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A comparison of machine learning models for the mapping of groundwater spring potential 期刊论文
发表期刊: ENVIRONMENTAL EARTH SCIENCES. 出版年: 2020, 卷号: 79, 期号: 10
作者:  Al-Fugara, A';  kif;  Pourghasemi, Hamid Reza;  Al-Shabeeb, Abdel Rahman;  Habib, Maan;  Al-Adamat, Rida;  AI-Amoush, Hani;  Collins, Adrian L.
收藏  |  浏览/下载：6/0  |  提交时间：2020/07/01
Machine learning models  Groundwater mapping  Geographic information system  Variable importance  Jordan  
Using machine learning algorithms to map the groundwater recharge potential zones 期刊论文
发表期刊: JOURNAL OF ENVIRONMENTAL MANAGEMENT. 出版年: 2020, 卷号: 265
作者:  Pourghasemi, Hamid Reza;  Sadhasivam, Nitheshnirmal;  Yousefi, Saleh;  Tavangar, Shahla;  Nazarlou, Hamid Ghaffari;  Santosh, M.
收藏  |  浏览/下载：2/0  |  提交时间：2021/01/07
Groundwater recharge  Machine learning algorithms  Variable importance  LASSO  
Relations of land cover, topography, and climate to fire occurrence in natural regions of Iran: Applying new data mining techniques for modeling and mapping fire danger 期刊论文
发表期刊: FOREST ECOLOGY AND MANAGEMENT. 出版年: 2020, 卷号: 473
作者:  Eskandari, Saeedeh;  Pourghasemi, Hamid Reza;  Tiefenbacher, John P.
收藏  |  浏览/下载：15/0  |  提交时间：2021/01/07
Land cover  Effective factors  Data mining techniques  Fire danger mapping  Boruta algorithm  Sentinel-2A satellite images  
A comparison between ten advanced and soft computing models for groundwater qanat potential assessment in Iran using R and GIS 期刊论文
发表期刊: THEORETICAL AND APPLIED CLIMATOLOGY. 出版年: 2018, 卷号: 131, 期号: 3-4, 页码: 967-984
作者:  Naghibi, Seyed Amir;  Pourghasemi, Hamid Reza;  Abbaspour, Karim
收藏  |  浏览/下载：4/0  |  提交时间：2019/11/29
Groundwater mapping  Soft computing models  Geographic information system  Iran  
Comparison of differences in resolution and sources of controlling factors for gully erosion susceptibility mapping 期刊论文
发表期刊: GEODERMA. 出版年: 2018, 卷号: 330, 页码: 65-78
作者:  Garosi, Younes;  Sheklabadi, Mohsen;  Pourghasemi, Hamid Reza;  Besalatpour, Ali Asghar;  Conoscenti, Christian;  Van Oost, Kristof
收藏  |  浏览/下载：13/0  |  提交时间：2019/11/29
Gully erosion  Machine learning model  Remote sensing data  Robustness  Topographic attribute  
Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: A case study at Mehran Region, Iran 期刊论文
发表期刊: CATENA. 出版年: 2016, 卷号: 137, 页码: 360-372
作者:  Rahmati, Omid;  Pourghasemi, Hamid Reza;  Melesse, Assefa M.
Adobe PDF(3912Kb)  |  收藏  |  浏览/下载：28/20  |  提交时间：2019/11/29
Groundwater potential  Random forest (RF)  Maximum entropy (ME)  GIS  Mehran Region  Iran