gov.noaa.nmfs.inport:63297 eng UTF8 dataset Elevation National Geodetic Survey resourceProvider NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact 2026-03-04T19:17:26 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) EPSG::6319 2018-2019 NOAA NGS Topobathy Lidar Post Hurricane Harvey: Galveston to Corpus Christi, TX 2021-01-04 publication NOAA/NMFS/EDM 63297 https://www.fisheries.noaa.gov/inport/item/63297 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information National Geodetic Survey 1315 East-West Hwy Silver Spring MD 20910 https://geodesy.noaa.gov/ WWW:LINK-1.0-http--link National Geodetic Survey Website Website listed for National Geodetic Survey information originator https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9215/supplemental/TX1803_TB_C_Topobathy_Lidar_Project_Report.pdf WWW:LINK-1.0-http--link Report Acquisition and Processing Report download https://coast.noaa.gov/dataviewer/ WWW:LINK-1.0-http--link NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer. download These data were collected by Leading Edge Geomatics using a Leica Chiroptera II Bathymetric & Topographic Sensor. The data were acquired from October 22, 2018 through May 31, 2019. The data include topobathy data in LAS 1.4 format classified as created, unclassified (1); ground (2); noise (low or high) (7); bathymetric bottom (40); water surface (41); derived water surface (42); submerged object (43); IHO S-57 object (44); no bathymetric bottom found (45); and bathymetric bottom temporal changes (46) in accordance with project specifications. The project consists of approximately 942 square miles of data along the Gulf shore of Texas from Galveston to Corpus Christi. This full project delivery consists of 3813 1000 m x 1000 m lidar tiles in five blocks: Block 01 delivery consists of 322 1000 m x 1000 m lidar tiles. Block 02 delivery consists of 871 1000 m x 1000 m lidar tiles. Block 03 delivery consists of 789 1000 m x 1000 m lidar tiles. Block 04 delivery consists of 557 1000 m x 1000 m lidar tiles. Block 05 delivery consists of 1274 1000 m x 1000 m lidar tiles. The eastern coastline of Texas has been identified as having critical topographic and bathymetric data gaps by NOAA. This lidar data will fill those critical gaps. National Oceanic and Atmospheric Administration (NOAA), National Geodetic Survey (NGS), Remote Sensing Division (RSD), Coastal Mapping Program (CMP) completed NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information custodian notPlanned https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9215/supplemental/extent_ngs_topobath_postHarvey_tx_m9215.kmz This graphic displays the footprint for this lidar data set. KML EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION theme Global Change Master Directory (GCMD) Science Keywords 17.0 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA VERTICAL LOCATION > LAND SURFACE VERTICAL LOCATION > SEA FLOOR place Global Change Master Directory (GCMD) Location Keywords 20.8 LIDAR > Light Detection and Ranging instrument Global Change Master Directory (GCMD) Instrument Keywords 17.2 Airplane > Airplane platform Global Change Master Directory (GCMD) Platform Keywords 17.2 beach erosion theme DOC/NOAA/NOS/NGS > National Geodetic Survey, National Ocean Service, NOAA, U.S. Department of Commerce dataCentre Global Change Master Directory (GCMD) Data Center Keywords 2017-04-24 publication 8.5 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 22. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian NGS Lidar project InPort otherRestrictions Cite As: National Geodetic Survey, [Date of Access]: 2018-2019 NOAA NGS Topobathy Lidar Post Hurricane Harvey: Galveston to Corpus Christi, TX [Data Date Range], https://www.fisheries.noaa.gov/inport/item/63297. NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose. otherRestrictions Access Constraints: None otherRestrictions Use Constraints: Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations. otherRestrictions Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners unclassified NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 63297 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ngs/dmp/pdf/63297.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference eng; US elevation OS Independent -96 -95.33 28.571 28.92 | Currentness: Ground Condition 2018-10-22 2019-05-31 -94.78 -94.42 29.32 29.57 | Currentness: Ground Condition 2018-10-22 2019-05-31 -95.39 -94.68 28.89 29.41 | Currentness: Ground Condition 2018-10-22 2019-05-31 -97.244 -96.89 27.65 28.179 | Currentness: Ground Condition 2018-10-22 2019-05-31 -96.89 -95.98 27.99 28.68 | Currentness: Ground Condition 2018-10-22 2019-05-31 The full workflow used for this project is found in the final project report submitted to NOAA. Zip Zip LAS/LAZ - LASer Zip NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information distributor https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9215 WWW:LINK-1.0-http--link Customized Download Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9215/ WWW:LINK-1.0-http--link Bulk Download Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum. download dataset Accuracy All checkpoints located in non-vegetated terrain were used to compute the Non-vegetated Vertical Accuracy (NVA). Project specifications required a NVA of 19.6 cm at the 95% confidence level based on RMSEz (10 cm) x 1.9600. All checkpoints located in vegetated terrain were used to compute the Vegetated Vertical Accuracy (VVA). Project specifications required a VVA of 30.0 cm based on the 95th percentile. All checkpoints located in bathymetric areas were used to compute an accuracy for the bathymetric data. Project specifications required bathymetric data to meet or exceed 35.3 cm at the 95% confidence level based on RMSEz (18.5 cm) x 1.9600. Horizontal Positional Accuracy Only checkpoints photo-identifiable in the intensity imagery can be used to test the horizontal accuracy of the lidar. Photo-identifiable checkpoints in intensity imagery typically include checkpoints located at the ends of paint stripes on concrete or asphalt surfaces or checkpoints located at 90 degree corners of different reflectivity, e.g. a sidewalk corner adjoining a grass surface. The xy coordinates of checkpoints, as defined in the intensity imagery, are compared to surveyed xy coordinates for each photo-identifiable checkpoint. These differences are used to compute the tested horizontal accuracy of the