<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Susan E. Hough</dc:contributor>
  <dc:contributor>Brady R. Cox</dc:contributor>
  <dc:contributor>Ellen M. Rathje</dc:contributor>
  <dc:contributor>Jeff Bachhuber</dc:contributor>
  <dc:contributor>Ranon Dulberg</dc:contributor>
  <dc:contributor>David Hulslander</dc:contributor>
  <dc:contributor>Lisa Christiansen</dc:contributor>
  <dc:contributor>Michael J. Abrams</dc:contributor>
  <dc:creator>Alan Yong</dc:creator>
  <dc:date>2011</dc:date>
  <dc:description>We report about a preliminary study to evaluate the use of semi-automated imaging analysis of remotely-sensed DEM and field geophysical measurements to develop a seismic-zonation map of Port-au-Prince, Haiti. For in situ data, V&lt;sub&gt;S&lt;/sub&gt;30 values are derived from the MASW technique deployed in and around the city. For satellite imagery, we use an ASTER GDEM of Hispaniola. We apply both pixel- and object-based imaging methods on the ASTER GDEM to explore local topography (absolute elevation values) and classify terrain types such as mountains, alluvial fans and basins/near-shore regions. We assign NEHRP seismic site class ranges based on available V&lt;sub&gt;S&lt;/sub&gt;30 values. A comparison of results from imagery-based methods to results from traditional geologic-based approaches reveals good overall correspondence. We conclude that image analysis of RS data provides reliable first-order site characterization results in the absence of local data and can be useful to refine detailed site maps with sparse local data.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.14358/PERS.77.9.909</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>The American Society for Photogrammetry &amp; Remote Sensing</dc:publisher>
  <dc:title>Seismic zonation of Port-Au-Prince using pixel- and object-based imaging analysis methods on ASTER GDEM</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>