GIS-based forest fire susceptibility mapping in Iran: a comparison between evidential belief function and binary logistic regression models

Scandinavian Journal of Forest Research

Volumn 31, Issue 1, 2016, Pages 80-98

  Pourghasemi, Hamid Reza ^a  

^a SHIRAZ UNIVERSITY   (Iran)

Author keywords

binary logistic regression; evidential belief function; forest fire mapping; Iran

Indexed keywords

DEFORESTATION; FIRE HAZARDS; FORESTRY; GEOGRAPHIC INFORMATION SYSTEMS; IMAGE RECONSTRUCTION; LAND USE; MAPPING; REGRESSION ANALYSIS; UNCERTAINTY ANALYSIS; WIND EFFECTS;

BELIEF FUNCTION; BINARY LOGISTIC REGRESSION; BINARY LOGISTIC REGRESSION MODELS; FOREST FIRES; IRAN; NORMALIZED DIFFERENCE VEGETATION INDEX; RECEIVER OPERATING CHARACTERISTIC CURVES; TOPOGRAPHIC WETNESS INDEX;

FIRES;

EID: 84947024662     PISSN: 02827581     EISSN: 16511891     Source Type: Journal    
DOI: 10.1080/02827581.2015.1052750     Document Type: Article

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