lidar. As not all projects contain photo-identifiable checkpoints, the horizontal accuracy of the lidar cannot always be tested. Lidar vendors calibrate their lidar systems during installation of the system and then again for every project acquired. Typical calibrations include cross flights that capture features from multiple directions that allow adjustments to be performed so that the captured features are consistent between all swaths and cross flights from all directions. Horizontal positional accuracy is achieved through rigorous processing of airborne GPS and IMU, use of control, and calibration procedures. This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 41 cm RMSEx/RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 1 meter at a 95% confidence level. Vertical Positional Accuracy This lidar dataset was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10 cm RMSEz Vertical Accuracy Class. Actual NVA accuracy was found to be RMSEz= 7.1 cm, equating to +/- 13.8 cm at 95% confidence level. This lidar dataset was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10 cm RMSEz Vertical Accuracy Class. Actual VVA accuracy was found to be +/- 26.4 cm at the 95th percentile. The 5% outliers consisted of 3 checkpoints with DZ values larger than the 95th percentile. The larger DZ values were recorded at 37.9 cm, 30.0 cm, and 27.7 cm. This lidar dataset was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 18.5 cm RMSEz Vertical Accuracy Class. Actual Bathymetric accuracy was found to be RMSEz = 14.9 cm, equating to +/- 29.2 cm at 95% confidence level. Comparability The vertical accuracy of the lidar was tested by Dewberry with 134 independent survey checkpoints. The survey checkpoints are located in areas of non-vegetated terrain, including bare earth, open terrain, and urban terrain (72), vegetated terrain, including forest, brush, tall weeds, crops, and high grass (50), and submerged bottom areas (12). The vertical accuracy is tested by comparing survey checkpoints to a triangulated irregular network (TIN) that is created from the lidar ground and submerged bottom points. Checkpoints are always compared to interpolated surfaces created from the lidar point cloud because it is unlikely that a survey checkpoint will be located at the location of a discrete lidar point. The 134 survey checkpoints were not evenly distributed throughout the project area. The lack of municipal development surrounding Matagorda Bay hindered accessibility to this area. Completeness Report Data covers the project boundary. Conceptual Consistency Not applicable Data for the coastline for the TX1803 topobathy project was acquired by Leading Edge Geomatics using a Leica Chiroptera II Bathymetric and Topographic lidar sensor. All delivered lidar data is referenced to: Horizontal Datum-NAD83 (2011) epoch: 2010 Projection-UTM Zone 14 North Projection-UTM Zone 15 North Horizontal Units-meters Vertical Datum-NAD83 (2011) Vertical Units-meters This dataset encompasses 3813 1000 m x 1000 m tiles. Both green lidar data and NIR lidar data were acquired. Leading Edge Geomatics acquired, calibrated and performed the refraction correction to the lidar data. 2019-12-01T00:00:00 National Geodetic Survey processor Dewberry received the calibrated green and NIR data and verified complete coverage. Relative accuracy of the green swaths compared to overlapping and adjacent green swaths as well as the relative accuracy of green swaths compared to overlapping and adjacent NIR swaths were verified through the use of Delta-Z (DZ) orthos created in GeoCue software. Visual inspections using z-range rasters were used to verify intraswath or within a swath relative accuracy. Profiles of elevated planar features, such as roofs, were used to verify horizontal alignment between overlapping swaths. Dewberry then verified absolute vertical accuracy of the swath data prior to full-scale production. Dewberry used algoritms in TerraScan to create the intial ground/submerged topography surface. Dewberry used rasterized aggregate extents of refracted points to create automated, smoothed 2-D refraction extent vectors with LAStools and ArcGIS. Light travels at different speeds in air versus water and its speed and direction of travel change when it enters the water column. The refraction correction process accounts for this difference by adjusting the depth (distance traveled) and horizontal position (change of angle/direction) of the lidar points acquired within water. These refraction extents delineate areas where the refraction correction was applied to the lidar data by Leica's automated refraction correction software based on the software's detection of water. 2019-12-01T00:00:00 National Geodetic Survey processor All lidar data was peer-reviewed. Dewberry's QAQC also included creating void polygons for use during review. All necessary edits were applied to the dataset. GeoCue software was used to update LAS header information, including all projection and coordinate reference system information. The final lidar data are in LAS format 1.4 and point data record format 6. The final classificaton scheme is as follows: 0-Created, never classified 1-Unclassified 2-Ground 7-Noise 40-Bathymetric bottom 41-Water surface 42-Derived water surface 43-Submerged object, not otherwise specified 44-International Hydrograpic Organization (IHO) S-57 object 45-No bottom found 46-Temporal change All data was then verified by an independent QC department within Dewberry. The independent QC was performed by analysts who do not perform manual classification or editing. The independent QC involved quantitative and qualitative reviews. 2019-12-01T00:00:00 National Geodetic Survey processor The NOAA Office for Coastal Management (OCM) received files in laz format. The files contained lidar elevation and intensity measurements. The data were in UTM Zone 14 and UTM Zone 15 coordinates and ellipsoid elevations in meters. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. Converted from UTM Zone 14 and 15 to geographic coordinates 2. Sorted by gps time. 3. Moved data from class 46 to class 22 The final classification scheme is as follows: 1 - Unclassified 2 - Ground 7 - Noise 22 - Temporal Exclusion 40 - Bathymetric Bottom or Submerged Topography 41 - Water Surface 42-Derived water surface 43 - Submerged feature 45 - Water Column Office for Coastal Management processor Acquisition Leading Edge Geomatics originator Data Processing Dewberry originator