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An optimization on machine learning algorithms for mapping snow avalanche susceptibility
Authors:Yariyan  Peyman  Omidvar  Ebrahim  Minaei  Foad  Ali Abbaspour  Rahim  Tiefenbacher  John P
Institution:1.Department of Surveying Engineering, Saghez Branch, Islamic Azad University, Saghez, Iran
;2.Department of Rangeland and Watershed Management, Faculty of Natural Resources and Earth Sciences, University of Kashan, 87317-53153, Kashan, Iran
;3.Department of Geography, Ferdowsi University of Mashhad, Mashhad, Iran
;4.School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran
;5.Department of Geography, Texas State University, San Marcos, TX, 78666, USA
;
Abstract:Natural Hazards - Mapping avalanche-prone areas to mitigate damages is important and vital for safety and development planning. New hybrid models are introduced for snow avalanche susceptibility...
Keywords:
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