3 files changed, 100 insertions(+), 62 deletions(-) rename get_CR_position_rdc.py => utils/get_CR_position_rdc.py (100%) diff --git a/Calc_CR_response.py b/Calc_CR_response.py index f721f5b..fe7030a 100644 --- a/Calc_CR_response.py +++ b/Calc_CR_response.py @@ -15,15 +15,16 @@ import numpy as np from datetime import datetime from coral.corner_reflector import loop -from coral.dataio import read_radar_coords, write_radar_coords +from coral.dataio import read_input_files, write_radar_coords from coral.plot import * from coral.plot2 import * from joblib import Parallel, delayed import multiprocessing -import sys, os, os.path +import sys, os.path from coral import config as cf +# check if config-file has been given as an argument of the main script call print('') if len(sys.argv) != 2: print('Exiting: Provide path to config-file as command line argument') @@ -34,9 +35,11 @@ config_file = sys.argv[1] print(f'Looking for CoRAL input data defined in {config_file}') -# read config-file parameters and convert to required data type +# read config-file and convert parameters to required data type params = cf.get_config_params(config_file) + +# General screen output print(f'Results will be saved into {params[cf.OUT_DIR]}') # Start the processing print(' ') @@ -45,54 +48,8 @@ # used to calculate runtime run_start = datetime.now() - -# if no datapath is given in the config file, this geometry is not used -if params[cf.ASC_LIST]: - print(f'Reading data from file list {params[cf.ASC_LIST]}') - # read the paths to ascending-pass backscatter images - with open(params[cf.ASC_LIST]) as f_in: - files_a = [line.rstrip() for line in f_in] - files_a.sort() - # read the ascending-pass radar coordinates of targets - filename = params[cf.ASC_CR_FILE_ORIG] - sites_a, az_a, rg_a = read_radar_coords(filename) -else: - print('No ascending-pass file list supplied') - # read asc pass data files -if params[cf.DESC_LIST]: - print(f'Reading data from file list {params[cf.DESC_LIST]}') - # read the paths to descending-pass backscatter images - with open(params[cf.DESC_LIST]) as f_in: - files_d = [line.rstrip() for line in f_in] - files_d.sort() - # read the descending-pass radar coordinates of targets - filename = params[cf.DESC_CR_FILE_ORIG] - sites_d, az_d, rg_d = read_radar_coords(filename) -else: - print('No descending-pass file list supplied') - - -# check if CR files have the same length -if params[cf.ASC_LIST] and params[cf.DESC_LIST]: - if sites_a == sites_d: - print("CR files for asc and desc tracks contain same set of sites.") - keys = sites_a - values = (np.array([[rg_a[i], az_a[i]],[rg_d[i], az_d[i]]], dtype=int) \ - for i in range(0, len(sites_a))) - else: - print("ERROR: different CR sites given for asc and desc track.") - sys.exit() - print(' ') -elif params[cf.ASC_LIST] and not params[cf.DESC_LIST]: - keys = sites_a - values = (np.array([[rg_a[i], az_a[i]],[-999, -999]], dtype=int) \ - for i in range(0, len(sites_a))) -elif params[cf.DESC_LIST] and not params[cf.ASC_LIST]: - keys = sites_d - values = (np.array([[-999, -999],[rg_d[i], az_d[i]]], dtype=int) \ - for i in range(0, len(sites_d))) - -sites = dict(zip(keys, values)) +# check and read paths to input data +files_a, files_d, sites = read_input_files(params) ################################## @@ -103,17 +60,17 @@ def processInput(name): cr = sites[name] - if params[cf.ASC_LIST]: + if files_a: avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a, cr_pos_a = loop(files_a, params[cf.SUB_IM], cr[0], params[cf.TARG_WIN_SZ], params[cf.CLT_WIN_SZ]) - if params[cf.DESC_LIST]: + if files_d: avgI_d, rcs_d, scr_d, clt_d, t_d, cr_new_d, cr_pos_d = loop(files_d, params[cf.SUB_IM], cr[1], params[cf.TARG_WIN_SZ], params[cf.CLT_WIN_SZ]) - if params[cf.ASC_LIST] and params[cf.DESC_LIST]: + if files_a and files_d: return name, cr_pos_a, avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a, \ cr_pos_d, avgI_d, rcs_d, scr_d, clt_d, t_d, cr_new_d - elif params[cf.ASC_LIST] and not params[cf.DESC_LIST]: + elif files_a and not files_d: return name, cr_pos_a, avgI_a, rcs_a, scr_a, clt_a, t_a, cr_new_a - elif params[cf.DESC_LIST] and not params[cf.ASC_LIST]: + elif files_d and not files_a: return name, cr_pos_d, avgI_d, rcs_d, scr_d, clt_d, t_d, cr_new_d @@ -125,7 +82,6 @@ def processInput(name): # extract results and plot images - # create output dir if it doesn't exist if not os.path.exists(params[cf.OUT_DIR]): os.makedirs(params[cf.OUT_DIR]) @@ -136,7 +92,7 @@ def processInput(name): for i in range(0, len(names)): # ascending and descending CRs in one plot - if params[cf.ASC_LIST] and params[cf.DESC_LIST]: + if files_a and files_d: # read result arrays of parallel function, both geometries name = results[i][0] cr_pos_a = results[i][1] @@ -204,10 +160,10 @@ def processInput(name): cr_new = results[i][7] # add new coords to sites dictionary - if params[cf.ASC_LIST]: + if files_a: geom='Ascending' cr = np.array([cr_new, [-999, -999]]) - if params[cf.DESC_LIST]: + if files_d: geom='Descending' cr = np.array([[-999, -999], cr_new]) sites[name] = cr @@ -245,10 +201,10 @@ def processInput(name): # write updated radar coordinates to a new file print(' ') -if params[cf.ASC_LIST]: +if files_a: # new file with updated radar coordinates of CRs write_radar_coords(params[cf.ASC_CR_FILE_ORIG], params[cf.ASC_CR_FILE_NEW], sites, "asc") -if params[cf.DESC_LIST]: +if files_d: # new file with updated radar coordinates of CRs write_radar_coords(params[cf.DESC_CR_FILE_ORIG], params[cf.DESC_CR_FILE_NEW], sites, "desc") diff --git a/coral/dataio.py b/coral/dataio.py index 922c37f..daf9b5e 100644 --- a/coral/dataio.py +++ b/coral/dataio.py @@ -6,6 +6,84 @@ import rasterio as rio from rasterio.windows import Window import sys, os +from coral import config as cf + + +def read_input_files(params): + """ + Reads input files and performs checks on existence + + :param dict params: config parameters + :return: list files_a: containing paths to asc backscatter files (none if not given) + :return: list files_d: containing paths to desc backscatter files (none if not given) + :return: dict sites: containing radar target sites and array with range and azimuth coordinates + (-999 is used for non-existent geometry if applicable) + """ + # if no datapath is given in the config file, this geometry is not used + # read asc pass data files + if params[cf.ASC_LIST]: + if not os.path.exists(params[cf.ASC_LIST]): + raise Exception(f'{params[cf.ASC_LIST]} does not exist') + else: + print(f'Reading data from file list {params[cf.ASC_LIST]}') + # read the paths to ascending-pass backscatter images + with open(params[cf.ASC_LIST]) as f_in: + files_a = [line.rstrip() for line in f_in] + files_a.sort() + # read the ascending-pass radar coordinates of targets + if not os.path.exists(params[cf.ASC_CR_FILE_ORIG]): + raise Exception(f'{params[cf.ASC_CR_FILE_ORIG]} does not exist') + else: + print('') + sites_a, az_a, rg_a = read_radar_coords(filename) + # set files variable to None if no asc file list supplied + else: + print('No ascending-pass file list supplied') + files_a = None + # read desc pass data files + if params[cf.DESC_LIST]: + if not os.path.exists(params[cf.DESC_LIST]): + raise Exception(f'{params[cf.DESC_LIST]} does not exist') + else: + print(f'Reading data from file list {params[cf.DESC_LIST]}') + # read the paths to descending-pass backscatter images + with open(params[cf.DESC_LIST]) as f_in: + files_d = [line.rstrip() for line in f_in] + files_d.sort() + # read the descending-pass radar coordinates of targets + filename = params[cf.DESC_CR_FILE_ORIG] + if not os.path.exists(params[cf.DESC_CR_FILE_ORIG]): + raise Exception(f'{params[cf.DESC_CR_FILE_ORIG]} does not exist') + else: + print('') + sites_d, az_d, rg_d = read_radar_coords(filename) + # set files variable to None if no desc file list supplied + else: + print('No descending-pass file list supplied') + files_d = None + + # check if CR files have the same length + if files_a and files_d: + if sites_a == sites_d: + print("CR files for asc and desc tracks contain same set of sites.") + keys = sites_a + values = (np.array([[rg_a[i], az_a[i]], [rg_d[i], az_d[i]]], dtype=int) \ + for i in range(0, len(sites_a))) + else: + print("ERROR: different CR sites given for asc and desc track.") + sys.exit() + print(' ') + elif files_a and not files_d: + keys = sites_a + values = (np.array([[rg_a[i], az_a[i]], [-999, -999]], dtype=int) \ + for i in range(0, len(sites_a))) + elif files_d and not files_a: + keys = sites_d + values = (np.array([[-999, -999], [rg_d[i], az_d[i]]], dtype=int) \ + for i in range(0, len(sites_d))) + sites = dict(zip(keys, values)) + + return files_a, files_d, sites def readfile(file, sub_im, cr): @@ -132,3 +210,7 @@ def write_radar_coords(filename_init, filename, sites, geom): filename + ".") print() return + + +class Exception(Exception): + """IO generic exception class""" \ No newline at end of file diff --git a/get_CR_position_rdc.py b/utils/get_CR_position_rdc.py similarity index 100% rename from get_CR_position_rdc.py rename to utils/get_CR_position_rdc.py