Geospatial Data Analysis for detecting and analyzing coal mines.
-
Updated
Nov 30, 2021 - Jupyter Notebook
Geospatial Data Analysis for detecting and analyzing coal mines.
Interactive building density heatmap for Algiers using OSM footprints, Sentinel-2 NDBI, and Streamlit + Folium
Remote sensing Beirut's urban change from 1985 to 2011
An AI-powered geospatial intelligence platform that enables satellite data analysis through natural language using Google Earth Engine, LLMs, and interactive visualizations. Users can perform vegetation, flood, land cover, urban heat, and environmental analysis without writing geospatial code.
This script processes Sentinel-2 satellite imagery to calculate various indices (NDVI, MNDWI, SAVI, NDBI).
Remote sensing index computation and visualization using Google Earth Engine, including spectral indices for land cover and environmental analysis
Add a description, image, and links to the ndbi topic page so that developers can more easily learn about it.
To associate your repository with the ndbi topic, visit your repo's landing page and select "manage topics."