gov.noaa.nmfs.inport:78539 eng UTF8 dataset Elevation OCM Partners 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 2026-04-30T00:00:00 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) EPSG::5703 EPSG::6344 2018 USGS Lidar DEM: Bayou Nezpique, LA la2018_bayou_nezpique_dem_m13763 2018 creation 2025 publication NOAA/NMFS/EDM 78539 https://www.fisheries.noaa.gov/inport/item/78539 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9128/breaklines/index.html WWW:LINK-1.0-http--link Breaklines Link to data set breaklines. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9128/supplemental/LA_Bayou_Nezpique_Lidar_2018_D18_Report.pdf WWW:LINK-1.0-http--link Dataset report Link to data set 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 The bare-earth DEM was produced to meet the specifications detailed in the USGS National Geospatial Program Lidar Base Specification, version 1.2 (2014). This project, overall, consists of a spring 2018 lidar survey collected over an Area of Interest (AOI) in south-central Louisiana covering a total of approximately 3,772 square miles and includes the parishes of Acadia, Jefferson Davis, Allen, Evangeline and portions of St. Landry, Lafayette, Vermillion, Rapides and Calcasieu. Lidar data and derivative products were collected and processed to conform to the USGS National Geospatial Program Lidar Base Specification, version 1.2 (2014) at National Enhanced Elevation Assessment (NEEA) Quality Level 1 (QL1) with an Aggregate Nominal Pulse Spacing (ANPS) of 0.35 meters or less and Aggregate Nominal Point Density (ANPD) of 8 points per square meter or greater. Deliverable lidar products include: classified lidar point cloud, hydro-flattening breaklines, bare-earth digital elevation models (DEMs), and lidar intensity images. 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. This high resolution lidar data will support NRCS business needs for high resolution topographic elevation data and will also support the National Spatial Data Infrastructure (NSDI) and will advance USGS efforts related to the 3D Elevation Program and The National Map. Optimal GEO, Inc. 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 pointOfContact 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/geoid18/9128/supplemental/la2018_nezpique_m9128.kmz This graphic displays the footprint for this lidar data set. KML EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM) theme Global Change Master Directory (GCMD) Science Keywords 23.3 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > LOUISIANA VERTICAL LOCATION > LAND SURFACE place Global Change Master Directory (GCMD) Location Keywords 23.3 LIDAR > Light Detection and Ranging instrument Global Change Master Directory (GCMD) Instrument Keywords 23.3 Airplane > Airplane platform Global Change Master Directory (GCMD) Platform Keywords 23.3 Continent > North America > United States Of America > Louisiana > Acadia Parish Continent > North America > United States Of America > Louisiana > Allen Parish Continent > North America > United States Of America > Louisiana > Bayou Nezpique Continent > North America > United States Of America > Louisiana > Calcasieu Parish Continent > North America > United States Of America > Louisiana > Evangeline Parish Continent > North America > United States Of America > Louisiana > Jefferson Davis Parish Continent > North America > United States Of America > Louisiana > Lafayette Parish Continent > North America > United States Of America > Louisiana > Rapides Parish Continent > North America > United States Of America > Louisiana > St. Landry Parish Continent > North America > United States Of America > Louisiana > Vermilion Parish place DEMs - partner (no harvest) project InPort otherRestrictions Cite As: OCM Partners, [Date of Access]: 2018 USGS Lidar DEM: Bayou Nezpique, LA [Data Date Range], https://www.fisheries.noaa.gov/inport/item/78539. 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 Precision Aerial Reconnaissance, Inc, Optimal Geo, Inc, USGS, NOAA, the Office for Coastal Management or its partners. unclassified 2018 USGS Lidar: Bayou Nezpique, LA NOAA/NMFS/EDM 60158 crossReference grid eng; US elevation Terrasolid Version 19; Windows 10 Professional Operating System; Q:\Projects\21518_USGS_LA_Bayou_Lidar -93.132145881 -92.170772568 29.841048215 31.05010987 | Currentness: Ground Condition 2018-04-05 2018-06-08 Task Name: LA_Bayou Nezpique Lidar_2018_D18; USGS Task Order No. 140G1018F0024; Contract No. G17PC0007. Original Contractor: Precision Aerial Reconnaissance, LLC (PAR) (Lidar acquisition, calibration and initial deliverable products generation). Contract novated to and completed by Optimal GEO, Inc. Zip Zip GeoTIFF 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 U.S. Geological Survey 12201 Sunrise Valley Drive Reston VA 20191 USA https://usgs.gov WWW:LINK-1.0-http--link USGS Home Home page for USGS information distributor https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=13763/details/13763 WWW:LINK-1.0-http--link 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. download https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/ WWW:LINK-1.0-http--link Bulk Download Bulk download of data files in GeoTIFF format in geographic coordinates and orthometric heights in meters. download dataset Horizontal Positional Accuracy Not tested Vertical Positional Accuracy The tested RMSEz of the classified lidar data for checkpoints in the non-vegetated terrain is 6.8 cm, compared to the 10 cm specification. The NVA of the classified lidar data computed using RMSEz x 1.96 is 13.4 cm, compared to the 19.6 cm specification. The tested VVA of the classified lidar data computed using the 95th percentile is equal to 22.6 cm, compared to the 29.4 cm specification. Completeness Report LAS data files include all data points collected that fall within the Buffered Project Area (BPA). 