From 832d9a3837807584d8dee4004a74dbec23553d8d Mon Sep 17 00:00:00 2001 From: Thomas Fuhrmann Date: Mon, 21 Dec 2020 13:42:14 +1100 Subject: [PATCH 18/33] moved result collation and plotting of results from main script into dataio.py --- Calc_CR_response.py | 124 +++--------------------------------------- coral/dataio.py | 127 +++++++++++++++++++++++++++++++++++++++++++- 2 files changed, 132 insertions(+), 119 deletions(-) diff --git a/Calc_CR_response.py b/Calc_CR_response.py index fe7030a..c868d0d 100644 --- a/Calc_CR_response.py +++ b/Calc_CR_response.py @@ -12,16 +12,13 @@ # pip install --user joblib # pip install --user rasterio """ -import numpy as np from datetime import datetime -from coral.corner_reflector import loop -from coral.dataio import read_input_files, write_radar_coords -from coral.plot import * -from coral.plot2 import * from joblib import Parallel, delayed import multiprocessing import sys, os.path from coral import config as cf +from coral.dataio import read_input_files, write_radar_coords, plot_results +from coral.corner_reflector import loop # check if config-file has been given as an argument of the main script call @@ -54,7 +51,7 @@ ################################## # function for parallel loop processing -names = sites.keys() +sitenames = sites.keys() # note that dictionaries are unsorted and the variable name is hence not ordered def processInput(name): @@ -78,125 +75,18 @@ def processInput(name): num_cores = multiprocessing.cpu_count() # num_cores results in 32 on the NCI which in turn results in an error # hence the number of 16 cores is hard-coded here -results = Parallel(n_jobs=16)(delayed(processInput)(name) for name in names) +results = Parallel(n_jobs=16)(delayed(processInput)(name) for name in sitenames) - -# extract results and plot images # create output dir if it doesn't exist if not os.path.exists(params[cf.OUT_DIR]): os.makedirs(params[cf.OUT_DIR]) + +# extract results and plot images print(' ') print('Creating output data...') print(' ') -for i in range(0, len(names)): - - # ascending and descending CRs in one plot - if files_a and files_d: - # read result arrays of parallel function, both geometries - name = results[i][0] - cr_pos_a = results[i][1] - avgI_a = results[i][2] - rcs_a = results[i][3] - scr_a = results[i][4] - clt_a = results[i][5] - t_a = results[i][6] - cr_new_a = results[i][7] - cr_pos_d = results[i][8] - avgI_d = results[i][9] - rcs_d = results[i][10] - scr_d = results[i][11] - clt_d = results[i][12] - t_d = results[i][13] - cr_new_d = results[i][14] - - # add new coords to sites dictionary - cr = np.array([cr_new_a, cr_new_d]) - sites[name] = cr - - # Visualisation - print('Site %s' % name) - # Plot mean intensity image - plot_mean_intensity2(avgI_a, avgI_d, cr_pos_a, cr_pos_d, params[cf.TARG_WIN_SZ], params[cf.CLT_WIN_SZ], name, params[cf.OUT_DIR]) - - # extract start and end date - start_time = min(t_a[0], t_d[0]) - end_time = max(t_a[-1], t_d[-1]) - margin = (end_time - start_time)/50 - start = start_time - margin - end = end_time + margin - - # Plot average clutter time series - plot_clutter2(t_a, t_d, clt_a, clt_d, start, end, name, params[cf.OUT_DIR]) - # Plot scr time series - plot_scr2(t_a, t_d, scr_a, scr_d, start, end, name, params[cf.OUT_DIR]) - # Plot rcs time series - plot_rcs2(t_a, t_d, rcs_a, rcs_d, start, end, name, params[cf.OUT_DIR]) - - # write RCS data to file - filename_out = params[cf.OUT_DIR] + "/rcs_values_" + name + "_" + "Ascending.txt" - fout = open(filename_out,'w') - for time, value in zip(t_a,rcs_a): - timestr = time.strftime("%Y%m%d") - fout.write("%s %f\n" % (timestr, value)) - fout.close() - filename_out = params[cf.OUT_DIR] + "/rcs_values_" + name + "_" + "Descending.txt" - fout = open(filename_out,'w') - for time, value in zip(t_d,rcs_d): - timestr = time.strftime("%Y%m%d") - fout.write("%s %f\n" % (timestr, value)) - fout.close() - - # one geometry (ascending or descending) - else: - # read result arrays of parallel function, one geometry - name = results[i][0] - cr_pos = results[i][1] - avgI = results[i][2] - rcs = results[i][3] - scr = results[i][4] - clt = results[i][5] - t = results[i][6] - cr_new = results[i][7] - - # add new coords to sites dictionary - if files_a: - geom='Ascending' - cr = np.array([cr_new, [-999, -999]]) - if files_d: - geom='Descending' - cr = np.array([[-999, -999], cr_new]) - sites[name] = cr - - # Visualisation - print('Site %s' % name) - # Plot mean intensity image - plot_mean_intensity(avgI, cr_pos, params[cf.TARG_WIN_SZ], params[cf.CLT_WIN_SZ], name, params[cf.OUT_DIR]) - - # extract start and end date - start_time = t[0] - end_time = t[-1] - margin = (end_time - start_time)/50 - start = start_time - margin - end = end_time + margin - - # Plot average clutter time series - plot_clutter(t, clt, start, end, name, geom, params[cf.OUT_DIR]) - # Plot scr time series - plot_scr(t, scr, start, end, name, geom, params[cf.OUT_DIR]) - # Plot rcs time series - plot_rcs(t, rcs, start, end, name, geom, params[cf.OUT_DIR]) - # Plot RCS_SCR time series - plot_rcs_scr(t, rcs, scr, start, end, name, params[cf.OUT_DIR]) - - - # write RCS data to file - filename_out = params[cf.OUT_DIR] + "/rcs_values_" + name + "_" + geom + ".txt" - fout = open(filename_out,'w') - for time, value in zip(t,rcs): - timestr = time.strftime("%Y%m%d") - fout.write("%s %f\n" % (timestr, value)) - fout.close() +plot_results(sites, results, params) # write updated radar coordinates to a new file diff --git a/coral/dataio.py b/coral/dataio.py index daf9b5e..99a20c9 100644 --- a/coral/dataio.py +++ b/coral/dataio.py @@ -7,6 +7,8 @@ from rasterio.windows import Window import sys, os from coral import config as cf +from coral.plot import * +from coral.plot2 import * def read_input_files(params): @@ -178,8 +180,129 @@ def read_radar_coords(filename): sys.exit() print() return site, az, rg - - + + +def plot_results(sites, results, params): + """ + Function to plot results of radar target response analysis, also outputs RCS values to file + + :param dict params: config parameters + :return: list files_a: containing paths to asc backscatter files (none if not given) + :return: list files_d: containing paths to desc backscatter files (none if not given) + :return: dict sites: containing radar target sites and array with range and azimuth coordinates + (-999 is used for non-existent geometry if applicable) + """ + sitenames = sites.keys() + for i in range(0, len(sitenames)): + + # ascending and descending CRs in one plot + if params[cf.ASC_LIST] and params[cf.DESC_LIST]: + # read result arrays of parallel function, both geometries + name = results[i][0] + cr_pos_a = results[i][1] + avgI_a = results[i][2] + rcs_a = results[i][3] + scr_a = results[i][4] + clt_a = results[i][5] + t_a = results[i][6] + cr_new_a = results[i][7] + cr_pos_d = results[i][8] + avgI_d = results[i][9] + rcs_d = results[i][10] + scr_d = results[i][11] + clt_d = results[i][12] + t_d = results[i][13] + cr_new_d = results[i][14] + + # add new coords to sites dictionary + cr = np.array([cr_new_a, cr_new_d]) + sites[name] = cr + + # Visualisation + print('Site %s' % name) + # Plot mean intensity image + plot_mean_intensity2(avgI_a, avgI_d, cr_pos_a, cr_pos_d, params[cf.TARG_WIN_SZ], params[cf.CLT_WIN_SZ], name, + params[cf.OUT_DIR]) + + # extract start and end date + start_time = min(t_a[0], t_d[0]) + end_time = max(t_a[-1], t_d[-1]) + margin = (end_time - start_time) / 50 + start = start_time - margin + end = end_time + margin + + # Plot average clutter time series + plot_clutter2(t_a, t_d, clt_a, clt_d, start, end, name, params[cf.OUT_DIR]) + # Plot scr time series + plot_scr2(t_a, t_d, scr_a, scr_d, start, end, name, params[cf.OUT_DIR]) + # Plot rcs time series + plot_rcs2(t_a, t_d, rcs_a, rcs_d, start, end, name, params[cf.OUT_DIR]) + + # write RCS data to file + filename_out = params[cf.OUT_DIR] + "/rcs_values_" + name + "_" + "Ascending.txt" + fout = open(filename_out, 'w') + for time, value in zip(t_a, rcs_a): + timestr = time.strftime("%Y%m%d") + fout.write("%s %f\n" % (timestr, value)) + fout.close() + filename_out = params[cf.OUT_DIR] + "/rcs_values_" + name + "_" + "Descending.txt" + fout = open(filename_out, 'w') + for time, value in zip(t_d, rcs_d): + timestr = time.strftime("%Y%m%d") + fout.write("%s %f\n" % (timestr, value)) + fout.close() + + # one geometry (ascending or descending) + else: + # read result arrays of parallel function, one geometry + name = results[i][0] + cr_pos = results[i][1] + avgI = results[i][2] + rcs = results[i][3] + scr = results[i][4] + clt = results[i][5] + t = results[i][6] + cr_new = results[i][7] + + # add new coords to sites dictionary + if params[cf.ASC_LIST]: + geom = 'Ascending' + cr = np.array([cr_new, [-999, -999]]) + if params[cf.DESC_LIST]: + geom = 'Descending' + cr = np.array([[-999, -999], cr_new]) + sites[name] = cr + + # Visualisation + print('Site %s' % name) + # Plot mean intensity image + plot_mean_intensity(avgI, cr_pos, params[cf.TARG_WIN_SZ], params[cf.CLT_WIN_SZ], name, params[cf.OUT_DIR]) + + # extract