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2022 USGS Topobathy Lidar: Breton Island, LA
 (MI_Metadata)
    fileIdentifier:  gov.noaa.nmfs.inport:73929
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                city:  Charleston
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      DateTime:  2024-12-09T20:39:39
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                title:  NAD83(2011) / UTM zone 16N
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                    date:  2008-11-12
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        citation:  (CI_Citation)
            title:  2022 USGS Topobathy Lidar: Breton Island, LA
            alternateTitle:  la2022_breton_m10222_metadata
            date:  (CI_Date)
                date:  2022
                dateType:  (CI_DateTypeCode) creation
            date:  (CI_Date)
                date:  2024-07-30
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                  Anchor:  InPort Catalog ID 73929
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                        linkage: https://www.fisheries.noaa.gov/inport/item/73929
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                        name:  Full Metadata Record
                        description:  View the complete metadata record on InPort for more information about this dataset.
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                        linkage: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/LA_BretonIslandTB_D22/
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                        name:  USGS Additional Info
                        description:  Link to the additional information available for this data set from the USGS. This information includes reports and tile index shapefiles.
                        function:  (CI_OnLineFunctionCode) download
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                        linkage: https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/LA_BretonIslandTB_D22/LA_BretonIsl_Topobathymetric_D22/reports/LA_BretonIs_TB_Lidar_Project_Report.pdf
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                        name:  Lidar Report
                        description:  Link to the lidar report.
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                        linkage: https://coast.noaa.gov/dataviewer/
                        protocol:  WWW:LINK-1.0-http--link
                        name:  NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
                        description:  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.
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                        linkage: https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/LA_BretonIslandTB_D22/USGS_LA_BretonIslandTB_D22_ProjectReport.pdf
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                        name:  USGS Project Report
                        description:  This USGS report provides the project information, vertical accuracy results, list of classifications, sensor used, and work unit information.
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        abstract:  Original Dataset Product: These lidar data are processed Classified LAS 1.4 files, formatted to 1570 individual 500 m x 500 m tiles; used to create intensity images, land/water interface refraction extents, and topobathymetric DEMs as necessary. Original Dataset Geographic Extent: Breton, Louisiana, covering approximately 129.4 square miles. Original Dataset Description: The Louisiana Breton Topobathymetric 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 meters (QL1) for topographic areas and 0.71 meter (QL2b) for bathymetric areas. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, 2024 rev A. The data was developed based on a horizontal projection/datum of NAD83 (2011), UTM zone 16N, meters and vertical datum of NAVD88 (Geoid 18), meters. Lidar data were delivered as processed Classified LAS 1.4 files, formatted to 1570 individual 500 m x 500 m tiles, as tiled Intensity Imagery, and as tiled topobathymetric DEMs; all tiled to the same 500 m x 500 m schema. Original Dataset Ground Conditions: Lidar was collected from October 6, 2022 to November 3, 2022, while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Dewberry established 17 ground control points (GCP) and 5 bathymetric control points (BCP) that were used to calibrate the lidar to known ground positions established throughout the project area. An additional 27 independent accuracy checkpoints--20 in bare earth and urban land cover (NVA), 7 in submerged topography land cover (BVA)--were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post-process the data. This metadata supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). The NOAA Office for Coastal Management (OCM) downloaded the laz files from the USGS rockyweb site and processed the data to make it available for bulk and custom downloads from the NOAA Digital Coast Data Access Viewer (DAV). This data set contains point cloud data(' in LAZ (compressed LAS) format', ''). The data may have been reprojected or otherwise modified from the original data in an automated process. Disregard projection information in this abstract and refer to the spatial reference section.
        purpose:  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, Refraction Extents 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, Refraction Extents, and topobathymetric DEMs as necessary.
        credit:  Acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data. The custom download may be cited as National Oceanic and Atmospheric Administration (NOAA) Digital Coast Data Access Viewer. Charleston, SC: NOAA Office for Coastal Management. Accessed 2025-06-01 at https://coast.noaa.gov/dataviewer.
