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<front>
<journal-meta>
<journal-id journal-id-type="publisher">SOILD</journal-id>
<journal-title-group>
<journal-title>SOIL Discussions</journal-title>
<abbrev-journal-title abbrev-type="publisher">SOILD</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">SOIL Discuss.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2199-3998</issn>
<publisher><publisher-name></publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/soil-2018-12</article-id>
<title-group>
<article-title>Mapping homogeneous spectral response zones in a soil profile</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jones</surname>
<given-names>Edward J.</given-names>
<ext-link>https://orcid.org/0000-0002-8863-6905</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>McBratney</surname>
<given-names>Alex B.</given-names>
<ext-link>https://orcid.org/0000-0003-0913-2643</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Sydney Institute of Agriculture, Faculty of Science, The University of Sydney</addr-line>
</aff>
<funding-group>
<award-group id="gs1">
<funding-source>Grains Research and Development Corporation</funding-source>
<award-id>GRS10927</award-id>
</award-group>
</funding-group>
<pub-date pub-type="epub">
<day>05</day>
<month>06</month>
<year>2018</year>
</pub-date>
<volume>2018</volume>
<fpage>1</fpage>
<lpage>20</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2018 Edward J. Jones</copyright-statement>
<copyright-year>2018</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://soil.copernicus.org/preprints/soil-2018-12/">This article is available from https://soil.copernicus.org/preprints/soil-2018-12/</self-uri>
<self-uri xlink:href="https://soil.copernicus.org/preprints/soil-2018-12/soil-2018-12.pdf">The full text article is available as a PDF file from https://soil.copernicus.org/preprints/soil-2018-12/soil-2018-12.pdf</self-uri>
<abstract>
<p>Homogeneous spectral response zones represent relatively uniform regions of soil that may be useful for identifying soil horizons or delineating soil units spatially. External parameter orthogonalisation (EPO) and direct standardisation (DS) were assessed for their ability to conserve intrinsic soil information of spectra under variable moisture conditions, as experienced when taking measurements &lt;i&gt;in situ&lt;/i&gt;. A 1&amp;thinsp;m&amp;thinsp;&amp;times;&amp;thinsp;1&amp;thinsp;m section of a soil profile was intensively sampled using visible near-infrared diffuse reflectance spectroscopy at 2.5&amp;thinsp;cm vertical intervals and 10&amp;thinsp;cm horizontal intervals. Further samples were taken on a 10&amp;thinsp;cm grid and scanned in a laboratory under field moist and air-dry conditions. A principal component space was constructed based on the &lt;i&gt;in situ&lt;/i&gt; scans following either EPO transformation, DS transformation or following pre-processing only (PP). Scores from the first four principal components &amp;ndash; which accounted for more than 0.97 of the total variance in each case &amp;ndash; were subject to k-means clustering to identify homogeneous spectral response zones. Laboratory-based scans were then projected onto the same principal component space and fitted to the pre-existing cluster centroids. Both EPO and DS were found to have potential in reconciling differences observed between &lt;i&gt;in situ&lt;/i&gt; and laboratory-based measurements compared to pre-processing only (PP). EPO outperformed DS in terms of conserving the relationship between PC scores (LCCC: EPO&amp;thinsp;=&amp;thinsp;0.84, DS&amp;thinsp;=&amp;thinsp;0.58, PPO&amp;thinsp;=&amp;thinsp;0.44; RMSE: EPO&amp;thinsp;=&amp;thinsp;11.8, DS&amp;thinsp;=&amp;thinsp;15.4, PPO&amp;thinsp;=&amp;thinsp;38.5) and also in identifying homogeneous spectral response zones that corresponded to field observed horizons.</p>
</abstract>
<counts><page-count count="20"/></counts>
</article-meta>
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