<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "https://jats.nlm.nih.gov/nlm-dtd/publishing/3.0/journalpublishing3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="3.0" xml:lang="en">
<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>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprsarchives-XL-3-W3-439-2015</article-id>
<title-group>
<article-title>USING LEGACY SOIL DATA FOR STANDARDIZING PREDICTIONS OF TOPSOIL CLAY CONTENT OBTAINED FROM VNIR/SWIR HYPERSPECTRAL AIRBORNE IMAGES</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Gomez</surname>
<given-names>C.</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>Gholizadeh</surname>
<given-names>A.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Borůvka</surname>
<given-names>L.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lagacherie</surname>
<given-names>P.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>IRD, UMR LISAH (INRA-IRD-SupAgro), F-34060 Montpellier, France</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Department of Soil Science and Soil Protection, Czech University of Life Scieneces, 165 21 Prague, Czech Republic</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>INRA, UMR LISAH (INRA-IRD-SupAgro), F-34060 Montpellier, France</addr-line>
</aff>
<pub-date pub-type="epub">
<day>20</day>
<month>08</month>
<year>2015</year>
</pub-date>
<volume>XL-3/W3</volume>
<fpage>439</fpage>
<lpage>444</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2015 C. Gomez et al.</copyright-statement>
<copyright-year>2015</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>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XL-3-W3/439/2015/isprs-archives-XL-3-W3-439-2015.html">This article is available from https://isprs-archives.copernicus.org/articles/XL-3-W3/439/2015/isprs-archives-XL-3-W3-439-2015.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XL-3-W3/439/2015/isprs-archives-XL-3-W3-439-2015.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XL-3-W3/439/2015/isprs-archives-XL-3-W3-439-2015.pdf</self-uri>
<abstract>
<p>Mapping of topsoil properties using Visible, Near-Infrared and Short Wave Infrared (VNIR/SWIR) hyperspectral imagery requires large sets of ground measurements for calibrating the models that estimate soil properties. To avoid collecting such expensive data, we proposed a procedure including two steps that involves only legacy soil data that were collected over and?or around the study site: &lt;i&gt;1)&lt;/i&gt; estimation of a soil property using a spectral index of the literature and &lt;i&gt;2)&lt;/i&gt; standardisation of the estimated soil property using legacy soil data.  This approach was tested for mapping clay contents in a Mediterranean region in which VNIR/SWIR AISA-DUAL
hyperspectral airborne data were acquired. The spectral index was the one proposed by Levin et al (2007) using the spectral bands at
2209, 2133 and 2225 nm. Two legacy soil databases were tested as inputs of the procedure: the &lt;i&gt;Focused-Legacy&lt;/i&gt; database composed
of 67 soil samples collected in 2000 over the study area, and the No-Focused-Legacy database composed of 64 soil samples collected
between 1973 and 1979 around but outside of the study area. The results were compared with those obtained from 120 soil samples
collected over the study area during the hyperspectral airborne data acquisition, which were considered as a reference. 
&lt;br&gt;&lt;br&gt;
 Our results showed that: &lt;i&gt;1)&lt;/i&gt; the spectral index with no further standardisation offered predictions with high accuracy in term of
coefficient of correlation &lt;i&gt;r&lt;/i&gt; (0.71), but also high &lt;i&gt;bias&lt;/i&gt; (&amp;minus;414 g/kg) and &lt;i&gt;SEP&lt;/i&gt; (439 g/kg), &lt;i&gt;2)&lt;/i&gt; the standardisation using both legacy soil
databases allowed an increase of accuracy (&lt;i&gt;r&lt;/i&gt; = 0.76) and a reduction of &lt;i&gt;bias&lt;/i&gt; and &lt;i&gt;SEP&lt;/i&gt; and &lt;i&gt;3)&lt;/i&gt; a better standardisation was obtained by
using the &lt;i&gt;Focused-Legacy&lt;/i&gt; database rather than the
&lt;i&gt;No-Focused-Legacy&lt;/i&gt; database. Finally, the clay predicted map obtained with
standardisation using the &lt;i&gt;Focused-Legacy&lt;/i&gt; database showed pedologically-significant soil spatial structures with clear short-scale
variations of topsoil clay contents in specific areas.
&lt;br&gt;&lt;br&gt;
 This study, associated with the coming availability of a next generation of hyperspectral VNIR/SWIR satellite data for the entire
globe, paves the way for inexpensive methods for delivering high resolution soil properties maps.</p>
</abstract>
<counts><page-count count="6"/></counts>
</article-meta>
</front>
<body/>
<back>
</back>
</article>