Ensemble of Machine-Learning Methods for Predicting Gully Erosion Susceptibility

Ensemble of Machine-Learning Methods for Predicting Gully Erosion Susceptibility

Gully formation through water-induced soil erosion and related to devastating land degradation is often a quasi-normal threat to human life, as it is responsible for huge loss of surface soil. Therefore, gully erosion susceptibility (GES) mapping is necessary in order to reduce the adverse effect of...

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Bibliographic Details
Main Authors: Subodh Chandra Pal, Alireza Arabameri, Thomas Blaschke, Indrajit Chowdhuri, Asish Saha, Rabin Chakrabortty, Saro Lee, Shahab. S. Band
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Remote Sensing
Subjects:
rugged topography
gully erosion susceptibility
BRT-Bagging
cross validation
Online Access:https://www.mdpi.com/2072-4292/12/22/3675

Internet

https://www.mdpi.com/2072-4292/12/22/3675

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