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2017 Lidar (0.5 m) DEM: Eastern Maine - Merrymeeting Bay
 (MI_Metadata)
    fileIdentifier:  gov.noaa.nmfs.inport:57187
    language:
      LanguageCode:  eng
    characterSet:  (MD_CharacterSetCode) UTF8
    hierarchyLevel:  (MD_ScopeCode) dataset
    hierarchyLevelName:  Elevation
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        organisationName:  OCM Partners
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        organisationName:  NOAA Office for Coastal Management
        contactInfo:  (CI_Contact)
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                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
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                description:  NOAA Office for Coastal Management Home Page
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    dateStamp:
      DateTime:  2019-08-09T13:26:25
    metadataStandardName:  ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data
    metadataStandardVersion:  ISO 19115-2:2009(E)
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        referenceSystemIdentifier:  (RS_Identifier)
            code:  EPSG::6348
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    identificationInfo:  (MD_DataIdentification)
        citation:  (CI_Citation)
            title:  2017 Lidar (0.5 m) DEM: Eastern Maine - Merrymeeting Bay
            alternateTitle:  me2017_mmtg_0.5_dem_m8808_metadata
            date:  (CI_Date)
                date:  2019-08-09
                dateType:  (CI_DateTypeCode) creation
            date:  (CI_Date)
                date:  2018-03-30
                dateType:  (CI_DateTypeCode) publication
            identifier:  (MD_Identifier)
                authority:  (CI_Citation)
                    title:  NOAA/NMFS/EDM
                    date: (inapplicable)
                code:
                  Anchor:  InPort Catalog ID 57187
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                    onlineResource:  (CI_OnlineResource)
                        linkage: https://coast.noaa.gov/
                        protocol:  WWW:LINK-1.0-http--link
                        name:  NOAA's Office for Coastal Management (OCM) website
                        description:  Information on the NOAA Office for Coastal Management (OCM)
                        function:  (CI_OnLineFunctionCode) download
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                        linkage: https://coast.noaa.gov/htdata/lidar3_z/geoid12b/data/8772/supplemental/FOCUSonAcc_Maine_2017_LiDAR_20180424_115518.pdf
                        protocol:  WWW:LINK-1.0-http--link
                        name:  Dataset report
                        description:  Link to data set report.
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                        linkage: https://coast.noaa.gov/htdata/lidar3_z/geoid12b/data/8772/supplemental/Maine_ProjectReport_Deliverable.pdf
                        protocol:  WWW:LINK-1.0-http--link
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                        description:  Link to data set report.
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                        linkage: https://coast.noaa.gov/htdata/lidar3_z/geoid12b/data/8772/supplemental/Final_Maine_Survey_Report.pdf
                        protocol:  WWW:LINK-1.0-http--link
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                        linkage: https://coast.noaa.gov/htdata/lidar3_z/geoid12b/data/8772/supplemental/Maine_2017_LiDAR_FOCUS_Report.pdf
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                        description:  Link to data set report.
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                        linkage: https://coast.noaa.gov/htdata/lidar3_z/geoid12b/data/8772/breaklines/
                        protocol:  WWW:LINK-1.0-http--link
                        name:   Citation URL
                        description:  Link to the hydro 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
                role: (inapplicable)
            presentationForm: (unknown)
        abstract:  A separate, specific metadata record was not provided for this data set, so the DEM metadata record for the larger data collection, 2017 Lidar DEM: Eastern Maine was used. Where available, information specific to this smaller collection has been included. The NOAA Office for Coastal Management (OCM) received 19 DEM files from the State of Maine. OCM processed the data to be available on the Digital Coast Data Access Viewer (DAV) and for bulk download. This 0.5 m DEM covers a small area in southern Maine. The lidar data was collected at the same time as a much larger data set in eastern Maine, but was provided at 8 points per square meter. A 0.25 m resolution DEM is also available for the same area. See the Related Items section of this metadata record for a link to that data set metadata record. In addition to these bare earth Digital Elevation Model (DEM) data, the lidar point data that these DEM data were created from, are also available. A link to the metadata record for this data set is provided in the Related Items section. Additionally, the hydro breaklines are available. See the URL section of this metadata record for a link to the hydro breaklines. Product: These are Digital Elevation Model (DEM) data for the Maine 2017 LiDAR QL2 - Delivery #2 area in Aroostook, Hancock, Penobscot, Piscataquis, Sagadahoc, Somerset, and Washington Counties, Maine as part of the required deliverables for the 2017 Maine LiDAR project. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create 0.25-meter, 0.5-meter, and 1-meter hydro-flattened raster DEMs. Geographic Extent: Merrymeeting Bay, ME in Sagadahoc County, covering approximately 2 square miles. Maine 2017 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. 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 eastern AOI was developed based on a horizontal projection/datum of NAD83 (2011) UTM Zone 19, meters and vertical datum of NAVD88 (GEOID12B), meters. LiDAR data was delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS 1.4 files formatted to 11,133 individual 1,500-meter x 1,500-meter tiles, 63 individual 750-meter x 750-meter tiles, and 36 individual 500-meter x 500-meter tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 1,500-meter x 1,500-meter schema. Continuous hydro-flattened breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in the spring and fall of 2017, 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. established a total of 181 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 301 independent accuracy checkpoints, 178 in Bare Earth and Urban landcovers (178 NVA points), 123 in Forested, Shrubs, and Tall Weeds categories (123 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the 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.
