TxDOT Road Elevation Model Dataset

Liu, Yan; Maidment, David R; Carter, Andy; Whiteaker, Timothy L; Evans, Harold R; Thies, Christine

doi:10.13139/ORNLNCCS/2574440

Title: TxDOT Road Elevation Model Dataset

Dataset
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Abstract

This dataset provides three formats of Road Elevation Model (REM) data: 3D road line/polygon GeoPackage (GPKG), road lidar LAZ and COPC LAZ, and road digital surface model (DSM) GeoTIFF. Data are produced from the ~50TB TxGIO (formerly TNRIS) state lidar collections. This dataset is currently organized by maintenance section in each TxDOT district. Computation is done on GPU computing resources at Oak Ridge National Laboratory (ORNL), through a Strategic Partnership Project with UT Austin and an NSF ACCESS computing allocation award that enables fast massive data movement between TACC Corral and ORNL CADES/OLCF using Globus. In addition to this release from ORNL, a copy of this dataset can also be downloaded at https://web.corral.tacc.utexas.edu/nfiedata/road3d/.

Authors:

Liu, Yan; Maidment, David R; Carter, Andy; Whiteaker, Timothy L; Evans, Harold R; Thies, Christine

Oak Ridge National Laboratory
University of Texas at Austin

Publication Date:: Thu Aug 07 04:00:00 UTC 2025

DOE Contract Number:: AC05-00OR22725

Research Org.:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: University of Texas at Austin

Subject:: 13 HYDRO ENERGY; GIS; GPU Graphical Processing Units; Lidar; Transportation; flood inundation mapping; high-performance computing; hydrology

OSTI Identifier:: 2574440

DOI:: https://doi.org/10.13139/ORNLNCCS/2574440

Citation Formats


                    Liu, Yan, Maidment, David R, Carter, Andy, Whiteaker, Timothy L, Evans, Harold R, and Thies, Christine. TxDOT Road Elevation Model Dataset.  United States: N. p., 2025. 
        Web.  doi:10.13139/ORNLNCCS/2574440.

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                    Liu, Yan, Maidment, David R, Carter, Andy, Whiteaker, Timothy L, Evans, Harold R, & Thies, Christine. TxDOT Road Elevation Model Dataset.  United States.  doi:https://doi.org/10.13139/ORNLNCCS/2574440

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                    Liu, Yan, Maidment, David R, Carter, Andy, Whiteaker, Timothy L, Evans, Harold R, and Thies, Christine. 2025.  
"TxDOT Road Elevation Model Dataset".  United States.  doi:https://doi.org/10.13139/ORNLNCCS/2574440.  https://www.osti.gov/servlets/purl/2574440. Pub date:Thu Aug 07 04:00:00 UTC 2025

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@article{osti_2574440,

  title        = {TxDOT Road Elevation Model Dataset},

  author       = {Liu, Yan and Maidment, David R and Carter, Andy and Whiteaker, Timothy L and Evans, Harold R and Thies, Christine},

  abstractNote = {This dataset provides three formats of Road Elevation Model (REM) data: 3D road line/polygon GeoPackage (GPKG), road lidar LAZ and COPC LAZ, and road digital surface model (DSM) GeoTIFF. Data are produced from the ~50TB TxGIO (formerly TNRIS) state lidar collections. This dataset is currently organized by maintenance section in each TxDOT district. Computation is done on GPU computing resources at Oak Ridge National Laboratory (ORNL), through a Strategic Partnership Project with UT Austin and an NSF ACCESS computing allocation award that enables fast massive data movement between TACC Corral and ORNL CADES/OLCF using Globus. In addition to this release from ORNL, a copy of this dataset can also be downloaded at https://web.corral.tacc.utexas.edu/nfiedata/road3d/.},

  doi          = {10.13139/ORNLNCCS/2574440},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Thu Aug 07 04:00:00 UTC 2025},

  month        = {Thu Aug 07 04:00:00 UTC 2025}

}

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DOI: https://doi.org/10.13139/ORNLNCCS/2574440

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