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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>ISPRS</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprsarchives-XXXIX-B4-29-2012</article-id>
<title-group>
<article-title>DATA UPDATING METHODS FOR SPATIAL DATA INFRASTRUCTURE THAT MAINTAIN INFRASTRUCTURE QUALITY AND ENABLE ITS SUSTAINABLE OPERATION</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Murakami</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>Takemoto</surname>
<given-names>T.</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>Ito</surname>
<given-names>Y.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Kokusai Kogyo Co., Ltd, 2-24-1 Harumi-cho, Fuchu-shi, Tokyo, 183-0057 Japan</addr-line>
</aff>
<pub-date pub-type="epub">
<day>27</day>
<month>07</month>
<year>2012</year>
</pub-date>
<volume>XXXIX-B4</volume>
<fpage>29</fpage>
<lpage>33</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2012 S. Murakami 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>
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<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XXXIX-B4/29/2012/isprs-archives-XXXIX-B4-29-2012.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XXXIX-B4/29/2012/isprs-archives-XXXIX-B4-29-2012.pdf</self-uri>
<abstract>
<p>The Japanese government, local governments and businesses are working closely together to establish spatial data infrastructures in
accordance with the Basic Act on the Advancement of Utilizing Geospatial Information (NSDI Act established in August 2007).
Spatial data infrastructures are urgently required not only to accelerate computerization of the public administration, but also to help
restoration and reconstruction of the areas struck by the East Japan Great Earthquake and future disaster prevention and reduction.
For construction of a spatial data infrastructure, various guidelines have been formulated. But after an infrastructure is constructed,
there is a problem of maintaining it. In one case, an organization updates its spatial data only once every several years because of
budget problems. Departments and sections update the data on their own without careful consideration. That upsets the quality
control of the entire data system and the system loses integrity, which is crucial to a spatial data infrastructure. To ensure quality,
ideally, it is desirable to update data of the entire area every year. But, that is virtually impossible, considering the recent budget
crunch. The method we suggest is to update spatial data items of higher importance only in order to maintain quality, not updating all
the items across the board. We have explored a method of partially updating the data of these two geographical features while
ensuring the accuracy of locations. Using this method, data on roads and buildings that greatly change with time can be updated
almost in real time or at least within a year. The method will help increase the availability of a spatial data infrastructure. We have
conducted an experiment on the spatial data infrastructure of a municipality using those data. As a result, we have found that it is
possible to update data of both features almost in real time.</p>
</abstract>
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