You are here

FAU Collections » FAU Research Repository » FAU Student Research » FAU Graduate Student Research

Utilizing Hyperspectral Reflectance to Analyze Sand Composition

Download pdf | Full Screen View

Date Issued:
2015
Abstract/Description:
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 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.
Title: Utilizing Hyperspectral Reflectance to Analyze Sand Composition.
55 views
11 downloads
Name(s): Smith, Molly E.
Selch, Donna
Graduate College
Type of Resource: text
Genre: Poster
Date Created: 2015
Date Issued: 2015
Publisher: Florida Atlantic University
Place of Publication: Boca Raton, Fla.
Physical Form: application/pdf
Extent: 1 p.
Language(s): English
Abstract/Description: 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 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.
Identifier: FA00005913 (IID)
Collection: FAU Student Research Digital Collection
Note(s): The Sixth Annual Graduate Research Day was organized by Florida Atlantic University’s Graduate Student Association. Graduate students from FAU Colleges present abstracts of original research and posters in a competition for monetary prizes, awards, and recognition.
Held by: Florida Atlantic University Libraries
Sublocation: Digital Library
Persistent Link to This Record: http://purl.flvc.org/fau/fd/FA00005913
Use and Reproduction: Copyright © is held by the author with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Host Institution: FAU
Is Part of Series: Florida Atlantic University Digital Library Collections.