Road lidar and road line/polygon xyz data are produced from the ~50TB TxGIO (formerly TNRIS) state lidar collections. Road lidar 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.
Coverage commit history: [20250519] [20250529] [20250604]
District Status | TxDOT Districts | Population % | Area % |
---|---|---|---|
Completed | 25 | 100% | 100% |
Outstanding | 0 | 0% | 0% |
[Summary Statistics for the June 10, 2025 pre-release]
ogr2ogr -dialect sqlite -sql "select * from gis_osm_roads_free_1 where fclass in ('motorway', 'motorway_li nk', 'tertiary', 'primary_link', 'secondary', 'residential', 'unclassified', 'primary', 'trunk', 'tertiary_link', 'trunk_link', 'secondary_link')" -t_srs epsg:3081 osm_texas_roadlines_20250317_epsg3081.gpkg gis_osm_roads_free_1.shp -nln roadlines
This research used resources from the ORNL Research Cloud Infrastructure at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725. We would like to thank Chris Layton, Daniel Collins, Daniel Dewey, and Nate Noll for their generous help and superb technical support during the computation of this Texas REM dataset.
This resource is shared under the Creative Commons Attribution CC BY, http://creativecommons.org/licenses/by/4.0/
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