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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-XLIV-4-W3-2020-339-2020</article-id>
<title-group>
<article-title>LIDAR DERIVED 3D CITY MODELLING</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Polat</surname>
<given-names>N.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>HRU, Engineering Faculty, 63200 Osmanbey Şanlıurfa, Turkey</addr-line>
</aff>
<pub-date pub-type="epub">
<day>23</day>
<month>11</month>
<year>2020</year>
</pub-date>
<volume>XLIV-4/W3-2020</volume>
<fpage>339</fpage>
<lpage>342</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2020 N. Polat</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/XLIV-4-W3-2020/339/2020/isprs-archives-XLIV-4-W3-2020-339-2020.html">This article is available from https://isprs-archives.copernicus.org/articles/XLIV-4-W3-2020/339/2020/isprs-archives-XLIV-4-W3-2020-339-2020.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLIV-4-W3-2020/339/2020/isprs-archives-XLIV-4-W3-2020-339-2020.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLIV-4-W3-2020/339/2020/isprs-archives-XLIV-4-W3-2020-339-2020.pdf</self-uri>
<abstract>
<p>With the developing computer technologies and increasing data variety, academic and commercial studies started to move from 2 dimensions to 3 dimensions and within the concept of 3D Spatial Information Technology; Many new products and methods have emerged, such as the Digital Earth, Smart City, Virtual Reality, Intelligent Transportation Systems. 3D models of cities are now produced as well as 2D maps. These models can be used in many areas from urban planning, navigation applications, modelling of ancient cities to training and simulation applications. In this context, there are a few data set such as aerial images and LiDAR data, that can be used as 3D data source for modelling purposes. Within the scope of the study, an automatic 3D city model was produced with Envi LiDAR software.</p>
</abstract>
<counts><page-count count="4"/></counts>
</article-meta>
</front>
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