<?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>Bruce B. Worstell</dc:contributor>
  <dc:contributor>Jeffrey J. Danielson</dc:contributor>
  <dc:contributor>John Brock</dc:contributor>
  <dc:contributor>Gayla A. Evans</dc:contributor>
  <dc:contributor>H. Karl Heidemann</dc:contributor>
  <dc:creator>Sandra K. Poppenga</dc:creator>
  <dc:date>2014</dc:date>
  <dc:description>Hydrologic-enforcement (hydro-enforcement) of light detection and ranging (lidar)-derived digital elevation models (DEMs) modifies the elevations of artificial impediments (such as road fills or railroad grades) to simulate how man-made drainage structures such as culverts or bridges allow continuous downslope flow. Lidar-derived DEMs contain an extremely high level of topographic detail; thus, hydro-enforced lidar-derived DEMs are essential to the U.S. Geological Survey (USGS) for complex modeling of riverine flow. The USGS Coastal and Marine Geology Program (CMGP) is integrating hydro-enforced lidar-derived DEMs (land elevation) and lidar-derived bathymetry (water depth) to enhance storm surge modeling in vulnerable coastal zones.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.3133/fs20143051</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>U.S. Geological Survey</dc:publisher>
  <dc:title>Hydrologic enforcement of lidar DEMs</dc:title>
  <dc:type>reports</dc:type>
</oai_dc:dc>