Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method

Stochastic Environmental Research and Risk Assessment

Volumn 29, Issue 4, 2015, Pages 1149-1165

  Tehrany, Mahyat Shafapour ^a   Pradhan, Biswajeet ^a   Jebur, Mustafa Neamah ^a  

^a UNIVERSITY PUTRA MALAYSIA   (Malaysia)

Author keywords

Decision tree (DT); Flood susceptibility; GIS; Malaysia; Remote sensing; Support vector machine (SVM)

Indexed keywords

ARTIFICIAL INTELLIGENCE; CATCHMENTS; DATA MINING; DECISION TREES; FACTOR ANALYSIS; FLOOD CONTROL; FORECASTING; GEOGRAPHIC INFORMATION SYSTEMS; INFORMATION MANAGEMENT; LAND USE; LEARNING ALGORITHMS; LEARNING SYSTEMS; REMOTE SENSING; SUPPORT VECTOR MACHINES; TREES (MATHEMATICS);

DIGITAL ELEVATION MODEL; FREQUENCY RATIOS; MACHINE LEARNING METHODS; MALAYSIA; STREAM POWER INDEX; SUSCEPTIBILITY ANALYSIS; TOPOGRAPHIC WETNESS INDEX; VALIDATION RESULTS;

FLOODS;

ALGORITHM; ENSEMBLE FORECASTING; FLOOD FORECASTING; FLOODING; GIS; MODEL VALIDATION; MULTIVARIATE ANALYSIS; REMOTE SENSING; SATELLITE DATA;

KELANTAN; KELANTAN BASIN; MALAYSIA; WEST MALAYSIA;

EID: 84928485486     PISSN: 14363240     EISSN: 14363259     Source Type: Journal    
DOI: 10.1007/s00477-015-1021-9     Document Type: Article

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