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Proceedings Paper

Modeling geophysical properties of the Algodones Dunes from field and laboratory hyperspectral goniometer measurements using GRIT and comparison with G-LiHT imagery
Author(s): Charles M. Bachmann; Brittany Ambeau; Carrie Griffo; Justin Harms; Emily Myers; Gregory Badura
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Paper Abstract

We measure and describe the angular dependence of field and laboratory hyperspectral reflectance measurements of sediments from the Algodones Dunes, CA using the Goniometer of the Rochester Institute of Technology (GRIT) and compare with NASA G-LiHT hyperspectral imagery. G-LiHT imagery was acquired concurrently during a joint field experiment in March 2015 conducted by NASA Goddard, South Dakota State University, University of Arizona, University of Lethbridge, and Rochester Institute of Technology (RIT). Radiative transfer models1 and our own observations10 demonstrate that the angular dependence observed in the bidirectional reflectance distribution (BRDF)1,2,3,4,5,6 is strongly influenced by factors such as density, grain size distribution, moisture content, and surface roughness.5,6,7,8,9 Hapke’s model applied to a uniform sediment predicts increasing reflectance as density increases, however, we have observed that multiple scattering and the presence of optically contrasting mineral fractions can lead to the opposite trend.9,10 The degree of multiple scattering is influenced by incident illumination zenith angle, which determines whether the Hapke prediction is observed or the opposite trend.10 To better match observations, modifications of the model are necessary.10 In this paper, we consider some initial work showing the relationship between NASA G-LiHT hyperspectral imagery and GRIT10 field and laboratory BRDF and GRIT-Two (GRIT-T)11 laboratory BRDF. We also discuss preliminary work using this data for retrieval of geophysical properties of the sediment such as density from multi-angular measurements.

Paper Details

Date Published: 19 September 2016
PDF: 13 pages
Proc. SPIE 9972, Earth Observing Systems XXI, 99720K (19 September 2016); doi: 10.1117/12.2238270
Show Author Affiliations
Charles M. Bachmann, Rochester Institute of Technology (United States)
Brittany Ambeau, Rochester Institute of Technology (United States)
Carrie Griffo, Rochester Institute of Technology (United States)
Justin Harms, Rochester Institute of Technology (United States)
Emily Myers, Rochester Institute of Technology (United States)
Gregory Badura, Rochester Institute of Technology (United States)


Published in SPIE Proceedings Vol. 9972:
Earth Observing Systems XXI
James J. Butler; Xiaoxiong (Jack) Xiong; Xingfa Gu, Editor(s)

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