Combining mobile and static terrestrial laser scanners to investigate individual crown attributes during foliation
Combining mobile and static terrestrial laser scanners to investigate individual crown attributes during foliation
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DOI：
10.5589/m11-045
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发表时间：
2011-08-01
影响因子：
2.6
通讯作者：
Jaakkola, Anttoni
中科院分区：
文献类型：
--
作者：
Lin, Yi;Hyyppa, Juha;Jaakkola, Anttoni
调查个人冠属性产生洞察森林冠层特性在大面积，然而，有效地映射单冠仍然是一个未充分利用的话题。静态地面激光扫描（TLS）可以提供冠的详细描述，并可作为现场人工测量的替代品。前期工作还积累了TLS采样和特定树冠属性之间的许多TLS-树冠参考关系。然而，这种库存技术的使用需要将TLS系统放置在多个位置，这是一个费力的过程。移动的地面激光扫描（MLS）是一种最先进的测量技术，由于其在有效测绘物体方面的优势，显示出克服这一限制的潜力。本研究试图提出一种新的方法，有可能调查冠层的属性，特别是在叶理。基本原理是首先探索MLS和TLS衍生的预测变量之间的相关性。考虑到所得到的MLS-TLS预测器关系是强的和正的，特定的树冠响应变量，例如，生物量和叶面积指数，然后可以检索与相应的TLS冠参考关系作为先验联系。这种新的方法进行了评估的基础上MLS和TLS数据收集叶理。例如，从MLS数据中提取的生物量的预测变量与相应的TLS数据强烈（r（2）= 0.85）和线性（截距和斜率分别为0.03和0.94）相关。测试结果表明，MLS是适用于表征过程中的叶冠水平，所提出的方法已初步验证调查的个人冠属性。
Investigating individual crown attributes yields insight into forest canopy properties over large areas; however, effectively mapping single crowns is still an insufficiently exploited topic. Static terrestrial laser scanning (TLS) can render detailed descriptions of crowns and may serve as a substitute for in-field manual measurements. Preliminary work has also accumulated many TLS-crown reference relationships between TLS samplings and specific crown attributes. However, usage of this inventory technique suffers from the need to place TLS systems in multiple locations, which is a laborious process. Mobile terrestrial laser scanning (MLS) is a state-of-the-art survey technology that shows potential for overcoming this limitation because of its strength in efficiently mapping objects. This study attempts to put forward a new methodology with the potential to investigate crown-level properties, particularly during foliation. The rationale is to first explore correlations between MLS- and TLS-derived predictor variables. Given that the resultant MLS-TLS predictor relationships are strong and positive, the specific crown response variables, e.g., biomass and leaf area index, can then be retrieved with the corresponding TLS-crown reference relationships as a priori linkages. This new approach was evaluated based on MLS and TLS data collected during foliation. For instance, the predictor variable of biomass extracted from the MLS data is strongly (r(2) = 0.85) and linearly (intercept and slope of 0.03 and 0.94, respectively) associated with the corresponding TLS data. The test results indicate that MLS is applicable for characterizing the processes of foliation at the crown level, and the proposed methodology has been primarily validated for investigation of individual crown attributes.