A machine learning based estimation method of beach slopes at a national scale: a case study of New Zealand

Keyphrases

• Estimation Method 100%
• New Zealand 100%
• Machine Learning Based 100%
• Coastal Slope 100%
• Beach Slope 100%
• Environmental Factors 50%
• Digital Elevation Model 50%
• LiDAR 50%
• Sandy Beaches 50%
• Slope Estimation 50%
• Machine Learning Techniques 25%
• Prediction Accuracy 25%
• Machine Learning 25%
• Environmental Variables 25%
• Random Forest 25%
• Coastal Environment 25%
• High Cost 25%
• Data-centric 25%
• Innovative Approach 25%
• Novel Methodology 25%
• Estimation Model 25%
• Extreme Gradient Boosting(XGBoost) 25%
• Gradient Boosting Decision Tree 25%
• Comprehensive Dataset 25%
• LiDAR Data 25%
• Regression Techniques 25%
• Predictive Utility 25%
• Machine Learning Regression 25%
• XGBoost Model 25%
• Sandy Coast 25%
• Environmental Covariates 25%
• Method Factors 25%
• Cost-effective Tool 25%
• Sustainable Coastal Development 25%
• Model Applicability 25%
• Topographic Data 25%
• Field Measurement Method 25%

Earth and Planetary Sciences

• Machine Learning 100%
• New Zealand 100%
• Estimation Method 100%
• Optical Radar 75%
• Digital Elevation Model 50%
• Environmental Factor 50%
• Xgboost 50%
• Coastal Environment 25%
• Measurement Method 25%
• Extreme Gradient Boosting 25%

Chemical Engineering

• Learning System 100%
• Xgboost 50%