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Rahmati, Omid, Haghizadeh, Ali, Pourghasemi, Hamid Reza, Noormohamadi, Farhad (2016) Gully erosion susceptibility mapping: the role of GIS-based bivariate statistical models and their comparison. Natural Hazards, 82. 1231-1258 doi:10.1007/s11069-016-2239-7

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Reference TypeJournal (article/letter/editorial)
TitleGully erosion susceptibility mapping: the role of GIS-based bivariate statistical models and their comparison
JournalNatural Hazards
AuthorsRahmati, OmidAuthor
Haghizadeh, AliAuthor
Pourghasemi, Hamid RezaAuthor
Noormohamadi, FarhadAuthor
Year2016 (June)Volume82
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s11069-016-2239-7Search in ResearchGate
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Mindat Ref. ID10355209Long-form Identifiermindat:1:5:10355209:7
GUID0
Full ReferenceRahmati, Omid, Haghizadeh, Ali, Pourghasemi, Hamid Reza, Noormohamadi, Farhad (2016) Gully erosion susceptibility mapping: the role of GIS-based bivariate statistical models and their comparison. Natural Hazards, 82. 1231-1258 doi:10.1007/s11069-016-2239-7
Plain TextRahmati, Omid, Haghizadeh, Ali, Pourghasemi, Hamid Reza, Noormohamadi, Farhad (2016) Gully erosion susceptibility mapping: the role of GIS-based bivariate statistical models and their comparison. Natural Hazards, 82. 1231-1258 doi:10.1007/s11069-016-2239-7
In(n.d.) Natural Hazards Vol. 82. Springer Science and Business Media LLC

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Rahmati, Omid, Tahmasebipour, Nasser, Haghizadeh, Ali, Pourghasemi, Hamid Reza, Feizizadeh, Bakhtiar (2017) Evaluation of different machine learning models for predicting and mapping the susceptibility of gully erosion. Geomorphology, 298. 118-137 doi:10.1016/j.geomorph.2017.09.006
Khosravi, Khabat, Nohani, Ebrahim, Maroufinia, Edris, Pourghasemi, Hamid Reza (2016) A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with multi-criteria decision-making technique. Natural Hazards, 83. 947-987 doi:10.1007/s11069-016-2357-2
Noroozi, Farzaneh, Ghanbarian, Gholamabbas, Safaeian, Roja, Pourghasemi, Hamid Reza (2024) Forest fire mapping: a comparison between GIS-based random forest and Bayesian models. Natural Hazards, 120 (7) 6569-6592 doi:10.1007/s11069-024-06457-9
Arabameri, Alireza, Rezaei, Khalil, Pourghasemi, Hamid Reza, Lee, Saro, Yamani, Mojtaba (2018) GIS-based gully erosion susceptibility mapping: a comparison among three data-driven models and AHP knowledge-based technique. Environmental Earth Sciences, 77 (17). doi:10.1007/s12665-018-7808-5
Rahmati, Omid, Tahmasebipour, Naser, Haghizadeh, Ali, Pourghasemi, Hamid Reza, Feizizadeh, Bakhtiar (2017) Evaluating the influence of geo-environmental factors on gully erosion in a semi-arid region of Iran: An integrated framework. Science of The Total Environment, 579. 913-927 doi:10.1016/j.scitotenv.2016.10.176
Haghizadeh, Ali, Moghaddam, Davoud Davoudi, Pourghasemi, Hamid Reza (2017) GIS-based bivariate statistical techniques for groundwater potential analysis (an example of Iran). Journal of Earth System Science, 126 (8). doi:10.1007/s12040-017-0888-x
Zare, Maryam, Soufi, Majid, Nejabat, Masoud, Pourghasemi, Hamid Reza (2022) The topographic threshold of gully erosion and contributing factors. Natural Hazards, 112 (3) 2013-2035 doi:10.1007/s11069-022-05254-6
Ghasemi, Adel, Bahmani, Omid, Akhavan, Samira, Pourghasemi, Hamid Reza (2023) Investigation of land-subsidence phenomenon and aquifer vulnerability using machine models and GIS technique. Natural Hazards, 118 (2) 1645-1671 doi:10.1007/s11069-023-06058-y
Rahmati, Omid, Pourghasemi, Hamid Reza, Melesse, Assefa M. (2016) Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: A case study at Mehran Region, Iran. CATENA, 137. 360-372 doi:10.1016/j.catena.2015.10.010
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Al-Abadi, Alaa M., Al-Ali, Ali K. (2018) Susceptibility mapping of gully erosion using GIS-based statistical bivariate models: a case study from Ali Al-Gharbi District, Maysan Governorate, southern Iraq. Environmental Earth Sciences, 77 (6). doi:10.1007/s12665-018-7434-2
 
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