Vote for your favorite mineral in #MinCup25! - Jeremejevite vs. HaĆ¼yne
Are you ready for a battle of the blues? In a match of newcomers, volcanic gem hauyne is taking on rare jeremejevite.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

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

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleForest fire mapping: a comparison between GIS-based random forest and Bayesian models
JournalNatural Hazards
AuthorsNoroozi, FarzanehAuthor
Ghanbarian, GholamabbasAuthor
Safaeian, RojaAuthor
Pourghasemi, Hamid RezaAuthor
Year2024 (May)Volume120
Issue7
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s11069-024-06457-9Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID17386566Long-form Identifiermindat:1:5:17386566:0
GUID0
Full ReferenceNoroozi, 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
Plain TextNoroozi, 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
In(2024, May) Natural Hazards Vol. 120 (7) Springer Science and Business Media LLC

See Also

These are possibly similar items as determined by title/reference text matching only.

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
Behzadi, Saeed; Ghanbarian, Gholamabbas; Khosravi, Rasool; Safaeian, Roja; Pourghasemi, Hamid Reza (2025) Habitat Suitability of Ziziphus spinaā€christi and Ziziphus nummularia in a Changing Climate in the Khalijoā€Omanian Zone, Iran. Ecology and Evolution, 15 (5). doi:10.1002/ece3.71406
Zabihi, Mohsen, Pourghasemi, Hamid Reza, Pourtaghi, Zohre Sadat, Behzadfar, Morteza (2016) GIS-based multivariate adaptive regression spline and random forest models for groundwater potential mapping in Iran. Environmental Earth Sciences, 75 (8). doi:10.1007/s12665-016-5424-9
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
Pourghasemi, Hamid Reza, Pouyan, Soheila, Bordbar, Mojgan, Golkar, Foroogh, Clague, John J. (2023) Flood, landslides, forest fire, and earthquake susceptibility maps using machine learning techniques and their combination. Natural Hazards, 116 (3) 3797-3816 doi:10.1007/s11069-023-05836-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
Li, Shi-yi, Li, Xin, Yang, Fu-qiang, Ge, Fan-liang (2024) Etiological study on forest fire accidents using Bow-tie model and Bayesian network. Natural Hazards, 120 (13). doi:10.1007/s11069-024-06690-2
Najafi, Zeynab, Pourghasemi, Hamid Reza, Ghanbarian, Gholamabbas, Fallah Shamsi, Seyed Rashid (2020) Land-subsidence susceptibility zonation using remote sensing, GIS, and probability models in a Google Earth Engine platform. Environmental Earth Sciences, 79 (21) doi:10.1007/s12665-020-09238-2
Memisoglu Baykal, Tugba (2025) Performance assessment of GIS-based spatial clustering methods in forest fire data. Natural Hazards, 121 (7). doi:10.1007/s11069-025-07135-0
Abdollahi, Sahar, Pourghasemi, Hamid Reza, Ghanbarian, Gholam Abbas, Safaeian, Roja (2019) Prioritization of effective factors in the occurrence of land subsidence and its susceptibility mapping using an SVM model and their different kernel functions. Bulletin of Engineering Geology and the Environment, 78. 4017-4034 doi:10.1007/s10064-018-1403-6
Youssef, Ahmed M., Elā€‘Haddad, Bosy A., Skilodimou, Hariklia D., Bathrellos, George D., Golkar, Foroogh, Pourghasemi, Hamid Reza (2024) Landslide susceptibility, ensemble machine learning, and accuracy methods in the southern Sinai Peninsula, Egypt: Assessment and Mapping. Natural Hazards, 120 (15). doi:10.1007/s11069-024-06769-w
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are Ā© OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833ā€“844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 3, 2025 19:59:40
Go to top of page