Forecasting and validation of landslide susceptibility using an integration of frequency ratio and neuro-fuzzy models: a case study of Seorak mountain area in Korea

Environmental Earth Sciences

Volumn 74, Issue 1, 2015, Pages 413-429

  Lee, Moung Jin ^a   Park, Inhye ^b   Lee, Saro ^c,d  

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

^b University of Seoul   (South Korea)

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

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

Author keywords

Adaptive neuro fuzzy inference system (ANFIS); Frequency ratio; GIS Korea; Integration; Landslide

Indexed keywords

DATABASE SYSTEMS; FUZZY INFERENCE; FUZZY SYSTEMS; GEOGRAPHIC INFORMATION SYSTEMS; INTEGRATION; MAPPING; MEMBERSHIP FUNCTIONS; TRACKING (POSITION);

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; AERIAL PHOTOGRAPHS; FREQUENCY RATIO MODELS; FREQUENCY RATIOS; LANDSLIDE SUSCEPTIBILITY; LANDSLIDE SUSCEPTIBILITY MAPPING; SUSCEPTIBILITY MAPS; VALIDATION RESULTS;

LANDSLIDES;

ACCURACY ASSESSMENT; AERIAL PHOTOGRAPH; DATABASE; FIELD SURVEY; FORECASTING METHOD; FREQUENCY ANALYSIS; FUZZY MATHEMATICS; GEOLOGICAL MAPPING; GIS; INTEGRATED APPROACH; LANDSLIDE; MODEL VALIDATION;

KANGWON; SEORAKSAN; SOUTH KOREA;

EID: 84931572342     PISSN: 18666280     EISSN: 18666299     Source Type: Journal    
DOI: 10.1007/s12665-015-4048-9     Document Type: Article

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