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This repository provides a fully configured geospatial environment for Google Colab, including system dependencies and Python packages for remote sensing, satellite imagery analysis, geospatial visualization, and deep learning with GPU acceleration.

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🌍 Complete Geospatial Environment for Google Colab

A fully configured environment to run geospatial workflows seamlessly in Google Colab β€” includes GDAL, Google Earth Engine, geemap, SAMGeo, and GPU-accelerated deep learning libraries. Everything is stored in Google Drive and reusable across sessions.


πŸš€ What’s Inside

  • 🌐 Geospatial Core: GDAL, rasterio, geopandas, s2dr3
  • πŸ›°οΈ Remote Sensing Tools: Google Earth Engine, geemap, leafmap
  • πŸ€– Deep Learning Support: PyTorch (with CUDA), SAMGeo, segment-geospatial
  • πŸ–ΌοΈ Visualization Libraries: matplotlib, OpenCV, scikit-image
  • πŸ“Š Data Science Essentials: pandas, numpy

πŸ” Persistent & Reusable

  • βœ… Virtual environment stored in Google Drive
  • βœ… Use across Colab sessions without reinstalling
  • βœ… One-line activation to load all packages

🧠 Built For

  • Earth observation workflows
  • Satellite image segmentation
  • GIS and geospatial data analysis
  • Educational and research use with Earth Engine

✨ All in one environment, without the hassle of setting up from scratch every time.

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This repository provides a fully configured geospatial environment for Google Colab, including system dependencies and Python packages for remote sensing, satellite imagery analysis, geospatial visualization, and deep learning with GPU acceleration.

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