H
Hamid Reza Pourghasemi
Researcher at Shiraz University
Publications - 293
Citations - 19927
Hamid Reza Pourghasemi is an academic researcher from Shiraz University. The author has contributed to research in topics: Landslide & Topographic Wetness Index. The author has an hindex of 65, co-authored 259 publications receiving 13189 citations. Previous affiliations of Hamid Reza Pourghasemi include Islamic Azad University & Tarbiat Modares University.
Papers
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Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran
TL;DR: In this paper, the authors used fuzzy logic and analytical hierarchy process (AHP) models to produce landslide susceptibility maps of a landslide-prone area (Haraz) in Iran.
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Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in Nepal Himalaya
Krishna Chandra Devkota,Amar Deep Regmi,Hamid Reza Pourghasemi,Kohki Yoshida,Biswajeet Pradhan,In Chang Ryu,Megh Raj Dhital,Omar F. Althuwaynee +7 more
TL;DR: In this article, a landslide susceptibility assessment of Mugling-Narayanghat road and its surrounding area is made using bivariate (certainty factor and index of entropy) and multivariate (logistic regression) models.
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GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran
TL;DR: The BRT model produced the best prediction results while predicting locations of springs followed by CART and RF models, respectively, and Geospatially integrated BRT, CART, and RF methods proved to be useful in generating the spring potential map (SPM) with reasonable accuracy.
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Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS
Omid Rahmati,Aliakbar Nazari Samani,Mohamad Mahdavi,Hamid Reza Pourghasemi,Hossein Zeinivand +4 more
TL;DR: In this article, a standard methodology has been applied to delineate groundwater resource potential zonation based on integrated analytical hierarchy process (AHP), geographic information system (GIS), and remote sensing (RS) techniques in Kurdistan plain, Iran.
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Landslide susceptibility mapping using index of entropy and conditional probability models in GIS: Safarood Basin, Iran
TL;DR: In this article, the authors used an index of entropy and conditional probability model to produce landslide susceptibility maps at Safarood basin, Iran using two statistical models such as an Index of Entropy and Conditional Probability and to compare the obtained results.