Current Search: FAU Graduate Student Research (x) » poster (x) » Selch, Donna (x)
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Title
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Coastal Sediment Reflectance Analysis using Hyperspectral Remote Sensing.
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Creator
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Selch, Donna, Zhang, Caiyun, Graduate College, Oleinik, Anton E.
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Abstract/Description
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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...
Show moreQuantitative 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.
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Date Issued
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2014
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PURL
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http://purl.flvc.org/fau/fd/FA00005166
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Format
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Document (PDF)
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Title
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Utilizing Hyperspectral Reflectance to Analyze Sand Composition.
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Creator
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Smith, Molly E., Selch, Donna, Graduate College
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Abstract/Description
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Spectral signatures quickly aid the analysis of sand composition because specific wavelengths correspond with distinct minerals. This provides objectivity to traditional microscopic methods, with the option to create a custom spectral library for Hyperspectral Remote Sensing HRS applications. Removal of salt as a precipitated solid from sea water is useful for clearer microscopic viewing of sand because certain grains are less likely to be misidentified as crystalized salt. Though removal of...
Show moreSpectral signatures quickly aid the analysis of sand composition because specific wavelengths correspond with distinct minerals. This provides objectivity to traditional microscopic methods, with the option to create a custom spectral library for Hyperspectral Remote Sensing HRS applications. Removal of salt as a precipitated solid from sea water is useful for clearer microscopic viewing of sand because certain grains are less likely to be misidentified as crystalized salt. Though removal of salts aids in qualitative visual identification, it is problematic for studies requiring spectral reflectance data to match real-life conditions. Spectroradiometric techniques were used to assess the effects of salt in spectral signatures of sand. Sand samples of mixed siliciclastic-carbonate composition were collected from 15 locations across the southeastern Florida coast. Spectral plots were generated from laboratory collected data with an ASD Spectroradiometer. Spectral data was collected before and after samples were prepared for microscopic study. Laboratory-prepared samples show negative slope at approximately 1500 nm and 2000 nm ranges on the generated plots. These wavelengths are indicative of grains having either predominately carbonate or siliciclastic compositions, which agrees with the microscopic analysis. Salts present in a sample affect the spectral signature, thus salt removal yields spectral plots not necessarily concurrent with plots generated from raw, unprepared samples. For studies utilizing airborne HRS data, the order of data collection and preparation is important. To ensure a more precise match between the spectral library and the hyperspectral imagery, spectral data must be collected before the sample is prepared for microscopic analysis.
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Date Issued
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2015
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PURL
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http://purl.flvc.org/fau/fd/FA00005913
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Format
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Document (PDF)