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Updated: Jun 11, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

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基于LightGBM混合模型的森林地区的DEM校正.

Qinghua Li1, Dong Wang1, Fengying Liu1

  • 1College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, Shandong, China.

PloS one
|October 7, 2024
PubMed
概括

这项研究引入了一种新的CNN-LightGBM模型,用FA-SSA算法进行增强,以显著提高森林地区数字海拔模型 (DEM) 的准确性. 这种先进的模型在纠正高度错误方面表现出卓越的性能,以便更好地监测树冠高度和进行生态分析.

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A survey team is tasked with determining the elevation difference between points Point A and Point B, separated by uneven terrain. They use a leveling instrument and a leveling rod.Common MistakesMisreading the Rod: During a backsight reading at Point A, the instrumentman observes the rod partially obscured by tall grass. Instead of reading 1.135 m, they mistakenly record 1.735 m due to the misalignment of the crosshair with the wrong graduation. This error adds 0.600 m to all subsequent...
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