4.5 Article

Biomass estimates derived from sector subsampling of 360° spherical images

期刊

FORESTRY
卷 94, 期 4, 页码 565-575

出版社

OXFORD UNIV PRESS
DOI: 10.1093/forestry/cpab023

关键词

-

类别

资金

  1. Government of Newfoundland and Labrador
  2. Natural Sciences and Engineering Research Council of Canada [RGPIN04280]
  3. New Brunswick Innovation Foundation Research Assistantship Initiative [RAI2017-032]

向作者/读者索取更多资源

The study demonstrates that sector subsampling using spherical images in the field is an efficient and accurate alternative to traditional field-based methods, with results comparable to field data despite measuring far fewer trees. By applying Bruce's formula for standard error estimation, this subsampling approach can be generalized to any hierarchical dimension.
Efficient subsampling designs reduce forest inventory costs by focusing sampling efforts on more variable forest attributes. Sector subsampling is an efficient and accurate alternative to big basal area factor (big BAF) sampling to estimate the mean basal area to biomass ratio. In this study, we apply sector subsampling of spherical images to estimate aboveground biomass and compare our image-based estimates with field data collected from three early spacing trials on western Newfoundland Island in eastern Canada. The results show that sector subsampling of spherical images produced increased sampling errors of 0.3-3.4 per cent with only about 60 trees measured across 30 spherical images compared with about 4000 trees measured in the field. Photo-derived basal area was underestimated because of occluded trees; however, we implemented an additional level of subsampling, collecting field-based basal area counts, to correct for bias due to occluded trees. We applied Bruce's formula for standard error estimation to our three-level hierarchical subsampling scheme and showed that Bruce's formula is generalizable to any dimension of hierarchical subsampling. Spherical images are easily and quickly captured in the field using a consumer-grade 360 degrees camera and sector subsampling, including all individual tree measurements, were obtained using a custom-developed python software package. The system is an efficient and accurate photo-based alternative to field-based big BAF subsampling.

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

4.5
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