gov.noaa.nmfs.inport:73667 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 2026-06-16T19:26:45 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) point 36167999764 EPSG::6319 2015 USGS Lidar: South Terrebonne and Gulf Islands, LA la2015_south_terr_m10143_metadata 2015 creation 2020 publication NOAA/NMFS/EDM 73667 https://www.fisheries.noaa.gov/inport/item/73667 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_LA_SoTerrebonne_GI_2015_LAS_2016/ept.json WWW:LINK-1.0-http--link USGS Entwine Point Tile (EPT) 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. download https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/South_Terrebonne_and_Gulf_Islands_LiDAR/LA_SoTerrebonne-GI_2015/reports/G15PD00057%2C%20South%20Terrebonne%20and%20Gulf%20Islands%20QL2%20LiDARProject_Report.pdf WWW:LINK-1.0-http--link Lidar Report Link to the lidar report. download https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/South_Terrebonne_and_Gulf_Islands_LiDAR/LA_SoTerrebonne-GI_2015/ WWW:LINK-1.0-http--link USGS Additional Info Link to the reports, breaklines, metadata, and spatial metadata. download https://usgs.entwine.io/data/view.html?r=%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_LA_SoTerrebonne_GI_2015_LAS_2016%22 WWW:LINK-1.0-http--link 3D View (Potree USGS) Link to view the point cloud, using the Entwine Point Tile (EPT) format, in the 3D Potree viewer. 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 This data set is the classified lidar point data which encompasses a 100 meter buffer around the south Terrebonne basin in Louisiana and the gulf coast islands of Cat Island, West Ship Island, East Ship Island, Horn Island, Petit Bois Island, Dauphin Island, Pelican Island, and the Chandeleur Islands, covering approximately 2093 square miles. Original Dataset Description: This data set consists of LiDAR point cloud LAS swath files and tiled Las files. Each LAS file contains LiDAR point information, which has been calibrated, controlled, and classified. Each file represents a separate swath of LiDAR. LiDAR data collected for the G15PD00057, South Terrebonne and Gulf Islands survey has a nominal pulse spacing of 0.7 meters, and includes up to 4 discrete returns per pulse, along with intensity values for each return. LiDAR datasets were post processed to generate elevation point cloud swaths for each flight line. Deliverables include the point cloud swaths, tiled point clouds classified by land cover type, breaklines to support hydro-flattening of digital elevation models (DEM)s, intensity tiles, and bare-earth DEM tiles. Point cloud deliverables are stored in the LAS version 1.2 format, point data record format 1. The tiling scheme for tiled deliverables is a 1500 meter x 1500 meter grid. Tile number is the appropriate cell number values found in the USNG index. All deliverables were generated in conformance with the U.S. Geological Survey National Geospatial Program Guidelines and Base Specifications, Version 1.0. Original Data Collection 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 Entwine Point Tiles (EPT) hosted by USGS on Amazon Web Services. The USGS/NGTOC contracted Digital Aerial Solutions, LLC to obtain professional services related to the development of Light Detection and Ranging (LiDAR) data between January and February of 2015. These LiDAR elevation data will be used for conservation planning, design, research, floodplain mapping, wetlands identification, dam safety assessments, hydrologic modeling, and subsidence monitoring. Digital Aerial Solutions, LLC, USGS, LA CPRA 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 asNeeded EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL 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 > ALABAMA CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > LOUISIANA CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MISSISSIPPI 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 Lidar - partner (no harvest) project InPort otherRestrictions Cite As: OCM Partners, [Date of Access]: 2015 USGS Lidar: South Terrebonne and Gulf Islands, LA [Data Date Range], https://www.fisheries.noaa.gov/inport/item/73667. 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: The data represented is the result of data collection and processing per contract specifications and indicates the general existing conditions at the time of data collection. As such, it is only valid for its intended use, content, time, and accuracy specifications. The user is responsible for the results of any application of the data for other than its intended purpose. Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners. unclassified 2015 USGS Lidar DEM: South Terrebonne and Gulf Islands, LA NOAA/NMFS/EDM 80024 crossReference vector eng; US oceans CloudPro 1.2.0 Build 85620; GeoCue Version 2014.1.21.2; Windows 7 Operating System \\lidarsrv\GC_Warehouse_5\80658\30\*.las 184 GB -91.374 -88.051 29.036 30.307 | Currentness: Ground Condition 2015-01-18 2015-02-13 All Lidar data and associated products were acquired, calibrated, and used in the creation of Lidar derived products by Digital Aerial Solutions, LLC. The following are the USGS lidar fields in JSON: { "ldrinfo" : { "ldrspec" : "USGS-NGP Base Lidar Specification v1.0 ", "ldrsens" : "Leica ALS70-HP ", "ldrmaxnr" : "Unlimited ", "ldrnps" : "0.5 ", "ldrdens" : "4.0 ", "ldranps" : "0.3965 ", "ldradens" : "6.36 ", "ldrfltht" : "2000 ", "ldrfltsp" : "125 ", "ldrscana" : "40 ", "ldrscanr" : "34.5 ", "ldrpulsr" : "265.6 ", "ldrpulsd" : "4 ", "ldrpulsw" : "0.46 ", "ldrwavel" : "1064 ", "ldrmpia" : "1 ", "ldrbmdiv" : "0.15 ", "ldrswatw" : "1657 ", "ldrswato" : "20 ", "ldrgeoid" : "National Geodetic Survey (NGS) Geoid12B " }, "ldraccur" : { "ldrchacc" : "0.196 ", "rawnva" : "0.154 ", "rawnvan" : "120 ", "clsnva" : "0.151 ", "clsnvan" : "120 ", "clsvva" : "0.151 ", "clsvvan" : "100 " }, "lasinfo" : { "lasver" : "1.4 ", "lasprf" : "6 ", "laswheld" : "Withheld (ignore) points were identified in the files using the standard LAS Withheld bit. ", "lasolap" : Swath points were identified in these files using the standard LAS overlap bit. ", "lasintr" : "16 ", "lasclass" : { "clascode" : "1", "clasitem" : "Undetermined/Unclassified" }, "lasclass" : { "clascode" : "2", "clasitem" : "Bare earth" }, "lasclass" : { "clascode" : "7", "clasitem" : "Low Noise" }, "lasclass" : { "clascode" : "9", "clasitem" : "Water" }, "lasclass" : { "clascode" : "10", "clasitem" : "Ignored Ground" } }} false eng false Tiled LiDAR point Cloud for the Terrebonne and Gulf Islands Zip LAS/LAZ - LASer LAZ 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=10143/details/10143 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/South_Terrebonne_and_Gulf_Islands_LiDAR/LA_SoTerrebonne_GI_2015/LAZ/ WWW:LINK-1.0-http--link Bulk Download Bulk download of data files in LAZ format, UTM Zone 15N NAD83 meters and in NAVD88 (Geoid12A) elevations in meters. download dataset Horizontal Positional Accuracy 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. As described in Section 7.5 of the ASPRS Positional Accuracy Standards for Digital Geospatial Data the horizontal errors in lidar data are largely a function of GNSS positional error, INS angular error, and flying altitude. Therefore lidar data collected with GNSS error of 0.05m and the IMU error of 0.03492 degrees at an altitude of 1,600 meters; the expected radial horizontal positional error will be RMSEr = 11.2 cm. Vertical Positional Accuracy Vertical Accuracy of the bare-earth LiDAR data was assessed and reported in accordance with the ASPRS Positional Accuracy Standards for Digital Geospatial Data. One hundred and sixty-one (161) surveyed points were measured for the purpose of assessing the accuracy of the Terrebonne Lidar data (41 FVA + 120 SVA). Both data sets, Lidar and Digital Elevation Models (DEMs) have been tested for their individual vertical accuracy levels. The Lidar was tested by using interpolation while the DEMs where tested by extracting the elevation of a pixel containing the checkpoint. All DEM Vertical accuracy results are reported in the DEM Metadata reports while this project wide Metadata file is reporting the vertical accuracy results from the source Lidar. The Required Consolidated Vertical Accuracy (CVA): 36.3 cm. The Required Supplemental Vertical Accuracy (SVA): 36.3 cm. The Required Fundamental Vertical Accuracy (FVA): 18.13 cm This data set was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 9.25 cm RMSEz Vertical Accuracy Class. Actual NVA accuracy was found to be RMSEz = 7.8 cm, equating to +/-15.2 cm at 95% confidence level. Completeness Report 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. Conceptual Consistency Aerial LiDAR data covers the entire 2093 square mile 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. 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. Aerial LiDAR Acquisition: Aerial data collection was acquired, in Twenty Two (22) missions, using the Leica ALS80 SN# 8235 & ALS60 SN# 6130 at an altitude of 2,000 & 1,400 meters AGL respectively. This was to support a 4.0 ppm^2 LiDAR point cloud. Airborne GPS and IMU data was collected during the acquisition and supported by Leica GPS 1200 base stations that occupied temporary monuments in conjunction with CORS stations, Data acquisition started January 26, 2015 and was complete February 13, 2015. Ground Control Survey: A survey was performed to support the acquisition of Light Detection and Ranging (LiDAR). The control network involved a total of 246 check points (41 FVA and 120 SVA). The points were a combination of the following ground cover classification: Open Terrain, Urban Terrain, Bare Earth, High Grass and Low Trees. All field survey observations were conducted between January 19, 2015 and February 13, 2015 with Leica GPS 1200 equipment. 