Advanced search
Add to list

Effects of clumping on modelling LiDAR waveforms in forest canopies

Author
Organization
Abstract
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 (R-2 > 0.97) for the two test cases in this study, allows for calibration of the inferred LAI values.
Keywords
LiDAR waveforms, radiative transfer, canopy structure, LAI, clumping

Citation

Please use this url to cite or link to this publication:

MLA
Calders, Kim et al. “Effects of Clumping on Modelling LiDAR Waveforms in Forest Canopies.” IEEE International Symposium on Geoscience and Remote Sensing IGARSS. New York, NY, USA: IEEE, 2012. 3391–3394. Print.
APA
Calders, K., Lewis, P., Disney, M., Verbesselt, J., Armston, J., & Herold, M. (2012). Effects of clumping on modelling LiDAR waveforms in forest canopies. IEEE International Symposium on Geoscience and Remote Sensing IGARSS (pp. 3391–3394). Presented at the 2012 IEEE International Geoscience and Remote Sensing symposium (IGARSS), New York, NY, USA: IEEE.
Chicago author-date
Calders, Kim, P Lewis, M Disney, J Verbesselt, J Armston, and M Herold. 2012. “Effects of Clumping on Modelling LiDAR Waveforms in Forest Canopies.” In IEEE International Symposium on Geoscience and Remote Sensing IGARSS, 3391–3394. New York, NY, USA: IEEE.
Chicago author-date (all authors)
Calders, Kim, P Lewis, M Disney, J Verbesselt, J Armston, and M Herold. 2012. “Effects of Clumping on Modelling LiDAR Waveforms in Forest Canopies.” In IEEE International Symposium on Geoscience and Remote Sensing IGARSS, 3391–3394. New York, NY, USA: IEEE.
Vancouver
1.
Calders K, Lewis P, Disney M, Verbesselt J, Armston J, Herold M. Effects of clumping on modelling LiDAR waveforms in forest canopies. IEEE International Symposium on Geoscience and Remote Sensing IGARSS. New York, NY, USA: IEEE; 2012. p. 3391–4.
IEEE
[1]
K. Calders, P. Lewis, M. Disney, J. Verbesselt, J. Armston, and M. Herold, “Effects of clumping on modelling LiDAR waveforms in forest canopies,” in IEEE International Symposium on Geoscience and Remote Sensing IGARSS, Munich, Germany, 2012, pp. 3391–3394.
@inproceedings{8544409,
  abstract     = {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 (R-2 > 0.97) for the two test cases in this study, allows for calibration of the inferred LAI values.},
  author       = {Calders, Kim and Lewis, P and Disney, M and Verbesselt, J and Armston, J and Herold, M},
  booktitle    = {IEEE International Symposium on Geoscience and Remote Sensing IGARSS},
  isbn         = {9781467311595},
  issn         = {2153-6996},
  keywords     = {LiDAR waveforms,radiative transfer,canopy structure,LAI,clumping},
  language     = {eng},
  location     = {Munich, Germany},
  pages        = {3391--3394},
  publisher    = {IEEE},
  title        = {Effects of clumping on modelling LiDAR waveforms in forest canopies},
  url          = {http://dx.doi.org/10.1109/igarss.2012.6350693},
  year         = {2012},
}

Altmetric
View in Altmetric
Web of Science
Times cited: