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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-XLI-B8-1135-2016</article-id>
<title-group>
<article-title>ASSESSING FLOOD IMPACTS IN RURAL COASTAL COMMUNITIES USING LIDAR</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Johnson</surname>
<given-names>E. S.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Environmental Studies Program, Bowdoin College, 6700 College Station, Brunswick, ME 04011, USA</addr-line>
</aff>
<pub-date pub-type="epub">
<day>24</day>
<month>06</month>
<year>2016</year>
</pub-date>
<volume>XLI-B8</volume>
<fpage>1135</fpage>
<lpage>1139</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2016 E. S. Johnson</copyright-statement>
<copyright-year>2016</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>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLI-B8/1135/2016/isprs-archives-XLI-B8-1135-2016.html">This article is available from https://isprs-archives.copernicus.org/articles/XLI-B8/1135/2016/isprs-archives-XLI-B8-1135-2016.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLI-B8/1135/2016/isprs-archives-XLI-B8-1135-2016.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLI-B8/1135/2016/isprs-archives-XLI-B8-1135-2016.pdf</self-uri>
<abstract>
<p>Coastal communities are vulnerable to floods from storm events which are further exacerbated by storm surges. Additionally, coastal towns provide specific challenges during flood events as many coastal communities are peninsular and vulnerable to inundation of road access points. Publicly available lidar data has been used to model areas of inundation and resulting flood impacts on road networks. However, these models may overestimate areas that are inaccessible as they rely on publicly available Digital Terrain Models. Through incorporation of Digital Surface Models to estimate bridge height, a more accurate model of flood impacts on rural coastal residents can be estimated.</p>
</abstract>
<counts><page-count count="5"/></counts>
</article-meta>
</front>
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</article>