Publication | Open Access

Assessing the predictive capability of ensemble tree methods for landslide susceptibility mapping using XGBoost, gradient boosting machine, and random forest

Gradient Boosting MachineEngineeringLandslide SusceptibilityData ScienceGeomorphologyForest BiometricsPredictive AnalyticsForestryGeographyRemote SensingDecision Tree LearningDisaster DetectionMultiple Classifier SystemEnsemble MethodsEnsemble AlgorithmRandom Forest