From 47ecc56729d60e8edce55958b1e5a4cb14fb2905 Mon Sep 17 00:00:00 2001 From: Michael Johns Date: Wed, 24 Jun 2026 17:27:28 -0400 Subject: [PATCH 1/4] docs(examples): add hero chip to xView + h3-rasterize docs pages The example notebooks + READMEs got hero diagrams in #42, but the docs-site pages (notebooks/xview, notebooks/h3-rasterize) were missed. Embed each diagram after the intro paragraph (matching eo-series.mdx + the README placement). Includes the README chip-position tweaks for both examples. Co-authored-by: Isaac --- docs/docs/notebooks/h3-rasterize.mdx | 2 ++ docs/docs/notebooks/xview.mdx | 2 ++ notebooks/examples/h3-rasterize/README.md | 4 ++-- notebooks/examples/xview/README.md | 4 ++-- 4 files changed, 8 insertions(+), 4 deletions(-) diff --git a/docs/docs/notebooks/h3-rasterize.mdx b/docs/docs/notebooks/h3-rasterize.mdx index 33b75957..eb635489 100644 --- a/docs/docs/notebooks/h3-rasterize.mdx +++ b/docs/docs/notebooks/h3-rasterize.mdx @@ -9,6 +9,8 @@ An end-to-end example showing how to convert arbitrary polygon isobands — elev The notebook works through the San Francisco Bay Area: it reads a 1°×1° SRTM DEM tile (`srtm_n37w123.tif`, EPSG:4326) covering the SF Peninsula, Marin headlands, and East Bay hills, extracts eight 100 m elevation bands (0–700 m), polyfills each band with H3 resolution-8 hexagons, computes a shared pixel grid that spans all bands with `rst_h3_gridspec`, burns each band onto that grid with `rst_h3_rasterize_agg`, and assembles all eight single-band tiles into one multi-band GeoTIFF with `rst_frombands_agg`. A coverage-depth composite rendered by `plot_raster` closes the loop, showing at a glance how many elevation bands cover each pixel. +![H3 Rasterize — DEM isobands to a multi-band H3 raster stack](../../../resources/images/h3-rasterize.png) + :::tip View on GitHub **[notebooks/examples/h3-rasterize](https://github.com/databrickslabs/geobrix/tree/main/notebooks/examples/h3-rasterize)** — download `h3_rasterize_isobands.ipynb` and import it into your Databricks workspace to run. ::: diff --git a/docs/docs/notebooks/xview.mdx b/docs/docs/notebooks/xview.mdx index 2584c26f..8f198d8b 100644 --- a/docs/docs/notebooks/xview.mdx +++ b/docs/docs/notebooks/xview.mdx @@ -9,6 +9,8 @@ An end-to-end example showing how to load high-resolution aerial GeoTIFFs from t The single notebook moves from raw xView TGZ archives → a raster table loaded by the built-in `gtiff` reader → GeoJSON-derived object table (EWKT with SRID) → per-object clipped tiles, written back to a Unity Catalog Volume as individual TIFs by the built-in `gtiff` writer. +![xView — clip aerial rasters to labeled objects](../../../resources/images/xview-clipping.png) + :::tip View on GitHub **[notebooks/examples/xview](https://github.com/databrickslabs/geobrix/tree/main/notebooks/examples/xview)** — download `Clipping - xView.ipynb` and import it into your Databricks workspace to run. ::: diff --git a/notebooks/examples/h3-rasterize/README.md b/notebooks/examples/h3-rasterize/README.md index 6638cd92..fbef226b 100644 --- a/notebooks/examples/h3-rasterize/README.md +++ b/notebooks/examples/h3-rasterize/README.md @@ -1,12 +1,12 @@ # H3 Cell Rasterize + Band Stacking -![H3 Rasterize — DEM isobands to a multi-band H3 raster stack](../../../resources/images/h3-rasterize.png) - A single self-contained notebook that runs the full H3-cell rasterization pipeline on a real DEM — loading elevation data, extracting isobands, filling them with H3 hexagons, burning each band onto a shared aligned canvas, and assembling a multi-band GeoTIFF stack. Visualized with the `gbx.viz` helpers throughout. +![H3 Rasterize — DEM isobands to a multi-band H3 raster stack](../../../resources/images/h3-rasterize.png) + > **Lightweight tier (Serverless) by default.** The notebook uses the lightweight > tier — `geobrix[light,viz]` — pure Python/PySpark bindings with no JAR or GDAL > init script required. It runs on Serverless compute or a standard cluster. See diff --git a/notebooks/examples/xview/README.md b/notebooks/examples/xview/README.md index e2ac0bc7..34c1a8e8 100644 --- a/notebooks/examples/xview/README.md +++ b/notebooks/examples/xview/README.md @@ -1,11 +1,11 @@ # Clipping - xView — Per-Object Raster Clipping with GeoBrix -![xView — clip aerial rasters to labeled objects](../../../resources/images/xview-clipping.png) - An end-to-end example showing how to load high-resolution aerial GeoTIFFs from the [xView Detection Challenge](https://challenge.xviewdataset.org/) dataset into Lakehouse tables and clip rasters to labeled objects in the accompanying GeoJSON, using GeoBrix RasterX together with Databricks built-in Spatial SQL functions. The single notebook moves from raw xView TGZ archives → a raster table loaded by the built-in `gtiff` reader → GeoJSON-derived object table (EWKT with SRID) → per-object clipped tiles, written back to a Unity Catalog Volume as individual TIFs by the built-in `gtiff` writer. +![xView — clip aerial rasters to labeled objects](../../../resources/images/xview-clipping.png) + > **Runs on the lightweight tier (Serverless) by default.