使用TLS精确的树盘体积估计:通过点云修复验证和改进
Lu Xie1,2, Fangming Wu2, Dan Zhao2,3
1School of Forestry, Beijing Forestry University, Beijing, China.
Frontiers in plant science
|September 29, 2025
概括
陆地激光扫描 (TLS) 提供了精确的树干体积估计,精度受物种特定树皮和木材特征的影响. 这项研究验证了非破坏性森林库存的TLS.
科学领域:
- 林业科学 林业科学
- 遥感 遥感 遥感 遥感
- 地理空间分析的研究.
背景情况:
- 传统的森林库存方法用于树干量是破坏性的,容易出现错误.
- 陆地激光扫描 (TLS) 为精确的体积估计提供了一个有希望的,非破坏性的替代方案.
- 需要在树级对TLS准确性的系统评估.
研究的目的:
- 评估地面激光扫描 (TLS) 的可靠性和准确性,以估计树干体积.
- 为了将TLS衍生的磁盘体积与水位移测量进行比较.
- 调查物种特征对TLS准确性的影响.
主要方法:
- 通过使用雷卡RTC360 TLS.扫描了四种树木的123个磁盘样本.
- 为点云数据开发了一种新的底面填充算法.
- 波桑表面重建和分歧定理用于体积计算.
主要成果:
- TLS表现出高精度 (R2 = 0.940,CCC = 0.9745) 与轻微低估 (-5.31 cm3) 的情况.
- 特定物种的准确性差异很大 (p = 0.0001),其中*Platycladus orientalis* (rRMSE = 4.37%) 是最准确的,而*Quercus suber* (rRMSE = 7.10%) 最不准确.
- 更光滑的树皮和统一的木结构与更高的估计准确性相关.
结论:
- 树皮特征和木材结构是影响树干体积估计TLS准确性的关键因素.
- TLS为高精度,非破坏性森林体积测量提供了坚实的基础.
- 优化扫描和处理策略可以进一步提高TLS在林业中的应用.
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