Using airborne LiDAR to determine total sapwood area for estimating stand transpiration in plantations
Using airborne LiDAR to determine total sapwood area for estimating stand transpiration in plantations
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DOI：
10.1002/hyp.10482
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发表时间：
2015-11
影响因子：
3.2
通讯作者：
Takami Saito;Kazukiyo Yamamoto;Misako Komatsu;H. Matsuda;Shuji Yunohara;H. Komatsu;M. Tateishi;Yang Xiang;K. Otsuki;T. Kumagai
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文献类型：
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作者：
Takami Saito;Kazukiyo Yamamoto;Misako Komatsu;H. Matsuda;Shuji Yunohara;H. Komatsu;M. Tateishi;Yang Xiang;K. Otsuki;T. Kumagai
这项研究提供了一个前所未有的机会，使用小足迹光探测和测距技术，以最少的现场劳动力来估计整个集水区（Ascat/Ag）的总边材面积。42年的日本柏树（Hinoki; Chamaparis obtusa Sieb.）et Zucc.）和柳杉（Sugi; Cryptomeria japonica D.）Don）在2.98公顷的实验集水区种植了植被。实地观察确定了所有树木的胸径（DBH），并产生DBH和树边材面积（Astre）之间的关系。Astre的总和产生了Ascat/Ag的实际值。对于光探测和测距数据分析，局部最大值滤波显示树顶高度（H）和树数（N），遗漏误差为9%。提出了一种基于树顶高度和冠层粗糙度的树种树顶识别方法。测试了四种方法。方法A-C中，H直接或通过DBH转化为Astre，然后Astre的总和产生Ascat/Ag。H-Astre或H-DBH关系与劳动密集型测量无关，并且由于N较小，Ascat/Ag被低估至实际值的85%。另一方面，在方法D中，现成的林分密度管理图（SDMD）高估了平均胸径。然而，高估的平均Astre和低估的N的产品几乎与实际的Ascat/Ag相同。Hinoki和Sugi的估计值分别为真实Ascat/Ag的84%和95%，如果敏感性分析表明SDMD适合该地点，则前者将更加精确。版权所有© 2015约翰威利父子有限公司.
This study offers an unprecedented opportunity to estimate total sapwood area over an entire catchment (Ascat/Ag) using small‐footprint light detection and ranging technology with a minimal amount of labour in field. Forty‐two‐year‐old plantations of Japanese cypress (Hinoki; Chamaecyparis obtusa Sieb. et Zucc.) and Japanese cedar (Sugi; Cryptomeria japonica D. Don) vegetated the 2.98 ha experimental catchment. Field observations identified diameter at breast height (DBH) of all trees and produced the relationship between DBH and tree sapwood area (Astre). The sum of Astre generated actual values of Ascat/Ag. For light detection and ranging data analyses, local maximum filtering revealed height of tree apices (H) and tree number (N) with 9% omission errors. A novel process was developed to identify tree species by their apices based on height of the apices and canopy roughness. Four methods were tested. In Methods A–C, H was converted to Astre directly or via DBH, then, the sum of Astre created Ascat/Ag. H–Astre or H–DBH relationships were varied irrespective of labour‐intensive measurements, and Ascat/Ag was underestimated up to 85% of actual value because of the smaller N. On the other hand, in Method D, ready‐made stand density management diagrams (SDMDs) overestimated mean DBH. However, a product of overestimated mean Astre and the underestimated N was almost identical to the actual Ascat/Ag. The estimates were 84% and 95% of the true Ascat/Ag in Hinoki and Sugi, respectively, and the former will be more precise if the SDMD is suitable for the site as indicated through sensitivity analysis. Copyright © 2015 John Wiley & Sons, Ltd.