Postdoctoral researcher University of Georgia Athens, Georgia, United States
This study was conducted to demonstrate the potential of LiDAR technology to estimate the forest inventory variables. In addition to the LiDAR collection, ground truth data from 254 sampling plots and aerial photography were utilized to develop the models to characterize and map the whole forest.
Learning Objectives:
know whether the addition of aerial photographs improves the model accuracy.
know the reliable model to estimate the forest inventory variables.
know the proper statistical process and methods for LiDAR data analysis.
