Skip to main content

TxDOT Road Elevation Model Dataset

    Yan Liu | Oak Ridge National Laboratory
    David R Maidment | University of Texas at Austin
    Andy Carter | University of Texas at Austin
    Timothy L Whiteaker | University of Texas at Austin
    Harold R Evans | University of Texas at Austin
Download Dataset on Globus

Description

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/.

Funding Information

DOE Contract Number

AC05-00OR22725

Originating Research Organization

Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Other Contributing Organizations

National Oceanic and Atmospheric Administration (NOAA)

Sponsoring Organization

University of Texas at Austin

Related Works

Details

DOI

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

Release Date

August 7, 2025

Subject

HYDRO ENERGY

Keywords

GPU Graphical Processing Units, high-performance computing, flood inundation mapping, GIS, hydrology, Transportation, Lidar

Dataset

Dataset Type

IM Interactive Maps/GIS Data

Software

QGIS, ArcGIS, GDAL, PDAL, or copc laz viewer software

Other Contract Number(s)

NOAA CIROH NA22NWS4320003; ORNL SPP # NFE-24-10489

Cite This Dataset:

Liu, Y., Maidment, D., Carter, A., Whiteaker, T., Evans, H., Thies, C. (2025). TxDOT Road Elevation Model Dataset. Oak Ridge National Laboratory. https://doi.org/10.13139/ORNLNCCS/2574440.

Acknowledgements

This work was carried out [in part] at Oak Ridge National Laboratory, managed by UT-Battelle, LLC for the U.S. Department of Energy under contract DE-AC05-00OR22725.