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Evaluating Tree Detection and Segmentation Routines on Very High Resolution UAV LiDAR Data
2014
IEEE Transactions on Geoscience and Remote Sensing
Light detection and Ranging (LiDAR) is becoming an increasingly used tool to support decision-making processes within forest operations. Area-based methods that derive information on the condition of a forest based on the distribution of points within the canopy have been proven to produce reliable and consistent results. Individual tree-based methods, however, are not yet used operationally in the industry. This is due to problems in detecting and delineating individual trees under varying
doi:10.1109/tgrs.2014.2315649
fatcat:tgwiy3i5yva6fneo24wh67zfoa