bragagnololu/UNet-defmapping

This repository presents the product of my master's thesis, which uses UNet to map deforestation using Sentinel-2 Level 2A images.

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This project helps environmental scientists and conservationists identify deforestation using satellite imagery. It takes Sentinel-2 Level 2A images, focusing on RGB and Near-infrared bands, and outputs raster images and shapefiles highlighting deforested areas. It's designed for those monitoring forest changes, particularly in regions like the Amazon and Atlantic Rainforest.

No commits in the last 6 months.

Use this if you need to automatically map deforestation spots over time using Sentinel-2 satellite data in specific geographic regions.

Not ideal if you need to analyze deforestation in areas outside of the Amazon or Atlantic Rainforest without first performing a new model training.

deforestation-monitoring satellite-imagery-analysis environmental-science conservation land-cover-change
Stale 6m No Package No Dependents
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Adoption 6 / 25
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20

Forks

6

Language

Python

License

GPL-3.0

Last pushed

Nov 29, 2021

Commits (30d)

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