DocumentCode :
1098812
Title :
BRDF Analysis of Savanna Vegetation and Salt-Pan Samples
Author :
Georgiev, Georgi T. ; Gatebe, Charles K. ; Butler, James J. ; King, Michael D.
Author_Institution :
Sci. Syst. & Applic., Inc., Lanham, MD, USA
Volume :
47
Issue :
8
fYear :
2009
Firstpage :
2546
Lastpage :
2556
Abstract :
In this paper, laboratory-based bidirectional reflectance distribution function (BRDF) analysis of vegetation leaves, soil, and leaf-litter samples is presented. The leaf litter and soil samples, numbered 1 and 2, were obtained from a site located in the savanna biome of South Africa (Skukuza: 25.0deg S, 31.5deg E). A third soil sample, number 3, was obtained from Etosha Pan, Namibia (19.20deg S, 15.93deg E, altitude of 1100 m). In addition, BRDF of local fresh and dry leaves from tulip polar tree (Liriodendron tulipifera) and black locust tree (Robinia pseudoacacia) were studied. It is shown how the BRDF depends on the incident and scatter angles, sample size (i.e., crushed versus whole leaf), soil samples fraction size, sample status (i.e., fresh versus dry leaves), vegetation species (i.e., poplar versus locust), and the vegetation´s biochemical composition. As a demonstration of the application of the results of this paper, airborne BRDF measurements acquired with NASA´s Cloud Absorption Radiometer over the same general site where the soil and leaf-litter samples were obtained are compared to the laboratory results. Good agreement between laboratory and airborne-measured BRDF is reported.
Keywords :
airborne radar; remote sensing by radar; soil; vegetation; Aqua satellite instrument; BRDF analysis; Earth Observing System; Etosha Pan; Liriodendron tulipifera; NASA Cloud Absorption Radiometer; Namibia; Robinia pseudoacacia; Salt-Pan sample; Savanna Vegetation; Skukuza; South Africa; Terra satellite instrument; airborne-measurement; bidirectional reflectance distribution function; black locust tree; soil; tulip polar tree; vegetation biochemical composition; vegetation leaf-litter sample; Bidirectional reflectance distribution function (BRDF); metrology; optical instrumentation and measurements; remote sensing; vegetation;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2009.2021331
Filename :
5109658
Link To Document :
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