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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-XLVIII-3-W1-2022-103-2022</article-id>
<title-group>
<article-title>RESEARCH ON THE WAY OF SHARING GEOGRAPHIC INFORMATION DATA IN DISASTER MANAGEMENT</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhao</surname>
<given-names>T. T.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Liu</surname>
<given-names>W. Z.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Di</surname>
<given-names>X. L.</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>Li</surname>
<given-names>R.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wang</surname>
<given-names>X. P.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhai</surname>
<given-names>X.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhu</surname>
<given-names>X. L.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhang</surname>
<given-names>Y.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Peng</surname>
<given-names>Y. L.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>National Geomatics Center of China, No.28, Lianhuachi West Road, Haidian District, Beijing 100830, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Key Laboratory of Spatio-temporal Information and Intelligent Services (LSIIS), MNR, No.28, Lianhuachi West Road, Haidian District, Beijing 100830, China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>27</day>
<month>10</month>
<year>2022</year>
</pub-date>
<volume>XLVIII-3/W1-2022</volume>
<fpage>103</fpage>
<lpage>109</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2022 T. T. Zhao 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/XLVIII-3-W1-2022/103/2022/isprs-archives-XLVIII-3-W1-2022-103-2022.html">This article is available from https://isprs-archives.copernicus.org/articles/XLVIII-3-W1-2022/103/2022/isprs-archives-XLVIII-3-W1-2022-103-2022.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLVIII-3-W1-2022/103/2022/isprs-archives-XLVIII-3-W1-2022-103-2022.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLVIII-3-W1-2022/103/2022/isprs-archives-XLVIII-3-W1-2022-103-2022.pdf</self-uri>
<abstract>
<p>In the process of disaster emergency response, how to achieve rapid sharing of geographic information data is still a difficult problem to be solved. Combining the demand for emergency geographic information data in response to emergencies and major natural disasters in China, investigating the current situation of existing emergency geographic information data sharing, and based on the actual emergency geographic information service guarantee work, this paper researches and analyzes the sharing demand, designs the emergency geographic information data sharing model, and studies the emergency geographic information data sharing mechanism from the aspects of sharing platform, data sharing requirements, and service sharing requirements.</p>
</abstract>
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