This metadata record describes the classified point cloud for the 2017 Texas Coastal LiDAR project spanning one of two areas of interest (AOIs). The Western Block AOI covers approximately 289 square miles, including the cities of Liberty, Hankamer, and Anahuac in southeast Texas. This AOI was collected to meet the density of 8 points per meter.

The Eastern Block covers approximately 841 squ...

This resource contains Lidar-DEM collection status shapefiles from the Texas Natural Resources Information System (TNRIS) [http://tnris.org]. November 2023 updates: this year, TNRIS changed its name to Texas Geographic Information Office (TxGIO). The domain name hasn't changed yet, but the data hub is continually evolving. See [1], [2] for current downloadable data.

For purposes of Hurricane Harvey studies, the 1-m DEM for Harris County (2008) has also been uploaded here as a set of 4 zipfiles containing the DEM in tiff files. See [1] for a link to the current elevation status map and downloadable DEMs.
Project name: H-GAC 2008 1m Datasets: 1m Point Cloud, 1M Hydro-Enforced DEM, 3D Breaklines, 1ft and 5ft Contours Points per sq meter: 1 Total area: 3678.56 sq miles Source: Houston-Galveston Area Council (H-GAC) Acquired by: Merrick, QA/QC: Merrick Catalog: houston-galveston-area-council-h-gac-2008-lidar

References: [1] TNRIS/TxGIO StratMap elevation data [https://tnris.org/stratmap/elevation-lidar/] [2] TNRIS/TxGIO DataHub [https://data.tnris.org/]

This metadata record describes the bare-earth hydro-flattened Digital Elevation Model (DEM) for the Western Block of the 2017 Texas Coastal LiDAR project. The Western Block AOI covers approximately 289 square miles, including the cities of Liberty, Hankamer, and Anahuac in southeast Texas. This point cloud AOI was collected to meet the density of 8 points per meter. Total area covers equals...

This resource contains Lidar-DEM collection status shapefiles from the Texas Natural Resources Information System (TNRIS) [http://tnris.org]. For purposes of Hurricane Harvey studies, the 1-m DEM for Harris County has also been uploaded as a set of 4 zipfiles containing the DEM in tiff files.

Project name: H-GAC 2008 1m Datasets: 1m Point Cloud, 1M Hydro-Enforced DEM, 3D Breaklines, 1ft and 5ft Contours Points per sq meter: 1 Total area: 3678.56 sq miles Source: Houston-Galveston Area Council (H-GAC) Acquired by: Merrick QA/QC: Merrick Catalog: https://tnris.org/data-catalog/entry/houston-galveston-area-council-h-gac-2008-lidar/

ELEVATION.contours_2021

Summary The Texas Natural Resources Information System (TNRIS) contracted Sanborn to fly LiDAR in March of 2021. TNRIS then created the contours in the Spring of 2022 using Global Mapper.

Description This layer represents contour elevation lines as of the March 2021. The contours are derived from LiDAR data, collected in the March 2021. Contours were generated using Global Mapper, sample spacing used to create the contours is consistent with the Nominal Point Spacing (NPS), of the source LiDAR dataset from which it was derived. Lines were automatically smoothed while being generated by Global Mapper.

Important: The LiDAR data was created using UTM zone 14N and was projected in Central Texas State Plane (NAD 83) FIPS 4203.

For contour type: 1 = Minor Contour 2 = Intermediate Contour 3 = Major Contour

Credits The Texas Natural Resources Information System (TNRIS)

Use limitations This map has been produced by the City of Austin for the cartographic purposes. No warranty is made by the City or TNRIS regarding its accuracy or completeness.

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: https://coast.noaa.gov/slr. This metadata record describes the Texas North 1 digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer described above. This DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications. This DEM includes data for Hardin, Jasper, Jefferson, Newton, and Orange Counties. The DEM was produced from the following lidar data sets: 1. 2018 NRCS Texas - Eastern Texas Lidar 2. 2018 TNRIS Lidar: Upper Coastal Lidar 3. 2017 TNRIS Lidar: Jefferson, Liberty, and Chambers 4. 2016 FEMA Region 6 TX - Neches Basin QL2 Lidar The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88, Geoid12B) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 3 meters.

