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2016 - 2018 USGS Lidar: Umbagog (NH, ME)
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                city:  Charleston
                administrativeArea:  SC
                postalCode:  29405-2413
                country: (missing)
                electronicMailAddress:  coastal.info@noaa.gov
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      DateTime:  2023-05-30T18:10:32
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                title:  North American Vertical Datum of 1988 (NAVD88) (GEOID18) meters
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    identificationInfo:  (MD_DataIdentification)
        citation:  (CI_Citation)
            title:  2016 - 2018 USGS Lidar: Umbagog (NH, ME)
            alternateTitle:  nh2016_umbagog_m8970_metadata
            date:  (CI_Date)
                date:  2019-12-20
                dateType:  (CI_DateTypeCode) creation
            date:  (CI_Date)
                date:  2018-08-30
                dateType:  (CI_DateTypeCode) publication
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                    title:  NOAA/NMFS/EDM
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                code:
                  Anchor:  InPort Catalog ID 58363
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                organisationName: (inapplicable)
                contactInfo:  (CI_Contact)
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                        linkage: https://www.fisheries.noaa.gov/inport/item/58363
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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://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8970/supplemental/ProjectReport.pdf
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                        linkage: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8970/supplemental/USGS_Umbagog_LiDAR_FOCUSonAcc_20180830_134539.pdf
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                        linkage: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8970/supplemental/Umbagog_MOD2_AOI_FOCUS_Report.pdf
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                        linkage: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8970/breaklines/
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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.
                        function:  (CI_OnLineFunctionCode) download
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        abstract:  Geographic Extent: Partial coverage of six counties in New Hampshire and Maine, covering approximately 3,276 total square miles. Dataset Description: The Umbagog NH/ME 2016 LiDAR project called for the planning, acquisition, processing, and derivative products of LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meters for the New Hampshire, Maine, and FEMA R1 (MOD1) areas of interest. The White Mountain National Forest NH/ME areas of interest used LiDAR collected at 0.57 meters NPS, with the MOD2 WMNF add on collected at 0.35 NPS. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.2. The data for counties in the AOI were developed based on a horizontal projection/datum of NAD83 (2011), UTM Zone 19, meters and vertical datum of NAVD88 (GEOID12B), meters. LiDAR data were delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS 1.4 files formatted to 3,465 individual 1,500-meter x 1,500-meter tiles, along with 33 individual 2,000-meter x 2,000-meter tiles for the MOD2 WMNF add on area of interest, as tiled 1-meter intensity imagery in GeoTIFF format, and as tiled 1-meter hydro-flattened bare earth DEMs in GeoTIFF format; all tiled to the same schema. Continuous breaklines were produced in Esri file geodatabase format. The 557 individual 1,500-meter x 1,500-meter tiles constituting the MOD1 area of interest were delivered previously and will be redelivered after USGS-mandated revisions are complete. Ground Conditions: LiDAR was collected from spring of 2016 to spring of 2018, 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, Quantum Spatial, Inc. utilized a total of 68 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 165 independent accuracy checkpoints, 95 in Bare Earth and Urban landcovers (95 NVA points), 70 in Tall Weeds categories (70 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. The NOAA Office for Coastal Management (OCM) downloaded this data set from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/ The blocks downloaded were: USGS_LPC_ME_Umbagog_2016_LAS_2019/ Number of files: 563 USGS_LPC_NH_Umbagog_2016_LAS_2019/ Number of files: 3404 USGS_LPC_NH_Umbagog_QL1_2016_LAS_2019/ Number of files: 283 These files were processed to the Data Access Viewer (DAV) and https. The total number of files downloaded and processed was 4250. Hydro breaklines are also available. These data are available for download at the link provided in the URL section of this metadata record. Please note that these products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA or OCM. This data set is an LAZ (compressed LAS) format file containing LIDAR point cloud data.
