This project demonstrates how synthetic satellite imagery data can be used to train a machine learning model for detecting illegal logging activities. Using simulated spectral bands (Red, NIR, SWIR) and derived vegetation indices (NDVI) along with texture features, the project classifies areas as either logged or non-logged.
☆51Aug 11, 2025Updated last year
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