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
Hauptverfasser: Chen, Wei, Lei, Xinxiang, Chakrabortty, Rabin, Chandra Pal, Subodh, Sahana, Mehebub, Janizadeh, Saeid
Format: Journal Article
Sprache:Englisch
Veröffentlicht: England Elsevier Ltd 15.04.2021
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ISSN:0301-4797, 1095-8630, 1095-8630
Online-Zugang:Volltext
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