gov.noaa.nmfs.inport:65716 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::3857 2018 USGS Lidar: Sabine River, LA la2018_sabine_m9382_metadata 2018 creation 2019-06-12 publication NOAA/NMFS/EDM 65716 https://www.fisheries.noaa.gov/inport/item/65716 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/geoid12b/9382/supplemental/LA_Sabine_River_Lidar_2018_D18_WP_Report.pdf WWW:LINK-1.0-http--link USGS Work Package Report Link to the USGS work package report that provides project information, vertical accuracy results, classifications used, sensors used, and work unit information. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9382/breaklines/index.html WWW:LINK-1.0-http--link Hydro Breaklines Link to the data set hydro breaklines. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9382/supplemental/Sabine_Lidar_Project_Report_USGS.pdf WWW:LINK-1.0-http--link Project Report Link to the data set project 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 Product: The lidar data were processed and classified according to project specifications. Detailed breaklines and bare-earth Digital Elevation Models (DEMs) were produced for the project area. Data was formatted according to tiles with each tile covering an area of 1000m by 1000m. The total project encompasses an area of approximately 10,535 sq. miles. Dataset Description: The LA Sabine River Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83 (2011), Universal Transverse Mercator, meters and vertical datum of NAVD88 (GEOID12B), meters. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 28119 individual 1000 m x 1000 m tiles, as tiled Intensity Imagery, and as tiled bare earth DEMs; all tiled to the same 1000 m x 1000 m schema. Ground Conditions: Lidar was collected between January 12, 2018 and Dec 1, 2018, while no snow was on the ground and rivers were at or below normal levels. 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 Entwine Point Tiles (EPT) hosted by USGS on Amazon Web Services. To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Intensity Images, Breaklines and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 0.5 meter cell size. These lidar point cloud data were used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary. Dewberry, USGS 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/geoid12b/9382/supplemental/la2018_sabine_m9382.kmz This graphic displays the footprint for this lidar data set. KML EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION 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 erosion theme Continent > North America > United States Of America > Louisiana > Bossier Parish Continent > North America > United States Of America > Louisiana > Caddo Parish Continent > North America > United States Of America > Louisiana > Calcasieu Parish Continent > North America > United States Of America > Louisiana > De Soto Parish Continent > North America > United States Of America > Louisiana > Grant Parish Continent > North America > United States Of America > Louisiana > Natchitoches Parish Continent > North America > United States Of America > Louisiana > Rapides Parish Continent > North America > United States Of America > Louisiana > Red Rover Parish Continent > North America > United States Of America > Louisiana > Sabine Parish Continent > North America > United States Of America > Louisiana > Vernon Parish Continent > North America > United States Of America > Louisiana > Beauregard Parish place Lidar - partner (no harvest) project InPort otherRestrictions Cite As: OCM Partners, [Date of Access]: 2018 USGS Lidar: Sabine River, LA [Data Date Range], https://www.fisheries.noaa.gov/inport/item/65716. 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 2018 USGS Lidar DEM: Sabine River, LA NOAA/NMFS/EDM 78519 crossReference vector eng; US elevation Riegl RiProcess; GeoCue; Microstation; Terrascan; ArcGIS 10.4; Windows 7; .las 3.66 TB -94.044417 -92.071339 30.04997 33.020445 | Currentness: Ground Condition 2018-01-12 2018-12-01 USGS Contract No. G16PC00020 CONTRACTOR: Dewberry SUBCONTRACTOR: Airborne Imaging Inc, Lidar data were acquired and calibrated by Airborne Imaging Inc. All follow-on processing was completed by the prime contractor. The following are the USGS lidar fields in JSON: { "ldrinfo" : { "ldrspec" : "U.S. Geological Survey (USGS) - National Geospatial Program (NGP) Lidar Base Specification v1.2", "ldrsens" : "Riegl VQ-1560i", "ldrmaxnr" : "7", "ldrnps" : "0.35", "ldrdens" : "8", "ldranps" : "0.35", "ldradens" : "8", "ldrfltht" : "1400", "ldrfltsp" : "160", "ldrscana" : "60", "ldrscanr" : "361", "ldrpulsr" : "2000", "ldrpulsd" : "3", "ldrpulsw" : "0.9", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.25", "ldrswatw" : "1569", "ldrswato" : "30", "ldrgeoid" : "National Geodetic Survey (NGS) Geoid12B" }, "ldraccur" : { "ldrchacc" : "0", "rawnva" : "0", "rawnvan" : "0", "clsnva" : "0", "clsnvan" : "0", "clsvva" : "0", "clsvvan" : "0" }, "lasinfo" : { "lasver" : "1.4", "lasprf" : "6", "laswheld" : "Withheld (ignore) points were identified in these files using the standard LAS Withheld bit.", "lasolap" : "Swath "overage" points were identified in these files using the standard LAS overlap bit.", "lasintr" : "16", "lasclass" : { "clascode" : "1", "clasitem" : "Processed, but