Flood hazard monitoring in the Midwest using Sentinel data

Authors: Hung Ha*, Indiana State University
Topics: Hazards, Risks, and Disasters, Remote Sensing, Geographic Information Science and Systems
Keywords: Flood hazard, SAR
Session Type: Paper
Day: 4/11/2018
Start / End Time: 8:00 AM / 9:40 AM
Room: Napoleon B1, Sheraton 3rd Floor
Presentation File: No File Uploaded


The Midwestern United States consists of the north-central states of the United States of America such as Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri, Ohio, and Wisconsin, which are facing with risks from flood hazards. Typical torrential rainfall events in May 2017 in Missouri, Arkansas, and Illinois with 4-6 inch of rainfall caused severe flooding (most severe flood over 100 years) in the area, and heavy rainfall in August 2016 in Indiana led to flash flood and high inundation in Indianapolis. Remote sensing (RS) data is an optimal way for effective flood assessment. However, cloud cover during rainy days might be a challenge for optical RS since it will cover the areas of interest. For that reason, Radar RS, specifically synthetic aperture radar (SAR) data might be an optimal alternative since it can observe the surface phenomenon without getting disturbance from the weather or the time of image acquisition. In this study, we are using Sentinel data achieved from European Spatial Agency (ESA) to assess the spatial distributions and behaviors of flooding in the flood hazards as mentioned above. The results of this research shall help to further test the application of SAR data in monitoring hazards with specific case study in the Midwest.

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