Development of a LiDAR derived digital elevation model (DEM) as Input to a METRANS geographic information system (GIS).

Details

• Creators:
  Wechsler, Suzanne P.
• Corporate Creators:
  METRANS Transportation Center (Calif.)
• Subject/TRT Terms:
  • Hydrographic surveying
  • Surveying by feature
  • Optical radar
  • Laser radar
  • Geographic information systems
  • Hydrographic surveying--California--Los Angeles
  • Hydrographic surveying--California--Long Beach
  • Optical radar--California
  • Geographic information systems
  • Los Angeles Harbor (Calif.)
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• Publication/ Report Number:
  METRANS Project
• Resource Type:
  Tech Report
• Geographical Coverage:
  California
• Corporate Publisher:
  METRANS Transportation Center (Calif.)
• Abstract:
  This report describes an assessment of digital elevation models (DEMs) derived from ; LiDAR data for a subset of the Ports of Los Angeles and Long Beach. A methodology ; based on Monte Carlo simulation was applied to investigate the accuracy of DEMs ; derived from the LiDAR data using different interpolation methods (inverse distance ; weighted, spline and Kriging) at different grid cell resolutions (0.25m2, and 0.50m2, 1m2 ; and 2m2). Results indicate that elevation accuracy and the accuracy of a building ; feature derived from the interpolated elevations are not correlated. Inverse Distance ; Weighed at 0.25m2 resolution produced the most accurate surfaces and ranked second ; in its ability to capture the shape of the building. However, this interpolation method and ; grid cell resolution pair took the longest time to compute (over three weeks for the ; accuracy simulation). The methodology provides Port personnel and LiDAR users with ; an approach to determine an appropriate grid cell resolution and interpolation method ; for generating DEMs and extracting building features from LiDAR data. Results indicate ; that compromises between surface accuracy, shape representation and the time ; required to process the data are required.
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• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/23265/dot_23265_DS1.pdf
• File Type:
  [PDF - 10.56 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:bfd379d8d3799b4039b76066b562b7e1b552c7d489adcaa29a845de8533fc204edbbe7d5e9a22d2f90fe431b65c248c53173ce4492037a444326351f4021307d