59049 Data Set Published / External 49404 DEMs - partner (no harvest) Project Completed 2017 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 approximately 1.130 square miles. The DEM has 50 cm horizontal resolution, is in UTM Zone 15 projection, horizontal datum is the North American Datum of 1983 (NAD83 (2011)), vertical datum is North American Vertical Datum of 1988 (NAVD88) using the latest geoid (Geoid12b) for converting ellipsoidal heights to orthometric heights. Units - Meters Sanborn Map Company was contracted by Texas Water Development Board (TWDB) in cooperation with the Trinity River Authority (TRA) to perform 2017 LiDAR aerial surveys of Texas coastal area of about 1130 square miles. Collections was completed utilizing multi-return systems, Light Detection and Ranging (LiDAR) data in the form of 3-dimensional positions of a dense set of mass points between February 22nd and March 23rd, 2017. ALS70 LiDAR was flown to produce four (4) points and eight (8) points per square meter return density or 0.5 meters and 0.35 meters respectively Nominal Point Spacing (NPS) Note, The Eastern Block covers approximately 841 square miles, including the cities of Beaumont, Port Arthur, and Nederland in southeast Texas. This point cloud AOI was collected to meet the density of 4 points per meter. It is linked in the 'Related Items' section, below. To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments, and hydrologic modeling. LAS and bare earth DEM data products are suitable for 1 foot contour generation. USGS LiDAR Base Specification 1.2, QL2. Project Projection, Datums and Units. Projection - UTM Zone 15. Horizontal datum - North American Datum of 1983 (NAD83 (2011)). Vertical datum - North American Vertical Datum of 1988 (NAVD88) using the latest geoid (Geoid12b) for converting ellipsoidal heights to orthometric heights. Units - Meters Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION Theme ISO 19115 Topic Category elevation Spatial Global Change Master Directory (GCMD) Location Keywords CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA Spatial Global Change Master Directory (GCMD) Location Keywords CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > TEXAS Spatial Global Change Master Directory (GCMD) Location Keywords VERTICAL LOCATION > LAND SURFACE Spatial Global Change Master Directory (GCMD) Location Keywords VERTICAL LOCATION > SEA FLOOR Instrument Global Change Master Directory (GCMD) Instrument Keywords LIDAR > Light Detection and Ranging Platform Global Change Master Directory (GCMD) Platform Keywords Airplane > Airplane Spatial Global Change Master Directory (GCMD) Location Keywords Continent > North America > United States Of America > Southeast Spatial Global Change Master Directory (GCMD) Location Keywords Continent > North America > United States Of America > U.S. Coastline Office for Coastal Management Charleston SC Data Set Elevation Unknown Model (digital) USGS Base Specification 1.2 The digital data have been tested and their documentation carefully reviewed. However, the end user and its representatives make no warranty or representation, either expressed or implied, with respect to the digital data and their documentation, their quality, performance, merchantability, or fitness for a particular purpose. The digital data are distributed on "as is" basis, and the user assumes all risk to their quality, the results obtained from their use, and the performance of the data. In no event will the end user or its representatives be liable for any direct, indirect, special, incidental or consequential damages resulting from and defect in the State of Texas or in their documentation. This disclaimer of warranty is exclusive and in lieu of all others, oral or written, express or implied. No agent or employee is authorized to make any modification, extension, or addition to this warranty. Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners State of Texas Data Steward 2020 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Distributor 2020 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Metadata Contact 2020 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Point of Contact 2020 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Ground Condition -94.917 -94.5768 30.1 29.597 Range 2017-02-22 2017-03-04 Lidar acquisition dates .5 Meter No Yes No No No No Unclassified Data is available online for bulk or custom downloads None 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. https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9054 2020 Organization NOAA Office for Coastal Management Customized Download Create custom data files by choosing data area, product type, map projection, file format, datum, etc. Zip Zip https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/TNRIS_JeffLibCham_50cm_DEM_2018_9054/index.html 2020 Organization NOAA Office for Coastal Management Bulk Download Simple download of data files. GeoTIFF GeoTIFF https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9040/supplemental/extent_2018_tx_jeff_lib_cham_m9040.kmz Browse graphic Browse Graphic KML This graphic displays the footprint for this lidar data set. https://coast.noaa.gov/dataviewer/ NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) Online Resource HTML 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. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9040/supplemental/580-17-SOW0039_LiDAR_CoastalTexas_GroundControl_SurveyReport.pdf Dataset report Online Resource PDF Link to data set report. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9040/supplemental/580170040_FinalQAQCReport_20180404.pdf Dataset report Online Resource PDF Link to data set report. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9040/supplemental/SM580170040_CheckpointSurveyReportDeliverable_20170417.pdf Dataset report Online Resource PDF Link to data set report. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9040/supplemental/TX_Coastal_Acq_Parameters.pdf Dataset report Online Resource PDF Link to data set report. Microsoft Windows 7; ESRI ArcCatalog 9.3.1.1850 This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 24.1 cm RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 47.2 cm at a 95% confidence level. Quantitative value: 0.241m Horizontal error in lidar derived elevation data is largely a function of positional error as derived from the Global Navigation Satellite System (GNSS), attitude (angular orientation) error (as derived from the INS) and flying altitude; and can be estimated based on these parameters. This data set was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10 cm RMSEz Vertical Accuracy Class. The Western Block AOI actual NVA accuracy was found to be RMSEz = 8.2 cm, equating to +/- 16.1 cm at 95% confidence level. Actual VVA accuracy was found to be +/- 12.5 cm at the 95th percentile. The overall NVA accuracy for the entire dataset is RMSEz = 9.992. (The Eastern Block actual NVA accuracy was found to be RMSEz = 10.3 cm, equating to +/- 20.2 cm at 95% confidence level. Actual VVA accuracy was found to be +/- 28.9 cm at the 95th percentile). LiDAR data is collected for the project area. Post processing of the simultaneously acquired GPS/INS is performed and applied to the laser returns to output a point cloud in the specified project coordinate system and datums. The point cloud data is then subjected to automated classification routines to assign all points in the point cloud to ground, water, overlap and unclassified point classes. Once clean bare earth points are established, all products are created. LiDAR data is collected within the project area and processed. Control points were used during calibration to verify accuracy. Yes Unknown Yes NCEI-CO Data is backed up to tape and to cloud storage. Classified lidar Organization Sanborn Map Company Inc. Originator Discrete 2017 1200 The classified lidar point cloud is used to derive various data products such as, but not limited to, bare earth gridded DEM, triangulated irregular networks (TIN), contours, digital surface models (DSM). The output format is fully compliant LAS v1.4, Point Record Format 6 Ground control Organization Sanborn Map Company Inc. Originator 2017-01-01 Discrete 2017 Targeted ground control is used to create a digital control file and control report as well as QC check of LiDAR accuracy. Predefined points (NGS when available) within the project area are targeted. LiDAR Data Organization Sanborn Map Company Inc. Originator Discrete 2017 Aerial LiDAR and GPS/IMU data are recorded for the defined project area at an altitude, flight speed, scanner swath width and scanner pulse frequency to achieve the design goals of the project. Post processed GPS/INS Organization Sanborn Map Company Inc. Originator Discrete 2017 1200 Post processed GPS/INS is applied to the lidar point data to georeference each point in the project coordinate system Post processed lidar Organization Sanborn Map Company Inc. Originator Discrete 2017 1200 The post processed lidar data has been projected and oriented in the specified coordinate system as an un-classified point cloud. Tile Definition Organization Sanborn Map Company Inc. Originator Discrete 2017 1200 The tile definition defines discreet non-overlapping rectangular areas used as cut lines to break up the large classified lidar dataset into smaller, more manageable data tiles. Each tile is 1mi x 1mi in dimension. 1 8PPM LiDAR data was collected over the West Texas AOI. Multiple returns were recorded for each laser pulse along with an intensity value for each return. The data acquisition occurred in ten missions between March 15th and March 23rd, 2017. During the LIDAR campaign, the Sanborn field crew conducted a GPS field survey to establish final coordinates of the ground base stations for final processing of the base-remote GPS solutions. 2017-01-01T00:00:00 LiDAR Data 2 Airborne GPS data was differentially processed and integrated with the post processed IMU data to derive a Smoothed Best Estimate of Trajectory (SBET). IMU data provides information concerning roll, pitch and yaw of collection platform during collection event. IMU information allows the pulse vector to be properly placed in 3D space allowing the distance from the aircraft reference point to be properly positioned on the elevation model surface. The SBET was used to reduce the LiDAR slant range measurements to a raw reflective surface for each flight line. Airborne GPS is differentially processed using the Inertial Explorer software by Leica Geosystems. 2017-01-01T00:00:00 3 Leica's CloudPro software then combined the SBET and Raw Laser (.scn) files to produce raw point cloud swath data in LAS v1.4 format. 2017-01-01T00:00:00 4 The raw swath point cloud data was then calibrated using TerraMatch, a TerraSolid software, to correct relative bias in conjoining swaths that include roll, pitch, heading, Scale, and elevation. The swath data is then compared against the calibration control points and adjusted vertically to exceed the vertical accuracy requirements for the project. 2017-01-01T00:00:00 5 The georeferenced lidar data is then classified and edited in Terrasolid Terrascan software. Data is classified to produce: Class 1: unclassified, Class 2: ground, Class 3: low veg, Class 4: med veg, Class 5: high veg, Class 6: building, Class 7: low point, Class 9: water, Class 10: ignored ground, Class 13: bridge deck, Class 14: culverts 2017-01-01T00:00:00 6 The NOAA Office for Coastal Management (OCM) received the files in the proprietary ERDAS IMG format. The files were converted to floating point GeoTIFF format in vertical meters using gdal_translate from GDAL version 3.0.2. Organization Office for Coastal Management OCM https://ror.org/05v14bq57 2234 South Hobson Avenue Charleston SC 29405-2413 https://www.coast.noaa.gov/ 59008 Data Set Cross Reference Link to metadata record for the Eastern Block. gov.noaa.nmfs.inport:59049 Blake Waring 2020-03-17T11:05:43 SysAdmin InPortAdmin 2026-03-04T19:17:17 2024-01-10 OCM Partners OCMP 1002 Public No No 2022-03-16 1 Year 2023-03-16