Data and Code for "Predicting Riverbank Erosion Susceptibility Using Machine Learning and GIS" (Sefidroud Watershed)
收藏官方服务：
资源简介：
This dataset contains the spatial data, training/testing samples, and Python/R codes used for the machine learning modeling in the study titled "Predicting Riverbank Erosion Susceptibility Using Machine Learning and GIS (Case Study: Sefidroud Watershed, Iran)". It includes data for 1000 sample points and the environmental variables used in the Random Forest, XGBoost, LightGBM, and CatBoost models.
提供机构：
Zenodo创建时间：
2026-09-24
