Application of an Ensemble Statistical Approach in Spatial Predictions of Bushfire Probability and Risk Mapping | Zendy

Mahyat Shafapour Tehrany | Zendy; Haluk Özener | Zendy; Bahareh Kalantar | Zendy; Naonori Ueda | Zendy; Mohammad Reza Habibi | Zendy; Fariborz Shabani | Zendy; Vahideh Saeidi | Zendy; Farzin Shabani | Zendy

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Application of an Ensemble Statistical Approach in Spatial Predictions of Bushfire Probability and Risk Mapping

Author(s) -

Mahyat Shafapour Tehrany,

Haluk Özener,

Bahareh Kalantar,

Naonori Ueda,

Mohammad Reza Habibi,

Fariborz Shabani,

Vahideh Saeidi,

Farzin Shabani

Publication year - 2021

Publication title -

journal of sensors

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.399

H-Index - 43

eISSN - 1687-7268

pISSN - 1687-725X

DOI - 10.1155/2021/6638241

Subject(s) - geospatial analysis , logistic regression , principle of maximum entropy , spatial analysis , geographic information system , ensemble forecasting , computer science , geography , environmental resource management , environmental science , cartography , meteorology , machine learning , artificial intelligence , remote sensing

Kandilli Observatory and Earthquake Research Institute, Department of Geodesy, Bogazici University, 34680 Cengelkoy, Istanbul, Turkey RIKEN Center for Advanced Intelligence Project, Goal-Oriented Technology Research Group, Disaster Resilience Science Team, Tokyo 103-0027, Japan Department of Civil Engineering, Kermanshah Azad University, Iran Department of Mapping and Surveying, Darya Tarsim Consulting Engineers Co. Ltd., Tehran 15119-43943, Iran ARC Centre of Excellence for Australian Biodiversity and Heritage, Global Ecology, College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia, Australia Department of Biological Sciences, Macquarie University, Sydney, New South Wales, Australia

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