Spatial prediction of landslide hazard at the Luxi area (China) using support vector machines

Environmental Earth Sciences

Volumn 75, Issue 1, 2016, Pages 1-14

  Hong, Haoyuan ^a,b   Pradhan, Biswajeet ^c   Jebur, Mustafa Neamah ^c   Bui, Dieu Tien ^d   Xu, Chong ^a   Akgun, Aykut ^e  

^a INSTITUTE OF GEOLOGY   (China)

^b Jiangxi Meteorological Bureau   (China)

^c UNIVERSITY PUTRA MALAYSIA   (Malaysia)

^d UNIVERSITY OF SOUTH EASTERN NORWAY   (Norway)

^e KARADENIZ TECHNICAL UNIVERSITY   (Turkey)

Author keywords

China; Geographical information systems (GIS); Landslide susceptibility; Luxi; Remote sensing; Support vector machine (SVM)

Indexed keywords

FORECASTING; GEOGRAPHIC INFORMATION SYSTEMS; LAND USE; LANDSLIDES; LITHOLOGY; LOCATION; RADIAL BASIS FUNCTION NETWORKS; REMOTE SENSING; SEDIMENT TRANSPORT;

CHINA; LANDSLIDE INVENTORIES; LANDSLIDE SUSCEPTIBILITY; LANDSLIDE SUSCEPTIBILITY MAPPING; LUXI; RADIAL BASIS FUNCTION(RBF); SUSCEPTIBILITY MAPS; TOPOGRAPHIC WETNESS INDEX;

SUPPORT VECTOR MACHINES;

GEOLOGICAL MAPPING; GIS; HAZARD ASSESSMENT; INVENTORY; LANDSLIDE; MODEL VALIDATION; NUMERICAL METHOD; PREDICTION; RISK ASSESSMENT; SATELLITE IMAGERY; SPATIAL ANALYSIS; SUPPORT VECTOR MACHINE;

CHINA; JIANGXI;

EID: 84950324104     PISSN: 18666280     EISSN: 18666299     Source Type: Journal    
DOI: 10.1007/s12665-015-4866-9     Document Type: Article

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