This dataset provides a map that shows contours for likely flood extent related to elevation within a watershed. The files were generated using a commonly accepted approach to terrain-based analyses for determining flood extent, called Height Above Natural Drainage (HAND), to analyze terrain information in the dataset . The complete 126 file set includes watersheds based on the national HUC-12 (Hydrologic Unit Code). Files are named using the unique HUC-12 code identifier used by the US Geological Survey (https://water.usgs.gov/GIS/huc.html). Each datafile is formatted as a raster GeoTIFF derived from 1-meter LIDAR https://tnris.org/stratmap/elevation-lidar/ Datasets were generated using the HAND-TauDEM workflow that can be accessed publicly in a github repository at https://github.com/dhardestylewis/HAND-TauDEM Files were processed using open-source software, including TauDEM and Python GIS libraries. Data was discretized in one foot intervals (1 ft ~= 0.3048 m) in order to reduce file size (see separate dataset for raw Height Above Nearest Drainage).

A bare earth Digital Elevation Model (DEM) created from 2013 LiDAR LAS files for Wilson and Karnes counties in Texas. LiDAR data collection was funded by the Texas Water Development Board. LiDAR LAS files were acquired from Texas Natural Resources Information System (TNRIS). The DEM is a dataset that depicts the topography of the bare earth surface (i.e. surface minus vegetation, buildings, powerlines, etc). This dataset was developled to be used in conjunction with the DSM to create a vegetation height surface (nDSM). The LAS point cloud was filtered to ground points only and the mean z value was calculated. A Digital Surface Model (DSM) created from 2013 LiDAR LAS files for Wilson and Karnes counties in Texas. LiDAR data collection was funded by the Texas Water Development Board. LiDAR LAS files were acquired from Texas Natural Resources Information System (TNRIS). The DSM is an elevation surface created by using the maximum z value to depict the tallest features on the landscape (i.e. tops of buildings, trees, powerlines, etc.). The DSM can be used along with a DEM surface to create a normailzed DSM, or vegetation height layer.This LiDAR data set was fully classified, the classification was accurate enough to consistently and reliable filter out buildings, power lines and other man-made structures.

LIDAR data was collected in 2008 covering Bastrop, Fayette, Hays counties. Products include Point Cloud, Bare Earth, Intensity imagery, 3D breaklines, and Contour data for the entire area. This LIDAR operation was designed to provide a high density set of mass points within the defined areas suitable for the development of contours for use in hydraulic/hydrologic model development, and for assessing environmental impacts. This data is made available via the Texas Natural Resource Information System:https://tnris.org/data-catalog/entry/capcog-2008-140cm/The 2008 LIDAR data was used to describe the elevation of the study sites at the Camp Swift Fire Experiment 2014. The raw LIDAR data was converted to a digital elevation model at 1 meter resolution using Lp360. This aspect dataset was created using the ArcGIS Aspect tool. The Camp Swift Fire Experiment 2014 consisted of three fires ignited in burn blocks of dimensions 100 meters (m) by 100 m on January 15, 2014. Fires were ignited on relatively flat areas of grass vegetation in moderate winds. Measurements around the three burn blocks began on January 14, 2014 and continued until shortly after completion of the three burns on January 15, 2014. The objective of the research burns was to create a dataset comprised of ground based and remote sensing measurements. Full details on the Camp Swift Fire Experiment 2014 can be accessed at through the "Camp Swift Fire Experiment 2014: Integrated Data Quality Assessment" story map. The full set of published data is contained on the United States Department of Agriculture Forest Service Research Data Archive.

