<?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>ISPRS</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprsarchives-XXXIX-B1-167-2012</article-id>
<title-group>
<article-title>CROSS-CALIBRATION OF THE RAPIDEYE MULTISPECTRAL IMAGER PAYLOADS USING PSEUDO-INVARIANT TEST SITES</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Thiele</surname>
<given-names>M.</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>Anderson</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>Brunn</surname>
<given-names>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>RapidEye AG, Calibration &amp; Validation, 14776 Brandenburg an der Havel, Molkenmarkt 30, Germany</addr-line>
</aff>
<pub-date pub-type="epub">
<day>23</day>
<month>07</month>
<year>2012</year>
</pub-date>
<volume>XXXIX-B1</volume>
<fpage>167</fpage>
<lpage>171</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2012 M. Thiele 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>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XXXIX-B1/167/2012/isprs-archives-XXXIX-B1-167-2012.html">This article is available from https://isprs-archives.copernicus.org/articles/XXXIX-B1/167/2012/isprs-archives-XXXIX-B1-167-2012.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XXXIX-B1/167/2012/isprs-archives-XXXIX-B1-167-2012.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XXXIX-B1/167/2012/isprs-archives-XXXIX-B1-167-2012.pdf</self-uri>
<abstract>
<p>Radiometric calibration of the RapidEye Multispectral Imager (MSI) as with all other remote sensing instruments is an essential task
in the quantitative assessment of sensor image quality and the production of accurate data products for a wide range of geo-spatial
applications. Spatially and temporally pseudo-invariant terrestrial targets have long been used to quantify and provide a consistent
record of the radiometric performance of Earth observation systems. The RapidEye cross-calibration approach combines temporal
and relative calibration to ensure temporal stability in spectral response between it&apos;s 5 identical MSI over time by using a large
number of repetitive collects of many pseudo-invariant calibration sites. The approach is characterized by its known reliability which
is based on the purely statistical analysis of many ground collects with ground infrastructure or measurement systems not being
necessary. The results show that the in-band percent difference in the measured response among all RapidEye sensors is less than
two percent. Although the results show some offsets between the different sensors, the response of the RapidEye constellation over a
three-year period is very stable.</p>
</abstract>
<counts><page-count count="5"/></counts>
</article-meta>
</front>
<body/>
<back>
</back>
</article>