Effects of clumping on modelling LiDAR waveforms in forest canopies

Calders, K., Lewis, P., Disney, M., Verbesselt, J., Armston, J. and Herold, M. (2012). Effects of clumping on modelling LiDAR waveforms in forest canopies. In: 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2012). IGARSS 2012: 32nd IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany, (3391-3394). 22-27 July, 2012. doi:10.1109/IGARSS.2012.6350693


Author Calders, K.
Lewis, P.
Disney, M.
Verbesselt, J.
Armston, J.
Herold, M.
Title of paper Effects of clumping on modelling LiDAR waveforms in forest canopies
Conference name IGARSS 2012: 32nd IEEE International Geoscience and Remote Sensing Symposium
Conference location Munich, Germany
Conference dates 22-27 July, 2012
Proceedings title 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2012)
Journal name IEEE International Geoscience and Remote Sensing Symposium Proceedings
Place of Publication Piscataway, NJ, USA
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Publication Year 2012
Sub-type Fully published paper
DOI 10.1109/IGARSS.2012.6350693
Open Access Status
ISBN 9781467311601
9781467311588
ISSN 2153-6996
2153-7003
Start page 3391
End page 3394
Total pages 4
Language eng
Formatted Abstract/Summary
Empirical relations are frequently used to derive leaf area index (LAI). Such relations often make assumptions that make it hard to link the derived LAI to realistic trees and forest canopies. In previous work we developed a set of analytical expressions to describe LiDAR waveforms with only a limited number of assumptions based on radiative transfer. These expressions were a function of crown macro-structure and LAI. The expressions were successfully tested when applied on crown archetypes, but showed significant error when applied to more realistic crowns. In this study, we analyse the effect of clumping on inferring LAI from realistic trees. Despite the potential of the expressions to detect subtle changes in LAI, absolute inferred LAI values can be significantly off. However, the strong correlation between true and inferred LAI (R2 > 0.97) for the two test cases in this study, allows for calibration of the inferred LAI values.
Subjects 1900 Earth and Planetary Sciences
1706 Computer Science Applications
Keyword LiDAR waveforms
Radiative transfer
Canopy structure
LAI
Clumping
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

 
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