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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
- 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.
- Subjects :
- Index (economics)
010504 meteorology & atmospheric sciences
Laser scanning
business.industry
0211 other engineering and technologies
Point cloud
Sampling (statistics)
02 engineering and technology
15. Life on land
Molar absorptivity
01 natural sciences
Slicing
Atomic and Molecular Physics, and Optics
Computer Science Applications
Optics
Computers in Earth Sciences
Leaf area index
business
Engineering (miscellaneous)
Zenith
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Remote sensing
Mathematics
Subjects
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