Unclassified" }, "lasclass" : { "clascode" : "2", "clasitem" : "Bare Earth Ground" }, "lasclass" : { "clascode" : "7", "clasitem" : "Low Noise" }, "lasclass" : { "clascode" : "9", "clasitem" : "Water" }, "lasclass" : { "clascode" : "10", "clasitem" : "Ignored Ground" }, "lasclass" : { "clascode" : "17", "clasitem" : "Bridge Decks" }, "lasclass" : { "clascode" : "18", "clasitem" : "High Noise" } }} 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 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=9382/details/9382 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://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/LA_Sabine_River_Lidar_2018_D18/ WWW:LINK-1.0-http--link Bulk Download Bulk download of data files in LAZ format, UTM Zone 15 NAD83 (2011), meters coordinates and orthometric heights in meters. This url links to the USGS copy of the files, from which the Entwine Point Tile files originated. These have not been reviewed by OCM and the link is provided here for convenience. download dataset Horizontal Positional Accuracy Horizontal accuracy testing requires well-defined checkpoints that can be identified in the dataset. Elevation datasets, including lidar datasets, do not always contain well-defined checkpoints suitable for horizontal accuracy assessment. However, the ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) recommends at least half of the NVA vertical check points should be located at the ends of paint stripes or other point features visible on the lidar intensity image, allowing them to double as horizontal check points. Dewberry reviews all NVA checkpoints to determine which, if any, of these checkpoints are located on photo-identifiable features in the intensity imagery. This subset of checkpoints was then used for horizontal accuracy testing. Thirteen checkpoints were determined to be photo-identifiable in the intensity imagery and were used to test the horizontal accuracy of the lidar dataset. Using NSSDA methodology (endorsed by the ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014)), horizontal accuracy at the 95% confidence level (called ACCURACYr) is computed by the formula RMSEr * 1.7308 or RMSExy * 2.448. No horizontal accuracy requirements or thresholds were provided for this project. However, lidar datasets are generally calibrated by methods designed to ensure a horizontal accuracy of 1 meter or less at the 95% confidence level. 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. Using this small sample set of photo-identifiable checkpoints, positional accuracy of this dataset was found to be RMSEx = 22.9 cm and RMSEy = 21.7 cm which equates to +/- 54.5 cm at 95% confidence level. While not statistically significant, the results of the small sample set of checkpoints are within the produced to meet horizontal accuracy. For more information see the project report. The link to the report is provided in the URL section of this metadata record. Vertical Positional Accuracy Dewberry Determined Vertical Accuracy Number of NVA checkpoints: 209 Number of VVA checkpoints: 150 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 =4.8 cm, equating to +/- 9.4 cm at 95% confidence level. Actual VVA accuracy was found to be +/- 14.4 cm at the 95th percentile. For more information see the project report. The link to the report is provided in the URL section of this metadata record. USGS Determined Vertical Accuracy NVA RMSEz = 4.75 cm, NVA Accuracyz at 95th confidence interval=9.32 cm VVA= 14.28 cm at the 95th percentile For more information see the USGS work package report and the project report. The links to these reports are provided in the URL section of this metadata record. Completeness Report These LAS data files include 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 Non-Vegetated Vertical Accuracy specifications. Conceptual Consistency Data covers the entire area specified for this project. The NOAA Office for Coastal Management (OCM) ingested references to the USGS Entwine Point Tiles (EPT) hosted on Amazon Web Services (AWS) into the Digital Coast Data Access Viewer (DAV). The DAV accesses the point cloud as it resides on AWS under the usgs-lidar-public-container. The boresight for each lift was done individually as the solution may change slightly from lift to lift. The following steps describe the Raw Data Processing and Boresight process: 1) Technicians processed the raw data to LAS format flight lines using the final GPS/IMU solution. This LAS data set was used as source data for boresight. 2) Technicians first used Airborne Imaging Inc proprietary and commercial software to calculate initial boresight adjustment angles based on sample areas selected in the lift. These areas cover calibration flight lines collected in the lift, cross tie and production flight lines. These areas are well distributed in the lift coverage and cover multiple terrain types that are necessary for boresight angle calculation. The technician then analyzed the results and made any necessary additional adjustment until it is acceptable for the selected areas. 3) Once the boresight angle calculation was completed for the selected areas, the adjusted settings were applied to all of the flight lines of the lift and checked for consistency. The technicians utilized commercial and proprietary software packages to analyze how well flight line overlaps match for the entire lift and adjusted as necessary until the results met the project specifications. 