Spatial prediction of landslide susceptibility using integrated frequency ratio with entropy and support vector machines by different kernel functions

Environmental Earth Sciences

Volumn 75, Issue 20, 2016, Pages

  Chen, Wei ^a   Wang, Jiale ^a   Xie, Xiaoshen ^a   Hong, Haoyuan ^b   Van Trung, Nguyen ^c   Bui, Dieu Tien ^d   Wang, Gang ^e   Li, Xinrui ^e  

^a XI'AN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b Jiangxi Meteorological Bureau   (China)

^c HANOI UNIVERSITY OF MINING AND GEOLOGY   (Viet Nam)

^d UNIVERSITY OF SOUTH EASTERN NORWAY   (Norway)

^e Team 185 of Shaanxi Coal Geology Bureau   (China)

Author keywords

Frequency ratio; Index of entropy; Landslide susceptibility; Long County; Support vector machine

Indexed keywords

DECISION MAKING; ENTROPY; FORECASTING; LAND USE; LANDSLIDES; LITHOLOGY; RADIAL BASIS FUNCTION NETWORKS; RISK ASSESSMENT;

AREA UNDER THE CURVES; FREQUENCY RATIOS; LANDSLIDE SUSCEPTIBILITY; LANDSLIDE SUSCEPTIBILITY MAPPING; LONG COUNTY; PREDICTION CAPABILITY; RISK ASSESSMENT AND MANAGEMENTS; SPATIAL PREDICTION;

SUPPORT VECTOR MACHINES;

ENTROPY; FIELD SURVEY; FREQUENCY ANALYSIS; HISTORICAL RECORD; LAND USE; LANDSLIDE; MACHINE LEARNING; MODEL VALIDATION; NDVI; PERFORMANCE ASSESSMENT; PREDICTION; SLOPE ANGLE; SPATIAL DATA; SUPPORT VECTOR MACHINE;

GEORGIA; LONG COUNTY; UNITED STATES;

EID: 84991062218     PISSN: 18666280     EISSN: 18666299     Source Type: Journal    
DOI: 10.1007/s12665-016-6162-8     Document Type: Article

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