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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>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprs-archives-XLIII-B3-2022-1261-2022</article-id>
<title-group>
<article-title>RESEARCH ON QUALITY STATUS QUO AND QUALITY EVALUATION THEORY OF NATURAL RESOURCES REMOTE SENSING DATA AND COMMON PRODUCTS</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yin</surname>
<given-names>S.</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>Zhang</surname>
<given-names>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>Zhao</surname>
<given-names>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>Gao</surname>
<given-names>W.</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>Jia</surname>
<given-names>K.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>National Quality Inspection and Testing Center for Surveying and Mapping Products, Beijing, 100830, P.R. China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Beijing Normal University, Beijing, 100875, P.R. China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>31</day>
<month>05</month>
<year>2022</year>
</pub-date>
<volume>XLIII-B3-2022</volume>
<fpage>1261</fpage>
<lpage>1266</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2022 S. Yin et al.</copyright-statement>
<copyright-year>2022</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://isprs-archives.copernicus.org/articles/XLIII-B3-2022/1261/2022/isprs-archives-XLIII-B3-2022-1261-2022.html">This article is available from https://isprs-archives.copernicus.org/articles/XLIII-B3-2022/1261/2022/isprs-archives-XLIII-B3-2022-1261-2022.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLIII-B3-2022/1261/2022/isprs-archives-XLIII-B3-2022-1261-2022.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLIII-B3-2022/1261/2022/isprs-archives-XLIII-B3-2022-1261-2022.pdf</self-uri>
<abstract>
<p>The research on the quality evaluation of satellite remote sensing data and common products of natural resources is to analyze the role of satellite remote sensing data and common products in the management of natural resource elements such as land, forest, grassland, wetland and water, study their quality models and quality evaluation methods, build a quality evaluation index system, and study the technical processes and methods of quality inspection, So as to provide basic support for the research on the framework of quality evaluation standard system and provide technical support for promoting the application of natural resources satellite remote sensing data and common products. Firstly, this paper combs and summarizes the list of 9 categories and 32 types of natural resources satellite remote sensing data and common products. Focusing on the current situation and characteristics of the quality research of typical natural resources satellite remote sensing data and common products, this paper summarizes the quality inspection contents and evaluation methods, existing and proposed standards at home and abroad, the quality characteristics of natural resources satellite remote sensing data and common products are analysed. On this basis, a complete quality evaluation system framework of natural resources satellite remote sensing data and common products is established, and quality elements and quality sub elements are proposed to describe the quality model of natural resources satellite remote sensing data and common products, so as to form a method suitable for evaluating the quality of natural resources satellite remote sensing data and common products.</p>
</abstract>
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