4) Once all lifts were completed with individual boresight adjustment, the technicians checked and corrected the vertical misalignment of all flight lines and also the matching between data and ground truth. The relative accuracy was less than or equal to 6 cm RMSEz within individual swaths and less than or equal to 8 cm RMSDz or within swath overlap (between adjacent swaths). 5) The technicians ran a final vertical accuracy check of the boresighted flight lines against the surveyed check points after the z correction to ensure the requirement of NVA = 19.6 cm 95% Confidence Level (Required Accuracy) was met. Point classification was performed according to USGS Lidar Base Specification 1.2. Dates of collection: A1: 20180131 - 20180610 A2: 20180114 - 20180610 A3: 20180114 - 20180610 A4: 20180131 - 20180608 A5: 20181102 - 20190218 A6: 20180131 - 20181210 2019-02-06T00:00:00 LAS Point Classification: The point classification is performed as described below. The bare earth surface is then manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface is finalized, it is then used to generate all hydro-breaklines through heads-up digitization. All ground (ASPRS Class 2) lidar data inside of the Lake Pond and Double Line Drain hydro flattening breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 0.35 meters was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 10). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (ASPRS Class 2) points were reclassified to the correct classification after the automated classification was completed. All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes by USGS. The overlap data was classified using standard LAS overlap bit. These classes were created through automated processes only and were not verified for classification accuracy. Due to software limitations within TerraScan, these classes were used to trip the withheld bit within various software packages. These processes were reviewed and accepted by USGS through numerous conference calls and pilot study areas. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper us used as a final check of the bare earth dataset. GeoCue was then used to create the deliverable industry-standard LAS files for both the All Point Cloud Data and the Bare Earth. Dewberry proprietary 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 and full LAS header information. 2019-02-06T00:00:00 The NOAA Office for Coastal Management (OCM) created references to the Entwine Point Tiles (EPT) that were ingested into the NOAA Digital Coast Data Access Viewer (DAV). No changes were made to the data. The DAV will access the point cloud as it resides on Amazon Web Services (AWS) under the usgs-lidar-public container. These are the AWS URLs being accessed: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/LA_Sabine_River_Lidar_A1_2018/ept.json https://s3-us-west-2.amazonaws.com/usgs-lidar-public/LA_Sabine_River_Lidar_A2_2018/ept.json https://s3-us-west-2.amazonaws.com/usgs-lidar-public/LA_Sabine_River_Lidar_A3_2018/ept.json https://s3-us-west-2.amazonaws.com/usgs-lidar-public/LA_Sabine_River_Lidar_A4_2018/ept.json https://s3-us-west-2.amazonaws.com/usgs-lidar-public/LA_Sabine_River_Lidar_A5_2018/ept.json https://s3-us-west-2.amazonaws.com/usgs-lidar-public/LA_Sabine_River_Lidar_A6_2018/ept.json The data reports, metadata, and breaklines were downloaded from this USGS site: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/LA_Sabine_River_Lidar_2018_D18/ 2021-10-22T00:00:00 Office for Coastal Management processor USGS AWS Entwine Point Tiles - Work Unit A1 USGS https://s3-us-west-2.amazonaws.com/usgs-lidar-public/LA_Sabine_River_Lidar_A1_2018/ept.json WWW:LINK-1.0-http--link Entwine Point Tiles for LA_Sabine_River_Lidar_A1_2018 Source Citation URL information publisher USGS AWS Entwine Point Tiles - Work Unit A2 USGS https://s3-us-west-2.amazonaws.com/usgs-lidar-public/LA_Sabine_River_Lidar_A2_2018/ept.json WWW:LINK-1.0-http--link Entwine Point Tiles for LA_Sabine_River_Lidar_A2_2018 Source Citation URL information publisher USGS AWS Entwine Point Tiles - Work Unit A3 USGS https://s3-us-west-2.amazonaws.com/usgs-lidar-public/LA_Sabine_River_Lidar_A3_2018/ept.json WWW:LINK-1.0-http--link Entwine Point Tiles for LA_Sabine_River_Lidar_A3_2018 Source Citation URL information publisher USGS AWS Entwine Point Tiles - Work Unit A4 USGS https://s3-us-west-2.amazonaws.com/usgs-lidar-public/LA_Sabine_River_Lidar_A4_2018/ept.json WWW:LINK-1.0-http--link Entwine Point Tiles for LA_Sabine_River_Lidar_A4_2018 Source Citation URL information publisher USGS AWS Entwine Point Tiles - Work Unit A5 USGS https://s3-us-west-2.amazonaws.com/usgs-lidar-public/LA_Sabine_River_Lidar_A5_2018/ept.json WWW:LINK-1.0-http--link Entwine Point Tiles for LA_Sabine_River_Lidar_A5_2018 Source Citation URL information publisher USGS AWS Entwine Point Tiles - Work Unit A6 USGS https://s3-us-west-2.amazonaws.com/usgs-lidar-public/LA_Sabine_River_Lidar_A6_2018/ept.json WWW:LINK-1.0-http--link Entwine Point Tiles for LA_Sabine_River_Lidar_A6_2018 Source Citation URL information publisher