        status:  (MD_ProgressCode) completed
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                    voice:  (843) 740-1202
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                    deliveryPoint:  2234 South Hobson Ave
                    city:  Charleston
                    administrativeArea:  SC
                    postalCode:  29405-2413
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                    electronicMailAddress:  coastal.info@noaa.gov
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        descriptiveKeywords:  (MD_Keywords)
            keyword:  EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
            keyword:  EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY
            keyword:  EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
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                title:  Global Change Master Directory (GCMD) Science Keywords
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                edition:  17.0
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            keyword:  CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
            keyword:  CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > LOUISIANA
            keyword:  VERTICAL LOCATION > LAND SURFACE
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                date: (missing)
                edition:  20.8
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            keyword:  LIDAR > Light Detection and Ranging
            type:  (MD_KeywordTypeCode) instrument
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                title:  Global Change Master Directory (GCMD) Instrument Keywords
                date: (missing)
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            keyword:  Airplane > Airplane
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            keyword:  Lidar - partner (no harvest)
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                title:  InPort
                date: (inapplicable)
        resourceConstraints:  (MD_LegalConstraints)
            useConstraints:  (MD_RestrictionCode) otherRestrictions
            otherConstraints:   This data set was compiled dynamically. It will be removed 10 days after 2025-06-01 from the NOAA system. Cite As: OCM Partners, [Date of Access]: 2022 USGS Topobathy Lidar: Breton Island, LA [Data Date Range], https://www.fisheries.noaa.gov/inport/item/73929.
        resourceConstraints:  (MD_Constraints)
            useLimitation:  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.
        resourceConstraints:  (MD_LegalConstraints)
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            otherConstraints:   This data set was compiled dynamically. It will be removed 10 days after 2025-06-01 from the NOAA system. Access Constraints: None
        resourceConstraints:  (MD_LegalConstraints)
            useConstraints:  (MD_RestrictionCode) otherRestrictions
            otherConstraints:   This data set was compiled dynamically. It will be removed 10 days after 2025-06-01 from the NOAA system. 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.
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            otherConstraints:   This data set was compiled dynamically. It will be removed 10 days after 2025-06-01 from the NOAA system. 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.
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                title:  2022 USGS Topobathy Lidar DEM: Breton Island, LA
                date: (unknown)
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                        title:  NOAA/NMFS/EDM
                        date: (inapplicable)
                    code:  73968
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                            linkage: https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/73929.pdf
                            protocol:  WWW:LINK-1.0-http--link
                            name:  NOAA Data Management Plan (DMP)
                            description:  NOAA Data Management Plan for this record on InPort.
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        spatialRepresentationType:  (MD_SpatialRepresentationTypeCode) vector
        language:  eng; US
        topicCategory:  (MD_TopicCategoryCode) oceans
        environmentDescription:  CZMIL SuperNOVA; CARIS; LAStools; Microstation; Terrascan; ArcGIS 10.6; Microsoft Windows 10 Enterprise Service Pack 1
        extent:  (EX_Extent)
            geographicElement:  (EX_GeographicBoundingBox)
                westBoundLongitude:  -89.235407
                eastBoundLongitude:  -88.802407
                southBoundLatitude:  29.443553
                northBoundLatitude:  30.07711
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimePeriod:
                    description:  Data were collected from Oct 6 - 11, 2022. Reflights were collected on Nov 2, 3, 2022. | Currentness: Ground Condition
                    beginPosition:  2022-10-06
                    endPosition:  2022-11-03
