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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           

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