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 Non-Vegetated Vertical Accuracy specifications. Conceptual Consistency Data coverage reflects the entire Buffered Project Area (BPA) specified for this project. 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. Florabama Geospatial Solutions (FGS) collected 284 check points (98 Control, 102 NVA, 84 VVA) in different classifications spread throughout the project area. The control point coordinate values for this project are referenced to National Geodetic Survey (NGS) control monuments in the National Spatial Reference System (NSRS). Horizontal datum is referenced to UTM, NAD1983, Zone 15 North. Vertical values represent the North American Vertical Datum of 1988 (NAVD88). GEOID 12B was used to translate the ellipsoid heights to orthometric heights. FGS used LSU C4G Real Time Network Data Correction Service to determine coordinate values for the survey control points and logged raw data at the rovers for post-processing. FGS also observed static data on 10 base station sites spread evenly throughout the project area. All site calibration points were oberved for at least ten (10) minutes and all LiDAR control points were observed for at least six (6) minutes. A site calibration was performed using the data that was collected via LSU C4G RTN. Existing control throughout and surrounding the project area were evaluated against published values and OPUS solutions held as fixed control. The site calibration was performed using Trimble Business Center Software. 2018-03-20T00:00:00 Firstly, the individual lidar mission points in Leica raw scan format were output to ASPRS LAS format using Leica Cloud Pro software, initially using as default values those resulting from the last successfully calibrated mission for the lidar scanner system. Subsequently, Bayes StripAlign software (version 2.04B) was utilized for LiDAR calibration, assessment of calibration validity, and assessment of point cloud alignment to control. If a calibration error greater than allowable according to project specifications is observed within a mission, the roll, pitch and scanner scale corrections that need to be applied to refine the calibration are calculated and the mission in question is reprocessed and re-validated. Additionally, data collected by the lidar unit is reviewed for completeness, acceptable density, and to make sure all data is captured without errors or corrupted values. 2018-06-15T00:00:00 The raw point cloud was segmented into a contiguous set of 1,000 meter x 1,000 meter tiles based on the U.S. National Grid tiling and naming scheme. After tiling, Terrasolid TerraScan software ground classification routines were run to generate an initial point classification, primarily identifying ground and noise. Subsequent to automated classification, manual review and edit of point classifications was performed to meet project classification specifications. The point classifications used are as follows: 1 - Processed, but unclassified; 2 - Bare-earth ground; 7 - Low Noise; 9 - Water; 10 - Ignored Ground (Breakline Proximity); 17 - Bridge Decks; and, 18 - High Noise. Concurrently with manual point classification, heads-up digitizing of 2D hydro-flattening breaklines of inland streams and rivers with a 100 foot nominal width as well as inland ponds and lakes of 2 acres or greater surface area was performed. Breakline elevation values were then derived from the point cloud and assigned to all inland ponds and lakes, inland pond and lake islands, and inland stream and river islands using TerraModeler functionality. Elevation values were assigned to all inland streams and rivers using TerraScan. All ground (ASPRS Class 2) lidar data falling within the collected inland water body breaklines were then classified as water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 0.3 meters was used around each hydro-flattened feature to de-conflict discreet breakline vertices and segments from lidar ground returns; this was accomplished by reclassifying the ground points within the buffer to Ignored Ground (ASPRS Class 10). LAStools software was used to perform final statistical analysis of the classes in the LAS files, on a per tile level to verify final classification metrics as well as completeness and validity of LAS header information. 