Shallow and deep-seated landslide differentiation using support vector machines: A case study of the chuetsu area, Japan

Terrestrial, Atmospheric and Oceanic Sciences

Volumn 29, Issue 2, 2015, Pages 227-239

  Dou, Jie ^a   Paudel, Uttam ^a   Oguchi, Takashi ^a   Uchiyama, Shoichiro ^b   Hayakawa, Yuichi S ^a  

^a UNIVERSITY OF TOKYO   (Japan)

^b NATIONAL RESEARCH INSTITUTE FOR EARTH SCIENCE AND DISASTER PREVENTION   (Japan)

Author keywords

Airborne Lidar DEM; Differentiation; Shallow and deep seated landslide; SVMs

Indexed keywords

ACCURACY ASSESSMENT; AFTERSHOCK; AIRBORNE SURVEY; DIGITAL ELEVATION MODEL; DISASTER MANAGEMENT; EARTHQUAKE EVENT; GEOLOGICAL HAZARD; HAZARD ASSESSMENT; LANDSLIDE; PREDICTION; RISK ASSESSMENT; SUPPORT VECTOR MACHINE; TRIGGER MECHANISM;

CHUBU; CHUETSU; HONSHU; JAPAN; NIIGATA;

EID: 84983479538     PISSN: 10170839     EISSN: 23117680     Source Type: Journal    
DOI: 10.3319/TAO.2014.12.02.07(EOSI)     Document Type: Article

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