Machine Learning Models for the Spatial Prediction of Gully Erosion Susceptibility in the Piraí Drainage Basin, Paraíba Do Sul Middle Valley, Southeast Brazil

Soil erosion is a global issue—with gully erosion recognized as one of the most important forms of land degradation. The purpose of this study is to compare and contrast the outcomes of four machine learning models, Classification and Regression (CART), eXtreme Gradient Boosting (XGBoost), Random Fo...

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Detalles Bibliográficos

Principais autores:	Jorge da Paixão Marques Filho, Antônio José Teixeira Guerra, Carla Bernadete Madureira Cruz, Maria do Carmo Oliveira Jorge, Colin A. Booth
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2024-10-01
Series:	Land
Assuntos:	gully erosion susceptibility land degradation machine learning spatial modelling
Acceso en liña:	https://www.mdpi.com/2073-445X/13/10/1665
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