Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model

Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model

Floods are some of the most dangerous and most frequent natural disasters occurring in the northern region of Iran. Flooding in this area frequently leads to major urban, financial, anthropogenic, and environmental impacts. Therefore, the development of flood susceptibility maps used to identify flo...

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Bibliographic Details
Main Authors: Duie Tien Bui, Khabat Khosravi, Himan Shahabi, Prasad Daggupati, Jan F. Adamowski, Assefa M. Melesse, Binh Thai Pham, Hamid Reza Pourghasemi, Mehrnoosh Mahmoudi, Sepideh Bahrami, Biswajeet Pradhan, Ataollah Shirzadi, Kamran Chapi, Saro Lee
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Remote Sensing
Subjects:
Flood spatial modeling
Evidential belief function
Logistic regression
Ensemble method
GIS
Iran
Online Access:https://www.mdpi.com/2072-4292/11/13/1589

Internet

https://www.mdpi.com/2072-4292/11/13/1589

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