Tiffany Caudle 20250731 2024 Texas Gulf Coast Shoreline vector digital data Austin, TX Bureau of Economic Geology, The Univeristy of Texas at Austin Paine, J. G., Caudle, T., and Andrews, J. R., 2025, Shoreline movement and beach and dune volumetrics along the Texas Gulf Coast, 1930s to 2024: The University of Texas at Austin, Bureau of Economic Geology, final report prepared for the General Land Office under contract no. 22-138-000. This dataset contains the 2024 shoreline position for the Texas Gulf coast (mouth of Rio Grande to Sabine Pass) that has been created by extracting the 1.16 m NAVD88 elevation contour from Digital Elevation Models. The DEMs were created from lidar data collected between February 19 and March 13, 2024 using the Bureau of Economic Geology’s airborne mapping system (Chiroptera V) which can collect topographic lidar data, shallow bathymetric lidar data, and natural color/color infrared imagery. The Bureau of Economic Geology (BEG) at the University of Texas at Austin (UT) used airborne lidar (light detection and ranging) to provide terrain elevation data of the Texas Coast Shoreline. The purpose of this research effort is to create digital elevation models that will be used to map the position of the shoreline and landward dune boundary and calculate rates of shoreline movement and beach/dune volumetrics to be used for beach/dune analysis. 20240218 20240313 ground condition Complete None planned -97.3794 -93.8381 29.6847 25.9429 Coastal and Marine Ecological Classification Standard shoreline Common geographic areas Texas Bolivar Peninsula Galveston Island Follet's Island Matagorda Peninsula Matagorda Island San Jose Island Mustang Island Padre Island southern Padre Island None This dataset was created for the purpose of determining the 2024 shoreline position along the Gulf coast of Texas. Any conclusions drawn from analysis of this information are not the responsibility of the Bureau of Economic Geology or The University of Texas at Austin. Tiffany Caudle Bureau of Economic Geology, The Univeristy of Texas at Austin Research Scientist Associate mailing and physical
10100 Burnet Road, Building 130
Austin TX 78758 (512) 471-1534 tiffany.caudle@beg.utexas. edu Coastal Studies and Near Surface Observatory, Bureau of Economic Geology, The University of Texas at Austin Values in the data fields represent the best estimates available at the time of publication. topology test conducted to remove self-intersecting, self-overlapping, and line dangles (excluding ends of shoreline segments) Complete. Breaks in line segments represent tidal passes or rivers. Ground GPS surveys were conducted within the lidar survey area to acquire ground "truth" information. The ground survey points are estimated to have a vertical accuracy of 0.01-0.05m. Roads, which are open areas with an unambiguous surface, were surveyed using kinematic GPS techniques.Selected portions from each lidar data set were used to generate a 1m x 1m digital elevation model (DEM). Data from the ground surveys were superimposed on the lidar DEM and examined for any mismatch between the horizontal position of the ground GPS and the corresponding feature on the lidar DEM. Horizontal agreement between the ground kinematic GPS and the lidar was within the resolution of the 1m x 1m DEM. Further discussion can be found in: Paine, J. G., Caudle, T. L., Andrews, J. R., and Saylam, K., 2025, Shoreline movement and beach and dune volumetrics along the Texas Gulf Coast, 1930s to 2024: The University of Texas at Austin, Bureau of Economic Geology, final report prepared for the General Land Office under contract no. 22-138-000. Ground GPS surveys were conducted within the lidar survey area to acquire ground "truth" information. The ground survey points are estimated to have a vertical accuracy of 0.01-0.05m. Roads, which are open areas with an unambiguous surface, were surveyed using kinematic GPS techniques. A lidar data set was sorted to find data points that fell within 0.5m of a ground GPS survey point. The mean elevation difference between the lidar and the ground GPS was used to estimate and remove any elevation bias from the lidar. Bureau of Economic Geology, The University of Texas at Austin 20250701 2024 lidar digital elevation model raster digital data Austin, TX Bureau of Economic Geology, The University of Texas at Austin Paine, J. G., Caudle, T. L., Andrews, J. R., and Saylam, K., 2025, Shoreline movement and beach and dune volumetrics along the Texas Gulf Coast, 1930s to 2024: The University