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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-XLII-3-2469-2018</article-id>
<title-group>
<article-title>STUDY ON ECOLOGICAL RISK ASSESSMENT OF GUANGXI COASTAL ZONE BASED ON 3S TECHNOLOGY</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhong</surname>
<given-names>Z.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<sup>3</sup>
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</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Luo</surname>
<given-names>H.</given-names>
</name>
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<sup>1</sup>
</xref>
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<sup>2</sup>
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<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ling</surname>
<given-names>Z. Y.</given-names>
</name>
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<sup>2</sup>
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</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Huang</surname>
<given-names>Y.</given-names>
</name>
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<sup>2</sup>
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</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ning</surname>
<given-names>W. Y.</given-names>
</name>
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</xref>
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<sup>2</sup>
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<sup>3</sup>
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</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Tang</surname>
<given-names>Y. B.</given-names>
</name>
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<sup>1</sup>
</xref>
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<sup>2</sup>
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<sup>3</sup>
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</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Shao</surname>
<given-names>G. Z.</given-names>
</name>
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</xref>
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<sup>2</sup>
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</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Geomatics Center of Guangxi, People&apos;s Republic of China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Guangxi Branch of Satellite Surveying and Mapping Application Center, People&apos;s Republic of China</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Guangxi Data and Application Center of High Resolution Earth Observation System, People&apos;s Republic of China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>02</day>
<month>05</month>
<year>2018</year>
</pub-date>
<volume>XLII-3</volume>
<fpage>2469</fpage>
<lpage>2472</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2018 Z. Zhong et al.</copyright-statement>
<copyright-year>2018</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/XLII-3/2469/2018/isprs-archives-XLII-3-2469-2018.html">This article is available from https://isprs-archives.copernicus.org/articles/XLII-3/2469/2018/isprs-archives-XLII-3-2469-2018.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLII-3/2469/2018/isprs-archives-XLII-3-2469-2018.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLII-3/2469/2018/isprs-archives-XLII-3-2469-2018.pdf</self-uri>
<abstract>
<p>This paper takes Guangxi coastal zone as the study area, following the standards of land use type, divides the coastal zone of ecological landscape into seven kinds of natural wetland landscape types such as woodland, farmland, grassland, water, urban land and wetlands. Using TM data of 2000&amp;ndash;2015 such 15 years, with the CART decision tree algorithm, for analysis the characteristic of types of landscape’s remote sensing image and build decision tree rules of landscape classification to extract information classification. Analyzing of the evolution process of the landscape pattern in Guangxi coastal zone in nearly 15 years, we may understand the distribution characteristics and change rules. Combined with the natural disaster data, we use of landscape index and the related risk interference degree and construct ecological risk evaluation model in Guangxi coastal zone for ecological risk assessment results of Guangxi coastal zone.</p>
</abstract>
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