2018-10-16T00:00:00 Triangulated Irregular Network (TIN) surface models were used within the Terrasolid TerraScan and TerraModeler softwares to heads-up digitize 2D breaklines of inland streams and rivers with a 100 foot nominal width as well as inland ponds and lakes of 2 acres or greater surface area. Elevation values were then derived from the TIN and assigned to all inland ponds and lakes, inland pond and lake islands, and inland stream and river islands using TerraModeler functionality. Elevation values were assigned to all inland streams and rivers using TerraScan. All ground (ASPRS Class 2) lidar data falling within the collected inland water body breaklines were then classified as water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 0.3 meters was also used around each hydro-flattened feature to de-conflict discreet breakline vertices from lidar ground returns; this was accomplished by reclassifying the ground points within the buffer to Ignored Ground (ASPRS Class 10). The breakline files were then translated to ESRI File-Geodatabase format using ESRI conversion tools. Breaklines are reviewed against lidar intensity imagery to verify completeness of capture. All breaklines are then compared to TINs created from ground only points. The horizontal placement of breaklines is compared to terrain features and the breakline elevations are compared to lidar elevations to ensure all breaklines match the lidar within acceptable tolerances. Some deviation is expected between breakline and lidar elevations due to monotonicity, connectivity, and flattening rules that are enforced on the breaklines. Once completeness, horizontal placement, and vertical variance is reviewed, all breaklines are reviewed for topological consistency and data integrity using a combination of ESRI Data Reviewer tools and proprietary tools. 2019-10-31T00:00:00 Class 2 (ground) lidar points in conjunction with the hydro-flattening breaklines were used to create a 0.5 meter hydro-flattened Raster DEM. Using automated scripting routines within ArcMap, an ERDAS Imagine IMG file was created for each tile. Each surface is reviewed using ArcGIS to check for any surface anomalies or incorrect elevations found within the surface. 2019-10-31T00:00:00 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_Bayou_Nezpique_B1_2018/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Bayou_Nezpique_B2_2018/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Bayou_Nezpique_B3_2018/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Bayou_Nezpique_B4_2018/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Bayou_Nezpique_B5_2018/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Bayou_Nezpique_B6_2018/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Bayou_Nezpique_2018_D18/LA_Bayou_Nezpique_TL_2018/TIFF/ 2025-11-10T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor Source Contribution: This data source was used (along with the airborne GPS/IMU Data) to georeference the lidar point cloud data; additionally, a subset of the collected surveyed data points were used solely as independent ground control to assess the accuracy of the lidar point cloud. Ground Control for Bayou Nezpique, LA Lidar Project 2018-03-20 publication Florabama Geospatial Solutions, LLC originator 2018-01-26 2018-03-20 Source Contribution: This data source, once calibrated and georeferenced, resulted in the point cloud from which the derivative deliverable products were produced. Lidar Point Cloud Acquisition for Bayou Nezpique, LA Lidar Project 2018-06-08 publication Precision Aerial Reconnaissance, LLC originator 2018-04-05 2018-06-08 USGS AWS GeoTIFF Files - LA Bayou Nezpique B1 USGS https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Bayou_Nezpique_B1_2018/TIFF/ WWW:LINK-1.0-http--link USGS AWS GeoTIFF Files for LA Bayou Nezpique B1 Source Citation URL information publisher USGS AWS GeoTIFF Files - LA Bayou Nezpique B2 USGS https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Bayou_Nezpique_B2_2018/TIFF/ WWW:LINK-1.0-http--link USGS AWS GeoTIFF Files forLA Bayou Nezpique B2 Source Citation URL information publisher USGS AWS GeoTIFF Files - LA Bayou Nezpique B3 USGS https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Bayou_Nezpique_B3_2018/TIFF/ WWW:LINK-1.0-http--link USGS AWS GeoTIFF Files for LA Bayou Nezpique B3 Source Citation URL information publisher USGS AWS GeoTIFF Files - LA Bayou Nezpique B4 USGS https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Bayou_Nezpique_B4_2018/TIFF/ WWW:LINK-1.0-http--link USGS AWS GeoTIFF Files for LA Bayou Nezpique B4 Source Citation URL information publisher USGS AWS GeoTIFF Files - LA Bayou Nezpique B5 USGS https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Bayou_Nezpique_B5_2018/TIFF/ WWW:LINK-1.0-http--link USGS AWS GeoTIFF Files for LA Bayou Nezpique B5 Source Citation URL information publisher USGS AWS GeoTIFF Files - LA Bayou Nezpique B6 USGS https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Bayou_Nezpique_B6_2018/TIFF/ WWW:LINK-1.0-http--link USGS AWS GeoTIFF Files for LA Bayou Nezpique B6 Source Citation URL information publisher USGS AWS GeoTIFF Files - LA Bayou Nezpique TL USGS https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Bayou_Nezpique_2018_D18/LA_Bayou_Nezpique_TL_2018/TIFF/ WWW:LINK-1.0-http--link USGS AWS GeoTIFF Files - LA Bayou Nezpique TL Source Citation URL information publisher