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    <identifier>10.57760/sciencedb.0124x</identifier>
    <datestamp>2026-09-29T15:43:43Z</datestamp>
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  <dc:date>2026-09-29</dc:date>
  <dc:title>The data of the article &amp;ldquo;Individual Tree Segmentation from Airborne Laser Scanning in Complex Mountainous Forests: Algorithm Comparison and Collaborative Optimization of Key Parameters&amp;rdquo;</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.0124x</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The dataset includes the following files:normalized_pointcloud.las (LAS format, openable with LiDAR360, CloudCompare, etc.): Normalized UAV-LiDAR point cloud data of the study area. Ground points were classified using the Improved Progressive TIN Densification (IPTD) algorithm, and the point cloud was normalized by subtracting the Digital Elevation Model (DEM) to eliminate topographic effects.</dc:description>
  <dc:subject>Airborne LIDAR; Individual tree segmentation; Karst mountainous forest</dc:subject>
  <dc:creator>傅琪钰</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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