        supplementalInformation:  USGS Contract No. 140G0222F0216 CONTRACTOR: Dewberry Engineers. Lidar data were acquired and calibrated by Dewberry. All follow-on processing was completed by Dewberry. A complete description of this dataset is available in the Final Project Report that will be submitted to the U.S. Geological Survey. The following are the USGS lidar fields in JSON: { "ldrinfo" : { "ldrspec" : "U.S. Geological Survey (USGS) - National Geospatial Program (NGP) Lidar Base Specification v 2024 Rev A", "ldrsens" : "CZMIL (Topo Channels)", "ldrmaxnr" : "15", "ldrnps" : "0.33", "ldrdens" : "9.4", "ldranps" : "0.33", "ldradens" : "9.4", "ldrfltht" : "400", "ldrfltsp" : "100", "ldrscana" : "40", "ldrscanr" : "27", "ldrpulsr" : "140", "ldrpulsd" : "1.2-2.1", "ldrpulsw" : "na", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "5", "ldrswatw" : "291", "ldrswato" : "30", "ldrgeoid" : "National Geodetic Survey (NGS) Geoid 18" }, "ldrinfo" : { "ldrspec" : "U.S. Geological Survey (USGS) - National Geospatial Program (NGP) Lidar Base Specification v2.1", "ldrsens" : "CZMIL (Shallow/Deep Bathy Channels)", "ldrmaxnr" : "15", "ldrnps" : "0.33", "ldrdens" : "9.4", "ldranps" : "0.33", "ldradens" : "9.4", "ldrfltht" : "400", "ldrfltsp" : "100", "ldrscana" : "40", "ldrscanr" : "27", "ldrpulsr" : "140", "ldrpulsd" : "1.2-2.1", "ldrpulsw" : "proprietary", "ldrwavel" : "532", "ldrmpia" : "1", "ldrbmdiv" : "5", "ldrswatw" : "291", "ldrswato" : "30", "ldrgeoid" : "National Geodetic Survey (NGS) Geoid 18" }, "ldraccur" : { "ldrchacc" : "0", "rawnva" : "0", "rawnvan" : "0" }, "lasinfo" : { "lasver" : "1.4", "lasprf" : "6", "laswheld" : "Withheld (ignore) points were identified in these files using the standard LAS Withheld bit. Noise classes, class 7 and class 18, were assigned LAS withheld bit.", "lasolap" : "The LAS overlap bit was not utilized for this dataset.", "lasintr" : "16", "lasclass" : { "clascode" : "1", "clasitem" : "Processed, Unclassified" }, "lasclass" : { "clascode" : "2", "clasitem" : "Bare Earth, Ground" }, "lasclass" : { "clascode" : "7", "clasitem" : "Low Noise" }, "lasclass" : { "clascode" : "18", "clasitem" : "High Noise" }, "lasclass" : { "clascode" : "22", "clasitem" : "Temporal" }, "lasclass" : { "clascode" : "40", "clasitem" : "Bathymetric Bottom" }, "lasclass" : { "clascode" : "41", "clasitem" : "Water Surface" }, "lasclass" : { "clascode" : "42", "clasitem" : "Synthetic Water Surface" }, "lasclass" : { "clascode" : "45", "clasitem" : "Water Column" } }}
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                protocol:  WWW:LINK-1.0-http--link
                name:  Bulk Download
                description:  Bulk download of data files in LAZ format, based on a horizontal datum/projection of UTM Zone 16, NAD83(2011), units in meters and a vertical datum of NAVD88 (GEOID18), units in meters.
                function:  (CI_OnLineFunctionCode) download
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    dataQualityInfo:  (DQ_DataQuality)
        scope:  (DQ_Scope)
            level:  (MD_ScopeCode) dataset
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Horizontal Positional Accuracy
            evaluationMethodDescription:  Only checkpoints photo-identifiable in the intensity imagery can be used to test the horizontal accuracy of the lidar. Photo-identifiable checkpoints in intensity imagery typically include checkpoints located at the ends of paint stripes on concrete or asphalt surfaces or checkpoints located at 90 degree corners of different reflectivity, e.g. a sidewalk corner adjoining a grass surface. The xy coordinates of checkpoints, as defined in the intensity imagery, are compared to surveyed xy coordinates for each photo-identifiable checkpoint. These differences are used to compute the tested horizontal accuracy of the lidar. As not all projects contain photo-identifiable checkpoints, the horizontal accuracy of the lidar cannot always be tested. Lidar vendors calibrate their lidar systems during installation of the system and then again for every project acquired. Typical calibrations include cross flights that capture features from multiple directions that allow adjustments to be performed so that the captured features are consistent between all swaths and cross flights from all directions. 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. Horizontal accuracy testing requires well-defined checkpoints that can be visually identified in the dataset. Elevation datasets, including lidar datasets, do not always contain well-defined checkpoints suitable for horizontal accuracy assessment. Dewberry reviewed all NVA checkpoints to determine which, if any, of these checkpoints were located on photo-identifiable features in the intensity imagery. This subset of checkpoints was used for horizontal accuracy testing. The horizontal accuracy testing steps used by Dewberry are summarized as follows: 1. Dewberry's team surveyed X, Y, and Z coordinates for discrete checkpoints in accordance with project specifications. Dewberry targeted half of the NVA checkpoints for location on features that would photo-identifiable in the intensity imagery. 2. Following initial processing, Dewberry located the photo-identifiable features in the intensity imagery. 3. Dewberry computed the differences in X and Y values between the surveyed coordinates and the lidar coordinates of the photo-identifiable feature. 4. Horizontal accuracy was assessed based on these data using NSSDA methodology where horizontal accuracy is calculated at the 95% confidence level.
            result: (missing)
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Vertical Positional Accuracy
            evaluationMethodDescription:  USGS Determined Vertical Accuracy Non-Vegetated Vertical Accuracy (NVA) = 9.56 cm RMSE Bathymetric Vertical Accuracy (BVA) = 50.86 cm at the 95th Percentile
            result: (missing)
        report:  (DQ_CompletenessCommission)
            nameOfMeasure:  Completeness Report
            evaluationMethodDescription:  Topobathymetric data covers the project boundary to the fullest extent possible depending on water clarity, environmental conditions, and sensor signal returns. The raw point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications.
            result: (missing)
        report:  (DQ_ConceptualConsistency)
            nameOfMeasure:  Conceptual Consistency
            evaluationMethodDescription:  Data covers the entire area specified for this project.
