A support vector machine for landslide susceptibility mapping in Gangwon Province, Korea

Sustainability (Switzerland)

Volumn 9, Issue 1, 2017, Pages

  Lee, Saro ^a,b   Hong, Soo Min ^c   Jung, Hyung Sup ^c  

^a Korea Institute of Geosceince and Mineral Resources   (South Korea)

^b University of Science and Technology (UST)   (South Korea)

^c University of Seoul   (South Korea)

Author keywords

GIS; Landslide; Sensitivity analysis; SVM; Validation

Indexed keywords

AERIAL PHOTOGRAPH; DATA MINING; DATABASE; GEOLOGICAL MAPPING; GIS; LAND COVER; LANDSLIDE; MAPPING METHOD; MODEL VALIDATION; OLYMPIC GAMES; SENSITIVITY ANALYSIS; SPATIAL DATA; SUPPORT VECTOR MACHINE;

INJE; KANGWON; PYEONGCHANG; SOUTH KOREA;

EID: 85011031974     PISSN: None     EISSN: 20711050     Source Type: Journal    
DOI: 10.3390/su9010048     Document Type: Article

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