** The notebook uses the lightweight tier — pure Python/PySpark bindings (`databricks.labs.gbx.pyrx`) plus the `geobrix[light]` wheel — so it runs on Serverless with no JAR. To run it on the heavyweight tier instead, make a few tweaks: swap the import to `databricks.labs.gbx.rasterx` (the commented *option-2* in the setup cell) and, on a classic x86 cluster, attach both the GeoBrix JAR and the [GDAL init script](https://databrickslabs.github.io/geobrix/docs/installation) that installs the native GDAL libraries the JNI bindings load. Either way the preview cells need `rasterio` — install it directly (`%pip install rasterio`) or pull it in via the `geobrix[light]` extra. See [Execution Tiers](https://databrickslabs.github.io/geobrix/docs/api/execution-tiers). --- From 7fadc95f2cfc7463c4bdbc8ae0422adb348117ac Mon Sep 17 00:00:00 2001 From: Michael Johns Date: Wed, 24 Jun 2026 17:32:21 -0400 Subject: [PATCH 2/4] docs(notebooks): static shared-canvas map in h3 demo (GitHub-renderable) The folium .explore() multi-layer map embeds Leaflet JS, which GitHub's notebook viewer won't run (shows a "Make this Notebook Trusted" placeholder). Switch that cell to a static matplotlib overlay (cells_as_gdf.plot + grid_gdf.boundary) so it renders on GitHub + the docs, and add a note on the choice + the interactive (.explore()) alternative for Databricks/trusted Jupyter. Stale folium output cleared (re-run on a cluster to materialize the static PNG). Co-authored-by: Isaac --- .../h3-rasterize/h3_rasterize_isobands.ipynb | 462 +----------------- 1 file changed, 17 insertions(+), 445 deletions(-) diff --git a/notebooks/examples/h3-rasterize/h3_rasterize_isobands.ipynb b/notebooks/examples/h3-rasterize/h3_rasterize_isobands.ipynb index b29b94be..d68f711e 100644 --- a/notebooks/examples/h3-rasterize/h3_rasterize_isobands.ipynb +++ b/notebooks/examples/h3-rasterize/h3_rasterize_isobands.ipynb @@ -75,7 +75,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "![H3 Rasterize — DEM isobands to a multi-band H3 raster stack](../../../resources/images/h3-rasterize.png)\n" + "![H3 Rasterize — DEM isobands to a multi-band H3 raster stack](../../../resources/images/h3-rasterize.png)" ] }, { @@ -799,14 +799,16 @@ } }, "source": [ - "### Render the shared canvas over the cells (multiple layers)\n", + "### Render the shared canvas over the cells\n", "\n", - "`grid_as_gdf` turns the grid spec into the canvas rectangle; overlaying it on the per-band cell footprints with folium `.explore(m=...)` puts **multiple layers on one map** — you see the single shared grid framing every band." + "`cells_as_gdf` gives the per-band cell footprints and `grid_as_gdf` the shared-canvas rectangle; plotting both on one matplotlib axes shows the single grid framing every band.\n", + "\n", + "> **Static render — so it shows on GitHub and the docs site.** An interactive Leaflet map (GeoPandas `.explore()`, which folium backs) embeds JavaScript that GitHub's notebook viewer won't execute — it renders a *\"Make this Notebook Trusted\"* placeholder instead. For a pan/zoom version in Databricks or a trusted local Jupyter, swap the `.plot(...)` calls below for `bands_gdf.explore(column=\"band_level\", cmap=\"viridis\")` and overlay the canvas with `grid_gdf.explore(m=..., style_kwds={\"fill\": False})`." ] }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "application/vnd.databricks.v1+cell": { "cellMetadata": { @@ -823,450 +825,20 @@ "title": "" } }, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/html": [ - "
Make this Notebook Trusted to load map: File -> Trust Notebook
" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 9, - "metadata": {} - } - ], + "outputs": [], "source": [ - "# Multi-layer: per-band cell footprints + the shared-canvas rectangle on ONE folium map.\n", - "bands_gdf = cells_as_gdf(cells_df, \"cellid\", extra_cols=[\"band_level\"]) #, dissolve_by=\"band_level\")\n", + "# Multi-layer (static): per-band cell footprints + the shared-canvas rectangle on one\n", + "# matplotlib axes. Static so it renders on GitHub + the docs (see the note above); for\n", + "# an interactive pan/zoom map, use bands_gdf.explore(...) / grid_gdf.explore(m=...).\n", + "import matplotlib.pyplot as plt\n", + "\n", + "bands_gdf = cells_as_gdf(cells_df, \"cellid\", extra_cols=[\"band_level\"])\n", "grid_gdf = grid_as_gdf(g) # g = grid_row[\"grid\"] -> the shared canvas spec\n", "\n", - "m = bands_gdf.explore(column=\"band_level\", cmap=\"viridis\", name=\"H3 cells by band\")\n", - "grid_gdf.explore(m=m, color=\"red\", style_kwds={\"fill\": False, \"weight\": 2}, name=\"shared canvas\")\n", - "# On Databricks, if the folium map does not render inline: displayHTML(m._repr_html_())\n", - "m" + "ax = bands_gdf.plot(column=\"band_level\", cmap=\"viridis\", legend=True, figsize=(8, 7))\n", + "grid_gdf.boundary.plot(ax=ax, color=\"red\", linewidth=2) # the shared canvas rectangle\n", + "ax.set_title(\"H3 cells by elevation band + shared canvas\")\n", + "plt.show()" ] }, { From 57b0a134fd70b70af7b62274ad6f44db6216c9a6 Mon Sep 17 00:00:00 2001 From: Michael Johns Date: Wed, 24 Jun 2026 17:38:07 -0400 Subject: [PATCH 3/4] docs(notebooks): absolute GitHub raw URL for banner images Relative image paths don't resolve in the Databricks notebook UI, so the hero banners showed broken there. Point the eo-series (01-04) + xView banners at https://raw.githubusercontent.com/databrickslabs/geobrix/main/resources/images/... so they render in Databricks, GitHub, and the docs alike. (h3-rasterize handled separately in the re-executed copy.) Co-authored-by: Isaac --- notebooks/examples/eo-series/01. Search STACs.ipynb | 10 ++++++---- .../examples/eo-series/02. Download STACs.ipynb | 12 +++++++----- .../examples/eo-series/03. Gridded EO Data.ipynb | 10 ++++++---- .../eo-series/04. Band Stacking + Clipping.ipynb | 10 ++++++---- notebooks/examples/xview/Clipping - xView.ipynb | 2 +- 5 files changed, 26 insertions(+), 18 deletions(-) diff --git a/notebooks/examples/eo-series/01. Search STACs.ipynb b/notebooks/examples/eo-series/01. Search STACs.ipynb index bed2ef09..11536ea8 100644 --- a/notebooks/examples/eo-series/01. Search STACs.ipynb +++ b/notebooks/examples/eo-series/01. Search STACs.ipynb @@ -22,7 +22,9 @@ { "metadata": {}, "cell_type": "markdown", - "source": "![Notebook 01 — AOI polygon → H3 res-2 cells → Planetary Computer STAC search → cell_assets Delta](../../../resources/images/eo-series-01.png)" + "source": [ + "![Notebook 01 — AOI polygon → H3 res-2 cells → Planetary Computer STAC search → cell_assets Delta](https://raw.githubusercontent.com/databrickslabs/geobrix/main/resources/images/eo-series-01.png)" + ] }, { "metadata": { @@ -149,7 +151,7 @@ "output_type": "stream", "name": "stdout", "text": [ - "\u001B[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001B[0m\n\u001B[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001B[0m\n\u001B[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001B[0m\n" + "\u001b[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001b[0m\n\u001b[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001b[0m\n\u001b[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001b[0m\n" ] }, { @@ -717,7 +719,7 @@ ], "text/plain": [ "┏━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n", - "┃\u001B[1m \u001B[0m\u001B[1mAsset Key \u001B[0m\u001B[1m \u001B[0m┃\u001B[1m \u001B[0m\u001B[1mDescription \u001B[0m\u001B[1m \u001B[0m┃\n", + "┃\u001b[1m \u001b[0m\u001b[1mAsset Key \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mDescription \u001b[0m\u001b[1m \u001b[0m┃\n", "┡━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n", "│ AOT │ Aerosol optical thickness (AOT) │\n", "│ B01 │ Band 1 - Coastal aerosol - 60m │\n", @@ -1415,7 +1417,7 @@ "output_type": "stream", "name": "stdout", "text": [ - "total 32K\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 18:40 \u001B[0m\u001B[34;42mB02\u001B[0m/\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 18:40 \u001B[34;42mB03\u001B[0m/\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 18:40 \u001B[34;42mB04\u001B[0m/\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 18:40 \u001B[34;42mB08\u001B[0m/\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 18:40 \u001B[34;42mcell_assets_20260620-164651.delta\u001B[0m/\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 18:40 \u001B[34;42m_gbxrepair_B02\u001B[0m/\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 18:40 \u001B[34;42m_gbxverify_B02\u001B[0m/\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 18:40 \u001B[34;42mout\u001B[0m/\r\n" + "total 32K\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 18:40 \u001b[0m\u001b[34;42mB02\u001b[0m/\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 18:40 \u001b[34;42mB03\u001b[0m/\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 18:40 \u001b[34;42mB04\u001b[0m/\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 18:40 \u001b[34;42mB08\u001b[0m/\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 18:40 \u001b[34;42mcell_assets_20260620-164651.delta\u001b[0m/\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 18:40 \u001b[34;42m_gbxrepair_B02\u001b[0m/\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 18:40 \u001b[34;42m_gbxverify_B02\u001b[0m/\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 18:40 \u001b[34;42mout\u001b[0m/\r\n" ] } ], diff --git a/notebooks/examples/eo-series/02. Download STACs.ipynb b/notebooks/examples/eo-series/02. Download STACs.ipynb index 77d1f1c3..83df152a 100644 --- a/notebooks/examples/eo-series/02. Download STACs.ipynb +++ b/notebooks/examples/eo-series/02. Download STACs.ipynb @@ -27,7 +27,9 @@ { "metadata": {}, "cell_type": "markdown", - "source": "![Notebook 02 — STAC items fanning out to per-band downloads with retry loop and per-band Delta tables](../../../resources/images/eo-series-02.png)" + "source": [ + "![Notebook 02 — STAC items fanning out to per-band downloads with retry loop and per-band Delta tables](https://raw.githubusercontent.com/databrickslabs/geobrix/main/resources/images/eo-series-02.png)" + ] }, { "cell_type": "markdown", @@ -120,7 +122,7 @@ "output_type": "stream", "name": "stdout", "text": [ - "\u001B[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001B[0m\n" + "\u001b[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001b[0m\n" ] }, { @@ -170,7 +172,7 @@ "output_type": "stream", "name": "stdout", "text": [ - "\u001B[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001B[0m\n\u001B[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001B[0m\n\u001B[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001B[0m\n" + "\u001b[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001b[0m\n\u001b[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001b[0m\n\u001b[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001b[0m\n" ] }, { @@ -259,7 +261,7 @@ "output_type": "stream", "name": "stdout", "text": [ - "\u001B[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001B[0m\n\u001B[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001B[0m\n\u001B[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001B[0m\n" + "\u001b[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001b[0m\n\u001b[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001b[0m\n\u001b[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001b[0m\n" ] }, { @@ -748,7 +750,7 @@ "output_type": "stream", "name": "stdout", "text": [ - "total 1.9G\r\n-rwxrwxrwx 1 nobody nogroup 50M Jun 22 19:58 \u001B[0m\u001B[01;32mB02_S2A_MSIL2A_20220601T194911_R085_T08UPF_20220602T201121.tif\u001B[0m*\r\n-rwxrwxrwx 1 nobody nogroup 61M Jun 22 19:59 \u001B[01;32mB02_S2A_MSIL2A_20220601T194911_R085_T08UPG_20220602T195342.tif\u001B[0m*\r\n-rwxrwxrwx 1 nobody nogroup 21M Jun 22 19:58 \u001B[01;32mB02_S2A_MSIL2A_20220601T194911_R085_T08VPH_20220602T200243.tif\u001B[0m*\r\n-rwxrwxrwx 1 nobody nogroup 88M Jun 22 19:59 \u001B[01;32mB02_S2A_MSIL2A_20220601T194911_R085_T09UUA_20220602T180448.tif\u001B[0m*\r\n-rwxrwxrwx 1 nobody nogroup 136M Jun 22 19:59 \u001B[01;32mB02_S2A_MSIL2A_20220601T194911_R085_T09UUA_20220602T195601.tif\u001B[0m*\r\n-rwxrwxrwx 1 nobody nogroup 200M Jun 22 20:00 \u001B[01;32mB02_S2A_MSIL2A_20220601T194911_R085_T09UUB_20220602T200742.tif\u001B[0m*\r\n-rwxrwxrwx 1 nobody nogroup 176M Jun 22 19:59 \u001B[01;32mB02_S2A_MSIL2A_20220601T194911_R085_T09UUV_20220602T173354.tif\u001B[0m*\r\n-rwxrwxrwx 1 nobody nogroup 38M Jun 22 19:58 \u001B[01;32mB02_S2A_MSIL2A_20220601T194911_R085_T09UVA_20220602T164456.tif\u001B[0m*\r\n-rwxrwxrwx 1 nobody nogroup 204M Jun 22 19:59 \u001B[01;32mB02_S2A_MSIL2A_20220601T194911_R085_T09UVA_20220602T195020.tif\u001B[0m*\r\n-rwxrwxrwx 1 nobody nogroup 220M Jun 22 19:59 \u001B[01;32mB02_S2A_MSIL2A_20220601T194911_R085_T09UVB_20220602T192007.tif\u001B[0m*\r\n-rwxrwxrwx 1 nobody nogroup 198M Jun 22 19:59 \u001B[01;32mB02_S2A_MSIL2A_20220601T194911_R085_T09UVV_20220602T181034.tif\u001B[0m*\r\n-rwxrwxrwx 1 nobody nogroup 161M Jun 22 19:59 \u001B[01;32mB02_S2A_MSIL2A_20220601T194911_R085_T09VUC_20220602T191925.tif\u001B[0m*\r\n-rwxrwxrwx 1 nobody nogroup 100M Jun 22 19:59 \u001B[01;32mB02_S2A_MSIL2A_20220601T194911_R085_T09VUD_20220602T193134.tif\u001B[0m*\r\n-rwxrwxrwx 1 nobody nogroup 224M Jun 22 19:59 \u001B[01;32mB02_S2A_MSIL2A_20220601T194911_R085_T09VVC_20220602T192814.tif\u001B[0m*\r\n" + "total 1.9G\r\n-rwxrwxrwx 1 nobody nogroup 50M Jun 22 19:58 \u001b[0m\u001b[01;32mB02_S2A_MSIL2A_20220601T194911_R085_T08UPF_20220602T201121.tif\u001b[0m*\r\n-rwxrwxrwx 1 nobody nogroup 