Ensemble-based landslide susceptibility maps in Jinbu area, Korea

Environmental Earth Sciences

Volumn 67, Issue 1, 2012, Pages 23-37

  Lee, Moung Jin ^a,d   Choi, Jae Won ^b   Oh, Hyun Joo ^c   Won, Joong Sun ^d   Park, Inhye ^e   Lee, Saro ^c  

^a Korea Environment Institute (KEI)   (South Korea)

^b National Institute for Disaster Prevention   (South Korea)

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

^d Yonsei University   (South Korea)

^e University of Seoul   (South Korea)

Author keywords

Ensemble; GIS; Korea; Landslide; Susceptibility

Indexed keywords

ACCURACY ASSESSMENT; AERIAL PHOTOGRAPHS; ARTIFICIAL NEURAL NETWORK MODELS; ENSEMBLE; ENSEMBLE METHODS; ENSEMBLE MODELS; ENSEMBLE TECHNIQUES; FIELD SURVEYS; FREQUENCY RATIOS; INDIVIDUAL MODELS; INPUT FACTORS; KOREA; LANDSLIDE SUSCEPTIBILITY; LOGISTIC REGRESSIONS; OVERLAY ANALYSIS; PREDICTION ACCURACY; SPATIAL DATABASE; SUSCEPTIBILITY MAPS;

FACTOR ANALYSIS; GEOGRAPHIC INFORMATION SYSTEMS; LOGISTICS; MAGNETIC SUSCEPTIBILITY; NEURAL NETWORKS; REGRESSION ANALYSIS;

LANDSLIDES;

AERIAL PHOTOGRAPH; ARTIFICIAL NEURAL NETWORK; DATABASE; ENSEMBLE FORECASTING; FIELD SURVEY; GIS; LANDSLIDE; MAPPING METHOD; MODEL VALIDATION; PREDICTION; REGRESSION ANALYSIS;

JINBU; KANGWON; KOREA; SOUTH KOREA;

EID: 84865718031     PISSN: 18666280     EISSN: 18666299     Source Type: Journal    
DOI: 10.1007/s12665-011-1477-y     Document Type: Article

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