U.S. Department of EnergyOffice of Scientific and Technical Information
Road Lidar Dataset for the TxDOT Austin District
Abstract
This is a road lidar data collection for developing road elevation models and road inundation mapping methodologies, a joint work between ORNL and The University of Texas at Austin. This dataset is generated as part of the flood transportation infrastructure, partly funded by the NOAA CIROH project. ORNL is a project partner for high-performance computing-empowered flood inundation mapping methodology R&D. The dataset is computed using a GPU-accelerated lidar data processing workflow developed at ORNL. The lidar data source is from TxGIO, the state lidar data collection site. The output dataset is in two formats: laz and copc. It is organized by TxDOT's maintenance sections, covering the Austin District. Data size: 3.86 billion road lidar points, 1.67% of the entire lidar data input Projection: EPSG:32614 (WGS84/UTM zone 14N) Website: https://web.corral.tacc.utexas.edu/nfiedata/road3d/austin_district/AustinMaintenanceSections_H_epsg6343_V_epsg5703/ LICENSE FOR USE -- MAPS AND DATA DISCLAIMER This resource is shared under the Creative Commons Attribution CC BY, http://creativecommons.org/licenses/by/4.0/ MAPS AND DATA DISCLAIMER The Oak Ridge National Laboratory (ORNL) shall not be held liable for improper or incorrect use of the data described or information contained on this map or associated series of maps. The data and related map graphics are not legal, land survey or engineering documents and aremore »
- Authors:
-
- Oak Ridge National Laboratory; ORNL
- University of Texas at Austin
- Publication Date:
- DOE Contract Number:
- AC05-00OR22725
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- National Oceanic and Atmospheric Administration (NOAA)
- Subject:
- 54 ENVIRONMENTAL SCIENCES
- OSTI Identifier:
- 2472925
- DOI:
- https://doi.org/10.13139/ORNLNCCS/2472925
Citation Formats
Liu, Yan, Maidment, David, Carter, Andy, and Whiteaker, Timothy L. Road Lidar Dataset for the TxDOT Austin District. United States: N. p., 2024.
Web. doi:10.13139/ORNLNCCS/2472925.
Liu, Yan, Maidment, David, Carter, Andy, & Whiteaker, Timothy L. Road Lidar Dataset for the TxDOT Austin District. United States. doi:https://doi.org/10.13139/ORNLNCCS/2472925
Liu, Yan, Maidment, David, Carter, Andy, and Whiteaker, Timothy L. 2024.
"Road Lidar Dataset for the TxDOT Austin District". United States. doi:https://doi.org/10.13139/ORNLNCCS/2472925. https://www.osti.gov/servlets/purl/2472925. Pub date:Wed Oct 30 00:00:00 EDT 2024
@article{osti_2472925,
title = {Road Lidar Dataset for the TxDOT Austin District},
author = {Liu, Yan and Maidment, David and Carter, Andy and Whiteaker, Timothy L},
abstractNote = {This is a road lidar data collection for developing road elevation models and road inundation mapping methodologies, a joint work between ORNL and The University of Texas at Austin. This dataset is generated as part of the flood transportation infrastructure, partly funded by the NOAA CIROH project. ORNL is a project partner for high-performance computing-empowered flood inundation mapping methodology R&D. The dataset is computed using a GPU-accelerated lidar data processing workflow developed at ORNL. The lidar data source is from TxGIO, the state lidar data collection site. The output dataset is in two formats: laz and copc. It is organized by TxDOT's maintenance sections, covering the Austin District. Data size: 3.86 billion road lidar points, 1.67% of the entire lidar data input Projection: EPSG:32614 (WGS84/UTM zone 14N) Website: https://web.corral.tacc.utexas.edu/nfiedata/road3d/austin_district/AustinMaintenanceSections_H_epsg6343_V_epsg5703/ LICENSE FOR USE -- MAPS AND DATA DISCLAIMER This resource is shared under the Creative Commons Attribution CC BY, http://creativecommons.org/licenses/by/4.0/ MAPS AND DATA DISCLAIMER The Oak Ridge National Laboratory (ORNL) shall not be held liable for improper or incorrect use of the data described or information contained on this map or associated series of maps. The data and related map graphics are not legal, land survey or engineering documents and are not intended to be used as such. ORNL gives no warranty, express or implied, as to the accuracy, reliability, utility or completeness of this information. The user of these maps and data assumes all responsibility and risk for the use of the maps and data. ORNL disclaims all warranties, representations or endorsements either express or implied, with regard to the information contained in this map product, including, but not limited to, all implied warranties of merchantability, fitness for a particular purpose or non-infringement. This preliminary map product is for research and review purposes only. It is not intended to be used for emergency management operational or life safety decisions at the local or regional governmental level or by the general public. Users requiring information regarding hazardous conditions or meteorological conditions for specific geographic areas should consult directly with their city or county emergency management office.},
doi = {10.13139/ORNLNCCS/2472925},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Oct 30 00:00:00 EDT 2024},
month = {Wed Oct 30 00:00:00 EDT 2024}
}