ArcGIS Python Toolbox for Search & Download of Sentinel-2 data (L1C/TOA, L2A/BOA) via DHuS (Copernicus Open Access Hub a.k.a. SciHub, or CODE-DE).
Deep learning-based semantic segmentation of Sentinel-2 multispectral imagery for agricultural land cover classification. The project uses a custom Attention U-Net with spectral indices (NDVI, NDWI, MNDWI, EVI, AWEI) and an end-to-end pipeline including auto-labeling, patch-based training, and GIS-ready inference.
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