61M Jun 22 19:59 \u001b[01;32mB02_S2A_MSIL2A_20220601T194911_R085_T08UPG_20220602T195342.tif\u001b[0m*\r\n-rwxrwxrwx 1 nobody nogroup 21M Jun 22 19:58 \u001b[01;32mB02_S2A_MSIL2A_20220601T194911_R085_T08VPH_20220602T200243.tif\u001b[0m*\r\n-rwxrwxrwx 1 nobody nogroup 88M Jun 22 19:59 \u001b[01;32mB02_S2A_MSIL2A_20220601T194911_R085_T09UUA_20220602T180448.tif\u001b[0m*\r\n-rwxrwxrwx 1 nobody nogroup 136M Jun 22 19:59 \u001b[01;32mB02_S2A_MSIL2A_20220601T194911_R085_T09UUA_20220602T195601.tif\u001b[0m*\r\n-rwxrwxrwx 1 nobody nogroup 200M Jun 22 20:00 \u001b[01;32mB02_S2A_MSIL2A_20220601T194911_R085_T09UUB_20220602T200742.tif\u001b[0m*\r\n-rwxrwxrwx 1 nobody nogroup 176M Jun 22 19:59 \u001b[01;32mB02_S2A_MSIL2A_20220601T194911_R085_T09UUV_20220602T173354.tif\u001b[0m*\r\n-rwxrwxrwx 1 nobody nogroup 38M Jun 22 19:58 \u001b[01;32mB02_S2A_MSIL2A_20220601T194911_R085_T09UVA_20220602T164456.tif\u001b[0m*\r\n-rwxrwxrwx 1 nobody nogroup 204M Jun 22 19:59 \u001b[01;32mB02_S2A_MSIL2A_20220601T194911_R085_T09UVA_20220602T195020.tif\u001b[0m*\r\n-rwxrwxrwx 1 nobody nogroup 220M Jun 22 19:59 \u001b[01;32mB02_S2A_MSIL2A_20220601T194911_R085_T09UVB_20220602T192007.tif\u001b[0m*\r\n-rwxrwxrwx 1 nobody nogroup 198M Jun 22 19:59 \u001b[01;32mB02_S2A_MSIL2A_20220601T194911_R085_T09UVV_20220602T181034.tif\u001b[0m*\r\n-rwxrwxrwx 1 nobody nogroup 161M Jun 22 19:59 \u001b[01;32mB02_S2A_MSIL2A_20220601T194911_R085_T09VUC_20220602T191925.tif\u001b[0m*\r\n-rwxrwxrwx 1 nobody nogroup 100M Jun 22 19:59 \u001b[01;32mB02_S2A_MSIL2A_20220601T194911_R085_T09VUD_20220602T193134.tif\u001b[0m*\r\n-rwxrwxrwx 1 nobody nogroup 224M Jun 22 19:59 \u001b[01;32mB02_S2A_MSIL2A_20220601T194911_R085_T09VVC_20220602T192814.tif\u001b[0m*\r\n" ] } ], diff --git a/notebooks/examples/eo-series/03. Gridded EO Data.ipynb b/notebooks/examples/eo-series/03. Gridded EO Data.ipynb index 66d082d2..122272c0 100644 --- a/notebooks/examples/eo-series/03. Gridded EO Data.ipynb +++ b/notebooks/examples/eo-series/03. Gridded EO Data.ipynb @@ -27,7 +27,9 @@ { "metadata": {}, "cell_type": "markdown", - "source": "![Notebook 03 — Sentinel-2 scene → typed tile struct → H3 res-7 tessellation → per-cell timeseries](../../../resources/images/eo-series-03.png)" + "source": [ + "![Notebook 03 — Sentinel-2 scene → typed tile struct → H3 res-7 tessellation → per-cell timeseries](https://raw.githubusercontent.com/databrickslabs/geobrix/main/resources/images/eo-series-03.png)" + ] }, { "cell_type": "markdown", @@ -149,7 +151,7 @@ "output_type": "stream", "name": "stdout", "text": [ - "\u001B[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001B[0m\n\u001B[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001B[0m\n\u001B[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001B[0m\n" + "\u001b[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001b[0m\n\u001b[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001b[0m\n\u001b[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001b[0m\n" ] }, { @@ -227,7 +229,7 @@ "output_type": "stream", "name": "stdout", "text": [ - "\u001B[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001B[0m\n\u001B[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001B[0m\n\u001B[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001B[0m\n" + "\u001b[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001b[0m\n\u001b[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001b[0m\n\u001b[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001b[0m\n" ] }, { @@ -517,7 +519,7 @@ "output_type": "stream", "name": "stdout", "text": [ - "total 32K\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 19:06 \u001B[0m\u001B[34;42mB02\u001B[0m/\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 19:06 \u001B[34;42mB03\u001B[0m/\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 19:06 \u001B[34;42mB04\u001B[0m/\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 19:06 \u001B[34;42mB08\u001B[0m/\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 19:06 \u001B[34;42mcell_assets_20260620-164651.delta\u001B[0m/\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 19:06 \u001B[34;42m_gbxrepair_B02\u001B[0m/\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 19:06 \u001B[34;42m_gbxverify_B02\u001B[0m/\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 19:06 \u001B[34;42mout\u001B[0m/\r\n" + "total 32K\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 19:06 \u001b[0m\u001b[34;42mB02\u001b[0m/\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 19:06 \u001b[34;42mB03\u001b[0m/\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 19:06 \u001b[34;42mB04\u001b[0m/\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 