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Proceedings Paper

Linking goniometer measurements to hyperspectral and multisensor imagery for retrieval of beach properties and coastal characterization
Author(s): Charles M. Bachmann; Deric Gray; Andrei Abelev; William Philpot; Marcos J. Montes; Robert Fusina; Joseph Musser; Rong-Rong Li; Michael Vermillion; Geoffrey Smith; Daniel Korwan; Charlotte Snow; W. David Miller; Joan Gardner; Mark Sletten; Georgi Georgiev; Barry Truitt; Marcus Killmon; Jon Sellars; Jason Woolard; Christopher Parrish; Art Schwarzscild
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Paper Abstract

In June 2011, a multi-sensor airborne remote sensing campaign was flown at the Virginia Coast Reserve Long Term Ecological Research site with coordinated ground and water calibration and validation (cal/val) measurements. Remote sensing imagery acquired during the ten day exercise included hyperspectral imagery (CASI-1500), topographic LiDAR, and thermal infra-red imagery, all simultaneously from the same aircraft. Airborne synthetic aperture radar (SAR) data acquisition for a smaller subset of sites occurred in September 2011 (VCR'11). Focus areas for VCR'11 were properties of beaches and tidal flats and barrier island vegetation and, in the water column, shallow water bathymetry. On land, cal/val emphasized tidal flat and beach grain size distributions, density, moisture content, and other geotechnical properties such as shear and bearing strength (dynamic deflection modulus), which were related to hyperspectral BRDF measurements taken with the new NRL Goniometer for Outdoor Portable Hyperspectral Earth Reflectance (GOPHER). This builds on our earlier work at this site in 2007 related to beach properties and shallow water bathymetry. A priority for VCR'11 was to collect and model relationships between hyperspectral imagery, acquired from the aircraft at a variety of different phase angles, and geotechnical properties of beaches and tidal flats. One aspect of this effort was a demonstration that sand density differences are observable and consistent in reflectance spectra from GOPHER data, in CASI hyperspectral imagery, as well as in hyperspectral goniometer measurements conducted in our laboratory after VCR'11.

Paper Details

Date Published: 9 May 2012
PDF: 9 pages
Proc. SPIE 8390, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, 83901D (9 May 2012); doi: 10.1117/12.918464
Show Author Affiliations
Charles M. Bachmann, U.S. Naval Research Lab. (United States)
Deric Gray, U.S. Naval Research Lab. (United States)
Andrei Abelev, U.S. Naval Research Lab. (United States)
William Philpot, Cornell Univ. (United States)
Marcos J. Montes, U.S. Naval Research Lab. (United States)
Robert Fusina, U.S. Naval Research Lab. (United States)
Joseph Musser, Stephen F. Austin State Univ. (United States)
Rong-Rong Li, U.S. Naval Research Lab. (United States)
Michael Vermillion, U.S. Naval Research Lab. (United States)
Geoffrey Smith, U.S. Naval Research Lab. (United States)
Daniel Korwan, U.S. Naval Research Lab. (United States)
Charlotte Snow, U.S. Naval Research Lab. (United States)
W. David Miller, CPI (United States)
Joan Gardner, U.S. Naval Research Lab. (United States)
Mark Sletten, U.S. Naval Research Lab. (United States)
Georgi Georgiev, Sigma Space Corp. (United States)
Barry Truitt, The Nature Conservancy (United States)
Marcus Killmon, The Nature Conservancy (United States)
Jon Sellars, National Oceanic and Atmospheric Administration (United States)
Jason Woolard, National Oceanic and Atmospheric Administration (United States)
Christopher Parrish, National Oceanic and Atmospheric Administration (United States)
Art Schwarzscild, Univ. of Virginia (United States)


Published in SPIE Proceedings Vol. 8390:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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