AI agent for geospatial analysis with Sentinel-2 satellite imagery
Project description
Install Dependencies
pip install -r requirements.txt
Run the Agent
# Interactive mode
geomind
# Single query
geomind --query "Find recent imagery of Paris"
geomind --query "Create an RGB true-color composite visualization from the December 25th image"
geomind --query "Create an NDVI from the December 25th image"
Example Queries
💬 "Create an RGB composite for the most recent image of London"
💬 "Calculate NDVI for Central Park, New York"
💬 "What images are available for Tokyo with less than 10% cloud cover?"
Approach
Traditional Approach
Full Scene Download → Local Storage → Process → Result
~720 MB Disk I/O Slow
GeoMind Approach (Zarr + fsspec)
HTTP Range Request → Stream Chunks → Process in Memory → Result
~1-5 MB No disk Fast
Project details
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