Spatial Prediction and Mapping of Gully Erosion Susceptibility Using Machine Learning Techniques in a Degraded Semi-Arid Region of Kenya
This study aimed at (i) developing, evaluating and comparing the performance of support vector machines (SVM), boosted regression trees (BRT), random forest (RF) and logistic regression (LR) models in mapping gully erosion susceptibility, and (ii) determining the important gully erosion conditioning...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-04-01
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Series: | Land |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-445X/12/4/890 |