19:06 \u001b[34;42mB08\u001b[0m/\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 19:06 \u001b[34;42mcell_assets_20260620-164651.delta\u001b[0m/\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 19:06 \u001b[34;42m_gbxrepair_B02\u001b[0m/\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 19:06 \u001b[34;42m_gbxverify_B02\u001b[0m/\r\ndrwxrwxrwx 2 nobody nogroup 4.0K Jun 23 19:06 \u001b[34;42mout\u001b[0m/\r\n" ] } ], diff --git a/notebooks/examples/eo-series/04. Band Stacking + Clipping.ipynb b/notebooks/examples/eo-series/04. Band Stacking + Clipping.ipynb index e2baadaa..dc0f150f 100644 --- a/notebooks/examples/eo-series/04. Band Stacking + Clipping.ipynb +++ b/notebooks/examples/eo-series/04. Band Stacking + Clipping.ipynb @@ -27,7 +27,9 @@ { "metadata": {}, "cell_type": "markdown", - "source": "![Notebook 04 — per-band cell tables → rst_frombands → multi-band raster → GeoTIFF write-back → CRS-safe clip](../../../resources/images/eo-series-04.png)" + "source": [ + "![Notebook 04 — per-band cell tables → rst_frombands → multi-band raster → GeoTIFF write-back → CRS-safe clip](https://raw.githubusercontent.com/databrickslabs/geobrix/main/resources/images/eo-series-04.png)" + ] }, { "cell_type": "markdown", @@ -139,7 +141,7 @@ "output_type": "stream", "name": "stdout", "text": [ - "\u001B[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001B[0m\n" + "\u001b[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001b[0m\n" ] }, { @@ -205,7 +207,7 @@ "output_type": "stream", "name": "stdout", "text": [ - "\u001B[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001B[0m\n\u001B[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001B[0m\n\u001B[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001B[0m\n" + "\u001b[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001b[0m\n\u001b[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001b[0m\n\u001b[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001b[0m\n" ] }, { @@ -299,7 +301,7 @@ "output_type": "stream", "name": "stdout", "text": [ - "\u001B[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001B[0m\n\u001B[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001B[0m\n\u001B[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001B[0m\n" + "\u001b[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001b[0m\n\u001b[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001b[0m\n\u001b[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001b[0m\n" ] }, { diff --git a/notebooks/examples/xview/Clipping - xView.ipynb b/notebooks/examples/xview/Clipping - xView.ipynb index 6ca80565..0d2c7a46 100644 --- a/notebooks/examples/xview/Clipping - xView.ipynb +++ b/notebooks/examples/xview/Clipping - xView.ipynb @@ -32,7 +32,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "![xView — clip aerial rasters to labeled objects](../../../resources/images/xview-clipping.png)\n" + "![xView — clip aerial rasters to labeled objects](https://raw.githubusercontent.com/databrickslabs/geobrix/main/resources/images/xview-clipping.png)\n" ] }, { From b3992d86868580f881d1508a37dac37a496c3deb Mon Sep 17 00:00:00 2001 From: Michael Johns Date: Wed, 24 Jun 2026 17:46:56 -0400 Subject: [PATCH 4/4] docs(notebooks): executed h3 isobands nb (static map + raw-URL banner) Re-executed copy: the shared-canvas overlay is the static matplotlib render (renders on GitHub with a real PNG output, no folium "trust notebook" placeholder), and the hero banner uses the absolute raw.githubusercontent.com URL so it shows in Databricks. Co-authored-by: Isaac --- .../h3-rasterize/h3_rasterize_isobands.ipynb | 153 +++++++++++------- 1 file changed, 96 insertions(+), 57 deletions(-) diff --git a/notebooks/examples/h3-rasterize/h3_rasterize_isobands.ipynb b/notebooks/examples/h3-rasterize/h3_rasterize_isobands.ipynb index d68f711e..888a9dbd 100644 --- a/notebooks/examples/h3-rasterize/h3_rasterize_isobands.ipynb +++ b/notebooks/examples/h3-rasterize/h3_rasterize_isobands.ipynb @@ -73,9 +73,21 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "application/vnd.databricks.v1+cell": { + "cellMetadata": { + "byteLimit": 2048000, + "rowLimit": 10000 + }, + "inputWidgets": {}, + "nuid": "74d8eb11-7d9d-4ef4-8343-f6f68b35d297", + "showTitle": false, + "tableResultSettingsMap": {}, + "title": "" + } + }, "source": [ - "![H3 Rasterize — DEM isobands to a multi-band H3 raster stack](../../../resources/images/h3-rasterize.png)" + "![H3 Rasterize — DEM isobands to a multi-band H3 raster stack](https://raw.githubusercontent.com/databrickslabs/geobrix/main/resources/images/h3-rasterize.png)" ] }, { @@ -109,12 +121,12 @@ "byteLimit": 2048000, "rowLimit": 