Machine Learning-Based Gully Erosion Susceptibility Mapping: A Case Study of Eastern India

Gully erosion is a form of natural disaster and one of the land loss mechanisms causing severe problems worldwide. This study aims to delineate the areas with the most severe gully erosion susceptibility (GES) using the machine learning techniques Random Forest (RF), Gradient Boosted Regression Tree...

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Detalles Bibliográficos
Autores principales: Saha, Sunil, Roy, Jagabandhu, Arabameri, Alireza, Blaschke, Thomas, Tien Bui, Dieu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085763/
https://www.ncbi.nlm.nih.gov/pubmed/32121238
http://dx.doi.org/10.3390/s20051313

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085763/
https://www.ncbi.nlm.nih.gov/pubmed/32121238
http://dx.doi.org/10.3390/s20051313

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