Flood inundation mapping with multi-satellite soil moisture observations

• DOI: 10.5194/egusphere-egu2020-9225
• Publication Date: 2020-03-09T20:40:57Z
• Authors: Jiao Wang; Otto Chen; Yiheng Chen; Ying Liu; Lu Zhuo; Miguel Rico-Ramirez; Dawei Han
• Keywords: Flood forecasting

<p>In recent decades, remote sensing has widely been used in mapping floods inundations, and many studies have explored the association between antecedent soil moisture precipitation to assess or predict with quantity intensity. However, capturing specific flooding events is not always guaranteed because of satellite poor revisit frequency. Moreover, little attention paid retrieve historic flood inundation based on dynamics, especially areas data scarcity both terms observations fine temporal resolution data.</p><p>In this study we attempt explore issue two contrasting areas: one arid humid, which are Nile Delta Mississippi River Delta, respectively. Several selected conduct analysis. Multiple microwave products analysed, including European Space Agency Climate Change Initiative (ESA-CCI) Soil Moisture, Moisture Active Passive (SMAP), Advanced Microwave Scanning Radiometer (AMSR-2) ESA Sentinel imagery.</p><p>Considering that decreases more slowly than surface flooded water, present aims dynamics from satellites, main objectives are: (1) make a comparison spatial dynamic patterns above-mentioned areas; (2) investigate method for distinguishing fully saturated; (3) develop an approach detecting dynamics; (4) calibrate output WRF-Hydro model using observations. Results expected be applicable decision-making disaster relief prediction.</p>