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admin | 29 December 2020

This project aims to track deforestation using remote sensory data (satellite images). We used two different methods for comparison and validated the trends observed. The first method uses basic image processing where we extracted the forest cover area based on threshold color value (HSV spectrum). In the other method, we used Deep learning, specifically a U-net model to extract the forest cover region for respective satellite images.

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