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
Reference Type | Journal (article/letter/editorial) | ||
---|---|---|---|
Title | Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: A case study at Mehran Region, Iran | ||
Journal | CATENA | ||
Authors | Rahmati, Omid | Author | |
Pourghasemi, Hamid Reza | Author | ||
Melesse, Assefa M. | Author | ||
Year | 2016 (February) | Volume | 137 |
Publisher | Elsevier BV | ||
DOI | doi:10.1016/j.catena.2015.10.010Search in ResearchGate | ||
Generate Citation Formats | |||
Mindat Ref. ID | 16572559 | Long-form Identifier | mindat:1:5:16572559:0 |
GUID | 0 | ||
Full Reference | 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 | ||
Plain Text | 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 | ||
In | (2016) CATENA Vol. 137. Elsevier BV |
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