78540 la2018_cata_concord_dem_m13764 Data Set Published / External 49404 DEMs - partner (no harvest) Project Completed 2018 2025 The Digital Elevation Model data set consists of tiled LiDAR DEM Images. Each file contains a Raster Image of the Digital Elevation Model. The LA_Catahoula_Concordia_2017_D17 survey covers approximately 5,160 square miles located in the Catahoula, Concordia, Avoyelles, Point Coupee, St Martian parishes and in portions of St. Landry, Lafayette, Acadia, Vermillion and Iberia parishes in Louisiana. Ground Conditions: water at normal levels; no unusual inundation; no snow; leaf off. This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the GeoTIFF files hosted by USGS on Amazon Web Services. The USGS/NRCS contracted Digital Aerial Solutions, LLC to obtain professional services related to the planning, acquisition and development of Light Detection and Ranging (Lidar) data and derivative products. The task order is for a QL1 LiDAR survey to be collected over Catahoula and Concordia Parishes in Louisiana.The deliverable products would be used by the USGS/NRCS for conservation planning, design, research, floodplain mapping, wetlands identification, dam safety assessments, hydrologic modeling, and other environmental purposes. All Lidar data and associated products were acquired, calibrated, and used in the creation of Lidar derived products by Digital Aerial Solutions, LLC. Raster File Type = GeoTIFF Bit Depth/Pixel Type = 32-bit float Raster Cell Size = 0.5 Meters Interpolation or Resampling Technique = Bilinear Interpolation Required Vertical Accuracy = 19.6 cm NVA 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 > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM) 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 > LOUISIANA Spatial Global Change Master Directory (GCMD) Location Keywords VERTICAL LOCATION > LAND SURFACE Instrument Global Change Master Directory (GCMD) Instrument Keywords LIDAR > Light Detection and Ranging Platform Global Change Master Directory (GCMD) Platform Keywords Airplane > Airplane Office for Coastal Management Charleston SC Data Set Elevation As Needed Model (digital) None None, any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners. Digital Aerial Solutions, LLC, NRCS, USGS Data Steward 2025 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 2025 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 U.S. Geological Survey 12201 Sunrise Valley Drive Reston VA 20191 USA https://usgs.gov USGS Home Home page for USGS Online Resource Metadata Contact 2025 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 2025 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 -92.29 -91.29 31.98 29.88 Range 2018-01-24 2019-12-15 LA_Catahoula_Concordia_1 (D1, Work Unit 74197) Dec 2 - 15, 2019 LA_Catahoula_Concordia_2 (D2, Work Unit 208932) Jan 24, 2018 - Dec 15, 2019 LA_Catahoula_Concordia_3 (D3, Work Unit 211679) Oct 6 - Nov 21, 2019 Yes No No No No Vertical EPSG:5703 NAVD88 height North American Vertical Datum 1988 1 Gravity-related height H metre up Projected EPSG:6344 NAD83(2011) / UTM zone 15N NAD83 (National Spatial Reference System 2011) GRS 1980 6378137 298.257222101 NAD83(2011) UTM zone 15N Transverse Mercator Latitude of natural origin 0° 0' 0" N Longitude of natural origin 93° 0' 0" W Scale factor at natural origin 0.9996 False easting 500000 metre False northing 0 metre 1 Easting E metre east 2 Northing N metre north Custom Unclassified Data is available online for bulk and 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=13764/details/13764 2025 Organization NOAA Office for Coastal Management Customized Download Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base. Not Applicable Zip https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Catahoula_Concordia_2017_D17/ 2020 Organization U.S. Geological Survey Bulk Download Bulk download of data files in GeoTIFF format, UTM Zone 15N NAD83(2011) meters coordinates and NAVD88 (Geoid12B) elevations in meters. GeoTIFF 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://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/LA_Catahoula_Concordia_2017_D17/ USGS Additional Info Online Resource Link to the reports, breaklines, metadata, and spatial