title: Hybrid satellite monitoring and AI platform for rapid identification of flood conditions
abstract: A methodology for constructing a hybrid operational satellite monitoring platform for the early detection of flood zones is presented. The approach combines optical (Sentinel-2), radar (Sentinel-1), and geostationary (SEVIRI) observations, precipitation estimation products (MPE), and ground-based verification. Unified data preprocessing is performed, including georeferencing, reduction to a single spatial resolution, cloud filtering, and windowing of large scenes. A set of index indicators (NDWI
journal: Journal of Radio Electronics