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Journal of Applied Remote Sensing

Modified gap fraction model of individual trees for estimating leaf area using terrestrial laser scanner
Author(s): Donghui Xie; Yan Wang; Ronghai Hu; Yiming Chen; Guangjian Yan; Wuming Zhang; Peijuan Wang
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Paper Abstract

Terrestrial laser scanners (TLS) have demonstrated great potential in estimating structural attributes of forest canopy, such as leaf area index (LAI). However, the inversion accuracy of LAI is highly dependent on the measurement configuration of TLS and spatial characteristics of the scanned tree. Therefore, a modified gap fraction model integrating the path length distribution is developed to improve the accuracy of retrieved single-tree leaf area (LA) by considering the shape of a single-tree crown. The sensitivity of TLS measurement configurations on the accuracy of the retrieved LA is also discussed by using the modified gap fraction model based on several groups of simulated and field-measured point clouds. We conclude that (1) the modified gap fraction model has the potential to retrieve LA of an individual tree and (2) scanning distance has the enhanced impact on the accuracy of the retrieved LA than scanning step. A small scanning step for broadleaf trees reduces the scanning time, the storage volume, and postprocessing work in the condition of ensuring the accuracy of the retrieved LA. This work can benefit the design of an optimal survey configuration for the field campaign.

Paper Details

Date Published: 24 August 2017
PDF: 16 pages
J. Appl. Rem. Sens. 11(3) 035012 doi: 10.1117/1.JRS.11.035012
Published in: Journal of Applied Remote Sensing Volume 11, Issue 3
Show Author Affiliations
Donghui Xie, Beijing Normal Univ. (China)
Yan Wang, Beijing Normal Univ. (China)
Ronghai Hu, Beijing Normal Univ. (China)
Yiming Chen, Beijing Normal Univ. (China)
Guangjian Yan, Beijing Normal Univ. (China)
Wuming Zhang, Beijing Normal Univ. (China)
Peijuan Wang, Chinese Academy of Meteorological Sciences (China)

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