metadata. https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/LA_Catahoula_Concordia_2017_D17/LA_Catahoula_Concordia_2_2017/reports/project_report/LA_Catahoula_Concordia_2017_D17_LiDAR_Report.pdf Lidar Report Online Resource pdf Link to the lidar report https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/LA_Catahoula_Concordia_2017_D17/USGS_LA_Catahoula_Concordia_2017_D17_Project_Report.pdf USGS Project Report Online Resource pdf Link to the USGS Project Report that provides information about the project, vertical accuracy results, and the point classes and sensors used. https://s3-us-west-2.amazonaws.com/usgs-lidar-public/LA_Catahoula_Concordia_1_2017/ept.json USGS Entwine Point Tile (EPT) - LA_Catahoula_Concordia_1 Online Resource json Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud. https://s3-us-west-2.amazonaws.com/usgs-lidar-public/LA_Catahoula_Concordia_2_2017/ept.json USGS Entwine Point Tile (EPT) - LA_Catahoula_Concordia_2 Online Resource json Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud. https://s3-us-west-2.amazonaws.com/usgs-lidar-public/LA_Catahoula_Concordia_3_2017/ept.json USGS Entwine Point Tile (EPT) - LA_Catahoula_Concordia_3 Online Resource json Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud. https://usgs.entwine.io/data/view.html?r=[%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/LA_Catahoula_Concordia_1_2017/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/LA_Catahoula_Concordia_2_2017/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/LA_Catahoula_Concordia_3_2017/ept.json%22] USGS 3D View Online Resource Link to view the point cloud, using the Entwine Point Tile (EPT) format, in the 3D Potree viewer. Inertial Explorer ver: 8.9; Leica CloudPro Ver:1.2.1; GeoCue Ver: 2014.1.21.4; Microstation V8i; Terresolid ver: 2015; LP360 ver: 2014.1.51.1; Arcmap ver: 10.4; Global Mapper ver: 16 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 produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 0.213 Meters RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy =+/- 0.417 Meters at a 95% confidence level Estimated LiDAR Horizontal Error Per Point. This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class. USGS Determined DEM Vertical Accuracy Tested NVA RMSEz = 9 cm Tested 95th percentile value for VVA is : 15.44 cm For more information see the USGS project report and the lidar report. The links to these reports are provided in the URL section of this metadata record. The RAW LAS data files included all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The RAW point cloud is of good quality and data passes Fundamental Vertical Accuracy specifications. Void areas (i.e., areas outside the project boundary but within the tiling scheme) are coded using a unique “NODATA” value. This value is identified in the appropriate location within the file header. Aerial LiDAR data covers the entire 5,160 square miles Area of Interest intended for this project task. All LiDAR Point Cloud tiles show no edge artifacts or mismatches from tile to tile. Void areas (i.e., areas outside the project boundary but within the tiling scheme) are coded using a unique “NODATA” value. This value is identified in the appropriate location within the file header. Data cover the entire area specified for this project. Yes Unknown Yes NCEI-NC Data is backed up to cloud storage. The NOAA Office for Coastal Management (OCM) ingested references to the USGS GeoTIFF files that are hosted on Amazon Web Services (AWS), into the Digital Coast Data Access Viewer (DAV). The DAV accesses the raster data as it resides on AWS. USGS AWS GeoTIFF Files - LA_Catahoula_Concordia_1 Organization USGS Publisher https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Catahoula_Concordia_2017_D17/LA_Catahoula_Concordia_1_2017/TIFF/ USGS AWS GeoTIFF Files for LA_Catahoula_Concordia_1 USGS AWS GeoTIFF Files - LA_Catahoula_Concordia_2 Organization USGS Publisher https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Catahoula_Concordia_2017_D17/LA_Catahoula_Concordia_2_2017/TIFF/ USGS AWS GeoTIFF Files for LA_Catahoula_Concordia_2 USGS AWS GeoTIFF Files - LA_Catahoula_Concordia_3_ Organization USGS Publisher https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Catahoula_Concordia_2017_D17/LA_Catahoula_Concordia_3_2017/TIFF/ USGS AWS GeoTIFF Files for LA_Catahoula_Concordia_3_ 1 Aerial LiDAR Acquisition: LiDAR acquisition was done using Hardy-Anders Field Nachez Admas County Airport(KHEZ) as the base airports. DAS used two dedicated GPS base station located at the respected airports to support the aerial LiDAR acquisition. DAS used Leica's Terrian Mapper LiDAR Sensor (SN90524) for the acquisition. 