Coastal characterization from hyperspectral imagery: An intercomparison of retrieval properties from three coast types

Bachmann, Charles M.; Nichols, C. Reid; Montes, Marcos J.; Fusina, R.A.; Li, Rongrong; Gross, C.; Fry, John C.; Parrish, Christopher; Sellars, Jon; White, Stephen; Jones, Christopher A.; Lee, Krista

doi:10.1109/igarss.2010.5650660

Cited by 6 publications

(6 citation statements)

References 6 publications

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“…There we considered an olivine sand collected by us in Hawaii. 12 The olivine sand also had a darker mineral fraction, however, that darker mineral fraction was a bound inclusion in the larger and translucent olivine grains. Unlike the Virginia Coast Reserve sands, the olivine sand dark mineral fraction was not free to move into the pore space because of being bound (crystalline inclusion) to the larger olivine sand particles.…”

Section: Brdf Field and Laboratory Data And Density Dependencementioning

confidence: 97%

Retrieval of sand density from hyperspectral BRDF

Bachmann

Abelev

Philpot

et al. 2014

Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XX

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In past work 1 , 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 2,4,5 , 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 3 . 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.

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Section: Brdf Field and Laboratory Data And Density Dependencementioning

confidence: 97%

Retrieval of sand density from hyperspectral BRDF

Bachmann

Abelev

Philpot

et al. 2014

Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XX

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“…We expect to see absorption features such as this in this sand reflectance measurement, which was taken at a Freshwater Beach in Queensland, Australia on May 20, 2009. For coastal applications, reliably identifying the type of sand or soil is one of several factors that play a critical role in the retrieval of geophysical properties of beaches, wetlands, and tidal flats [12,13]. In Fig.…”

Section: Resultsmentioning

confidence: 99%

“…The SWIR is an important spectral region for many application domains, such as geology [1], soils [6], and vegetation [1,3,7,8] because of the presence of a large number of spectral absorption features related to these application domains. For coastal applications, the VNIR is critical for retrieval of bathymetry [9][10][11] and properties of the water column [9,10], while both the VNIR and SWIR can play a critical role in land applications, such as retrieval of geophysical properties of beaches, wetlands, and tidal flats [12,13].…”

Section: Introductionmentioning

confidence: 99%

A dual-spectrometer approach to reflectance measurements under sub-optimal sky conditions

et al. 2012

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This paper presents a practical method for the development of spectral reflectance libraries under sub-optimal sky conditions. Although there are commercially available spectrometers which simultaneously measure both downwelling and upwelling radiance to mitigate the impact of sub-optimal sky conditions, these spectrometers only record in the visible and near infra-red. There are presently no commercially available spectrometers with this capability that can record the visible through shortwave infra-red. This paper presents a practical method of recording and processing data using coordinated measurements from two full-range spectrometers and discusses potential pitfalls and solutions required to achieve accurate reflectance spectra. Results demonstrate that high-quality spectral reflectance libraries can be developed with this approach. A. White, C. A. Jones, and K. Lee, "Coastal characterization from hyperspectral imagery: an intercomparison of retrieval properties from three coast types," in ©2012 Optical Society of America

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“…The NRL HITT software tool described in this report is one of several such thrusts being undertaken by NRL to develop and validate products for coastal characterization. In addition, to the trafficability maps made possible by retrieved bearing strength estimates (Bachmann, Nichols, et al, 2010f) from NRL HITT, we have also been involved for a number of years in efforts to develop other coastal products from hyperspectral imagery such as shallow water bathymetry Bachmann, Ainsworth et al, 2009), detailed land-cover mapping (Bachmann, Bettenhausen et al, 2003;Bachmann, Nichols, et al, 2010g), vegetation density (Bachmann, Ramsey, et al, 2007), as well as waterlines . We have also worked on the development of methods for detecting scene hazards and anomalies (Bachmann, Ainsworth, Fusina, 2010;Bachmann, Fry, et al, 2012a).…”

Section: Applications Guidancementioning

confidence: 99%