Flood Area Detection Using ALOS-2 PALSAR-2 Data for the 2015 Heavy Rainfall Disaster in the Kanto and Tohoku Area, Japan

Rapid and all-weather detection of flood area is needed for monitoring and mitigating flood disasters. This paper addressed flood area detection by using ALOS-2 PALSAR-2 data acquired during the 2015 heavy rainfall disaster in Kanto and Tohoku area, Japan. We propose an approach to detect flood area...

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Veröffentlicht in:	Journal of The Remote Sensing Society of Japan 2019, Vol.39(Supplement), pp.S43-S55
Hauptverfasser:	OHKI, Masato, WATANABE, Manabu, NATSUAKI, Ryo, MOTOHKA, Takeshi, NAGAI, Hiroto, TADONO, Takeo, SUZUKI, Shinichi, ISHII, Keiko, ITOH, Takuya, YAMANOKUCHI, Tsutomu, SHIMADA, Masanobu
Format:	Artikel
Sprache:	eng
Schlagworte:	ALOS-2 PALSAR-2 Coherence Comparative analysis Comparative studies Data acquisition Detection Disaster management disaster monitoring Disasters Feasibility studies Flood control Flood mapping flooding Floods Hydrologic data Image detection Incidence angle Interferometry Monitoring Rain Rainfall synthetic aperture radar Urban areas Weather
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