        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, breaklines and raster DEMs. The purpose of these LiDAR data was to produce high accuracy 3D hydro-flattened digital elevation models (DEMs) with a 1-meter cell size. These raw LiDAR point cloud data were used to create classified LiDAR LAS files, intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.
        credit:  Quantum Spatial, Inc. 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 Jul 01, 2023 at https://coast.noaa.gov/dataviewer.
        status:  (MD_ProgressCode) completed
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            organisationName:  NOAA Office for Coastal Management
            contactInfo:  (CI_Contact)
                phone:  (CI_Telephone)
                    voice:  (843) 740-1202
                address:  (CI_Address)
                    deliveryPoint:  2234 South Hobson Ave
                    city:  Charleston
                    administrativeArea:  SC
                    postalCode:  29405-2413
                    country: (missing)
                    electronicMailAddress:  coastal.info@noaa.gov
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                    linkage: https://coast.noaa.gov
                    protocol:  WWW:LINK-1.0-http--link
                    name:  NOAA Office for Coastal Management Website
                    description:  NOAA Office for Coastal Management Home Page
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                    deliveryPoint:  2234 South Hobson Ave
                    city:  Charleston
                    administrativeArea:  SC
                    postalCode:  29405-2413
                    country: (missing)
                    electronicMailAddress:  coastal.info@noaa.gov
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                    linkage: https://coast.noaa.gov
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        graphicOverview:  (MD_BrowseGraphic)
            fileName: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8970/supplemental/nh2016_umbagog_m8970.kmz
            fileDescription:  This graphic displays the footprint for this lidar data set.
            fileType:  KML
        descriptiveKeywords:  (MD_Keywords)
            keyword:  EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
            type:  (MD_KeywordTypeCode) theme
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                title:  Global Change Master Directory (GCMD) Science Keywords
                date: (missing)
                edition:  12.3
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            keyword:  CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
            keyword:  CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MAINE
            keyword:  CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > NEW HAMPSHIRE
            keyword:  VERTICAL LOCATION > LAND SURFACE
            type:  (MD_KeywordTypeCode) place
            thesaurusName:  (CI_Citation)
                title:  Global Change Master Directory (GCMD) Location Keywords
                date: (missing)
                edition:  12.3
        descriptiveKeywords:  (MD_Keywords)
            keyword:  LIDAR > Light Detection and Ranging
            type:  (MD_KeywordTypeCode) instrument
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                title:  Global Change Master Directory (GCMD) Instrument Keywords
                date: (missing)
                edition:  14.9
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            keyword:  Airplane > Airplane
            type:  (MD_KeywordTypeCode) platform
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                title:  Global Change Master Directory (GCMD) Platform Keywords
                date: (missing)
                edition:  14.9
        descriptiveKeywords:  (MD_Keywords)
            keyword:  beach
            keyword:  erosion
            type:  (MD_KeywordTypeCode) theme
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Lidar - partner (no harvest)
            type:  (MD_KeywordTypeCode) project
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                title:  InPort
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            otherConstraints:  Cite As: OCM Partners, [Date of Access]: 2016 - 2018 USGS Lidar: Umbagog (NH, ME) [Data Date Range], https://www.fisheries.noaa.gov/inport/item/58363.
        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.
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            useConstraints:  (MD_RestrictionCode) otherRestrictions
            otherConstraints:  Access Constraints: None | 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. | Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of Quantum Spatial, Inc., the USGS, NOAA, the Office for Coastal Management or its partners.
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            classification:  (MD_ClassificationCode) unclassified
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                title:  NOAA Data Management Plan (DMP)
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                    code:  58363
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                            linkage: https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/58363.pdf
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                            name:  NOAA Data Management Plan (DMP)
                            description:  NOAA Data Management Plan for this record on InPort.
