Assessment of gully erosion susceptibility using four data-driven models AHP, FR, RF and XGBoosting machine learning algorithms

Gully erosion is a significant global threat to socioeconomic and environmental sustainability, making it a widespread natural hazard. Developing spatial models for gully erosion is crucial for local governance to effectively implement mitigation measures and promote regional development. This study...

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Hlavní autoři:	Md Hasanuzzaman, Pravat Shit
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	KeAi Communications Co. Ltd. 2025-03-01
Edice:	Natural Hazards Research
Témata:	Gully erosion Machine learning GIS Factor importance Kangsabati catchment India
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2666592124000362
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