            result: (missing)
        lineage:  (LI_Lineage)
            statement:  The NOAA Office for Coastal Management (OCM) downloaded the laz files from the USGS rockyweb site and processed the data to make it available for bulk and custom downloads from the NOAA Digital Coast Data Access Viewer (DAV).
            processStep:  (LI_ProcessStep)
                description:  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 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 RMSEz 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 2024 rev A. Bare earth DEMs were exported from the classified point cloud.
                dateTime:
                  DateTime:  2024-03-28T00:00:00
            processStep:  (LI_ProcessStep)
                description:  Dewberry used algoritms in TerraScan to create the intial ground/submerged topography surface. Dewberry used rasterized aggregate extents of refracted points to create automated 2-D breaklines with LAStools and ArcGIS. Light travels at different speeds in air versus water and its speed and direction of travel change when it enters the water column. The refraction correction process accounts for this difference by adjusting the depth (distance traveled) and horizontal position (change of angle/direction) of the lidar points acquired within water. These breaklines delineate areas where the refraction correction was applied to the lidar data by Dewberry proprietary refraction correction tool. Dewberry used the 2-D refraction extents and additional bathy features to classify the bathymetric bottom and ground points properly in TerraScan. The withheld bit was set on class 7 and class 18 in TerraScan after all classification was complete. All lidar data was peer-reviewed. Dewberry's QAQC also included creating void polygons for use during review. All necessary edits were applied to the dataset. LASTools software was used to update LAS header information, including all projection and coordinate reference system information. The final lidar data are in LAS format 1.4 and point data record format 6. All data was then verified by an Independent QC department within Dewberry. The independent QC was performed by separate analysts who did not perform manual classification or editing. The independent QC involved quantitative and qualitative reviews.
                dateTime:
                  DateTime:  2024-04-05T00:00:00
            processStep:  (LI_ProcessStep)
                description:  Data was tested at 0.30 meter nominal pulse spacing and 11.02 points per square meter (ppsm). The average density was tested on the LAS data using geometrically reliable (withheld and noise points excluded) first-return points. (A)NPD was tested using rasters which produce the average number of points within each cell.
                dateTime:
                  DateTime:  2024-04-05T00:00:00
            processStep:  (LI_ProcessStep)
                description:  The Office for Coastal Management (OCM) downloaded laz files from the USGS rockyweb site for the Breton Island, LA topobathy dataset. The data were in UTM Zone 16N, NAD83(2011), meters coordinates and NAVD88 (Geoid18) elevations in meters. The points were classified as 1- Unclassified, 2 - Ground, 7 - Low Noise, 18 - High Noise, 22 - Temporal Exclusion, 40 - Bathymetric Bottom, 41 - Water Surface, 42 - Synthetic Water Surface, 45 - Water Column. The classes available on DAV are: 1, 2, 7, 18, 22, 40, 41, 42, 45. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. Internal OCM scripts were run to check the number of points by classification and by flight ID and the gps, elevation, and intensity ranges. 2. Internal OCM scripts were run on the laz files to: a. Convert from orthometric (NAVD88) elevations in meters to NAD83 (2011) ellipsoid elevations in meters using the Geoid18 model b. Convert the laz files from UTM Zone 16N, NAD83(2011), meters coordinates to geographic coordinates c. Assign the geokeys, sort the data by gps time and zip the data to database
                dateTime:
                  DateTime:  2024-12-09T00:00:00
                processor:  (CI_ResponsibleParty)
                    organisationName:  Office for Coastal Management
                    role:  (CI_RoleCode) processor
            source:  (LI_Source)
                sourceCitation:  (CI_Citation)
                    title:  USGS Rockyweb LAZ Files
                    date: (missing)
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  USGS
                        contactInfo:  (CI_Contact)
                            onlineResource:  (CI_OnlineResource)
                                linkage: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/LA_BretonIslandTB_D22/LA_BretonIsl_Topobathymetric_D22/LAZ/
                                protocol:  WWW:LINK-1.0-http--link
                                name:  USGS Rockyweb LAZ Files
                                description:  Source Citation URL
                                function:  (CI_OnLineFunctionCode) information
                        role:  (CI_RoleCode) publisher
            processStep:  (LI_ProcessStep)
                description:   The dataset has been mosaiced, reprojected, and clipped as needed from the original input files using PDAL and GDAL commands.
                dateTime:
                  DateTime:  2025-06-01
                processor:  (CI_ResponsibleParty)
                    individualName:  NOAA Office for Coastal Management
                    contactInfo:  (CI_Contact)
                        address:  (CI_Address)
                            electronicMailAddress:  coastal.info@noaa.gov
                    role:  (CI_RoleCode) processor