Building Damage Assessment Over Ukraine Using SAR Time Series

Building damage assessment is critical in regions facing geopolitical challenges. This paper explores the use of Synthetic Aperture Radar remote sensing data, specifically from the Sentinel-1 constellation, to improve the accuracy and operational efficiency of building damage assessment. The approach is based on the use of SAR backscatter time series for a pixel-wise change detection methodology. As a case study, we consider the state of Ukraine, which has experienced significant building damage due to the ongoing Russo-Ukrainian war. Using the presented approach, we demonstrate the feasibility of change detection from freely available SAR data with weekly temporal resolution and at a nationwide spatial scale.