        status:  (MD_ProgressCode) completed
        pointOfContact:  (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:  Website
                    description:  NOAA Office for Coastal Management Home Page
                    function:  (CI_OnLineFunctionCode) information
            role:  (CI_RoleCode) pointOfContact
        pointOfContact:  (CI_ResponsibleParty)
            organisationName:  NOAA Office for Coastal Management
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                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:  Website
                    description:  NOAA Office for Coastal Management Home Page
                    function:  (CI_OnLineFunctionCode) information
            role:  (CI_RoleCode) custodian
        resourceMaintenance:  (MD_MaintenanceInformation)
            maintenanceAndUpdateFrequency:  (MD_MaintenanceFrequencyCode) notPlanned
        graphicOverview:  (MD_BrowseGraphic)
            fileName: https://coast.noaa.gov/htdata/lidar3_z/geoid12b/data/8772/supplemental/me2017_mmtgbay_8ppsm_m8772.kmz
            fileDescription:  This graphic displays the footprint for this lidar data set.
            fileType:  KML
        descriptiveKeywords:  (MD_Keywords)
            keyword:  DEM
            keyword:  Elevation Data
            keyword:  Lidar
            keyword:  Model
            keyword:  Raster
            keyword:  Remote Sensing
            type:  (MD_KeywordTypeCode) theme
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Earth Science > Land Surface > Topography > Terrain Elevation
            keyword:  Earth Science > Oceans > Coastal Processes > Coastal Elevation
            keyword:  elevation
            type:  (MD_KeywordTypeCode) theme
            thesaurusName:  (CI_Citation)
                title:  Global Change Master Directory (GCMD) Science Keywords
                date: (missing)
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Merrymeeting Bay
            keyword:  Sagadahoc County
            keyword:  U.S. Coastline
            type:  (MD_KeywordTypeCode) place
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Continent > North America > United States Of America > Maine
            keyword:  Vertical Location > Land Surface
            type:  (MD_KeywordTypeCode) place
            thesaurusName:  (CI_Citation)
                title:  Global Change Master Directory (GCMD) Location Keywords
                date: (missing)
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Earth Remote Sensing Instruments > Active Remote Sensing > Profilers/Sounders > Lidar/Laser Sounders > LIDAR > Light Detection and Ranging
            type:  (MD_KeywordTypeCode) instrument
            thesaurusName:  (CI_Citation)
                title:  Global Change Master Directory (GCMD) Instrument Keywords
                date: (missing)
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Aircraft > Aircraft
            type:  (MD_KeywordTypeCode) platform
            thesaurusName:  (CI_Citation)
                title:  Global Change Master Directory (GCMD) Platform Keywords
                date: (missing)
        descriptiveKeywords:  (MD_Keywords)
            keyword:  DEMs - partner (no harvest)
            type:  (MD_KeywordTypeCode) project
            thesaurusName:  (CI_Citation)
                title:  InPort
                date: (inapplicable)
        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)
            accessConstraints:  (MD_RestrictionCode) otherRestrictions
            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: In no event shall the creators, custodians, or distributors of these data be liable for any damages arising out of its use, or from the inability of the customer to use these data for their intended application. Any conclusions drawn from the analysis of this information are not the responsibility of the State of Maine, NOAA, the Office for Coastal Management or its partners.
