Japan Geoscience Union Meeting 2018

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[EE] Oral

H (Human Geosciences) » H-DS Disaster geosciences

[H-DS06] Advanced remote sensing toward Mega-Disaster Response

Mon. May 21, 2018 9:00 AM - 10:30 AM 202 (2F International Conference Hall, Makuhari Messe)

convener:Young-Joo Kwak(ICHARM-UNESCO: International Centre for Water Hazard And Risk Management), Wataru Takeuchi(Institute of Industrial Science, The University of Tokyo), Biswajet Pradhan, Chairperson:Kwak Young-Joo(ICHARM-UNESCO, PWRI), Takeuchi Wataru(The University of Tokyo), Pradhan Biswajeet(University of Technology Sydney)

9:15 AM - 9:30 AM

[HDS06-02] Geospatial awareness of a hurricane-induced flood by means of ALOS-2

*Hiroto Nagai1, Masato Ohki1, Takahiro Abe1 (1.Japan Aerospace Exploration Agency)

Keywords:SAR, Flood, NoBADi

We need prompt providing of a flood map when a large-scale flood is caused by a hurricane. In this study, we propose a new flood-mapping method by means of a space-borne L-band synthetic aperture radar, PALSAR-2. Images of mean and standard deviation are calculated from multiple pre-flood PALSAR-2 backscatter amplitude images. Difference between a post-flood image and a mean pre-flood image divided by pre-flood standard deviation is defined as normalized backscatter amplitude difference index (NoBADi), which is applied on a west coast of Florida, the U.S. affected by Hurricane Irma on Sep. 2017. Validation by means of high-resolution optical satellite image suggested that NoBADi has shown appropriate area of flooding parts. This method also quantifies the frequency/rarity of flooding, which has a possibility of use in potentially low float lands such as a part of Florida.