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The ground elevation is an important site-specific parameter for civil engineering. LiDAR is used to determine Ground Elevation at the dawn of new technology; however, there are disadvantages to using... LiDAR. The Ground Elevation is also measured during a Geotechnical Site Investigation, however, these data were only collected at the project's location, leaving unknown at other locations. In order to address this issue, machine learning models were used to generate the ground elevation for selected locations, in this case, Metro Manila Philippines. Models of machine learning were trained: Linear Regression Model, Quadratic Regression Model, Tree Regression Model, Boosted Trees Model, and Artificial Neural Network. The Tree Regression Model is the winning model, and its hyperparameter was optimized. To validate, the generated ground elevation was compared to the collected Metro Manila Digital Terrain Model (DTM).続きを見る
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