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/]

The City of Longview is sharing the map service URL found at the TNRIS DataHub, https://data.tnris.org/collection/54abd8ee-3a1a-4206-8b39-742f13ec8ad6, under the Public Domain (Creative Commons CC0) license.

After storms, users document high water marks in and near bayous and tributaries, storm surge high water marks along the coast, and the approximate number of structures that were flooded. Most of the information in this dataset comes from the Harris Flood Control District; additional information is the result of Texas Geographic Information Office (TxGIO formerly TNRIS) research.

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 resource links to the Texas Address and Base Layers Story Map (Esri ArcGIS Online web app) [1] that provides a graphical overview and set of interactive maps to download Texas statewide address points, as well as contextual map layers including roads, rail, bridges, rivers, dams, low water crossings, stream gauges, and others. The addresses were compiled over the period from June 2016 to December 2017 by the Center for Water and the Environment (CWE) at the University of Texas at Austin, with guidance and funding from the Texas Division of Emergency Management (TDEM). These addresses are used by TDEM to help anticipate potential impacts of serious weather and flooding events statewide.

For detailed compilation notes, see [2]. Contextual map layers will be found at [3] and [4].

November 2023 update: in 2019, TNRIS took over maintenance of the Texas Address Database, which is now updated annually as part of the StratMap program [5]. Also, TNRIS changed its name this year to the Texas Geographic Information Office (TxGIO). The StratMap and DataHub download sites still use the tnris.org domain but that may change .

References [1] Texas Address and Base Layers story map [https://arcg.is/19PWu1] [2] Texas-Harvey Basemap - Addresses and Boundaries [https://www.hydroshare.org/resource/3e251d7d70884abd928d7023e050cbdc/] [3] Texas Basemap - Hydrology Map Data [https://doi.org/10.4211/hs.adb14c9c073e4eee8be82fadb21a0a93/] [4] Texas Basemap - Transportation Map Data [https://www.hydroshare.org/resource/ab3a463be73c4fd988a492b5d1b4c573/] [5] TNRIS/TxGIO StratMap Address Points data downloads [https://tnris.org/stratmap/address-points/]

Downloaded from: https://data.tnris.org/collection/117cf9e1-3b1e-48f2-97a3-47020d871035Map & Data DisclaimerThe University of Texas (UT) 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.UT gives no warranty, express or implied, as to the accuracy, reliability, utility or completeness of this information. The user of this map product assumes all responsibility and risk for the use of the product. UT 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.

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.

The geographic extent of a local government (City, Village, Township).Data downloaded from TNRIS 07/2014 (the data sources for each city polygon vary. Sources used were the Texas Department of Transportation data and local data from the council of governments or its component governments).The City of Richardson boundary replaced the given Richardson boundary in the downloaded data and then the boundaries of the cities touching Richardson were topologically cleaned up.Cities were selected within a distance of 75 miles from Richardson were kept and the others were deleted.Local FIPS codes were acquired from the census website and added to the attribute table. http://www.census.gov/census2010/xls/fips_codes_website.xlsMetadata edited 10/2014

Vector dataset provides derived average annual precipitation according to PRISM analytical model using point precipitation and elevation data for the 30-year period of 1981-2010. The U.S. Department of Agriculture, Service Center Agencies should be acknowledged as the data source in products derived from these data. This data set is not designed for use as a primary regulatory tool in permitting or citing decisions, but may be used as a reference source. The data set for the NCTCOG region was downloaded from the TNRIS website for the state of Texas and clipped to our 16-county region.