A Novel Index for Daily Flood Inundation Retrieval from CYGNSS Measurements

Since flood inundation hampers human life and the economy, retrieval with high temporal resolution accuracy is essential for projection of environmental impact. In this study, a novel cyclone global navigation satellite system (CYGNSS)-based index, named annual threshold index (ATFII) retrieval, proposed, grades are quantified. First, CYGNSS surface reflectivity land properties (i.e., vegetation roughness) calibration derived based on zeroth-order radiative transfer model. Then, an ATFII proposed to achieve classified. The results validated Visible Infrared Imaging Radiometer Suite (VIIRS) product GPM precipitation data. validation between indicate that enables at rapid timescales quantifies variation grades. Likewise, monthly results, R value VIIRS varies from 0.51 0.64, acceptable significance level (p < 0.05). study makes contributions in two aspects: (1) it provides index-based method mapping daily large scale, advantages fast speed convenience, (2) new way derive grade variations, which can help studying behavior response impacts directly.