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            associationType:  (DS_AssociationTypeCode) crossReference
        spatialRepresentationType:  (MD_SpatialRepresentationTypeCode) vector
        language:  eng; US
        topicCategory:  (MD_TopicCategoryCode) elevation
        extent:  (EX_Extent)
            geographicElement:  (EX_GeographicBoundingBox)
                westBoundLongitude:  -71.89806619
                eastBoundLongitude:  -68.03456018
                southBoundLatitude:  43.81159987
                northBoundLatitude:  46.18740983
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimePeriod:
                    description:   | Currentness: Ground Condition
                    beginPosition:  2016-04-10
                    endPosition:  2018-05-24
        supplementalInformation:  USGS Contract No. G16PC00016, Task Order No. G16PD01240; CONTRACTOR: Quantum Spatial, Inc. SUBCONTRACTOR: Keystone Aerial Surveys, Inc. LiDAR data were acquired by Keystone Aerial Surveys, Inc. All follow-on processing was completed by the prime contractor. The following are the USGS lidar fields in JSON: { "ldrinfo" : { "ldrspec" : "USGS-NGP Base Specification v1.2", "ldrsens" : "Optech Galaxy T1000", "ldrmaxnr" : "8", "ldrnps" : "0.7", "ldrdens" : "2", "ldranps" : "0.67", "ldradens" : "2.21", "ldrfltht" : "2100", "ldrfltsp" : "150", "ldrscana" : "20", "ldrscanr" : "53.4", "ldrpulsr" : "260.4", "ldrpulsd" : "3", "ldrpulsw" : "0.525", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.25", "ldrswatw" : "1528.67", "ldrswato" : "47", "ldrgeoid" : "GEOID12B", "ldrcrs" : "NAD83 (2011) UTM 19N, meters" }, "ldrinfo" : { "ldrspec" : "USGS-NGP Base Specification v1.2", "ldrsens" : "Leica ALS70", "ldrmaxnr" : "4", "ldrnps" : "0.7", "ldrdens" : "2", "ldranps" : "0.61", "ldradens" : "2.21", "ldrfltht" : "2100", "ldrfltsp" : "140", "ldrscana" : "18", "ldrscanr" : "56", "ldrpulsr" : "262.6", "ldrpulsd" : "4", "ldrpulsw" : "0.46", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.22", "ldrswatw" : "1364.66", "ldrswato" : "30", "ldrgeoid" : "GEOID12B", "ldrcrs" : "NAD83 (2011) UTM 19N, meters" }, "ldrinfo" : { "ldrspec" : "USGS-NGP Base Specification v1.2", "ldrsens" : "Riegl Q1560", "ldrmaxnr" : "unlimited", "ldrnps" : "0.35", "ldrdens" : "8", "ldranps" : "0.44", "ldradens" : "5.17", "ldrfltht" : "2300", "ldrfltsp" : "130", "ldrscana" : "18", "ldrscanr" : "67.6", "ldrpulsr" : "251.8", "ldrpulsd" : "3", "ldrpulsw" : "0.58", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.25", "ldrswatw" : "728.57", "ldrswato" : "46", "ldrgeoid" : "GEOID12B", "ldrcrs" : "NAD83 (2011) UTM 19N, meters" }, "ldraccur" : { "ldrchacc" : "0.196", "rawnva" : "0.118", "rawnvan" : "95" }, "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" : "In-land Water" }, "lasclass" : { "clascode" : "10", "clasitem" : "Ignored Ground" }, "lasclass" : { "clascode" : "17", "clasitem" : "Bridge Decks" }, "lasclass" : { "clascode" : "18", "clasitem" : "High Noise" } }}
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    distributionInfo:  (MD_Distribution)
        distributionFormat:  (MD_Format)
            name:  Zip
            version: (missing)
            fileDecompressionTechnique:  Zip
        distributionFormat:  (MD_Format)
            name:  LAZ
            version: (missing)
        distributor:  (MD_Distributor)
            distributorContact:  (CI_ResponsibleParty)
                organisationName:  NOAA Office for Coastal Management
                contactInfo:  (CI_Contact)
                    phone:  (CI_Telephone)
                        voice:  (843) 740-1202
                    address:  (CI_Address)
                        deliveryPoint:  2234 South Hobson Ave
                        city:  Charleston
                        administrativeArea:  SC
                        postalCode:  29405-2413
                        country: (missing)
                        electronicMailAddress:  coastal.info@noaa.gov
                    onlineResource:  (CI_OnlineResource)
                        linkage: https://coast.noaa.gov
                        protocol:  WWW:LINK-1.0-http--link
                        name:  NOAA Office for Coastal Management Website
                        description:  NOAA Office for Coastal Management Home Page
                        function:  (CI_OnLineFunctionCode) information
                role:  (CI_RoleCode) distributor
        transferOptions:  (MD_DigitalTransferOptions)
            onLine:  (CI_OnlineResource)
                linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8970
                protocol:  WWW:LINK-1.0-http--link
                name:  Customized Download
                description:  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.
