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<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>ISPRS - 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-XLII-3-W10-1001-2020</article-id>
<title-group>
<article-title>EXPRESSION AND ANALYSIS OF SEISMIC DISASTER INFORMATION BASED ON KML</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lin</surname>
<given-names>Y. X.</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>Wang</surname>
<given-names>S. T.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>School of Surveying, Mapping and Geographic Information, Guilin University of Technology, Guilin, Guangxi, China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>08</day>
<month>02</month>
<year>2020</year>
</pub-date>
<volume>XLII-3/W10</volume>
<fpage>1001</fpage>
<lpage>1004</lpage>
<permissions>
<copyright-statement>Copyright: © 2020 Y. X. Lin</copyright-statement>
<copyright-year>2020</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/isprs-archives-XLII-3-W10-1001-2020.html">This article is available from https://isprs-archives.copernicus.org/articles/isprs-archives-XLII-3-W10-1001-2020.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/isprs-archives-XLII-3-W10-1001-2020.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/isprs-archives-XLII-3-W10-1001-2020.pdf</self-uri>
<abstract>
<p>The display and recognition of geographical features based on KML and Google Earth/Google Maps provide possibilities for the visualization and analysis of earthquake disasters. In this paper, compile and generate the corresponding point and face KML files of the disaster information of Guangxi Zhuang Autonomous Region in January through the Visual Basic custom script. The KML files realize information display, query and analysis in Google Earth,and combine with Arcgis's topography, elevation and image information of feature points to carry out multi-information source analysis and realize the interpretation and analysis of the current situation of earthquakes, which can provide some reference information for the monitoring and evaluation of earthquakes.</p>
</abstract>
<counts><page-count count="4"/></counts>
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