Tiffany Caudle 20250731 2024 Texas Gulf Coast Landward Dune Boundary first vector digital data Austin, TX Bureau of Economic Geology, The Univeristy 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. This dataset contains 2024 boundary for the landward extent of the foredunes for the Texas Gulf coast (mouth of Rio Grande to Sabine Pass) that has been created by manually digitizing dune features 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, potential vegetation line, and landward dune boundary for determining shoreline change and beach/dune analysis. 20240218 20240313 ground condition Complete None planned -97.3826 -93.8382 29.6847 25.9431 Coastal and Marine Ecological Classification Standard dune boundary Common geographic areas Texas Bolivar Peninsula Galveston Island Follet's Island Matagorda Peninsula Matagorda Island San Jose Island Mustang Island Padre Island South Padre Island None None 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 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. dataset complete Complete 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 2024 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. This line was manually digitized at a scale of 1:1000 using digital elevation models created from lidar data collected between February 19 and March 13, 2024. The foredune complex was defined as the seaward most, continuous feature with an elevation of at least 2 m. If a single continuous feature is not present dune clusters are considered as part of the complex as long as they are arranged quasi-perpendicular to the shore, close together and/or connected. In areas where dunes are not present (e.g. washover areas) the dune boundary is mapped as the landward contour equivalent to the height of the vegetation line. Raster files representing the slope and hillshade of the DEMs were used to help the user find the extent of the dune boundary by visualizing the landward slope of dune features. In addition, 2022 NAIP aerial imagery was used to locate the extent of vegetation and to help identify man-made structures. Man- made structures are not considered to be part of the foredune complex, the dune boundary is placed seaward of buildings or seawalls. Adjacent line segments were aggregated using ArcGIS "Unsplit Line" function. withheld 20241215 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 0.0197964747 0.0222498030 Decimal seconds NAD83_National_Spatial_Reference_System_2011 GRS 1980 6378137.0 298.257222101 landwardDuneBdry_beg2024_v1.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 Year Year of source material DEG 2024 2024 Year Integer 4 10 0 Shape.STLength() Shape.STLength() Double 0 0 0 Landward dune boundary attribute fields Bureau of Economic Geology 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 Downloadable Data 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 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 FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time http://www.esri.com/metadata/esriprof80.html ESRI Metadata Profile Esri ArcGIS 13.5.0.57366 backbeach_2024 backbeach_2024 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 15271400 20250923 15271400 20250919 17034300 1.0 FALSE Enterprise Geodatabase Feature Class dataset EPSG 6.2(3.0.1) 0 20250923