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Integrating terrestrial and airborne laser scanning for the assessment of single-tree attributes in Mediterranean forest stands

机译:整合陆地和空中激光扫描,以评估地中海森林的单树属性

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The development of laser scanning technologies has gradually modified methods for forest mensuration and inventory. The main objective of this study is to assess the potential of integrating ALS and TLS data in a complex mixed Mediterranean forest for assessing a set of five single-tree attributes: tree position (TP), stem diameter at breast height (DBH), tree height (TH), crown base height (CBH) and crown projection area radii (CPAR). Four different point clouds were used: from ZEB1, a hand-held mobile laser scanner (HMLS), and from FARO? FOCUS 3D, a static terrestrial laser scanner (TLS), both alone or in combination with ALS. The precision of single-tree predictions, in terms of bias and root mean square error, was evaluated against data recorded manually in the field with traditional instruments. We found that: (i) TLS and HMLS have excellent comparable performances for the estimation of TP, DBH and CPAR; (ii) TH was correctly assessed by TLS, while the accuracy by HMLS was lower; (iii) CBH was the most difficult attribute to be reliably assessed and (iv) the integration with ALS increased the performance of the assessment of TH and CPAR with both HMLS and TLS.
机译:激光扫描技术的开发逐渐改性森林测量和库存方法。本研究的主要目的是评估在复杂的混合地中海森林中集成ALS和TLS数据的潜力,以评估一组五个单树属性:树位置(TP),乳房高度(DBH),树的茎直径高度(Th),冠基高度(CBH)和冠投影区域半径(CPAR)。使用了四个不同点云:从Zeb1,手持式移动激光扫描仪(HMLS)以及Faro?焦点3D,静态地面激光扫描仪(TLS),单独或与ALS组合。在具有传统仪器的现场手动记录的数据中评估单树预测的精度,从偏差和均方根误差进行评估。我们发现:(i)TLS和HMLS对TP,DBH和CPAR的估计具有出色的可比性。 (ii)通过TLS正确评估TH,而HMLS的准确性较低; (iii)CBH是可靠评估的最困难的属性,与ALS的整合增加了对HML和TLS评估的性能和CPAS的性能。

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