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Proceedings Paper

Influence of canopy biochemical and biophysical variables on reflectance spectra based on canopy radiative transfer model with adding noise
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Paper Abstract

To provide a reference for canopy parameters inversion, sensitivity analysis of plant canopy parameters based on remote sensing model is a prerequisite for the inversion. Because the local sensitivity analysis do not consider the coupling effect among the parameters, the EFAST (i.e., Extended Fourier Amplitude Sensitivity Test), a global sensitivity analysis, can be used not only for the analysis of each parameter, but also consider the interacted effect among each parameter. Based on PROSAIL model, the paper focused on the parameters’ sensitivity by using simulated data and EFAST method. The results showed that the EFAST considered not only the contribution of single parameter, but also the interactive effects among each parameter, and four parameters, leaf area index (LAI), leaf mesophyll structure (N), the controller factor of the average leaf slope (LIDFa) and soil moisture condition (psoil) had great effect on the canopy reflectance in the whole wavelength from 400 to 2500 nm than other canopy parameters, and the EFAST method enlarged the contribution of some parameters that had little effects.

Paper Details

Date Published: 4 September 2015
PDF: 8 pages
Proc. SPIE 9610, Remote Sensing and Modeling of Ecosystems for Sustainability XII, 96100F (4 September 2015); doi: 10.1117/12.2186727
Show Author Affiliations
Pudong Liu, East China Normal Univ. (China)
Institute of Remote Sensing and Digital Earth (China)
Colorado State Univ. (United States)
Runhe Shi, East China Normal Univ. (China)
Institute of Remote Sensing and Digital Earth (China)
Colorado State Univ. (United States)
Hong Wang, East China Normal Univ. (China)
Institute of Remote Sensing and Digital Earth (China)
Colorado State Univ. (United States)
Chaoshun Liu, East China Normal Univ. (China)
Institute of Remote Sensing and Digital Earth (China)
Colorado State Univ. (United States)
Zhibin Sun, Colorado State Univ. (United States)
Wei Gao, East China Normal Univ. (China)
Institute of Remote Sensing and Digital Earth (China)
Colorado State Univ. (United States)


Published in SPIE Proceedings Vol. 9610:
Remote Sensing and Modeling of Ecosystems for Sustainability XII
Wei Gao; Ni-Bin Chang; Jinnian Wang, Editor(s)

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