                function:  (CI_OnLineFunctionCode) download
        transferOptions:  (MD_DigitalTransferOptions)
            onLine:  (CI_OnlineResource)
                linkage: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8970/index.html
                protocol:  WWW:LINK-1.0-http--link
                name:  Bulk Download
                description:  Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum.
                function:  (CI_OnLineFunctionCode) download
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    dataQualityInfo:  (DQ_DataQuality)
        scope:  (DQ_Scope)
            level:  (MD_ScopeCode) dataset
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Vertical Positional Accuracy
            evaluationMethodDescription:  The project specifications require that only Non-Vegetated Vertical Accuracy (NVA) be computed for raw lidar point cloud swath files. The required accuracy (ACCz) is: 19.6 cm at a 95% confidence level, derived according to NSSDA, i.e., based on RMSE of 10 cm in the “bare earth” and “urban” land cover classes. The NVA was tested with 95 checkpoints located in bare earth and urban (non-vegetated) areas. These check points were not used in the calibration or post processing of the lidar point cloud data. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies. Elevations from the unclassified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the lidar surface were then compared to the elevation values of the surveyed control points. AccuracyZ has been tested to meet 19.6 cm or better Non-Vegetated Vertical Accuracy at 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines. Non Vegetated Accuracy (NVA) = 5.9 cm RMSE
            result: (missing)
        report:  (DQ_CompletenessCommission)
            nameOfMeasure:  Completeness Report
            evaluationMethodDescription:  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.
            result: (missing)
        report:  (DQ_ConceptualConsistency)
            nameOfMeasure:  Conceptual Consistency
            evaluationMethodDescription:  Data cover the entire area specified for this project.
            result: (missing)
        lineage:  (LI_Lineage)
            statement: (missing)
            processStep:  (LI_ProcessStep)
                description:  LAS Point Classification: The point classification was performed as described below. The bare earth surface was manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface was finalized, it was 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-flattened breaklines were then classified to Water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 1 meter 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 were manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper was 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. Quantum Spatial, Inc. 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.
                dateTime:
                  DateTime:  2018-01-01T00:00:00
            processStep:  (LI_ProcessStep)
                description:  The NOAA Office for Coastal Management (OCM) downloaded this data set from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/ The blocks downloaded were: USGS_LPC_ME_Umbagog_2016_LAS_2019/ Number of files: 563 USGS_LPC_NH_Umbagog_2016_LAS_2019/ Number of files: 3404 USGS_LPC_NH_Umbagog_QL1_2016_LAS_2019/ Number of files: 283 These files were processed to the Data Access Viewer (DAV) and https. The total number of files downloaded and processed was 4250. The data were in UTM Zone 19 (NAD83 2011) coordinates and NAVD88 (Geoid12B) elevations in meters. The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 10 - Ignored Ground, 17 - Bridge Decks, 18 - High Noise. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 3, 7, 9, 10, 17, 18. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges. 2. Internal OCM scripts were run on the laz files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid 12B model, to convert from UTM Zone 19 (NAD83 2011) coordinates in meters to geographic coordinates, to assign the geokeys, to sort the data by gps time and zip the data to database and to http.
                dateTime:
                  DateTime:  2019-12-20T00:00:00
                processor:  (CI_ResponsibleParty)
                    organisationName:  Office for Coastal Management
                    role:  (CI_RoleCode) processor
            processStep:  (LI_ProcessStep)
                description:   The vertical values in this data set have been converted to reference North American Vertical Datum of 1988 (NAVD88) (GEOID18) meters, using the GEOID18 grids provided by the National Geodetic Survey. Any datum and projection transformations were then done with the Office for Coastal Management 'datum_shift' program. Compression to an LAZ file was done with the LAStools 'laszip' program and can be unzipped with the same free program (laszip.org) Processing notes:
                dateTime:
                  DateTime:  2023-07-01T09:34:56
                processor:  (CI_ResponsibleParty)
                    individualName:  NOAA Office for Coastal Management
                    contactInfo:  (CI_Contact)
                        address:  (CI_Address)
                            electronicMailAddress:  coastal.info@noaa.gov
                    role:  (CI_RoleCode) processor