Spatial analysis and machine learning prediction of forest fire susceptibility: a comprehensive approach for effective management and mitigation
Manoranjan MishraDepartment of Geography, Fakir Mohan University, Vyasa Vihar, Nuapadhi, Balasore 756089, Odisha, IndiaRajkumar GuriaDepartment of Geography, Fakir Mohan University, Vyasa Vihar, Nuapadhi, Balasore 756089, Odisha, IndiaBiswaranjan BarajDepartment of Geography, Fakir Mohan University, Vyasa Vihar, Nuapadhi, Balasore 756089, Odisha, IndiaAmbika Prasad NandaTata Steel Rural Development Society, Kalinganagar, Above SBI ATM Duburi Chowk, Jajpur district 755026, Odisha, India. Electronic address: [email protected]Celso Augusto Guimarães SantosDepartment of Civil and Environmental Engineering, Federal University of Paraíba, João Pessoa 58051-900, Paraíba, Brazil. Electronic address: [email protected]Richarde Marques da SilvaDepartment of Geosciences, Federal University of Paraíba, João Pessoa 58051-900, Paraíba, Brazil. Electronic address: [email protected]FX Anjar Tri LaksonoDepartment of Geology and Meteorology, Institute of Geography and Earth Sciences, Faculty of Sciences, University of Pécs, H-7624 Pécs, Hungary; Department of Geological Engineering, Faculty of Engineering, Jenderal Soedirman University, 53371 Purbalingga, Indonesia. Electronic address: [email protected]
2024en
ABI
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