The Role of Co- and Cross-Polarizations Insar Coherences in Mapping Flooded Urban Areas [* Cross-Reference *]

It is composed of a two-steps approach that first uses the SAR data to identify buildings and then takes advantage of the Interferometric SAR coherence feature from both co- and cross-polarizations to detect the presence of floodwater in urbanized areas. The preliminary detection of buildings is a pre-requisite for classifying them as flooded based on the InSAR coherence temporal decrease when water is present in urban areas, given that in general buildings show a strong temporal coherence.

In addition, the short temporal and perpendicular baselines of the intereferomeric Sentinel-1 image acquisitions is an advantage for this kind of approach. The algorithm is applied to Sentinel-1 images acquired during the major flood event that hit Jakarta (Indonesia) in January 2020. ***This entry has been automatically imported via Infodoc(ASO) CSV by LIST harvest scripts. Please refer to doi.org/10.1109/IGARSS39084.2020.9323905 for the original and latest version of the dataset and data downloads***