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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Archives</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9034</issn>
<publisher><publisher-name>ISPRS</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprsarchives-XXXIX-B5-417-2012</article-id>
<title-group>
<article-title>CLOSE RANGE HYPERSPECTRAL IMAGING INTEGRATED WITH TERRESTRIAL LIDAR SCANNING APPLIED TO ROCK CHARACTERISATION AT CENTIMETRE SCALE</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kurz</surname>
<given-names>T. H.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Buckley</surname>
<given-names>S. J.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Howell</surname>
<given-names>J. A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Centre for Integrated Petroleum Research (Uni CIPR), Postboks 7810, 5020 Bergen, Norway</addr-line>
</aff>
<pub-date pub-type="epub">
<day>30</day>
<month>07</month>
<year>2012</year>
</pub-date>
<volume>XXXIX-B5</volume>
<fpage>417</fpage>
<lpage>422</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2012 T. H. Kurz et al.</copyright-statement>
<copyright-year>2012</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
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<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XXXIX-B5/417/2012/isprs-archives-XXXIX-B5-417-2012.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XXXIX-B5/417/2012/isprs-archives-XXXIX-B5-417-2012.pdf</self-uri>
<abstract>
<p>Compact and lightweight hyperspectral imagers allow the application of close range hyperspectral imaging with a ground based
scanning setup for geological fieldwork. Using such a scanning setup, steep cliff sections and quarry walls can be scanned with a
more appropriate viewing direction and a higher image resolution than from airborne and spaceborne platforms. Integration of the
hyperspectral imagery with terrestrial lidar scanning provides the hyperspectral information in a georeferenced framework and
enables measurement at centimetre scale. In this paper, three geological case studies are used to demonstrate the potential of this
method for rock characterisation. Two case studies are applied to carbonate quarries where mapping of different limestone and
dolomite types was required, as well as measurements of faults and layer thicknesses from inaccessible parts of the quarries. The
third case study demonstrates the method using artificial lighting, applied in a subsurface scanning scenario where solar radiation
cannot be utilised.</p>
</abstract>
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