Comparison of two forest types using adeos 1-polder data over west coast of India |
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| Authors: | Anjum Mahtab V N Sridhar Ranendu Ghosh |
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| Institution: | (1) Faculty of Forest Resources Management, University of British Columbia, 2424 Main Mall, Vancouver, BC, V6T 1Z4, Canada;(2) School of Natural Resources, University of Nebraska Lincoln, 303 Hardin Hall, 3310 Holdrege, Lincoln, NE 68583-0973, USA;(3) Joint Center for Earth Systems Technology, University of Maryland, Baltimore County, USA;(4) Code 614.4, Goddard Space Flight Center, Greenbelt, MD 20771, USA;(5) Faculty of Land and Food Systems, University of British Columbia, 2357 Main Mall, Vancouver, BC, V6T 1Z4, Canada |
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| Abstract: | Parametric kernel-based models for Bi-directional Reflectance Distribution Function (BRDF) of vegetated land surfaces attempt
to describe the BRDF as a linear superposition of a set of kernels describing basic angular shapes. The kernels and associated
model coefficients are derived as approximations to the underlying theories of radiative transfer as well as geometric-optical
scattering within vegetation canopies. In the present study, five kernels viz. Ross-Thick, Li-Sparse, Ross-Thin, Li-Dense
and Roujean geometric-optical (GO) kernels along with a purely empirical model were examined for their suitability in describing
the angular characteristics of two forest types (semi-evergreen and deciduous) during November 1996-March 1997 using ADEOS-1
POLDER data. The statistically significant kernels and their combinations with respect to red and NIR (near infra-red) wavelengths
were determined using correlation analysis. Atmospherically corrected POLDER measured reflectances at red and NIR wavelengths
were regressed with different kernels and their combinations. It is found that the best fitting volume and GO kernel combinations
depend on forest type, wavelength and date. |
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