Investigation of general indicators influencing on forest fire and its susceptibility modeling using different data mining techniques

Ecological Indicators

Volumn 64, Issue , 2016, Pages 72-84

  Pourtaghi, Zohre Sadat ^a   Pourghasemi, Hamid Reza ^b   Aretano, Roberta ^c   Semeraro, Teodoro ^c  

^a YAZD UNIVERSITY   (Iran)

^b SHIRAZ UNIVERSITY   (Iran)

^c UNIVERSITY OF SALENTO   (Italy)

Author keywords

Boosted regression tree; Forest fire susceptibility mapping; Generalized additive model; GIS; Iran; Random forest

Indexed keywords

DATA MINING; DECISION TREES; DEFORESTATION; FIRE HAZARDS; FORESTRY; GEOGRAPHIC INFORMATION SYSTEMS; LAND USE; MAPPING; RAIN; WIND EFFECTS;

BOOSTED REGRESSION TREES; GENERALIZED ADDITIVE MODEL; IRAN; RANDOM FORESTS; SUSCEPTIBILITY MAPPING;

FIRES;

DATA MINING; FOREST FIRE; GIS; MAPPING; NDVI; RANDOM WALK METHOD; SATELLITE DATA; WILDFIRE;

IRAN;

EID: 84953712109     PISSN: 1470160X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolind.2015.12.030     Document Type: Article

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