Selective Logging Detection with Deep Learning and Very-High Resolution Imagery

This chapter applies deep learning semantic segmentation to detect selective logging events in tropical forests using very-high resolution satellite imagery. It covers data preparation, U-Net model training, and end-to-end inference workflows.

Part of the EarthRISE Applied Artificial Intelligence and Deep Learning Book, Chapter 3: Semantic Segmentation.