start and end date + start_time = t[0] + end_time = t[-1] + margin = (end_time - start_time) / 50 + start = start_time - margin + end = end_time + margin + + # Plot average clutter time series + plot_clutter(t, clt, start, end, name, geom, params[cf.OUT_DIR]) + # Plot scr time series + plot_scr(t, scr, start, end, name, geom, params[cf.OUT_DIR]) + # Plot rcs time series + plot_rcs(t, rcs, start, end, name, geom, params[cf.OUT_DIR]) + # Plot RCS_SCR time series + plot_rcs_scr(t, rcs, scr, start, end, name, params[cf.OUT_DIR]) + + # write RCS data to file + filename_out = params[cf.OUT_DIR] + "/rcs_values_" + name + "_" + geom + ".txt" + fout = open(filename_out, 'w') + for time, value in zip(t, rcs): + timestr = time.strftime("%Y%m%d") + fout.write("%s %f\n" % (timestr, value)) + fout.close() + + def write_radar_coords(filename_init, filename, sites, geom): print("Writing new CR positions to textfile...") fout = open(filename,'w') From 576db4883c392c4a8577768c33c4184b3eba2bd3 Mon Sep 17 00:00:00 2001 From: Thomas Fuhrmann Date: Mon, 21 Dec 2020 14:22:26 +1100 Subject: [PATCH 19/33] added plotting parameters to config file --- Calc_CR_response.py | 17 ++++++++------ coral/config.py | 10 ++++++++ coral/dataio.py | 25 ++++++++------------ coral/plot.py | 55 +++++++++++--------------------------------- coral/plot2.py | 26 ++++++++++----------- data/coral_serf.conf | 14 ++++++++--- 6 files changed, 68 insertions(+), 79 deletions(-) diff --git a/Calc_CR_response.py b/Calc_CR_response.py index c868d0d..caf5777 100644 --- a/Calc_CR_response.py +++ b/Calc_CR_response.py @@ -34,7 +34,8 @@ # read config-file and convert parameters to required data type params = cf.get_config_params(config_file) - +print(params) +print(params[cf.YMIN_CLUTTER]) # General screen output print(f'Results will be saved into {params[cf.OUT_DIR]}') @@ -49,7 +50,7 @@ files_a, files_d, sites = read_input_files(params) -################################## +####################################### # function for parallel loop processing sitenames = sites.keys() # note that dictionaries are unsorted and the variable name is hence not ordered @@ -75,17 +76,19 @@ def processInput(name): num_cores = multiprocessing.cpu_count() # num_cores results in 32 on the NCI which in turn results in an error # hence the number of 16 cores is hard-coded here -results = Parallel(n_jobs=16)(delayed(processInput)(name) for name in sitenames) - -# create output dir if it doesn't exist -if not os.path.exists(params[cf.OUT_DIR]): - os.makedirs(params[cf.OUT_DIR]) +results = Parallel(n_jobs=params[cf.N_JOBS])(delayed(processInput)(name) for name in sitenames) +####################################### # extract results and plot images print(' ') print('Creating output data...') print(' ') + +# create output dir if it doesn't exist +if not os.path.exists(params[cf.OUT_DIR]): + os.makedirs(params[cf.OUT_DIR]) + plot_results(sites, results, params) diff --git a/coral/config.py b/coral/config.py index c311aa2..1374ee1 100644 --- a/coral/config.py +++ b/coral/config.py @@ -18,6 +18,11 @@ TARG_WIN_SZ = 'target_window_size' CLT_WIN_SZ = 'clutter_window_size' SUB_IM = 'sub_image_size' +N_JOBS = 'n_jobs' +YMAX_RCS = 'ymax_rcs' +YMAX_SCR = 'ymax_scr' +YMIN_CLUTTER = 'ymin_clutter' +YMAX_CLUTTER = 'ymax_clutter' # Lookup to help convert args to correct type/defaults @@ -27,6 +32,11 @@ TARG_WIN_SZ: (int, 3), CLT_WIN_SZ: (int, 7), SUB_IM: (int, 51), + N_JOBS: (int, 16), + YMAX_RCS: (float, 35), + YMAX_SCR: (float, 30), + YMIN_CLUTTER: (float, -16), + YMAX_CLUTTER: (float, -2), } PATHS = [ diff --git a/coral/dataio.py b/coral/dataio.py index 99a20c9..0d5c228 100644 --- a/coral/dataio.py +++ b/coral/dataio.py @@ -186,11 +186,9 @@ def plot_results(sites, results, params): """ Function to plot results of radar target response analysis, also outputs RCS values to file + :param dict sites: containts site name and radar coordinates + :param: dict results: containing paths to asc backscatter files (none if not given) :param dict params: config parameters - :return: list files_a: containing paths to asc backscatter files (none if not given) - :return: list files_d: containing paths to desc backscatter files (none if not given) - :return: dict sites: containing radar target sites and array with range and azimuth coordinates - (-999 is used for non-existent geometry if applicable) """ sitenames = sites.keys() for i in range(0, len(sitenames)): @@ -221,8 +219,7 @@ def plot_results(sites, results, params): # Visualisation print('Site %s' % name) # Plot mean intensity image - plot_mean_intensity2(avgI_a, avgI_d, cr_pos_a, cr_pos_d, params[cf.TARG_WIN_SZ], params[cf.CLT_WIN_SZ], name, - params[cf.OUT_DIR]) + plot_mean_intensity2(avgI_a, avgI_d, cr_pos_a, cr_pos_d, name, params) # extract start and end date start_time = min(t_a[0], t_d[0]) @@ -232,11 +229,11 @@ def plot_results(sites, results, params): end = end_time + margin # Plot average clutter time series - plot_clutter2(t_a, t_d, clt_a, clt_d, start, end, name, params[cf.OUT_DIR]) + plot_clutter2(t_a, t_d, clt_a, clt_d, start, end, name, params) # Plot scr time series - plot_scr2(t_a, t_d, scr_a, scr_d, start, end, name, params[cf.OUT_DIR]) + plot_scr2(t_a, t_d, scr_a, scr_d, start, end, name, params) # Plot rcs time series - plot_rcs2(t_a, t_d, rcs_a, rcs_d, start, end, name, params[cf.OUT_DIR]) + plot_rcs2(t_a, t_d, rcs_a, rcs_d, start, end, name, params) # write RCS data to file filename_out = params[cf.OUT_DIR] + "/rcs_values_" + name + "_" + "Ascending.txt" @@ -276,7 +273,7 @@ def plot_results(sites, results, params): # Visualisation print('Site %s' % name) # Plot mean intensity image - plot_mean_intensity(avgI, cr_pos, params[cf.TARG_WIN_SZ], params[cf.CLT_WIN_SZ], name, params[cf.OUT_DIR]) + plot_mean_intensity(avgI, cr_pos, name, params) # extract start and end date start_time = t[0] @@ -286,13 +283,11 @@ def plot_results(sites, results, params): end = end_time + margin # Plot average clutter time series - plot_clutter(t, clt, start, end, name, geom, params[cf.OUT_DIR]) + plot_clutter(t, clt, start, end, name, geom, params) # Plot scr time series - plot_scr(t, scr, start, end, name, geom, params[cf.OUT_DIR]) + plot_scr(t, scr, start, end, name, geom, params) # Plot rcs time series - plot_rcs(t, rcs, start, end, name, geom, params[cf.OUT_DIR]) - # Plot RCS_SCR time series - plot_rcs_scr(t, rcs, scr, start, end, name, params[cf.OUT_DIR]) + plot_rcs(t, rcs, start, end, name, geom, params) # write RCS data to file filename_out = params[cf.OUT_DIR] + "/rcs_values_" + name + "_" + geom + ".txt" diff --git a/coral/plot.py b/coral/plot.py index ca09f73..573576a 100644 --- a/coral/plot.py +++ b/coral/plot.py @@ -5,11 +5,11 @@ matplotlib.use('Agg') from matplotlib import pyplot as plt from matplotlib.patches import RegularPolygon -from matplotlib.colors import LogNorm import numpy as np +from coral import config as cf -def plot_mean_intensity(avgI, cr_pos, targ_win_sz, clt_win_sz, name, path_out="./"): +def plot_mean_intensity(avgI, cr_pos, name, params): '''Plot image of mean SAR intensity''' # set black/white colormap for plots cmap = plt.set_cmap('gist_gray') @@ -22,11 +22,11 @@ def plot_mean_intensity(avgI, cr_pos, targ_win_sz, clt_win_sz, name, path_out=". #cax = ax2.matshow(avgI_d, vmin=-20, vmax=10, cmap=cmap) # define target window - p1 = RegularPolygon(cr_pos, 4, (targ_win_sz/2)+1, \ + p1 = RegularPolygon(cr_pos, 4, (params[cf.TARG_WIN_SZ]/2)+1, \ orientation = np.pi / 4, linewidth=1, \ edgecolor='r',facecolor='none') # define clutter window - p2 = RegularPolygon(cr_pos, 4, (clt_win_sz/2)+2, \ + p2 = RegularPolygon(cr_pos, 4, (params[cf.CLT_WIN_SZ]/2)+2, \ orientation = np.pi / 4, linewidth=1, \ edgecolor='y',facecolor='none') @@ -56,7 +56,7 @@ def plot_mean_intensity(avgI, cr_pos, targ_win_sz, clt_win_sz, name, path_out=". #fig.set_size_inches(w=6,h=4) # save PNG file - filename = path_out + "/mean_intensity_" + name + ".png" + filename = params[cf.OUT_DIR] + "/mean_intensity_" + name + ".png" fig.savefig(filename, dpi=300, bbox_inches='tight') # avoid "RuntimeWarning: More than 20 figures have been opened" @@ -66,40 +66,13 @@ def plot_mean_intensity(avgI, cr_pos, targ_win_sz, clt_win_sz, name, path_out=". return -def plot_rcs_scr(t, rcs, scr, start, end, name, path_out="./"): - '''Plot RCS and SCR time series''' - fig = plt.figure() - ax = fig.add_subplot(1,1,1) - plt.plot(t, rcs, 'ro-', label='RCS') - plt.plot(t, scr, 'bo-', label='SCR') - plt.xlim(start, end) - plt.ylim(0, 40) - plt.xlabel('Date') - plt.ylabel('RCS / SCR (dB)') - plt.legend(loc=4) - plt.grid(True) - plt.title('Corner Reflector response at %s' % name) - for label in ax.get_xticklabels(): - label.set_rotation(90) - - # save PNG file - filename = path_out + "/rcs_scr_" + name + ".png" - fig.savefig(filename, dpi=300, bbox_inches='tight') - - # avoid "RuntimeWarning: More than 20 figures have been opened" - # by closing all open figures - plt.close('all') - - return - - -def plot_clutter(t, clt, start, end, name, geom, path_out="./"): +def