of Texas at Austin, Bureau of Economic Geology, final report prepared for the General Land Office under contract no. 22-138-000. Digital and/or Hardcopy 20240218 20240313 ground condition lidar DEM Lidar digital elevation models (DEMs) were created by combining data collected using the Bureau's Chiroptera V mapping system in combination with geodetic quality Global Positioning System (GPS) airborne and ground-based receivers. The 2024 shoreline position was extracted from lidar data acquired by the Bureau between February 18 and March 13, 2024. The GEOID18 model was applied to convert elevation values from Height Above the GRS80 Ellipsoid to elevations with respect to NAVD88. To determine the shoreline proxy elevation that best matches the wet-beach/dry-beach boundary at the time of the survey, we examined (1) the 2024 Bureau lidar data and aerial imagery; (2) previous Gulf shoreline positions, especially the 2019 position (1.15 m NAVD88); (3) beach profiles collected by Bureau researchers and students participating in the THSCMP; (4) GPS-based shoreline mapping conducted by THSCMP students; and (5) the 2022 and 2024 NAIP aerial imagery. Through analysis of wet-beach/dry-beach boundary elevations reported in Bureau- and THSCMP-collected beach profiles (1997-2024) and THSCMP winter and spring 2024 GPS mapped shoreline elevations extracted from the lidar DEMs, several elevation contours were examined to determine the elevation that best represents the shoreline position most consistent with historical mapping practices. A final shoreline position was extracted from the lidar-derived DEM at an elevation of 1.16 m (3.8 ft) NAVD88, which is equivalent to approximately 1 m (3.3 ft) msl. Using the most seaward, continuous contour of 1.16 m provided a consistent shoreline proxy feature between the lidar datasets and historical mapping practices. withheld 20250721 Tiffany Caudle Bureau of Economic Geology, The University of Texas at Austin mailing and physical
10100 Burnet Road, Building 130
Austin TX 78758 (512) 471-1534 tiffany.caudle@beg.utexas.edu Vector Simple FALSE 0 TRUE FALSE 0.0197964753 0.0222497668 Decimal seconds NAD83_National_Spatial_Reference_System_2011 GRS 1980 6378137.0 298.257222101 shoreline_beg2024_v2.shp Attribute Table Table containing attribute information associated with the data set. Producer Defined Feature Class 0 OBJECTID OBJECTID OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Shape type. Shape Geometry 8 0 0 Id segment number BEG 1 18 Id Integer 4 10 0 YEAR_ Year of source material BEG 2024 2024 YEAR_ Integer 4 10 0 SOURCE Number representing a source type Producer Defined 4 Shoreline derived from airborne lidar survey data. BEG 7 Shoreline derived from drone imagery or digital elevation model BEG SOURCE Integer 4 10 0 DATE_DSAS Date of shoreline position (MM/DD/YYYY) for change rate calculation BEG 02/19/2024 Producer defined 02/23/2024 Producer defined 02/27/2024 Producer defined 02/21/2024 Producer defined 02/22/2024 Producer defined 03/10/2024 Producer defined 03/06/2024 Producer defined 03/05/2024 Producer defined 02/28/2024 Producer defined 03/09/2024 Producer defined 03/12/2024 Producer defined 03/24/2024 Producer defined DATE_DSAS String 10 0 0 Shape.STLength() Shape.STLength() Double 0 0 0 Shoreline position attribute fields. Bureau of Economic Geology Bureau of Economic Geology, The University of Texas at Austin Jeffrey Paine or Tiffany Caudle mailing and physical
10100 Burnet Road, Building 130
Austin TX 78758 (512) 471-1534 tiffany.caudle@beg.utexas.edu These data are provided as a public service. Neither the authors nor the Bureau of Economic Geology, The University of Texas at Austin assume responsibility or liability for the use of the data contained herein, nor for decisions made on the basis of these data. 20250729 Tiffan Caudle The University of Texas at Austin, Bureau of Economic Geology mailing and physical
10100 Burnet Road, Building 130
Austin TX 78758 (512) 415-1534 tiffany.caudle@beg.utexas.edu FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 Esri ArcGIS 13.5.0.57366 shoreline_beg2024_v2 shoreline_beg2024_v2 002 Geographic GCS_WGS_1984 Angular Unit: Degree (0.017453) <GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.5.0'><WKT>GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433],AUTHORITY[&quot;EPSG&quot;,4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem> 20250923 09065600 20250923 09065600 20250919 17034400 1.0 FALSE Enterprise Geodatabase Feature Class dataset EPSG 6.2(3.0.1) 0 20250923