LIDAR data was collected in 2008 covering Bastrop, Fayette, Hays counties. Products include Point Cloud, Bare Earth, Intensity imagery, 3D breaklines, and Contour data for the entire area. This Lidar operation was designed to provide a high density set of mass points within the defined areas suitable for the development of contours for use in hydraulic/hydrologic model development, and for assessing environmental impacts. This data is made available via the Texas Natural Resource Information System. The raw LIDAR data was converted to a digital elevation model (DEM) at 1-m resolution using Lp360. This contour interval dataset was then created from the DEM using the ArcGIS Contour tool.This data is made available via the Texas Natural Resource Information System:https://tnris.org/data-catalog/entry/capcog-2008-140cm/The 2008 LIDAR data was used to describe the elevation of the study sites at the Camp Swift Fire Experiment 2014. The raw LIDAR data was converted to a digital elevation model at 1 meter resolution using Lp360. This aspect dataset was created using the ArcGIS Aspect tool. The Camp Swift Fire Experiment 2014 consisted of three fires ignited in burn blocks of dimensions 100 meters (m) by 100 m on January 15, 2014. Fires were ignited on relatively flat areas of grass vegetation in moderate winds. Measurements around the three burn blocks began on January 14, 2014 and continued until shortly after completion of the three burns on January 15, 2014. The objective of the research burns was to create a dataset comprised of ground based and remote sensing measurements. Full details on the Camp Swift Fire Experiment 2014 can be accessed at through the "Camp Swift Fire Experiment 2014: Integrated Data Quality Assessment" story map. The full set of published data is contained on the United States Department of Agriculture Forest Service Research Data Archive.

Ground surface elevations extracted from TNRIS 2009 LIDAR flight for the Tarrant County area. Data processed by Halff Associates, Inc. for the purposes of generating an ESRI Terrain dataset and 2-ft contours

This layer is sourced from mapit.fortworthtexas.gov.

This dataset is part of the larger data collection, “Aerial imagery object identification dataset for building and road detection, and building height estimation”, linked to in the references below and can be accessed here: https://dx.doi.org/10.6084/m9.figshare.c.3290519. For a full description of the data, please see the metadata: https://dx.doi.org/10.6084/m9.figshare.3504413.

Imagery data from the United States Geological Survey (USGS); building and road shapefiles are from OpenStreetMaps (OSM) (these OSM data are made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/); and the Lidar data are from U.S. National Oceanic and Atmospheric Administration (NOAA), the Texas Natural Resources Information System (TNRIS).

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/.

The Kerrville 2019 2-ft Contour is intended to be used for general reference and visualization, and is not a substitute for an on-the-ground survey conducted by, or under the supervision of, a registered professional land surveyor.The two foot contours were derived from 2019 lidar data. The lidar was filtered to ground points only and exported to a multipoint dataset. The multipoint dataset, breaklines, and project extent were used to create a terrain dataset. A digital elevation model (DEM) was created from the terrain dataset with a 10-ft cell size. The 10-ft DEM was smoothed using focal statistics by averaging a 3x3 cell sized rectangular area across the entire DEM. Contours were created from the smoothed DEM at a two foot interval with a base elevation of 1,500 feet. Contours smaller than 39.5-ft were removed and contours completely within waterbodies were removed. The contours were then split into 20 rows by 10 columns to improve performance. Then the contours were run through a smoothing process to remove sharp bends in the lines without affecting the general location of the lines. Index intervals were calculated for 10-ft, 20-ft, 50-ft, and 100-ft. Finally the contours were projected to the NAD 1983 (2011) State Plane Texas S Central horizontal coordinate system and the NAVD88 (height) (ftUS) vertical coordinate system.The USGS lidar project covers portions of 45 counties in the central to coastal regions of Texas. The acquisition was conducted from January 4, 2019, through February 20, 2019. Fugro served as the prime contractor for the project and was responsible for planning, acquiring, processing, and producing derivative products of high resolution lidar data (QL2) over the project area. Further details regarding this acquisition can be found by downloading the USGS 2019 Hurricane Project Reports from the TNRIS DataHub website.

