Sentinel-2

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.

In this project, I utilized Google Earth Engine (GEE) to conduct a temporal analysis of the devastating August 2023 wildfires in the Dadia Forest, Greece. By modifying the GEE SplitPanel Widget and processing Sentinel-2 imagery, I compared NDVI values from before and after the event. The resulting visualization provides a clear, interactive interface to assess the scale of vegetation loss and environmental damage caused by the fire.