10000 }, - "finishTime": 1782321429500, + "finishTime": 1782337252157, "inputWidgets": {}, "nuid": "47ccf846-21b6-40bd-834f-d0bd4ef72eaa", "showTitle": false, - "startTime": 1782321425259, - "submitTime": 1782321425231, + "startTime": 1782337210862, + "submitTime": 1782337210139, "tableResultSettingsMap": {}, "title": "" } @@ -123,8 +135,9 @@ { "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ - "\u001b[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001b[0m\n\u001b[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001b[0m\n" + "\u001B[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001B[0m\n\u001B[43mNote: you may need to restart the kernel using %restart_python or dbutils.library.restartPython() to use updated packages.\u001B[0m\n" ] } ], @@ -144,12 +157,12 @@ "byteLimit": 2048000, "rowLimit": 10000 }, - "finishTime": 1782321457579, + "finishTime": 1782337257904, "inputWidgets": {}, "nuid": "e052ee19-dadd-448f-a5bb-6c88f9d78bd0", "showTitle": false, - "startTime": 1782321453025, - "submitTime": 1782321452997, + "startTime": 1782337252208, + "submitTime": 1782337210142, "tableResultSettingsMap": {}, "title": "" } @@ -187,12 +200,12 @@ "byteLimit": 2048000, "rowLimit": 10000 }, - "finishTime": 1782321470027, + "finishTime": 1782337283426, "inputWidgets": {}, "nuid": "aa6ef66f-1663-4bd4-b499-6b3913468a57", "showTitle": false, - "startTime": 1782321457727, - "submitTime": 1782321457686, + "startTime": 1782337257952, + "submitTime": 1782337210161, "tableResultSettingsMap": {}, "title": "" } @@ -204,7 +217,8 @@ "application/vnd.databricks.v1+h3_hint": "", "text/plain": [] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -262,12 +276,12 @@ "byteLimit": 2048000, "rowLimit": 10000 }, - "finishTime": 1782321470328, + "finishTime": 1782337283827, "inputWidgets": {}, "nuid": "4faae433-988b-4c11-ae3c-426dcda44bcc", "showTitle": false, - "startTime": 1782321470049, - "submitTime": 1782321461773, + "startTime": 1782337283468, + "submitTime": 1782337210180, "tableResultSettingsMap": {}, "title": "" } @@ -276,6 +290,7 @@ { "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "DEM : /Volumes/geospatial_docs/geobrix/sample-data/geobrix-examples/sf/elevation/srtm_n37w123.tif\nH3 resolution : 8\nBand step : 100 m (bands from 0 to 800 m)\nPixel size : 0.0020138 deg (~177.1 m per pixel)\n" ] @@ -333,12 +348,12 @@ "byteLimit": 2048000, "rowLimit": 10000 }, - "finishTime": 1782321470831, + "finishTime": 1782337284861, "inputWidgets": {}, "nuid": "80a9cd9b-5f3a-4e28-bc14-702e668bc512", "showTitle": false, - "startTime": 1782321470343, - "submitTime": 1782321464952, + "startTime": 1782337283845, + "submitTime": 1782337210200, "tableResultSettingsMap": {}, "title": "" } @@ -347,6 +362,7 @@ { "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "/Volumes/geospatial_docs/geobrix/sample-data/geobrix-examples/sf/elevation/srtm_n37w123.tif already present\n" ] @@ -419,12 +435,12 @@ "byteLimit": 2048000, "rowLimit": 10000 }, - "finishTime": 1782321474341, + "finishTime": 1782337288981, "inputWidgets": {}, "nuid": "4a39d602-b48c-4cb5-830a-853bcc6b4baf", "showTitle": false, - "startTime": 1782321470844, - "submitTime": 1782321469754, + "startTime": 1782337284929, + "submitTime": 1782337210222, "tableResultSettingsMap": {}, "title": "" } @@ -433,6 +449,7 @@ { "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "DEM shape : (3601, 3601)\nCRS : EPSG:4326\nTransform : | 0.00, 0.00,-123.00|\n| 0.00,-0.00, 38.00|\n| 0.00, 0.00, 1.00|\nElev range : -1967 – 986 m\nThresholds : [0, 100, 200, 300, 400, 500, 600, 700] m (8 bands)\nTotal polygon shapes : 2381\n" ] @@ -503,12 +520,12 @@ "byteLimit": 2048000, "rowLimit": 10000 }, - "finishTime": 1782321476750, + "finishTime": 1782337292991, "inputWidgets": {}, "nuid": "d0087a2c-0406-4ed1-9536-84b93e579aa0", "showTitle": false, - "startTime": 1782321474359, - "submitTime": 1782321472089, + "startTime": 1782337289002, + "submitTime": 1782337210243, "tableResultSettingsMap": {}, "title": "" } @@ -522,7 +539,8 @@ "
" ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -570,12 +588,12 @@ "byteLimit": 2048000, "rowLimit": 10000 }, - "finishTime": 1782321481268, + "finishTime": 1782337297818, "inputWidgets": {}, "nuid": "52cf32fc-3efa-4f75-b67e-2f7f527fd34a", "showTitle": false, - "startTime": 1782321476772, - "submitTime": 1782321476108, + "startTime": 1782337293013, + "submitTime": 1782337210263, "tableResultSettingsMap": {}, "title": "" } @@ -584,6 +602,7 @@ { "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "Total (band_level, cellid) rows : 12179\nAfter dedup : 12179\n+----------+-----+\n|band_level|count|\n+----------+-----+\n| 0| 5060|\n| 100| 2937|\n| 200| 1877|\n| 300| 1091|\n| 400| 635|\n| 500| 343|\n| 600| 173|\n| 700| 63|\n+----------+-----+\n\n" ] @@ -668,12 +687,12 @@ "byteLimit": 2048000, "rowLimit": 10000 }, - "finishTime": 1782321484105, + "finishTime": 1782337300877, "inputWidgets": {}, "nuid": "a07d3452-6095-4423-a967-7466e2fb959d", "showTitle": false, - "startTime": 1782321481306, - "submitTime": 1782321479620, + "startTime": 1782337297869, + "submitTime": 1782337210283, "tableResultSettingsMap": {}, "title": "" } @@ -687,7 +706,8 @@ ] }, "execution_count": 7, - "metadata": {} + "metadata": {}, + "output_type": "execute_result" }, { "output_type": "display_data", @@ -697,7 +717,8 @@ "
" ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -742,12 +763,12 @@ "byteLimit": 2048000, "rowLimit": 10000 }, - "finishTime": 1782321493922, + "finishTime": 1782337323903, "inputWidgets": {}, "nuid": "2422d1ff-0cf3-4548-a819-3cad0f1f8838", "showTitle": false, - "startTime": 1782321484121, - "submitTime": 1782321483374, + "startTime": 1782337300939, + "submitTime": 1782337210305, "tableResultSettingsMap": {}, "title": "" } @@ -756,6 +777,7 @@ { "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "Shared canvas grid spec:\n xmin=-122.993628 ymin=36.992336\n xmax=-121.988719 ymax=38.009329\n pixel_size=0.002014\n width=499 height=505 srid=4326\n" ] @@ -808,24 +830,36 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 0, "metadata": { "application/vnd.databricks.v1+cell": { "cellMetadata": { "byteLimit": 2048000, "rowLimit": 10000 }, - "finishTime": 1782321500569, + "finishTime": 1782337326809, "inputWidgets": {}, "nuid": "be150c37-8aa8-42ad-92f1-869af979fbb8", "showTitle": false, - "startTime": 1782321493953, - "submitTime": 1782321486282, + "startTime": 1782337323927, + "submitTime": 1782337210327, "tableResultSettingsMap": {}, "title": "" } }, - "outputs": [], + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# Multi-layer (static): per-band cell footprints + the shared-canvas rectangle on one\n", "# matplotlib axes. Static so it renders on GitHub + the docs (see the note above); for\n", @@ -883,12 +917,12 @@ "byteLimit": 2048000, "rowLimit": 10000 }, - "finishTime": 1782321512871, + "finishTime": 1782337336855, "inputWidgets": {}, "nuid": "2f04b81b-126b-4574-8a8f-2787468ade3e", "showTitle": false, - "startTime": 1782321506067, - "submitTime": 1782321506031, + "startTime": 1782337326830, + "submitTime": 1782337210350, "tableResultSettingsMap": {}, "title": "" } @@ -897,6 +931,7 @@ { "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "Band tiles: 8 rows\n+----------+--------+---------+--------+\n|band_level|px_width|px_height|numbands|\n+----------+--------+---------+--------+\n| 0| 499| 505| 1|\n| 100| 499| 505| 1|\n| 200| 499| 505| 1|\n| 300| 499| 505| 1|\n| 400| 499| 505| 1|\n| 500| 499| 505| 1|\n| 600| 499| 505| 1|\n| 700| 499| 505| 1|\n+----------+--------+---------+--------+\n\n" ] @@ -969,12 +1004,12 @@ "byteLimit": 2048000, "rowLimit": 10000 }, - "finishTime": 1782321516988, + "finishTime": 1782337338460, "inputWidgets": {}, "nuid": "ee4bb238-296e-46c5-9c3d-335ca42713eb", "showTitle": false, - "startTime": 1782321515643, - "submitTime": 1782321515612, + "startTime": 1782337336897, + "submitTime": 1782337210370, "tableResultSettingsMap": {}, "title": "" } @@ -983,6 +1018,7 @@ { "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "band_level = 200 m (1877 cells)\nband_level = 400 m (635 cells)\n" ] @@ -995,7 +1031,8 @@ "
" ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -1062,12 +1099,12 @@ "byteLimit": 2048000, "rowLimit": 10000 }, - "finishTime": 1782321534716, + "finishTime": 1782337351482, "inputWidgets": {}, "nuid": "bed4c5e5-0d5a-459a-8299-4160550459e1", "showTitle": false, - "startTime": 1782321525274, - "submitTime": 1782321525241, + "startTime": 1782337338480, + "submitTime": 1782337210391, "tableResultSettingsMap": {}, "title": "" } @@ -1076,6 +1113,7 @@ { "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "Stacked tile schema: dict_keys(['cellid', 'raster', 'metadata'])\nBands: 8 Width: 499 Height: 505 SRID: 4326\n" ] @@ -1151,12 +1189,12 @@ "byteLimit": 2048000, "rowLimit": 10000 }, - "finishTime": 1782321539214, + "finishTime": 1782337352195, "inputWidgets": {}, "nuid": "1ee6be3d-d90b-429b-88e5-7369bb4d40a7", "showTitle": false, - "startTime": 1782321538814, - "submitTime": 1782321538757, + "startTime": 1782337351501, + "submitTime": 1782337210411, "tableResultSettingsMap": {}, "title": "" } @@ -1170,7 +1208,8 @@ "
" ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -1264,4 +1303,4 @@ }, "nbformat": 4, "nbformat_minor": 0 -} +} \ No newline at end of file