来自双时代空中激光扫描数据和库存数据的立场高度增量
Paulina Jaczewska1, Aleksandra Sekrecka1, Bartosz Czarnecki1
1Department of Imagery Intelligence, Faculty of Civil Engineering and Geodesy, Military University of Technology, 00-908 Warsaw, Poland.
Sensors (Basel, Switzerland)
|November 13, 2025
概括
空载光检测和测距 (LiDAR) 可以估计森林的植被增长. 这项研究表明LiDAR数据与库存数据有适度的相关性,改善了森林管理潜力.
科学领域:
- 林业林业 林业 林业 林业
- 遥感 遥感 遥感 遥感
- 生态生态学 生态生态学
背景情况:
- 估计树木生长对于生态和森林管理至关重要.
- 空载光探测和测距 (LiDAR) 为森林评估提供了一种实用的方法.
- 公共可用的LiDAR数据为广泛森林监测提供了机会.
研究的目的:
- 评估使用公开可用的LiDAR数据来评估森林覆盖面增长的可行性.
- 将来自LiDAR数据的高度增量与传统库存数据进行比较.
主要方法:
- 从2013年到2022年为波兰北部的森林利用空中LiDAR点云 (精度为0.15-0.25米,精度为4 pts/m2).
- 收集了同一年的相应森林库存数据.
- 开发了一种方法来计算LiDAR数据的高度增量,并比较了216棵树的结果.
主要成果:
- 在LiDAR估计的身高增长与库存数据之间发现了中等的正相关性 (Pearson r = 0.6).
- 该研究确定了通过在生长季节进行LiDAR测量来减少错误的潜力.
结论:
- 空载LiDAR数据可以有效地应用到估计森林积增长.
- 这项技术具有提高森林库存和管理实践的巨大潜力.
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