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🌍 Satellite Analysis — CartoDEM & NDVI

A complete geospatial analysis workflow using CartoDEM (Digital Elevation Model) and NDVI (Vegetation Index) satellite datasets.
This project covers terrain modelling, vegetation health assessment, preprocessing, and map generation using Python and modern GIS tools.


🔎 Overview

This repository contains Jupyter notebooks and scripts for analyzing two key satellite datasets:

1. CartoDEM (Terrain Analysis)

  • Extracting elevation values
  • Generating hillshade
  • Creating slope and aspect maps
  • Terrain interpretation

2. NDVI (Vegetation Analysis)

  • Preprocessing satellite bands
  • Computing NDVI
  • Vegetation classification
  • NDVI visualization

Raw satellite files are excluded due to large size.


🗂 Folder Structure

satellite_analysis/
│
├── data/
│   ├── cartodem/            ← Raw CartoDEM data (local only)
│   └── ndvi/                ← Raw NDVI data (local only)
│
├── notebooks/
│   ├── CartoDEM_Analysis.ipynb
│   └── NDVI_Analysis.ipynb
│
│ 
│
├── docs/
│   ├── policy.txt
│   └── readme.txt
│
├── .gitignore
└── README.md

About

Satellite-based terrain & vegetation analysis using CartoDEM and NDVI datasets — includes preprocessing, visualization, elevation modeling, and vegetation health assessment.

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