Retrieval of sand density from hyperspectral BRDF

Charles M. Bachmann; Andrei Abelev; William Philpot; Katarina Z. Doctor; Marcos J. Montes; Robert Fusina; Rong-Rong Li; Elena van Roggen

doi:10.1117/12.2050682

13 June 2014 Retrieval of sand density from hyperspectral BRDF

Charles M. Bachmann, Andrei Abelev, William Philpot, Katarina Z. Doctor, Marcos J. Montes, Robert Fusina, Rong-Rong Li, Elena van Roggen

Author Affiliations +

Proceedings Volume 9088, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XX; 908807 (2014) https://doi.org/10.1117/12.2050682
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

Abstract

In past work, we have shown that density effects in hyperspectral bi-directional reflectance function (BRDF) data are consistent in laboratory goniometer data, field goniometer measurements with the NRL Goniometer for Portable Hyperspectral Earth Reflectance (GOPHER), and airborne CASI-1500 hyperspectral imagery. Density effects in granular materials have been described in radiative transfer models and are known, for example, to influence both the overall level of reflectance as well as the size of specific characteristics such as the width of the opposition effect in the BRDF. However, in mineralogically complex sands, such as coastal sands, the relative change in reflectance with density depends on the composite nature of the sand. This paper examines the use of laboratory and field hyperspectral goniometer data and their utility for retrieving sand density from airborne hyperspectral imagery. We focus on limitations of current models to describe density effects in BRDF data acquired in the field, laboratory setting, and from airborne systems.

Citation Download Citation

Charles M. Bachmann, Andrei Abelev, William Philpot, Katarina Z. Doctor, Marcos J. Montes, Robert Fusina, Rong-Rong Li, and Elena van Roggen "Retrieval of sand density from hyperspectral BRDF", Proc. SPIE 9088, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XX, 908807 (13 June 2014); https://doi.org/10.1117/12.2050682

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