The main purpose of the present study is to investigate the possible application of decision tree in landslide susceptibility assessment. The study area having a surface area of 174.8 km locates at the northern coast of the Sea of Marmara and western part of Istanbul metropolitan area. When applying data mining and extracting decision tree, geological formations, altitude, slope, plan curvature...

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Gully erosion is a worldwide threat with numerous environmental, social, and economic impacts. The purpose of this research to evaluate the performance robustness six machine learning ensemble models based on decision tree principle: Random Forest (RF), C5.0, XGBoost, treebag, Gradient Boosting Machines (GBMs) Adaboost, in order map predict gully erosion-prone areas semi-arid mountain context. ...