Creation of Rwaar: Rapid Water Analysis Algorithm for Response & Recovery, A Rapid Method for Detection and Mapping of Flooding from Hurricane Ian Using Sentinel-2 Multispectral Imagery

This study introduces a water index coined RWAAR: Rapid Water Analysis Algorithm for Response and Recovery for rapid flood detection using only freely available Sentinel-2 imagery. RWAAR exploits differences in spectral signatures of water, clouds, soil, concrete, asphalt, and vegetation in the following Sentinel-2 bands: band 2 (blue), band 8a (NIR), and band 11 (SWIR) to automatically extract pixels containing surface water. RWAAR was used to map flood inundation from Hurricane Ian using Sentinel-2 Level-2A imagery that was collected on September 30th, 2022. When compared to manually classified NOAA very high-resolution aerial imagery there was a 94.4% match. Current indices, NDWI and MNDWI were also tested and then compared to the NOAA imagery. For this location, NDWI had only a 61.3% match while MNDWI had a match of only 53.2%; however, more testing is needed and ongoing.