4.7 Article

Optimizing the airborne laser scanning estimation of basal area larger than mean (BALM): An indicator of cohort balance in forests

期刊

ECOLOGICAL INDICATORS
卷 142, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.ecolind.2022.109162

关键词

Forest structure; LiDAR; Plot size effect; Sample size effect; Point density effect; Airborne laser scanning

资金

  1. Finnish Society of Forest Science (Suomen Metsatieteellinen Seura)
  2. PostDocs in Companies (PoDoCo) program of the Foundation for Economic Education [210018]
  3. Finnish Flagship Programme of the Academy of Finland [337127]

向作者/读者索取更多资源

Through the study, it was found that for forest structure assessment, a concentric circular plot size of approximately 11-14 meters radius and a sample size of approximately 50-80 trees may be the optimal choice for reliable BALM estimation. Additionally, the ALS point density does not have a significant impact on the relationship between BALM estimates and various ALS metrics as long as the point density is at least 5 points per square meter.
Airborne laser scanning (ALS) assisted basal area larger than mean (BALM) estimation measures the cohort balance in forests and provides adequate opportunities to describe forest structure. However, a problem still exists that how the plot size, sample size (number of trees), and ALS point density affect the BALM estimation. We tackled this question by using both field and ALS data from a typical managed boreal forest area in Finland. Various concentric circular plots (1-15 m radii) were simulated within the actual field plots (squared) and the optimal plot size and sample size were selected by observing changes in the absolute correlation between BALM estimates and various ALS metrics. Instability in the correlation was found at the smaller concentric circular plots (1-5 m radii) and sample sizes (less than 6 trees) but as the plot size and sample size increased, the correlation followed a convex curve. The maximum correlation was found between a concentric circular plot size 11-14 m radii (380-615 m2 area) and sample size 50-80 trees which could be the optimal plot size and sample size for a reliable BALM estimation. With regards to the ALS point density, no major effects were observed on the relationship between BALM estimates and various ALS metrics unless the point density is less than at least 5 points m 2. The point density of the current nationwide ALS survey is matching the minimum point density requirement obtained in this study and thus it is suitable for a reliable forest structural assessment.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据