Quantifying the impact of woody material on leaf area index estimation from hemispherical photography using 3D canopy simulations

Woodgate, W, Armston, J, Disney, M, Jones, S, Suarez, L, Hill, M, Wilkes, P and Soto-Berelov, M 2016, 'Quantifying the impact of woody material on leaf area index estimation from hemispherical photography using 3D canopy simulations', Agricultural and Forest Meteorology, vol. 226227, pp. 1-12.

Document type: Journal Article
Collection: Journal Articles

Title Quantifying the impact of woody material on leaf area index estimation from hemispherical photography using 3D canopy simulations
Author(s) Woodgate, W
Armston, J
Disney, M
Jones, S
Suarez, L
Hill, M
Wilkes, P
Soto-Berelov, M
Year 2016
Journal name Agricultural and Forest Meteorology
Volume number 226227
Start page 1
End page 12
Total pages 12
Publisher Elsevier
Abstract Estimating the proportion of woody-to-total plant material ‘α’ is an essential step to convert Plant Area Index ‘PAI’ estimates into Leaf Area Index ‘LAI’. α has also been shown to have a significant impact on the passive optical remote sensing signal for retrieval of biophysical parameters in forests, woodlands, and savannas. However, benchmarked indirect α retrieval methods are lacking and thus it is common for this pivotal correction to be ignored. In this paper we validate an α retrieval method using a 3D radiative transfer simulation framework, enabling the retrieval method to be benchmarked against a known and precise model truth. The 3D framework consists of a representative and highly detailed 3D explicit Eucalypt forest reconstructed from field measurements. The 3D structure is coupled with a 3D scattering model to enable simulation of remote sensing instruments. The retrieval method utilises classified hemispherical photography ‘HP’, but is applicable to all ground-based optical instruments that can separate leaf and woody elements. The method is applicable to evergreen forests and thus independent of the estimation of PAI or LAI. The unknown degree of mutual shading or occlusion of leaf and woody elements was traditionally a key impediment to the operational use of this method and was therefore closely examined. The indirect α method utilising classified HP imagery agreed on average to within 0.01 α of the reference (αref = 0.37). In addition, the method demonstrated robustness to a range of LAI, stem density, and stem distribution values, matching to within ±0.05 α of the reference. Angular dependence on indirect α retrieval was also found; where the entire HP image (180° FOV) was needed to produce the most accurate estimate. Conversely, the classified narrow view zenith angle range around 55−60° zenith also provided an α estimate matching the reference. At this narrow zenith angle the method is insensitive to leaf angle distribution. As such, careful consideration of zenith angle range utilised from the instrument is recommended. The results demonstrate the method’s applicability for accurate indirect estimation of α in single-storey forest types. The simple and efficient method can be used to convert estimates of PAI into LAI from a variety of optical ground-based instruments. Quantitative α estimates can and should be used to aid interpretation of the remote sensing signal from satellite imagery, which has been shown to be sensitive to the proportion and spatial distribution of woody canopy materials.
Subject Photogrammetry and Remote Sensing
Keyword(s) Alpha
Leaf area index
Plant area index
Projection function
Woody correction
DOI - identifier 10.1016/j.agrformet.2016.05.009
Copyright notice © 2016 Elsevier
ISSN 0168-1923
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 24 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 8 times in Scopus Article | Citations
Altmetric details:
Access Statistics: 41 Abstract Views  -  Detailed Statistics
Created: Wed, 14 Dec 2016, 10:13:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us