In this project, I explore the capabilities of the Copernicus Browser by applying a custom "Urban Classified" script to Sentinel-2 imagery. By utilizing specific band combinations and indices (NDVI and NDWI), I successfully automated the classification of the Salzburg region into distinct categories—water, built-up areas, vegetation, and barren soil—demonstrating the power of client-side scripting for real-time remote sensing analysis.
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