New Semi-automated Coastal Cliff Erosion Detection Methods for Large Datasets of Point Clouds in Southern California
Date:
Session: EP31C-2092
Authors: Connor J. Mack, Adam Young
Developed a methodology combining machine learning with the M3C2 algorithm to extract detailed coastal change information from large LiDAR datasets, automating methods for processing point cloud data collected across Southern California’s coastline.