makepath/austin-ml-change-detection-demo
A change detection demo for the Austin area using a pre-trained PyTorch model scaled with Dask on Planet imagery.
This project helps quickly identify and classify changes in land cover over large areas using satellite imagery. You input Planet satellite images from different time periods, and it outputs maps highlighting where changes have occurred and what type of land cover (e.g., urban, agricultural) now exists. This is ideal for urban planners, environmental monitoring agencies, or agricultural managers.
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Use this if you need to rapidly detect significant land cover changes and categorize new land uses across expansive geographical regions.
Not ideal if you require real-time monitoring, extremely high-resolution analysis of small parcels, or if you don't have access to Planet imagery.
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3
Language
Jupyter Notebook
License
MIT
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Last pushed
Sep 20, 2022
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