Evaluation of different boosting ensemble machine learning models and novel deep learning and boosting framework for head-cut gully erosion susceptibility
The objective of this study is to assess the gully head-cut erosion susceptibility and identify gully erosion prone areas in the Meimand watershed, Iran. In recent years, this study area has been greatly influenced by several head-cut gullies due to unusual climatic factors and human induced activit...
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| Veröffentlicht in: | Journal of environmental management Jg. 284; S. 112015 |
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| Hauptverfasser: | , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
England
Elsevier Ltd
15.04.2021
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| Schlagworte: | |
| ISSN: | 0301-4797, 1095-8630, 1095-8630 |
| Online-Zugang: | Volltext |
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