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.
- π Geospatial Core: GDAL, rasterio, geopandas, s2dr3
- π°οΈ Remote Sensing Tools: Google Earth Engine, geemap, leafmap
- π€ Deep Learning Support: PyTorch (with CUDA), SAMGeo, segment-geospatial
- πΌοΈ Visualization Libraries: matplotlib, OpenCV, scikit-image
- π Data Science Essentials: pandas, numpy
- β Virtual environment stored in Google Drive
- β Use across Colab sessions without reinstalling
- β One-line activation to load all packages
- Earth observation workflows
- Satellite image segmentation
- GIS and geospatial data analysis
- Educational and research use with Earth Engine
β¨ All in one environment, without the hassle of setting up from scratch every time.