2015-02-13T00:00:00 LiDAR Pre-processing: Airborne GPS and IMU data were merged to develop a Smooth Best Estimate of Trajectory (SBET) of the LiDAR system for each mission. LiDAR ranging data were initially calibrated using previous best parameters for this instrument and aircraft. Relative calibration was evaluated using advanced plane-matching analysis and parameter corrections derived. This process was repeated interactively until residual errors between overlapping swaths, across all project lifts, was reduced to 2 cm or less. Raw data NVA were checked using surveyed check points. 2015-06-17T00:00:00 RAW Data Processing: The Initial processing of the GPS data was processed using Inertial Explorer producing a solution file for each mission. Leica CloudPro software was then used to generate georeferenced laser returns into LAS 1.2 file format for each flight-line per each mission, this went through an initial Quality Control of the overlap between the flight-line swaths. 2015-09-17T00:00:00 LiDAR Post-processing: The calibrated and controlled LiDAR swaths were processed using automatic point classification routines in TerraSolid software. These routines operate against the entire collection (all swaths, all lifts), eliminating character differences between files. Data were then distributed as virtual tiles to experienced LiDAR analysts for localized automatic classification, manual editing, and peer-based QC checks. Supervisory QC monitoring of work in progress and completed editing ensured consistency of classification character and adherence to project requirements across the entire project. All classification tags are stored in the original swath files. After completion of classification and final QC approval, the NVA and VVA for the project are calculated. Sample areas for each land cover type present in the project were extracted and forwarded to the client, along with the results of the accuracy tests. Upon acceptance, the complete classified LiDAR swath files were delivered to the client. 2015-10-08T00:00:00 LiDAR Classification: The calibrated LiDAR data went through automated classification routines and then manually edited and checked. The LiDAR point cloud data was classified into the following classes: 1-unclassified*, 2-ground, 3-Low/Medium Vegetation (Less than or equal to 3 meters), 7-low noise, 9-water, 10-buffer, 15-withheld ground, 16-withheld unclassified 2016-01-01T00:00:00 Original point clouds in LAS/LAZ format were restructured as Entwine Point Tiles and stored on Amazon Web Services. The data were re-projected horizontally to WGS84 web mercator (EPSG 3857) and and the vertical units of meters (NAVD88 GEOID12A) were retained. U.S. Geological Survey processor The NOAA Office for Coastal Management (OCM) created references to the Entwine Point Tile (EPT) that was 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. This is the AWS URL being accessed: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_LA_SoTerrebonne_GI_2015_LAS_2016/ept.json NOTE: During the review of the data, OCM noticed that there was a tile missing from the EPT dataset. Checking the LPC tile index, it was determined that Tile 15RYN1422 was corrupt in the LPC folder and missing in the EPT files. Received confirmation from USGS that the LPC file was corrupt and USGS has pulled that file from distribution. USGS was unable to find a correct version of the file in their archive. OCM processed the USGS EPTs, but there will be a hole in the data for this tile. This hole is in the southern part of Terrebonne basin area and covers a small area of undeveloped, uninhabited marsh. Also noted during the review was that there were class 11 points that appear to be overlap unclassified and overlap ground. The original metadata and report do not list class 11 as an included classification in this dataset. They do list Class 15 as withheld ground and Class 16 as withheld unclassified, ss seen in Process Step 5 above). These points also look to have the withheld bit set. At some time, these points must have been converted from class 15 and 16 to Class 11. 2024-10-15T00:00:00 Office for Coastal Management processor USGS AWS Entwine Point Tile (EPT) USGS https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_LA_SoTerrebonne_GI_2015_LAS_2016/ept.json WWW:LINK-1.0-http--link Entwine Point Tile Source Citation URL information publisher Leica ALS70 Topographic Lidar The Leica ALS70 is a single family of systems that offers a level of flexibility and productivity, without compromising on quality and accuracy. Three models, Leica ALS70-CM, Leica ALS70-HP and Leica ALS70-HA, share a common platform (of a high-performance laser, scanner, range counting electronics, position/attitude measurement subsystem and user interface, flight planning and execution software), to create a range of laser scanners. Leica ALS80 Lidar