This layer contains the 1 foot intermediate contours for the City of Round Rock. Contours are lines of elevation. Intermediate contour lines are shown between index contour lines and show an equal rate of change in elevation between index contour lines. Derived from the StratMap 2017 Central Texas Lidar Project.The project AOI (~1,340 DO4Q tiles) resides in the Central Texas region around the I-35 corridor from Williamson County to Hays County. The AOI includes metropolitan areas as well as various vegetation classifications spanning farmland to dense forest. The data acquired is part of an ongoing geospatial data collection program by the State of Texas to support regional and local mapping needs. The products acquired by this project are made available in the public domain through the Texas Natural Resources Information System (TNRIS) for use by government entities and the public.

This dataset is part of the larger data collection, “Aerial imagery object identification dataset for building and road detection, and building height estimation”, linked to in the references below and can be accessed here: https://dx.doi.org/10.6084/m9.figshare.c.3290519. For a full description of the data, please see the metadata: https://dx.doi.org/10.6084/m9.figshare.3504413.

Imagery data from the United States Geological Survey (USGS); building and road shapefiles are from OpenStreetMaps (OSM) (these OSM data are made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/); and the Lidar data are from U.S. National Oceanic and Atmospheric Administration (NOAA), the Texas Natural Resources Information System (TNRIS).

This dataset is part of the larger data collection, “Aerial imagery object identification dataset for building and road detection, and building height estimation”, linked to in the references below and can be accessed here: https://dx.doi.org/10.6084/m9.figshare.c.3290519. For a full description of the data, please see the metadata: https://dx.doi.org/10.6084/m9.figshare.3504413.

Imagery data from the United States Geological Survey (USGS); building and road shapefiles are from OpenStreetMaps (OSM) (these OSM data are made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/); and the Lidar data are from U.S. National Oceanic and Atmospheric Administration (NOAA), the Texas Natural Resources Information System (TNRIS).

This dataset is part of the larger data collection, “Aerial imagery object identification dataset for building and road detection, and building height estimation”, linked to in the references below and can be accessed here: https://dx.doi.org/10.6084/m9.figshare.c.3290519. For a full description of the data, please see the metadata: https://dx.doi.org/10.6084/m9.figshare.3504413.

Imagery data from the United States Geological Survey (USGS); building and road shapefiles are from OpenStreetMaps (OSM) (these OSM data are made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/); and the Lidar data are from U.S. National Oceanic and Atmospheric Administration (NOAA), the Texas Natural Resources Information System (TNRIS).

The Camp Swift Fire Experiment 2014 consisted of three fires ignited in burn blocks of dimensions 100 meters (m) by 100 m on January 15, 2014. Fires were ignited on relatively flat areas of grass vegetation in moderate winds. Measurements around the three burn blocks began on January 14, 2014 and continued until shortly after completion of the three burns on January 15, 2014. The objective of the research burns was to create a dataset comprised of ground based and remote sensing measurements. This web map portrays percent slope derived from Light Detection and Ranging (LIDAR) data from 2008 acquired by the Texas Natural Resources Information System (TNRIS).Full details on the Camp Swift Fire Experiment 2014 can be accessed through the "Camp Swift Fire Experiment 2014: Integrated Data Quality Assessment" story map. The full set of published data is contained on the United States Department of Agriculture Forest Service Research Data Archive.

This dataset is part of the larger data collection, “Aerial imagery object identification dataset for building and road detection, and building height estimation”, linked to in the references below and can be accessed here: https://dx.doi.org/10.6084/m9.figshare.c.3290519. For a full description of the data, please see the metadata: https://dx.doi.org/10.6084/m9.figshare.3504413.

Imagery data from the United States Geological Survey (USGS); building and road shapefiles are from OpenStreetMaps (OSM) (these OSM data are made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/); and the Lidar data are from U.S. National Oceanic and Atmospheric Administration (NOAA), the Texas Natural Resources Information System (TNRIS).