Evaluation of the gully erosion susceptibility by using UAV and hybrid models based on machine learning
Author:
Funder
China University of Geosciences Beijing
National Natural Science Foundation of China
Publisher
Elsevier BV
Reference41 articles.
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3. Water erosion susceptibility mapping by applying Stochastic Gradient Treeboost to the Imera Meridionale River Basin (Sicily, Italy);Angileri;Geomorphology,2016
4. Comparative assessment using boosted regression trees, binary logistic regression, frequency ratio and numerical risk factor for gully erosion susceptibility modelling;Arabameri;Catena,2019
5. Gully erosion zonation mapping using integrated geographically weighted regression with certainty factor and random forest models in GIS;Arabameri;J. Environ. Manag.,2019
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