plot_clutter(t, clt, start, end, name, geom, params): '''Plot average clutter time series''' fig = plt.figure() ax = fig.add_subplot(1,1,1) plt.plot(t, clt, 'bo-', label=geom) plt.xlim(start, end) - plt.ylim(-16, -2) + plt.ylim(params[cf.YMIN_CLUTTER], params[cf.YMAX_CLUTTER]) plt.xlabel('Date') plt.ylabel('Average Clutter (dB)') plt.legend(loc=1) @@ -109,7 +82,7 @@ def plot_clutter(t, clt, start, end, name, geom, path_out="./"): label.set_rotation(90) # save PNG file - filename = path_out + "/clutter_" + name + ".png" + filename = params[cf.OUT_DIR] + "/clutter_" + name + ".png" fig.savefig(filename, dpi=300, bbox_inches='tight') # avoid "RuntimeWarning: More than 20 figures have been opened" @@ -119,13 +92,13 @@ def plot_clutter(t, clt, start, end, name, geom, path_out="./"): return -def plot_scr(t, scr, start, end, name, geom, path_out="./"): +def plot_scr(t, scr, start, end, name, geom, params): '''Plot RCS time series''' fig = plt.figure() ax = fig.add_subplot(1,1,1) plt.plot(t, scr, 'bo-', label=geom) plt.xlim(start, end) - plt.ylim(0, 35) + plt.ylim(0, params[cf.YMAX_SCR]) plt.xlabel('Date') plt.ylabel('SCR (dB)') plt.legend(loc=4) @@ -135,7 +108,7 @@ def plot_scr(t, scr, start, end, name, geom, path_out="./"): label.set_rotation(90) # save PNG file - filename = path_out + "/scr_" + name + ".png" + filename = params[cf.OUT_DIR] + "/scr_" + name + ".png" fig.savefig(filename, dpi=300, bbox_inches='tight') # avoid "RuntimeWarning: More than 20 figures have been opened" @@ -145,13 +118,13 @@ def plot_scr(t, scr, start, end, name, geom, path_out="./"): return -def plot_rcs(t, rcs, start, end, name, geom, path_out="./"): +def plot_rcs(t, rcs, start, end, name, geom, params): '''Plot RCS time series''' fig = plt.figure() ax = fig.add_subplot(1,1,1) plt.plot(t, rcs, 'bo-', label=geom) plt.xlim(start, end) - plt.ylim(0, 35) + plt.ylim(0, params[cf.YMAX_RCS]) plt.xlabel('Date') plt.ylabel('RCS (dB$\mathregular{m^2}$)') plt.legend(loc=4) @@ -161,7 +134,7 @@ def plot_rcs(t, rcs, start, end, name, geom, path_out="./"): label.set_rotation(90) # save PNG file - filename = path_out + "/rcs_" + name + ".png" + filename = params[cf.OUT_DIR] + "/rcs_" + name + ".png" fig.savefig(filename, dpi=300, bbox_inches='tight') # avoid "RuntimeWarning: More than 20 figures have been opened" diff --git a/coral/plot2.py b/coral/plot2.py index 0902a6c..d878c4b 100644 --- a/coral/plot2.py +++ b/coral/plot2.py @@ -5,11 +5,11 @@ matplotlib.use('Agg') from matplotlib import pyplot as plt from matplotlib.patches import RegularPolygon -from matplotlib.colors import LogNorm import numpy as np +from coral import config as cf -def plot_mean_intensity2(avgI_a, avgI_d, cr_pos_a, cr_pos_d, targ_win_sz, clt_win_sz, name, path_out="./"): +def plot_mean_intensity2(avgI_a, avgI_d, cr_pos_a, cr_pos_d, name, params): '''Plot image of mean SAR intensity''' # set black/white colormap for plots cmap = plt.set_cmap('gist_gray') @@ -21,19 +21,19 @@ def plot_mean_intensity2(avgI_a, avgI_d, cr_pos_a, cr_pos_d, targ_win_sz, clt_wi im2 = ax2.matshow(avgI_a, vmin=-20, vmax=10, cmap=cmap) # define target window - p1 = RegularPolygon(cr_pos_d, 4, (targ_win_sz/2)+2, \ + p1 = RegularPolygon(cr_pos_d, 4, (params[cf.TARG_WIN_SZ]/2)+2, \ orientation = np.pi / 4, linewidth=1, \ edgecolor='r',facecolor='none') # define clutter window - p2 = RegularPolygon(cr_pos_d, 4, (clt_win_sz/2)+3, \ + p2 = RegularPolygon(cr_pos_d, 4, (params[cf.CLT_WIN_SZ]/2)+3, \ orientation = np.pi / 4, linewidth=1, \ edgecolor='y',facecolor='none') # define target window - p3 = RegularPolygon(cr_pos_a, 4, (targ_win_sz/2)+2, \ + p3 = RegularPolygon(cr_pos_a, 4, (params[cf.TARG_WIN_SZ]/2)+2, \ orientation = np.pi / 4, linewidth=1, \ edgecolor='r',facecolor='none') # define clutter window - p4 = RegularPolygon(cr_pos_a, 4, (clt_win_sz/2)+3, \ + p4 = RegularPolygon(cr_pos_a, 4, (params[cf.CLT_WIN_SZ]/2)+3, \ orientation = np.pi / 4, linewidth=1, \ edgecolor='y',facecolor='none') # add windows to plot @@ -61,7 +61,7 @@ def plot_mean_intensity2(avgI_a, avgI_d, cr_pos_a, cr_pos_d, targ_win_sz, clt_wi ax2.xaxis.set_tick_params(labeltop='off', labelbottom='on') # save PNG file - filename = path_out + "/mean_intensity_" + name + ".png" + filename = params[cf.OUT_DIR] + "/mean_intensity_" + name + ".png" fig.savefig(filename, dpi=300, bbox_inches='tight') # avoid "RuntimeWarning: More than 20 figures have been opened" @@ -71,14 +71,14 @@ def plot_mean_intensity2(avgI_a, avgI_d, cr_pos_a, cr_pos_d, targ_win_sz, clt_wi return -def plot_clutter2(t_a, t_d, clt_a, clt_d, start, end, name, path_out="./"): +def plot_clutter2(t_a, t_d, clt_a, clt_d, start, end, name, params): '''Plot average clutter time series''' fig = plt.figure() ax = fig.add_subplot(1,1,1) plt.plot(t_a, clt_a, 'ro-', label='Asc') plt.plot(t_d, clt_d, 'bo-', label='Desc') plt.xlim(start, end) - plt.ylim(-16, -2) + plt.ylim(params[cf.YMIN_CLUTTER], params[cf.YMAX_CLUTTER]) plt.xlabel('Date') plt.ylabel('Average Clutter (dB)') plt.legend(loc=1) @@ -98,14 +98,14 @@ def plot_clutter2(t_a, t_d, clt_a, clt_d, start, end, name, path_out="./"): return -def plot_scr2(t_a, t_d, scr_a, scr_d, start, end, name, path_out="./"): +def plot_scr2(t_a, t_d, scr_a, scr_d, start, end, name, params): '''Plot RCS time series''' fig = plt.figure() ax = fig.add_subplot(1,1,1) plt.plot(t_a, scr_a, 'ro-', label='Ascending') plt.plot(t_d, scr_d, 'bo-', label='Descending') plt.xlim(start, end) - plt.ylim(0, 35) + plt.ylim(0, params[cf.YMAX_SCR]) plt.xlabel('Date') plt.ylabel('SCR (dB)') plt.legend(loc=4) @@ -125,14 +125,14 @@ def plot_scr2(t_a, t_d, scr_a, scr_d, start, end, name, path_out="./"): return -def plot_rcs2(t_a, t_d, rcs_a, rcs_d, start, end, name, path_out="./"): +def plot_rcs2(t_a, t_d, rcs_a, rcs_d, start, end, name, params): '''Plot RCS time series''' fig = plt.figure() ax = fig.add_subplot(1,1,1) plt.plot(t_a, rcs_a, 'ro-', label='Ascending') plt.plot(t_d, rcs_d, 'bo-', label='Descending') plt.xlim(start, end) - plt.ylim(0, 35) + plt.ylim(0, params[cf.YMAX_RCS]) plt.xlabel('Date') plt.ylabel('RCS (dB$\mathregular{m^2}$)') plt.legend(loc=4) diff --git a/data/coral_serf.conf b/data/coral_serf.conf index 5cb0a33..290f8d1 100644 --- a/data/coral_serf.conf +++ b/data/coral_serf.conf @@ -25,9 +25,17 @@ path_out: data/out # Parameters: #%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% -# target window size (pixels) +# processing parameters +# target window size (pixels, default for multilooked data: 3) target_window_size: 3 -# clutter window size (pixels) +# clutter window size (pixels, default for multilooked data: 11) clutter_window_size: 11 -# cropped image size used for plotting (pixels) +# cropped image size used for plotting (pixels, default for multilooked data: 51) sub_image_size: 51 +# number of jobs for parallel processing (default: 16) +n_jobs: 16 +# plotting parameters (y-axis limits in dB) +ymax_rcs: 35 +ymax_scr: 30 +ymin_clutter: -16 +ymax_clutter: -2 \ No newline at end of file From 9c2e1c3dae66fd69e2fe647650aa8e0dbea9b13d Mon Sep 17 00:00:00 2001 From: Thomas Fuhrmann Date: Mon, 21 Dec 2020 14:29:20 +1100 Subject: [PATCH 20/33] added docstrings and descriptions to major functions --- coral/config.py | 25 ++++++++----------------- coral/dataio.py | 1 - 2 files changed, 8 insertions(+), 18 deletions(-) diff --git a/coral/config.py b/coral/config.py index 1374ee1..370ff94 100644 --- a/coral/config.py +++ b/coral/config.py @@ -27,7 +27,6 @@ # Lookup to help convert args to correct type/defaults # format is key : (conversion, default value) -# None = no conversion PARAM_CONVERSION = { TARG_WIN_SZ: (int, 3), CLT_WIN_SZ: (int, 7), @@ -39,6 +38,7 @@ YMAX_CLUTTER: (float, -2), } +# path variables PATHS = [ ASC_LIST, DESC_LIST, @@ -52,13 +52,10 @@ def get_config_params(path: str) -> Dict: """ - Reads the parameters file provided by the user and converts it into - a dictionary. + Reads the parameters file provided by the user and converts it into a dictionary. - Args: - path: Absolute path to the parameters file. - Returns: - A dictionary of parameters. + :param str path: path to config file + :return: dict params: config parameters """ txt = '' with open(path, 'r') as inputFile: @@ -78,11 +75,8 @@ def _parse_conf_file(content) -> Dict: """ Converts the parameters from their text form into a dictionary. - Args: - content: Parameters as text. - - Returns: - A dictionary of parameters. + :param str content: Parameters as text + :return: dict params: config parameters """ def _is_valid(line): @@ -113,11 +107,8 @@ def _parse_pars(pars) -> Dict: Takes dictionary of parameters, converting values to required type and providing defaults for missing values. - Args: - pars: Parameters dictionary. - - Returns: - Dictionary of converted (and optionally validated) parameters. + :param dict pars: config parameters (as strings) + :return: dict params: converted config parameters (according to PARAM_CONVERSION lookup table) """ # Fallback to default for missing values and perform conversion. for k in PARAM_CONVERSION: diff --git a/coral/dataio.py b/coral/dataio.py index 0d5c228..392d98a 