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Study the Linkage of Allometric Scaling and Resource Limitation Model of Vegetation Structure with Stochastic Radiative Transfer Theory
Liang
Xu, Boston University, bireme@gmail.com
(Presenter)
Yuri
Knyazikhin, Boston University, jknjazi@bu.edu
Ranga
Babu
Myneni, Boston University, rmyneni@bu.edu
Vegetation structure is one of the key variables of the terrestrial biosphere, affecting its biogeochemical and biophysical functioning. Based upon the fact that the return signals received by remote sensors are the reflections of the underneath canopy structure, reconstruction of the three dimensional canopy is possible through the use of stochastic radiative transfer model and appropriate allometric relationships if the information is sufficient. To obtain the desired structural parameters of vegetation, we investigate the following: (a) the correlations and independent information existing in active (Lidar) and passive (spectral and multi-angle) remote sensing data; (b) the development of a synergistic algorithm based on stochastic geometry to retrieve frequency distributions of tree height and crown size besides retrieval of mean characteristics of vegetation structure (i.e., stem density, tree height, crown shape and size, within-crown foliage density or leaf area index) by exploiting synergistically the information content of lidar, multiangle and hyperspectral remote sensing data; (c) the extension of pair correlation function in forms of allometric scaling to represent dispersion in vegetation canopies, and therefore imbuing retrievals with explanatory power and building direct linkages to dynamics of resource allocation within canopy.
Presentation Type: Poster
Session: Poster Session 1-A
(Tue 11:00 AM)
Associated Project(s):
Poster Location ID: 15
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