Development of a pit filling algorithm for LiDAR canopy height models

摘要: LiDAR canopy height models (CHMs) can exhibit unnatural looking holes or pits, i.e., pixels with a much lower digital number than their immediate neighbors. These artifacts may be caused by combination of factors, from data acquisition to post-processing, that not only result in noisy appearance the CHM but also limit semi-automated tree-crown delineation and lead errors biomass estimates. We present highly effective pit filling algorithm interactively detects pits based on simple user-defined threshold, then fills them value derived neighborhood. briefly describe this its graphical user interface, show populated pits. This method rapidly applied any minimal interaction. Visualization confirms our effectively quickly removes