100644 --- a/coral/dataio.py +++ b/coral/dataio.py @@ -6,7 +6,6 @@ import rasterio as rio from rasterio.windows import Window import sys, os -from coral import config as cf from coral.plot import * from coral.plot2 import * From 60786b2094db1db74a9bb8688ef45f611fef2bd0 Mon Sep 17 00:00:00 2001 From: Thomas Fuhrmann Date: Tue, 22 Dec 2020 17:35:28 +1100 Subject: [PATCH 21/33] added tests: reading the config file, reading input files --- Calc_CR_response.py | 2 -- tests/test_coral.py | 33 ++++++++++++++++++++++++++++++--- 2 files changed, 30 insertions(+), 5 deletions(-) diff --git a/Calc_CR_response.py b/Calc_CR_response.py index caf5777..c659f9d 100644 --- a/Calc_CR_response.py +++ b/Calc_CR_response.py @@ -34,8 +34,6 @@ # read config-file and convert parameters to required data type params = cf.get_config_params(config_file) -print(params) -print(params[cf.YMIN_CLUTTER]) # General screen output print(f'Results will be saved into {params[cf.OUT_DIR]}') diff --git a/tests/test_coral.py b/tests/test_coral.py index fb06d85..ff07e47 100644 --- a/tests/test_coral.py +++ b/tests/test_coral.py @@ -5,7 +5,8 @@ import os.path import numpy as np from coral.corner_reflector import * -from coral.dataio import readpar, readmli, read_radar_coords, write_radar_coords +from coral.dataio import readpar, readmli, read_radar_coords, write_radar_coords, read_input_files +from coral import config as cf class TestCoral(unittest.TestCase): @classmethod @@ -180,7 +181,33 @@ def test_loop(self): self.assertEqual(cr_pos[0], 52) self.assertEqual(cr_pos[1], 50) - + +class TestConfigFile(unittest.TestCase): + @classmethod + def setUpClass(cls): + cls.file_in = "data/coral_serf.conf" + cls.sites = {'SERF': np.array([[-999, -999], [88, 111]])} + + def test_config_file(self): + '''test function to read parameters from the config-file''' + params = cf.get_config_params(self.file_in) + self.assertEqual(params[cf.SUB_IM], 51) + self.assertEqual(params[cf.ASC_LIST], None) + self.assertEqual(params[cf.DESC_LIST], 'data/mli_desc.list') + + def test_read_input_files(self): + '''test function to read input files from config-file''' + params = cf.get_config_params(self.file_in) + files_a, files_d, sites = read_input_files(params) + self.assertEqual(files_a, None) + self.assertEqual(files_d[0], './data/20180726_VV.mli') + self.assertEqual(files_d[8], './data/20181030_VV.mli') + self.assertEqual(self.sites.keys(), sites.keys()) + array1 = sites.get('SERF') + array2 = self.sites.get('SERF') + np.testing.assert_array_equal(array1, array2) + + class TestCRfiles(unittest.TestCase): @classmethod def setUpClass(cls): @@ -192,7 +219,7 @@ def setUpClass(cls): cls.geom = "desc" def test_cr_file(self): - '''test the calculation loop function''' + '''test function to read and write the radar coordinate files''' # open reduced CR coordinate file site, az, rg = read_radar_coords(self.file_in1) self.assertEqual(int(rg[0]), 87) From 88801ad085bed69ba82dfb5a7e6a3637a635ac9d Mon Sep 17 00:00:00 2001 From: Thomas Fuhrmann Date: Thu, 24 Dec 2020 09:45:51 +1100 Subject: [PATCH 22/33] added tests for plot fucntions (single geometry) --- tests/test_coral.py | 73 +++++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 71 insertions(+), 2 deletions(-) diff --git a/tests/test_coral.py b/tests/test_coral.py index ff07e47..47a25ec 100644 --- a/tests/test_coral.py +++ b/tests/test_coral.py @@ -4,9 +4,13 @@ import unittest, glob import os.path import numpy as np +import cv2 # requires opencv, e.g. use: pip install --user opencv-python-headless from coral.corner_reflector import * from coral.dataio import readpar, readmli, read_radar_coords, write_radar_coords, read_input_files -from coral import config as cf +from coral.plot import * +from coral.plot2 import * + + class TestCoral(unittest.TestCase): @classmethod @@ -124,7 +128,6 @@ def setUpClass(cls): cls.files = [] for file in glob.glob("data/*.mli"): cls.files.append(file) - cls.files.sort() cls.cr = [ 87, 110] cls.sub_im = 51 @@ -239,5 +242,71 @@ def test_cr_file(self): os.remove(self.file_out2) +class TestPlotting(unittest.TestCase): + @classmethod + def setUpClass(cls): + file_in = "data/coral_serf.conf" + cls.name = 'SERF' + cls.geom = 'Descending' + cr = [88, 111] # this is used as initial coordinate + files = [] + for file in glob.glob("data/*.mli"): + files.append(file) + files.sort() + cls.params = cf.get_config_params(file_in) + cls.params[cf.OUT_DIR] = './tests/' + cls.avgI, cls.rcs, cls.scr, cls.clt, cls.t, cls.cr_new, cls.cr_pos = loop(files, cls.params[cf.SUB_IM], cr, \ + cls.params[cf.TARG_WIN_SZ], cls.params[cf.CLT_WIN_SZ]) + start_time = cls.t[0] + end_time = cls.t[-1] + margin = (end_time - start_time) / 50 + cls.start = start_time - margin + cls.end = end_time + margin + + def test_plot_mean_intensity(self): + '''test function to plot mean intensity (single geometry)''' + plot_mean_intensity(self.avgI, self.cr_pos, self.name, self.params) + ref_image = './tests/ref_images/mean_intensity_SERF.png' + act_image = './tests/mean_intensity_SERF.png' + imageA = cv2.imread(ref_image) + imageB = cv2.imread(act_image) + err = np.sum((imageA.astype("float") - imageB.astype("float")) ** 2) # squared sum of differences + self.assertEqual(err, 0.0) + os.remove(act_image) + + def test_plot_clutter(self): + '''test function to plot clutter time series (single geometry)''' + plot_clutter(self.t, self.clt, self.start, self.end, self.name, self.geom, self.params) + ref_image = './tests/ref_images/clutter_SERF.png' + act_image = './tests/clutter_SERF.png' + imageA = cv2.imread(ref_image) + imageB = cv2.imread(act_image) + err = np.sum((imageA.astype("float") - imageB.astype("float")) ** 2) # squared sum of differences + self.assertEqual(err, 0.0) + os.remove(act_image) + + def test_plot_scr(self): + '''test function to plot SCR (single geometry)''' + plot_scr(self.t, self.scr, self.start, self.end, self.name, self.geom, self.params) + ref_image = './tests/ref_images/scr_SERF.png' + act_image = './tests/scr_SERF.png' + imageA = cv2.imread(ref_image) + imageB = cv2.imread(act_image) + err = np.sum((imageA.astype("float") - imageB.astype("float")) ** 2) # squared sum of differences + self.assertEqual(err, 0.0) + os.remove(act_image) + + def test_plot_rcs(self): + '''test function to plot SCR (single geometry)''' + plot_rcs(self.t, self.rcs, self.start, self.end, self.name, self.geom, self.params) + ref_image = './tests/ref_images/rcs_SERF.png' + act_image = './tests/rcs_SERF.png' + imageA = cv2.imread(ref_image) + imageB = cv2.imread(act_image) + err = np.sum((imageA.astype("float") - imageB.astype("float")) ** 2) # squared sum of differences + self.assertEqual(err, 0.0) + os.remove(act_image) + + if __name__ == '__main__': unittest.main() From f25f7338bbd428822bae4080bdc5374969cd77dd Mon Sep 17 00:00:00 2001 From: Thomas Fuhrmann Date: Thu, 24 Dec 2020 09:50:45 +1100 Subject: [PATCH 23/33] added reference images in test folder to repo --- tests/ref_images/clutter_SERF.png | Bin 0 -> 98136 bytes tests/ref_images/mean_intensity_SERF.png | Bin 0 -> 112095 bytes tests/ref_images/rcs_SERF.png | Bin 0 -> 112344 bytes tests/ref_images/scr_SERF.png | Bin 0 -> 112319 bytes 4 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 tests/ref_images/clutter_SERF.png create mode 100644 tests/ref_images/mean_intensity_SERF.png create mode 100644 tests/ref_images/rcs_SERF.png create mode 100644 tests/ref_images/scr_SERF.png diff --git a/tests/ref_images/clutter_SERF.png b/tests/ref_images/clutter_SERF.png new file mode 100644 index 0000000000000000000000000000000000000000..92e6a528c54ca448c3ac07bd2ec19080ab0313bd GIT binary patch literal 98136 zcmeFZXHb+`)HRAajt+{9W59r54uGH{Do9dP1eBbiK|~}rAW^boz%hZMfGAN#a?UhC 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z;56FPPo6wcDaRYS2{RKNuYnpDM%BE(P=zA)t?d)T)xo;1i=ipNE39emRwzKGt}dE| zLJaOHQ;HJ3&~;C;oYahdBZ_{jp9$gk^!b=Z8bL%LdT5BQqTb%)6a|1wMNC`7gV`#! z%McT+;7JIM8MnMn6vsBZw79g&GM=!>V*js?7Ia3m3tkChRUJekih}hW&UM}Wl zK^J~1!3?DCqy%^fY}2Tc`y}`R0QEZYSV6R>p>{krwdoPwwsZEeYx`vzJ)q_((CW{_ zY!*wq(&RbZnDyAX z)LaA4&cup7-ISgj+j@s_^SF~80BMq_$2L%a8)6_xu#>c6pyq@IHzHM2M)|5aKBezA zG*&{Lb0|DZ4FwIC?#;;vn!*G>f}O7gwe^)r<>a7!)m-A}Pm#)&HDB`asVAz!?LOw- zy_7ZA&(r8RQ>Cm9^6e{tE2uU8ecvV)Hj_7b3yp=b&@&In!>k~vh#bl4!jLZ_{+W33 zHu5w>Ua?A(QCu@N7%g;oVZIs-S*9inD6a@6x_a*@gFNe`^XDQal>(n)d9z#;pML?y__4}Y#gcu_S!jd$8j(&{H z==_Hnn4ka&T1(7WCZ!lO?KC>)(1N7ap@KsTL#kK=CKDVB<`totR4ylG7&f-1UZgHC z8rq>K^@b2>2vq}%YYsk>CQl}$ABLW*sz(8a=HsuT{6|Dw8TvR0|M&H;|47&wy6}I& l@%jH>;jO^`YQ+Xb-egxyev>@vC%T5#THQ5wR_#9de*l*a^%VdB literal 0 HcmV?d00001 From a7a4574c4569a9395cabe3ed55855b440350c2b9 Mon Sep 17 00:00:00 2001 From: tfuhrmann Date: Thu, 24 Dec 2020 10:06:09 +1100 Subject: [PATCH 24/33] Update .travis.yml --- .travis.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.travis.yml b/.travis.yml index 1493ef2..684fab4 100644 --- a/.travis.yml +++ b/.travis.yml @@ -14,6 +14,7 @@ install: - conda create -q -n test-environment python=$TRAVIS_PYTHON_VERSION numpy matplotlib - source activate test-environment - pip install pytest pytest-cov coveralls rasterio + - pip install pytest pytest-cov coveralls opencv-python-headless script: pytest --cov-report term-missing:skip-covered --cov=coral tests/ From 4b94ac0f37af3282d636955ec768791e0b51595f Mon Sep 17 00:00:00 2001 From: tfuhrmann Date: Thu, 24 Dec 2020 10:53:34 +1100 Subject: [PATCH 25/33] Update .travis.yml --- .travis.