2018-03-23T00:00:00 2 LiDAR Data Processing: Inertial Explorer 8.9 software was used to compute inertial solution file (*.sol) for each mission using ground GPS base station. The resulting solution was checked to ensure a minimum accuracy of +/- 0.05m, combined separation, for horizontal and vertical positions. Inertial Explorer methodology integrates Inertial Navigation Solution by processing the GPS data and Inertial Measurement Unit (IMU). The software applies the reference lever arms for the GPS and IMU during the process to determine the trajectory (position and orientation) of the LiDAR sensor during the acquisition mission. Inertial Explorer generated graphical results was reviewed to ensure that the IMU data was healthy. These results are found in Appendix D. Raw LiDAR sensor ranging data and the final solution sensor trajectory (*.sol), from Inertial Explorer, were processed in Leica’s Cloud Pro software to produce LiDAR point cloud swath for each flight line in LAS version 1.4 file format. Quality control of the swath point cloud was performed to validate proper functioning of the sensor system, full coverage of the project area and point density of the LiDAR data. Swath point clouds were assigned unique file source identification. The data was found to be complete and consistent with the sensor calibration parameters. 2019-05-22T00:00:00 3 LiDAR Calibration:HxMap is the common workflow platform for Leica airborne sensors. The processing workflow involves; Ingest, Block Creation, LiDAR Matching, Quality Assurance (QA) and Product Generation. LiDAR is processed in HxMap by generating point clouds from raw sensor data during the Ingest step. Noise filtering, sensor installation calibration and atmospheric condition parameters are also applied during the ingest process. Once all data is processed through ingest, they are assembled into a block for LiDAR Matching. The LiDAR Matching step resolves LiDAR registration errors which remain in the point clouds after sensor and installation calibration parameters are applied in the ingest step. QA tool is run on the Block after LiDAR Matching to verify quality of results. QA results are reviewed to ensure that, 95% of patches less thand 5cm for Vertical Scan Direction and Vertical Line Separation. Ground control points are also included to assess absolute accuracy for the point cloud data. LiDAR products are finally generated in the Product Generation step as LAS swaths (LAS 1.4). Vertical (Z) shift (calculated from QA step) is also applied during the product generation. 2020-07-22T00:00:00 4 Bare-Earth DEM Creation: Bare-Earth Digital Elevation Models (DEMs) were derived using the hydro break line and bare-earth (ground) LiDAR points, all DEMs were created with a grid spacing of 0.5 Meters. The DEMs were cut to tiles of 1,000 Meters X 1,000 Meters index, provided by the US Geological Survey. 2020-12-10T00:00:00 5 The NOAA Office for Coastal Management (OCM) created references to the USGS GeoTIFF files that were ingested into the NOAA Digital Coast Data Access Viewer (DAV). No changes were made to the data. The DAV will access the raster data as it resides on Amazon Web Services (AWS). These are the GeoTIFF files that are being accessed: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Catahoula_Concordia_2017_D17/LA_Catahoula_Concordia_1_2017/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Catahoula_Concordia_2017_D17/LA_Catahoula_Concordia_2_2017/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Catahoula_Concordia_2017_D17/LA_Catahoula_Concordia_3_2017/TIFF/ 2025-11-10T00:00:00 Organization Office for Coastal Management OCM https://ror.org/05v14bq57 2234 South Hobson Avenue Charleston SC 29405-2413 https://www.coast.noaa.gov/ 72980 Data Set Cross Reference gov.noaa.nmfs.inport:78540 Rebecca Mataosky 2025-11-05T16:11:53 SysAdmin InPortAdmin 2026-03-04T19:17:17 2025-11-05 OCM Partners OCMP 1002 Public No No 2024-06-17 1 Year 2025-06-17