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Retrieving the gap fraction, element clumping index, and leaf area index of individual trees using single-scan data from a terrestrial laser scanner

Authors :
Yanjun Su
Kaiguang Zhao
Guangcai Xu
Qinghua Guo
Shengli Tao
Yumei Li
Source :
ISPRS Journal of Photogrammetry and Remote Sensing. 130:308-316
Publication Year :
2017
Publisher :
Elsevier BV, 2017.

Abstract

Terrestrial laser scanning (TLS) is a promising tool for estimating leaf area index (LAI). However, very few studies have considered the effect of clumping index Ω in the calculation of “true” LAI. In this study, we developed a new point cloud slicing method based on different incident zenith angles θ and retrieved the gap fraction using multiple-return information to obtain more accurate “true” LAI estimations. In addition, we described a new Ω retrieval method based on the gap size analysis theory to correct the effect of foliage occlusion. Ground validation data were collected by destructively sampling 35 trees and measuring all their leaves. Results show that the TLS-based “true” LAI estimations based on a single TLS scan are strongly correlated with the destructively sampled LAI measurements (R2 = 0.76, RMSE = 0.47). Moreover, our Ω retrieval method can effectively correct the effect of foliage occlusion. Other factors, such as the slicing resolution, percentage of laser beams with multiple returns, and scanning distance, have little effect on the final LAI estimation.

Details

ISSN :
09242716
Volume :
130
Database :
OpenAIRE
Journal :
ISPRS Journal of Photogrammetry and Remote Sensing
Accession number :
edsair.doi...........f9bdf0369182aa202b9500dc5e4a13a8
Full Text :
https://doi.org/10.1016/j.isprsjprs.2017.06.006