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

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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Bibliographic Details
Main Authors:	Sunil Saha, Jagabandhu Roy, Alireza Arabameri, Thomas Blaschke, Dieu Tien Bui
Format:	Article
Language:	English
Published:	MDPI AG 2020-02-01
Series:	Sensors
Subjects:	random forest (rf) gradient boosted regression tree (gbrt) tree ensemble (te) naïve bayes tree (nbt) r programming language geographical information system (gis)
Online Access:	https://www.mdpi.com/1424-8220/20/5/1313

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