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Coastal Sediment Reflectance Analysis using Hyperspectral Remote Sensing

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Date Issued:
2014
Summary:
Quantitative assessment of substrate classification for sand properties is needed for land management and conservation. Establishing a sand spectral library is the first step in this process. Hyperspectal analysis allows for rapid, nondestructive data acquisition. This process uses an ASD spectrometer in a laboratory setting with an artificial light source to collect the spectra. Sand collected worldwide was also analyzed for grain size and composition. Development of spectral libraries of sand is an essential factor to facilitate analytical techniques to monitor coastal problems including erosion and beach nourishment. This in turn can affect various flora and fauna which requires specific substrate to grow, nest, or live. Preliminary results show that each sand sample has a unique signature that can be identified using hyperspectral data.
Title: Coastal Sediment Reflectance Analysis using Hyperspectral Remote Sensing.
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Name(s): Selch, Donna, author
Zhang, Caiyun
Graduate College
Oleinik, Anton E.
Type of Resource: text
Genre: Poster
Date Created: 2014
Date Issued: 2014
Publisher: Florida Atlantic University Digital Library
Place of Publication: Boca Raton, Florida
Physical Form: pdf
Extent: 1 p.
Language(s): English
Summary: Quantitative assessment of substrate classification for sand properties is needed for land management and conservation. Establishing a sand spectral library is the first step in this process. Hyperspectal analysis allows for rapid, nondestructive data acquisition. This process uses an ASD spectrometer in a laboratory setting with an artificial light source to collect the spectra. Sand collected worldwide was also analyzed for grain size and composition. Development of spectral libraries of sand is an essential factor to facilitate analytical techniques to monitor coastal problems including erosion and beach nourishment. This in turn can affect various flora and fauna which requires specific substrate to grow, nest, or live. Preliminary results show that each sand sample has a unique signature that can be identified using hyperspectral data.
Identifier: FA00005166 (IID)
Held by: Florida Atlantic University Libraries
Sublocation: FAU Digital Library
Persistent Link to This Record: http://purl.flvc.org/fau/fd/FA00005166
Restrictions on Access: Author retains copyright.
Owner Institution: FAU