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Proceedings Article

Linking goniometer measurements to hyperspectral and multisensor imagery for retrieval of beach properties and coastal characterization

[+] Author Affiliations
Charles M. Bachmann, Deric Gray, Andrei Abelev, Marcos J. Montes, Robert Fusina, Rong-Rong Li, Michael Vermillion, Geoffrey Smith, Daniel Korwan, Charlotte Snow, Joan Gardner, Mark Sletten

U.S. Naval Research Lab. (United States)

William Philpot

Cornell Univ. (United States)

Joseph Musser

Stephen F. Austin State Univ. (United States)

W. David Miller

CPI (United States)

Georgi Georgiev

Sigma Space Corp. (United States)

Barry Truitt, Marcus Killmon

The Nature Conservancy (United States)

Jon Sellars, Jason Woolard, Christopher Parrish

National Oceanic and Atmospheric Administration (United States)

Art Schwarzscild

Univ. of Virginia (United States)

Proc. SPIE 8390, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, 83901D (May 8, 2012); doi:10.1117/12.918464
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From Conference Volume 8390

  • Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII
  • Sylvia S. Shen; Paul E. Lewis
  • Baltimore, Maryland, USA | April 23, 2012

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. © (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation

Charles M. Bachmann ; Deric Gray ; Andrei Abelev ; William Philpot ; Marcos J. Montes, et al.
" Linking goniometer measurements to hyperspectral and multisensor imagery for retrieval of beach properties and coastal characterization ", Proc. SPIE 8390, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, 83901D (May 8, 2012); doi:10.1117/12.918464; http://dx.doi.org/10.1117/12.918464


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