Parcourir Department of Soil Science par sujet "soil erosion; land degradation; sustainable land management; landscape restoration; spatial prediction; machine learning"
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Spatial Prediction and Mapping of Gully Erosion Susceptibility Using Machine Learning Techniques in a Degraded Semi-Arid Region of Kenya
(Land, 2023)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 ...