气候变化领域集成服务门户(CCPortal): Quantifying tropical forest structure through terrestrial and UAV laser scanning fusion in Australian rainforests

CCPortal

DOI	10.1016/j.rse.2022.112912
	Quantifying tropical forest structure through terrestrial and UAV laser scanning fusion in Australian rainforests
	Terryn, Louise; Calders, Kim; Bartholomeus, Harm; Bartolo, Renee E.; Brede, Benjamin; D'hont, Barbara; Disney, Mathias; Herold, Martin; Lau, Alvaro; Shenkin, Alexander; Whiteside, Timothy G.; Wilkes, Phil; Verbeeck, Hans
发表日期	2022
ISSN	0034-4257
EISSN	1879-0704
卷号	271
英文摘要	Accurately quantifying tree and forest structure is important for monitoring and understanding terrestrial ecosystem functioning in a changing climate. The emergence of laser scanning, such as Terrestrial Laser Scanning (TLS) and Unoccupied Aerial Vehicle Laser Scanning (UAV-LS), has advanced accurate and detailed forest structural measurements. TLS generally provides very accurate measurements on the plot-scale (a few ha), whereas UAV-LS provides comparable measurements on the landscape-scale ( 10 ha). Despite the pivotal role dense tropical forests play in our climate, the strengths and limitations of TLS and UAV-LS to accurately measure structural metrics in these forests remain largely unexplored. Here, we propose to combine TLS and UAV-LS data from dense tropical forest plots to analyse how this fusion can further advance 3D structural mapping of structurally complex forests. We compared stand (vertical point distribution profiles) and tree level metrics from TLS, UAV-LS as well as their fused point cloud. The tree level metrics included the diameter at breast height (DBH), tree height (H), crown projection area (CPA), and crown volume (CV). Furthermore, we evaluated the impact of point density and number of returns for UAV-LS data acquisition. DBH measurements from TLS and UAV-LS were compared to census data. The TLS and UAV-LS based H, CPA and CV measurements were compared to those obtained from the fused point cloud. Our results for two tropical rainforest plots in Australia demonstrate that TLS can measure H, CPA and CV with an accuracy (RMSE) of 0.30 m (H-average =27.32 m), 3.06 m(2) (CPAaverage =66.74 m(2)), and 29.63 m(3) (CVaverage =318.81 m(3)) respectively. UAV-LS measures H, CPA and CV with an accuracy (RMSE) of <0.40 m, <5.50 m(2), and <30.33 m(3) respectively. However, in dense tropical forests single flight UAV-LS is unable to sample the tree stems sufficiently for DBH measurement due to a limited penetration of the canopy. TLS can determine DBH with an accuracy (RMSE) of 5.04 cm, (DBHaverage =45.08 cm), whereas UAV-LS can not. We show that in dense tropical forests stand-alone TLS is able to measure macroscopic structural tree metrics on plot-scale. We also show that UAV-LS can be used to quickly measure H, CPA, and CV of canopy trees on the landscape-scale with comparable accuracy to TLS. Hence, the fusion of TLS and UAV-LS, which can be time consuming and expensive, is not required for these purposes. However, TLS and UAV-LS fusion opens up new avenues to improve stand-alone UAV-LS structural measurements at the landscape scale by applying TLS as a local calibration tool.
英文关键词	Terrestrial laser scanning; Forest structure; Data fusion; Unoccupied aerial vehicle; Tropical forests
语种	英语
WOS研究方向	Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000759752300002
来源期刊	REMOTE SENSING OF ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/281084
作者单位	Ghent University; Wageningen University & Research; University of London; University College London; University of London; University College London; University of Oxford
推荐引用方式 GB/T 7714	Terryn, Louise,Calders, Kim,Bartholomeus, Harm,et al. Quantifying tropical forest structure through terrestrial and UAV laser scanning fusion in Australian rainforests[J],2022,271.
APA	Terryn, Louise.,Calders, Kim.,Bartholomeus, Harm.,Bartolo, Renee E..,Brede, Benjamin.,...&Verbeeck, Hans.(2022).Quantifying tropical forest structure through terrestrial and UAV laser scanning fusion in Australian rainforests.REMOTE SENSING OF ENVIRONMENT,271.
MLA	Terryn, Louise,et al."Quantifying tropical forest structure through terrestrial and UAV laser scanning fusion in Australian rainforests".REMOTE SENSING OF ENVIRONMENT 271(2022).