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.travis.yml b/.travis.yml index 684fab4..14c0136 100644 --- a/.travis.yml +++ b/.travis.yml @@ -15,6 +15,7 @@ install: - source activate test-environment - pip install pytest pytest-cov coveralls rasterio - pip install pytest pytest-cov coveralls opencv-python-headless + - matplotlib.use('Agg') script: pytest --cov-report term-missing:skip-covered --cov=coral tests/ From fa0223c59c880a0e665f201ed57195e14a718977 Mon Sep 17 00:00:00 2001 From: tfuhrmann Date: Thu, 24 Dec 2020 11:03:37 +1100 Subject: [PATCH 26/33] Update .travis.yml --- .travis.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.travis.yml b/.travis.yml index 14c0136..aa0d91d 100644 --- a/.travis.yml +++ b/.travis.yml @@ -15,7 +15,7 @@ install: - source activate test-environment - pip install pytest pytest-cov coveralls rasterio - pip install pytest pytest-cov coveralls opencv-python-headless - - matplotlib.use('Agg') + - export MPLBACKEND=Agg script: pytest --cov-report term-missing:skip-covered --cov=coral tests/ From 4fe9e318b30954bce135c1e71b822cc780a4fbf0 Mon Sep 17 00:00:00 2001 From: tfuhrmann Date: Thu, 24 Dec 2020 11:16:11 +1100 Subject: [PATCH 27/33] Update .travis.yml --- .travis.yml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/.travis.yml b/.travis.yml index aa0d91d..4412fd9 100644 --- a/.travis.yml +++ b/.travis.yml @@ -15,10 +15,9 @@ install: - source activate test-environment - pip install pytest pytest-cov coveralls rasterio - pip install pytest pytest-cov coveralls opencv-python-headless - - export MPLBACKEND=Agg script: - pytest --cov-report term-missing:skip-covered --cov=coral tests/ + pytest --cov-report --mpl term-missing:skip-covered --cov=coral tests/ after_success: - coveralls From 79283a576b2de5433f7605ad6509baf5cddafa55 Mon Sep 17 00:00:00 2001 From: tfuhrmann Date: Thu, 24 Dec 2020 11:22:25 +1100 Subject: [PATCH 28/33] Update .travis.yml --- .travis.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.travis.yml b/.travis.yml index 4412fd9..ad01e00 100644 --- a/.travis.yml +++ b/.travis.yml @@ -17,7 +17,7 @@ install: - pip install pytest pytest-cov coveralls opencv-python-headless script: - pytest --cov-report --mpl term-missing:skip-covered --cov=coral tests/ + pytest --mpl --cov-report term-missing:skip-covered --cov=coral tests/ after_success: - coveralls From e49be0503eec685177b6f77357141da40c3dc764 Mon Sep 17 00:00:00 2001 From: tfuhrmann Date: Thu, 24 Dec 2020 11:30:23 +1100 Subject: [PATCH 29/33] Update .travis.yml --- .travis.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.travis.yml b/.travis.yml index ad01e00..684fab4 100644 --- a/.travis.yml +++ b/.travis.yml @@ -17,7 +17,7 @@ install: - pip install pytest pytest-cov coveralls opencv-python-headless script: - pytest --mpl --cov-report term-missing:skip-covered --cov=coral tests/ + pytest --cov-report term-missing:skip-covered --cov=coral tests/ after_success: - coveralls From e2c413686ddb237f703f12e8215c4499d0905208 Mon Sep 17 00:00:00 2001 From: Thomas Fuhrmann Date: Thu, 24 Dec 2020 11:54:25 +1100 Subject: [PATCH 30/33] added asc/desc config file and output, added tests for asc/desc plots --- coral/dataio.py | 1 + coral/plot.py | 2 +- coral/plot2.py | 8 +- data/coral_serf2.conf | 41 ++++++++++ data/mli_asc_mockup.list | 9 ++ data/out2/rcs_values_SERF_Ascending.txt | 9 ++ data/out2/rcs_values_SERF_Descending.txt | 9 ++ .../site_lon_lat_hgt_date1_date2_az_rg.txt | 1 + ...site_lon_lat_hgt_date1_date2_az_rg_Asc.txt | 1 + ..._lat_hgt_date1_date2_az_rg_initial_Asc.txt | 1 + tests/ref_images/clutter_SERF2.png | Bin 0 -> 105695 bytes tests/ref_images/mean_intensity_SERF2.png | Bin 0 -> 134413 bytes tests/ref_images/rcs_SERF2.png | Bin 0 -> 128313 bytes tests/ref_images/scr_SERF2.png | Bin 0 -> 128933 bytes tests/test_coral.py | 77 +++++++++++++++++- 15 files changed, 153 insertions(+), 6 deletions(-) create mode 100644 data/coral_serf2.conf create mode 100644 data/mli_asc_mockup.list create mode 100644 data/out2/rcs_values_SERF_Ascending.txt create mode 100644 data/out2/rcs_values_SERF_Descending.txt create mode 100644 data/out2/site_lon_lat_hgt_date1_date2_az_rg.txt create mode 100644 data/out2/site_lon_lat_hgt_date1_date2_az_rg_Asc.txt create mode 100644 data/site_lon_lat_hgt_date1_date2_az_rg_initial_Asc.txt create mode 100644 tests/ref_images/clutter_SERF2.png create mode 100644 tests/ref_images/mean_intensity_SERF2.png create mode 100644 tests/ref_images/rcs_SERF2.png create mode 100644 tests/ref_images/scr_SERF2.png diff --git a/coral/dataio.py b/coral/dataio.py index 392d98a..0801808 100644 --- a/coral/dataio.py +++ b/coral/dataio.py @@ -32,6 +32,7 @@ def read_input_files(params): files_a = [line.rstrip() for line in f_in] files_a.sort() # read the ascending-pass radar coordinates of targets + filename = params[cf.ASC_CR_FILE_ORIG] if not os.path.exists(params[cf.ASC_CR_FILE_ORIG]): raise Exception(f'{params[cf.ASC_CR_FILE_ORIG]} does not exist') else: diff --git a/coral/plot.py b/coral/plot.py index 573576a..1954104 100644 --- a/coral/plot.py +++ b/coral/plot.py @@ -2,7 +2,7 @@ This python module contains functions for plotting CoRAL output """ import matplotlib -matplotlib.use('Agg') +matplotlib.use('agg') from matplotlib import pyplot as plt from matplotlib.patches import RegularPolygon import numpy as np diff --git a/coral/plot2.py b/coral/plot2.py index d878c4b..77ff65a 100644 --- a/coral/plot2.py +++ b/coral/plot2.py @@ -2,7 +2,7 @@ This python module contains functions for plotting CoRAL output """ import matplotlib -matplotlib.use('Agg') +matplotlib.use('agg') from matplotlib import pyplot as plt from matplotlib.patches import RegularPolygon import numpy as np @@ -88,7 +88,7 @@ def plot_clutter2(t_a, t_d, clt_a, clt_d, start, end, name, params): label.set_rotation(90) # save PNG file - filename = path_out + "/clutter_" + name + ".png" + filename = params[cf.OUT_DIR] + "/clutter_" + name + ".png" fig.savefig(filename, dpi=300, bbox_inches='tight') # avoid "RuntimeWarning: More than 20 figures have been opened" @@ -115,7 +115,7 @@ def plot_scr2(t_a, t_d, scr_a, scr_d, start, end, name, params): label.set_rotation(90) # save PNG file - filename = path_out + "/scr_" + name + ".png" + filename = params[cf.OUT_DIR] + "/scr_" + name + ".png" fig.savefig(filename, dpi=300, bbox_inches='tight') # avoid "RuntimeWarning: More than 20 figures have been opened" @@ -142,7 +142,7 @@ def plot_rcs2(t_a, t_d, rcs_a, rcs_d, start, end, name, params): label.set_rotation(90) # save PNG file - filename = path_out + "/rcs_" + name + ".png" + filename = params[cf.OUT_DIR] + "/rcs_" + name + ".png" fig.savefig(filename, dpi=300, bbox_inches='tight') # avoid "RuntimeWarning: More than 20 figures have been opened" diff --git a/data/coral_serf2.conf b/data/coral_serf2.conf new file mode 100644 index 0000000..5f63477 --- /dev/null +++ b/data/coral_serf2.conf @@ -0,0 +1,41 @@ +#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +# CoRAL configuration file for Corner Reflector site SERF +#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +# Input/Output file locations: +#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +# file containing the list of asc and/or desc SAR intensity images +# leave blank, if one image geometry is not used +backscatter_data_asc: data/mli_asc_mockup.list +backscatter_data_desc: data/mli_desc.list + +# files containing initial and updated radar coordinates of CRs +# leave blank, if one image geometry is not used +cr_file_asc: data/site_lon_lat_hgt_date1_date2_az_rg_initial_Asc.txt +cr_file_asc_new: data/out2/site_lon_lat_hgt_date1_date2_az_rg_Asc.txt +cr_file_desc: data/site_lon_lat_hgt_date1_date2_az_rg_initial.txt +cr_file_desc_new: data/out2/site_lon_lat_hgt_date1_date2_az_rg.txt + +# output directory +path_out: data/out2 + +#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +# Parameters: +#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +# processing parameters +# target window size (pixels, default for multilooked data: 3) +target_window_size: 3 +# clutter window size (pixels, default for multilooked data: 11) +clutter_window_size: 11 +# cropped image size used for plotting (pixels, default for multilooked data: 51) +sub_image_size: 51 +# number of jobs for parallel processing (default: 16) +n_jobs: 16 +# plotting parameters (y-axis limits in dB) +ymax_rcs: 35 +ymax_scr: 30 +ymin_clutter: -16 +ymax_clutter: -2 \ No newline at end of file diff --git a/data/mli_asc_mockup.list b/data/mli_asc_mockup.list new file mode 100644 index 0000000..2372343 --- /dev/null +++ b/data/mli_asc_mockup.list @@ -0,0 +1,9 @@ +./data/20180726_VV.tif +./data/20180807_VV.tif +./data/20180819_VV.tif +./data/20180831_VV.tif +./data/20180912_VV.tif +./data/20180924_VV.tif +./data/20181006_VV.tif +./data/20181018_VV.tif +./data/20181030_VV.tif diff --git a/data/out2/rcs_values_SERF_Ascending.txt b/data/out2/rcs_values_SERF_Ascending.txt new file mode 100644 index 0000000..73a7d99 --- /dev/null +++ b/data/out2/rcs_values_SERF_Ascending.txt @@ -0,0 +1,9 @@ +20180726 0.000000 +20180807 7.802286 +20180819 36.942255 +20180831 35.464039 +20180912 31.161429 +20180924 32.031533 +20181006 27.546944 +20181018 16.298440 +20181030 24.312611 diff --git a/data/out2/rcs_values_SERF_Descending.txt b/data/out2/rcs_values_SERF_Descending.txt new file mode 100644 index 0000000..73a7d99 --- /dev/null +++ b/data/out2/rcs_values_SERF_Descending.txt @@ -0,0 +1,9 @@ +20180726 0.000000 +20180807 7.802286 +20180819 36.942255 +20180831 35.464039 +20180912 31.161429 +20180924 32.031533 +20181006 27.546944 +20181018 16.298440 +20181030 24.312611 diff --git a/data/out2/site_lon_lat_hgt_date1_date2_az_rg.txt b/data/out2/site_lon_lat_hgt_date1_date2_az_rg.txt new file mode 100644 index 0000000..d183e1c --- /dev/null +++ b/data/out2/site_lon_lat_hgt_date1_date2_az_rg.txt @@ -0,0 +1 @@ +SERF 123.45 -12.34 67.89 20180701 99999999 110 87 diff --git a/data/out2/site_lon_lat_hgt_date1_date2_az_rg_Asc.txt b/data/out2/site_lon_lat_hgt_date1_date2_az_rg_Asc.txt new file mode 100644 index 0000000..d183e1c --- /dev/null +++ b/data/out2/site_lon_lat_hgt_date1_date2_az_rg_Asc.txt @@ -0,0 +1 @@ +SERF 123.45 -12.34 67.89 20180701 99999999 110 87 diff --git a/data/site_lon_lat_hgt_date1_date2_az_rg_initial_Asc.txt b/data/site_lon_lat_hgt_date1_date2_az_rg_initial_Asc.txt new file mode 100644 index 0000000..5a8c9ec --- /dev/null +++ b/data/site_lon_lat_hgt_date1_date2_az_rg_initial_Asc.txt @@ -0,0 +1 @@ +SERF 123.45 -12.34 67.89 20180701 99999999 111 88 \ No newline at end of file diff --git a/tests/ref_images/clutter_SERF2.png b/tests/ref_images/clutter_SERF2.png new file mode 100644 index 0000000000000000000000000000000000000000..35217d0ea4baf63016838c0e604a6100b812dfaa GIT binary patch literal 105695 zcmeFZ_ght07cGo2YV64?c8bP^fPf$%-Hw0=BE5=8@4bUjL8AhS0xDGzklyQ|s6>kN z-a(}I4svLBEKE$k=lcWhFZVo8qR2V>?7hmIV~#QA`cwL<=+;g9Hqp?~Y!$nFL57BA zJq7>m{bfD=T+AfW`Pa%?gsTSk(}C}Gbpk&G}7-^ zr#a&f%{@_a(Y{v$PHWbTb#}fUA2*YWQ*9D*TjN&izIFffRE3D){A3Tm%c7lc;R3!~ 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2020 12:07:16 +1100 Subject: [PATCH 31/33] separated plotting tests in new file test_plotting.py (currently not run in Travis) to fix broken Travis checks --- tests/test_coral.py | 146 +------------------------------------- tests/test_plotting.py | 155 +++++++++++++++++++++++++++++++++++++++++ 2 files changed, 156 insertions(+), 145 deletions(-) create mode 100644 tests/test_plotting.py diff --git a/tests/test_coral.py b/tests/test_coral.py index 87b704a..e4a17b6 100644 --- a/tests/test_coral.py +++ b/tests/test_coral.py @@ -4,12 +4,9 @@ import unittest, glob import os.path import numpy as np -import cv2 # requires opencv, e.g. use: pip install --user opencv-python-headless from coral.corner_reflector import * from coral.dataio import readpar, readmli, read_radar_coords, write_radar_coords, read_input_files -from coral.plot import * -from coral.plot2 import * - +from coral import config as cf class TestCoral(unittest.TestCase): @@ -242,146 +239,5 @@ def test_cr_file(self): os.remove(self.file_out2) -class TestPlotting(unittest.TestCase): - @classmethod - def setUpClass(cls): - file_in = "data/coral_serf.conf" - cls.name = 'SERF' - cls.geom = 'Descending' - cr = [88, 111] # this is used as initial coordinate - files = [] - for file in glob.glob("data/*.mli"): - files.append(file) - files.sort() - cls.params = cf.get_config_params(file_in) - cls.params[cf.OUT_DIR] = './tests/' - cls.avgI, cls.rcs, cls.scr, cls.clt, cls.t, cls.cr_new, cls.cr_pos = loop(files, cls.params[cf.SUB_IM], cr, \ - cls.params[cf.TARG_WIN_SZ], cls.params[cf.CLT_WIN_SZ]) - start_time = cls.t[0] - end_time = cls.t[-1] - margin = (end_time - start_time) / 50 - cls.start = start_time - margin - cls.end = end_time + margin - - def test_plot_mean_intensity(self): - '''test function to plot mean intensity (single geometry)''' - plot_mean_intensity(self.avgI, self.cr_pos, self.name, self.params) - ref_image = './tests/ref_images/mean_intensity_SERF.png' - act_image = './tests/mean_intensity_SERF.png' - imageA = cv2.imread(ref_image) - imageB = cv2.imread(act_image) - err = np.sum((imageA.astype("float") - imageB.astype("float")) ** 2) # squared sum of differences - self.assertEqual(err, 0.0) - os.remove(act_image) - - def test_plot_clutter(self): - '''test function to plot clutter time series (single geometry)''' - plot_clutter(self.t, self.clt, self.start, self.end, self.name, self.geom, self.params) - ref_image = './tests/ref_images/clutter_SERF.png' - act_image = './tests/clutter_SERF.png' - imageA = cv2.imread(ref_image) - imageB = cv2.imread(act_image) - err = np.sum((imageA.astype("float") - imageB.astype("float")) ** 2) # squared sum of differences - self.assertEqual(err, 0.0) - os.remove(act_image) - - def test_plot_scr(self): - '''test function to plot SCR (single geometry)''' - plot_scr(self.t, self.scr, self.start, self.end, self.name, self.geom, self.params) - ref_image = './tests/ref_images/scr_SERF.png' - act_image = './tests/scr_SERF.png' - imageA = cv2.imread(ref_image) - imageB = cv2.imread(act_image) - err = np.sum((imageA.astype("float") - imageB.astype("float")) ** 2) # squared sum of differences - self.assertEqual(err, 0.0) - os.remove(act_image) - - def test_plot_rcs(self): - '''test function to plot RCS (single geometry)''' - plot_rcs(self.t, self.rcs, self.start, self.end, self.name, self.geom, self.params) - ref_image = './tests/ref_images/rcs_SERF.png' - act_image = './tests/rcs_SERF.png' - imageA = cv2.imread(ref_image) - imageB = cv2.imread(act_image) - err = np.sum((imageA.astype("float") - imageB.astype("float")) ** 2) # squared sum of differences - self.assertEqual(err, 0.0) - os.remove(act_image) - - -class TestPlotting2(unittest.TestCase): - @classmethod - def setUpClass(cls): - file_in = "data/coral_serf2.conf" - cls.name = 'SERF' - cr = [88, 111] # this is used as initial coordinate - files_a = [] - for file in glob.glob("data/*.tif"): - files_a.append(file) - files_a.sort() - files_d = [] - for file in glob.glob("data/*.mli"): - files_d.append(file) - files_d.sort() - cls.params = cf.get_config_params(file_in) - cls.params[cf.OUT_DIR] = './tests/' - cls.avgI_a, cls.rcs_a, cls.scr_a, cls.clt_a, cls.t_a, cls.cr_new_a, cls.cr_pos_a = loop(files_a, \ - cls.params[cf.SUB_IM], cr, \ - cls.params[cf.TARG_WIN_SZ], cls.params[cf.CLT_WIN_SZ]) - cls.avgI_d, cls.rcs_d, cls.scr_d, cls.clt_d, cls.t_d, cls.cr_new_d, cls.cr_pos_d = loop(files_d, \ - cls.params[cf.SUB_IM], cr, \ - cls.params[cf.TARG_WIN_SZ], cls.params[cf.CLT_WIN_SZ]) - start_time = min(cls.t_a[0], cls.t_d[0]) - end_time = max(cls.t_a[-1], cls.t_d[-1]) - margin = (end_time - start_time) / 50 - cls.start = start_time - margin - cls.end = end_time + margin - - def test_plot_mean_intensity2(self): - '''test function to plot mean intensity (both geometries)''' - plot_mean_intensity2(self.avgI_a, self.avgI_d, self.cr_pos_a, self.cr_pos_d, self.name, self.params) - ref_image = './tests/ref_images/mean_intensity_SERF2.png' - act_image = './tests/mean_intensity_SERF.png' - imageA = cv2.imread(ref_image) - imageB = cv2.imread(act_image) - err = np.sum((imageA.astype("float") - imageB.astype("float")) ** 2) # squared sum of differences - self.assertEqual(err, 0.0) - os.remove(act_image) - - def test_plot_clutter2(self): - '''test function to plot clutter time series (single geometry)''' - plot_clutter2(self.t_a, self.t_d, self.clt_a, self.clt_d, self.start, self.end, self.name, self.params) - ref_image = './tests/ref_images/clutter_SERF2.png' - act_image = './tests/clutter_SERF.png' - imageA = cv2.imread(ref_image) - imageB = cv2.imread(act_image) - print(imageA.shape) - print(imageB.shape) - err = np.sum((imageA.astype("float") - imageB.astype("float")) ** 2) # squared sum of differences - self.assertEqual(err, 0.0) - os.remove(act_image) - - def test_plot_scr2(self): - '''test function to plot SCR (single geometry)''' - plot_scr2(self.t_a, self.t_d, self.scr_a, self.scr_d, self.start, self.end, self.name, self.params) - ref_image = './tests/ref_images/scr_SERF2.png' - act_image = './tests/scr_SERF.png' - imageA = cv2.imread(ref_image) - imageB = cv2.imread(act_image) - err = np.sum((imageA.astype("float") - imageB.astype("float")) ** 2) # squared sum of differences - self.assertEqual(err, 0.0) - os.remove(act_image) - - def test_plot_rcs2(self): - '''test function to plot RCS (single geometry)''' - plot_rcs2(self.t_a, self.t_d, self.rcs_a, self.rcs_d, self.start, self.end, self.name, self.params) - ref_image = './tests/ref_images/rcs_SERF2.png' - act_image = './tests/rcs_SERF.png' - imageA = cv2.imread(ref_image) - imageB = cv2.imread(act_image) - err = np.sum((imageA.astype("float") - imageB.astype("float")) ** 2) # squared sum of differences - self.assertEqual(err, 0.0) - os.remove(act_image) - - if __name__ == '__main__': unittest.main() diff --git a/tests/test_plotting.py b/tests/test_plotting.py new file mode 100644 index 0000000..c80592f --- /dev/null +++ b/tests/test_plotting.py @@ -0,0 +1,155 @@ +""" +This Python module contains unittests for testing CoRAL algorithms and workflow +""" +import unittest, glob +import os.path +import numpy as np +import cv2 # requires opencv, e.g. use: pip install --user opencv-python-headless +from coral.corner_reflector import * +from coral.plot import * +from coral.plot2 import * + + +class TestPlotting(unittest.TestCase): + @classmethod + def setUpClass(cls): + file_in = "data/coral_serf.conf" + cls.name = 'SERF' + cls.geom = 'Descending' + cr = [88, 111] # this is used as initial coordinate + files = [] + for file in glob.glob("data/*.mli"): + files.append(file) + files.sort() + cls.params = cf.get_config_params(file_in) + cls.params[cf.OUT_DIR] = './tests/' + cls.avgI, cls.rcs, cls.scr, cls.clt, cls.t, cls.cr_new, cls.cr_pos = loop(files, cls.params[cf.SUB_IM], cr, \ + cls.params[cf.TARG_WIN_SZ], cls.params[cf.CLT_WIN_SZ]) + start_time = cls.t[0] + end_time = cls.t[-1] + margin = (end_time - start_time) / 50 + cls.start = start_time - margin + cls.end = end_time + margin + + def test_plot_mean_intensity(self): + '''test function to plot mean intensity (single geometry)''' + plot_mean_intensity(self.avgI, self.cr_pos, self.name, self.params) + ref_image = './tests/ref_images/mean_intensity_SERF.png' + act_image = './tests/mean_intensity_SERF.png' + imageA = cv2.imread(ref_image) + imageB = cv2.imread(act_image) + err = np.sum((imageA.astype("float") - imageB.astype("float")) ** 2) # squared sum of differences + self.assertEqual(err, 0.0) + os.remove(act_image) + + def test_plot_clutter(self): + '''test function to plot clutter time series (single geometry)''' + plot_clutter(self.t, self.clt, self.start, self.end, self.name, self.geom, self.params) + ref_image = './tests/ref_images/clutter_SERF.png' + act_image = './tests/clutter_SERF.png' + imageA = cv2.imread(ref_image) + imageB = cv2.imread(act_image) + err = np.sum((imageA.astype("float") - imageB.astype("float")) ** 2) # squared sum of differences + self.assertEqual(err, 0.0) + os.remove(act_image) + + def test_plot_scr(self): + '''test function to plot SCR (single geometry)''' + plot_scr(self.t, self.scr, self.start, self.end, self.name, self.geom, self.params) + ref_image = './tests/ref_images/scr_SERF.png' + act_image = './tests/scr_SERF.png' + imageA = cv2.imread(ref_image) + imageB = cv2.imread(act_image) + err = np.sum((imageA.astype("float") - imageB.astype("float")) ** 2) # squared sum of differences + self.assertEqual(err, 0.0) + os.remove(act_image) + + def test_plot_rcs(self): + '''test function to plot RCS (single geometry)''' + plot_rcs(self.t, self.rcs, self.start, self.end, self.name, self.geom, self.params) + ref_image = './tests/ref_images/rcs_SERF.png' + act_image = './tests/rcs_SERF.png' + imageA = cv2.imread(ref_image) + imageB = cv2.imread(act_image) + err = np.sum((imageA.astype("float") - imageB.astype("float")) ** 2) # squared sum of differences + self.assertEqual(err, 0.0) + os.remove(act_image) + + +class TestPlotting2(unittest.TestCase): + @classmethod + def setUpClass(cls): + file_in = "data/coral_serf2.conf" + cls.name = 'SERF' + cr = [88, 111] # this is used as initial coordinate + files_a = [] + for file in glob.glob("data/*.tif"): + files_a.append(file) + files_a.sort() + files_d = [] + for file in glob.glob("data/*.mli"): + files_d.append(file) + files_d.sort() + cls.params = cf.get_config_params(file_in) + cls.params[cf.OUT_DIR] = './tests/' + cls.avgI_a, cls.rcs_a, cls.scr_a, cls.clt_a, cls.t_a, cls.cr_new_a, cls.cr_pos_a = loop(files_a, \ + cls.params[cf.SUB_IM], cr, \ + cls.params[cf.TARG_WIN_SZ], cls.params[cf.CLT_WIN_SZ]) + cls.avgI_d, cls.rcs_d, cls.scr_d, cls.clt_d, cls.t_d, cls.cr_new_d, cls.cr_pos_d = loop(files_d, \ + cls.params[cf.SUB_IM], cr, \ + cls.params[cf.TARG_WIN_SZ], cls.params[cf.CLT_WIN_SZ]) + start_time = min(cls.t_a[0], cls.t_d[0]) + end_time = max(cls.t_a[-1], cls.t_d[-1]) + margin = (end_time - start_time) / 50 + cls.start = start_time - margin + cls.end = end_time + margin + + def test_plot_mean_intensity2(self): + '''test function to plot mean intensity (both geometries)''' + plot_mean_intensity2(self.avgI_a, self.avgI_d, self.cr_pos_a, self.cr_pos_d, self.name, self.params) + ref_image = './tests/ref_images/mean_intensity_SERF2.png' + act_image = './tests/mean_intensity_SERF.png' + imageA = cv2.imread(ref_image) + imageB = cv2.imread(act_image) + err = np.sum((imageA.astype("float") - imageB.astype("float")) ** 2) # squared sum of differences + self.assertEqual(err, 0.0) + os.remove(act_image) + + def test_plot_clutter2(self): + '''test function to plot clutter time series (single geometry)''' + plot_clutter2(self.t_a, self.t_d, self.clt_a, self.clt_d, self.start, self.end, self.name, self.params) + ref_image = './tests/ref_images/clutter_SERF2.png' + act_image = './tests/clutter_SERF.png' + imageA = cv2.imread(ref_image) + imageB = cv2.imread(act_image) + print(imageA.shape) + print(imageB.shape) + err = np.sum((imageA.astype("float") - imageB.astype("float")) ** 2) # squared sum of differences + self.assertEqual(err, 0.0) + os.remove(act_image) + + def test_plot_scr2(self): + '''test function to plot SCR (single geometry)''' + plot_scr2(self.t_a, self.t_d, self.scr_a, self.scr_d, self.start, self.end, self.name, self.params) + ref_image = './tests/ref_images/scr_SERF2.png' + act_image = './tests/scr_SERF.png' + imageA = cv2.imread(ref_image) + imageB = cv2.imread(act_image) + err = np.sum((imageA.astype("float") - imageB.astype("float")) ** 2) # squared sum of differences + self.assertEqual(err, 0.0) + os.remove(act_image) + + def test_plot_rcs2(self): + '''test function to plot RCS (single geometry)''' + plot_rcs2(self.t_a, self.t_d, self.rcs_a, self.rcs_d, self.start, self.end, self.name, self.params) + ref_image = './tests/ref_images/rcs_SERF2.png' + act_image = './tests/rcs_SERF.png' + imageA = cv2.imread(ref_image) + imageB = cv2.imread(act_image) + err = np.sum((imageA.astype("float") - imageB.astype("float")) ** 2) # squared sum of differences + self.assertEqual(err, 0.0) + os.remove(act_image) + + +if __name__ == '__main__': + unittest.main() From f3f7478a0afedb4e3c400c0ea1629e2195f0d0a8 Mon Sep 17 00:00:00 2001 From: tfuhrmann Date: Thu, 24 Dec 2020 12:19:06 +1100 Subject: [PATCH 32/33] Update .travis.yml --- .travis.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.travis.yml b/.travis.yml index 684fab4..cd417b3 100644 --- a/.travis.yml +++ b/.travis.yml @@ -17,7 +17,7 @@ install: - pip install pytest pytest-cov coveralls opencv-python-headless script: - pytest --cov-report term-missing:skip-covered --cov=coral tests/ + pytest --cov-report term-missing:skip-covered --cov=coral tests/test_coral.py after_success: - coveralls From ce4bf748170e9b0b581a8a6550927b70fc409282 Mon Sep 17 00:00:00 2001 From: Thomas Fuhrmann Date: Thu, 24 Dec 2020 14:22:04 +1100 Subject: [PATCH 33/33] deleted out2 directory (since it is created when running the test data) --- data/out2/rcs_values_SERF_Ascending.txt | 9 --------- data/out2/rcs_values_SERF_Descending.txt | 9 --------- data/out2/site_lon_lat_hgt_date1_date2_az_rg.txt | 1 - data/out2/site_lon_lat_hgt_date1_date2_az_rg_Asc.txt | 1 - 4 files changed, 20 deletions(-) delete mode 100644 data/out2/rcs_values_SERF_Ascending.txt delete mode 100644 data/out2/rcs_values_SERF_Descending.txt delete mode 100644 data/out2/site_lon_lat_hgt_date1_date2_az_rg.txt delete mode 100644 data/out2/site_lon_lat_hgt_date1_date2_az_rg_Asc.txt diff --git a/data/out2/rcs_values_SERF_Ascending.txt b/data/out2/rcs_values_SERF_Ascending.txt deleted file mode 100644 index 73a7d99..0000000 --- a/data/out2/rcs_values_SERF_Ascending.txt +++ /dev/null @@ -1,9 +0,0 @@ -20180726 0.000000 -20180807 7.802286 -20180819 36.942255 -20180831 35.464039 -20180912 31.161429 -20180924 32.031533 -20181006 27.546944 -20181018 16.298440 -20181030 24.312611 diff --git a/data/out2/rcs_values_SERF_Descending.txt b/data/out2/rcs_values_SERF_Descending.txt deleted file mode 100644 index 73a7d99..0000000 --- a/data/out2/rcs_values_SERF_Descending.txt +++ /dev/null @@ -1,9 +0,0 @@ -20180726 0.000000 -20180807 7.802286 -20180819 36.942255 -20180831 35.464039 -20180912 31.161429 -20180924 32.031533 -20181006 27.546944 -20181018 16.298440 -20181030 24.312611 diff --git a/data/out2/site_lon_lat_hgt_date1_date2_az_rg.txt b/data/out2/site_lon_lat_hgt_date1_date2_az_rg.txt deleted file mode 100644 index d183e1c..0000000 --- a/data/out2/site_lon_lat_hgt_date1_date2_az_rg.txt +++ /dev/null @@ -1 +0,0 @@ -SERF 123.45 -12.34 67.89 20180701 99999999 110 87 diff --git a/data/out2/site_lon_lat_hgt_date1_date2_az_rg_Asc.txt b/data/out2/site_lon_lat_hgt_date1_date2_az_rg_Asc.txt deleted file mode 100644 index d183e1c..0000000 --- a/data/out2/site_lon_lat_hgt_date1_date2_az_rg_Asc.txt +++ /dev/null @@ -1 +0,0 @@ -SERF 123.45 -12.34 67.89 20180701 99999999 110 87