Mapping Layers of Clay in a Vertical Geological Surface Using Hyperspectral Imagery: Variability in Parameters of SWIR Absorption Features under Different Conditions of Illumination

Hyperspectral imagery of a vertical mine face acquired from a field-based platform is used to evaluate the effects of different conditions of illumination on absorption feature parameters wavelength position, depth and width. Imagery was acquired at different times of the day under direct solar illu...

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Main Authors: Richard J. Murphy, Sven Schneider, Sildomar T. Monteiro
Format: Article
Language:English
Published: MDPI AG 2014-09-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/6/9/9104
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spelling doaj-e3f8c617e0d8484290be72832cb647722020-11-24T20:49:00ZengMDPI AGRemote Sensing2072-42922014-09-01699104912910.3390/rs6099104rs6099104Mapping Layers of Clay in a Vertical Geological Surface Using Hyperspectral Imagery: Variability in Parameters of SWIR Absorption Features under Different Conditions of IlluminationRichard J. Murphy0Sven Schneider1Sildomar T. Monteiro2Australian Centre for Field Robotics, Department of Aerospace, Mechanical and Mechatronic Engineering, University of Sydney, The Rose Street Building J04, NSW 2010, AustraliaAustralian Centre for Field Robotics, Department of Aerospace, Mechanical and Mechatronic Engineering, University of Sydney, The Rose Street Building J04, NSW 2010, AustraliaCenter for Imaging Science and Department of Electrical and Microelectronic Engineering, Rochester Institute of Technology, 79 Lomb Memorial Drive, Rochester, NY 14623, USAHyperspectral imagery of a vertical mine face acquired from a field-based platform is used to evaluate the effects of different conditions of illumination on absorption feature parameters wavelength position, depth and width. Imagery was acquired at different times of the day under direct solar illumination and under diffuse illumination imposed by cloud cover. Imagery acquired under direct solar illumination did not show large amounts of variability in any absorption feature parameter; however, imagery acquired under cloud caused changes in absorption feature parameters. These included the introduction of a spurious absorption feature at wavelengths > 2250 nm and a shifting of the wavelength position of specific clay absorption features to longer or shorter wavelengths. Absorption feature depth increased. The spatial patterns of clay absorption in imagery acquired under similar conditions of direct illumination were preserved but not in imagery acquired under cloud. Kaolinite, ferruginous smectite and nontronite were identified and mapped on the mine face. Results were validated by comparing them with predictions from x-ray diffraction and laboratory hyperspectral imagery of samples acquired from the mine face. These results have implications for the collection of hyperspectral data from field-based platforms.http://www.mdpi.com/2072-4292/6/9/9104Hyperspectralclay mineralsabsorption featuremine-faceremote sensing
collection DOAJ
language English
format Article
sources DOAJ
author Richard J. Murphy
Sven Schneider
Sildomar T. Monteiro
spellingShingle Richard J. Murphy
Sven Schneider
Sildomar T. Monteiro
Mapping Layers of Clay in a Vertical Geological Surface Using Hyperspectral Imagery: Variability in Parameters of SWIR Absorption Features under Different Conditions of Illumination
Remote Sensing
Hyperspectral
clay minerals
absorption feature
mine-face
remote sensing
author_facet Richard J. Murphy
Sven Schneider
Sildomar T. Monteiro
author_sort Richard J. Murphy
title Mapping Layers of Clay in a Vertical Geological Surface Using Hyperspectral Imagery: Variability in Parameters of SWIR Absorption Features under Different Conditions of Illumination
title_short Mapping Layers of Clay in a Vertical Geological Surface Using Hyperspectral Imagery: Variability in Parameters of SWIR Absorption Features under Different Conditions of Illumination
title_full Mapping Layers of Clay in a Vertical Geological Surface Using Hyperspectral Imagery: Variability in Parameters of SWIR Absorption Features under Different Conditions of Illumination
title_fullStr Mapping Layers of Clay in a Vertical Geological Surface Using Hyperspectral Imagery: Variability in Parameters of SWIR Absorption Features under Different Conditions of Illumination
title_full_unstemmed Mapping Layers of Clay in a Vertical Geological Surface Using Hyperspectral Imagery: Variability in Parameters of SWIR Absorption Features under Different Conditions of Illumination
title_sort mapping layers of clay in a vertical geological surface using hyperspectral imagery: variability in parameters of swir absorption features under different conditions of illumination
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2014-09-01
description Hyperspectral imagery of a vertical mine face acquired from a field-based platform is used to evaluate the effects of different conditions of illumination on absorption feature parameters wavelength position, depth and width. Imagery was acquired at different times of the day under direct solar illumination and under diffuse illumination imposed by cloud cover. Imagery acquired under direct solar illumination did not show large amounts of variability in any absorption feature parameter; however, imagery acquired under cloud caused changes in absorption feature parameters. These included the introduction of a spurious absorption feature at wavelengths > 2250 nm and a shifting of the wavelength position of specific clay absorption features to longer or shorter wavelengths. Absorption feature depth increased. The spatial patterns of clay absorption in imagery acquired under similar conditions of direct illumination were preserved but not in imagery acquired under cloud. Kaolinite, ferruginous smectite and nontronite were identified and mapped on the mine face. Results were validated by comparing them with predictions from x-ray diffraction and laboratory hyperspectral imagery of samples acquired from the mine face. These results have implications for the collection of hyperspectral data from field-based platforms.
topic Hyperspectral
clay minerals
absorption feature
mine-face
remote sensing
url http://www.mdpi.com/2072-4292/6/9/9104
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AT sildomartmonteiro mappinglayersofclayinaverticalgeologicalsurfaceusinghyperspectralimageryvariabilityinparametersofswirabsorptionfeaturesunderdifferentconditionsofillumination
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