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.

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Emerging

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.

No commits in the last 6 months.

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.

land-use-planning environmental-monitoring urban-development agricultural-assessment geospatial-analysis
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 11 / 25

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Stars

23

Forks

3

Language

Jupyter Notebook

License

MIT

Last pushed

Sep 20, 2022

Commits (30d)

0

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