        resourceConstraints:  (MD_SecurityConstraints)
            classification:  (MD_ClassificationCode) unclassified
            classificationSystem: (missing)
            handlingDescription: (missing)
        aggregationInfo:  (MD_AggregateInformation)
            aggregateDataSetName:  (CI_Citation)
                title:  2017 Lidar (8 PPSM): Eastern Maine - Merrymeeting Bay
                date: (unknown)
                identifier:  (MD_Identifier)
                    authority:  (CI_Citation)
                        title:  NOAA/NMFS/EDM
                        date: (inapplicable)
                    code:  56959
            associationType:  (DS_AssociationTypeCode) crossReference
        language:  eng; US
        topicCategory:  (MD_TopicCategoryCode) elevation
        extent:  (EX_Extent)
            geographicElement:  (EX_GeographicBoundingBox)
                westBoundLongitude:  -69.901956
                eastBoundLongitude:  -69.867084
                southBoundLatitude:  43.951092
                northBoundLatitude:  44.004341
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimeInstant:
                    description:   | Currentness: Ground Condition
                    timePosition:  2017-04-30
        supplementalInformation:  Raster File Type = IMG Bit Depth/Pixel Type = 32-bit float Raster Cell Size = 0.5 Meter Interpolation or Resampling Technique = Triangulated Irregular Network (TIN), Linear Interpolation, Proprietary
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    distributionInfo:  (MD_Distribution)
        distributionFormat:  (MD_Format)
            name:  Zip
            version: (missing)
            fileDecompressionTechnique:  Zip
        distributionFormat:  (MD_Format)
            name:  GeoTIFF
            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:  Website
                        description:  NOAA Office for Coastal Management Home Page
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                role:  (CI_RoleCode) distributor
        transferOptions:  (MD_DigitalTransferOptions)
            onLine:  (CI_OnlineResource)
                linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8808
                protocol:  WWW:LINK-1.0-http--link
                name:  Customized Download
                description:  Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base.
                function:  (CI_OnLineFunctionCode) download
        transferOptions:  (MD_DigitalTransferOptions)
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                linkage: https://coast.noaa.gov/htdata/raster2/elevation/ME_Merrymtg_0.5_DEM_2017_8808
                protocol:  WWW:LINK-1.0-http--link
                name:  Bulk Download
                description:  Bulk download of data files in the original coordinate system.
                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 the accuracy (ACCz) of the derived DEM be calculated and reported in two ways: 1. The required NVA is: 19.6 cm at a 95% confidence level, derived according to the ASPRS Positional Accuracy Standards for Geospatial Data, i.e., based on RMSE of 10 cm in the "bare earth" and "urban" land cover classes. This is a required accuracy. The NVA was tested with 178 checkpoints located in bare earth and urban (non-vegetated) areas. 2. Vegetated Vertical Accuracy (VVA): VVA shall be reported for "forested", "shrubs", and "tall weeds" land cover classes. The target VVA is: 29.4 cm at the 95th percentile, derived according to ASPRS Guidelines, Vertical Accuracy Reporting for LiDAR Data, i.e., based on the 95th percentile error in all vegetated land cover classes combined. This is a target accuracy. The VVA was tested with 123 checkpoints located in forested, shrubs, and tall weeds (vegetated) areas. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies. 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 ASPRS Positional Accuracy Standards for Geospatial Data; assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines.This data set 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 = 5.1 cm, equating to 9.9 cm at 95% confidence level. The NVA of the DEM was calculated using 178 independent checkpoints located in the Bare Earth and Urban land cover categories. This data set 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 = 5.1 cm, equating to 9.9 cm at 95% confidence level. Actual VVA accuracy was found to be 25.5 cm at the 95th percentile. VVA was calculated using 123 checkpoints located in the Forested, Shrubs, and Tall Weeds land cover categories at the 95th percentile, derived according to ASPRS Guidelines, Vertical Accuracy Reporting for LiDAR Data. Tested against the DEM.
            result: (missing)
        report:  (DQ_CompletenessCommission)
            nameOfMeasure:  Completeness Report
            evaluationMethodDescription:  Datasets contain complete coverage of tiles. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. There are no void areas or missing data. 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: (missing)
            processStep:  (LI_ProcessStep)
                description:  Hydro-Flattened Raster DEM Processing: Class 2 (Ground) LiDAR points in conjunction with the hydro-breaklines were used to create a 1-meter hydro-flattened raster DEM. Using proprietary QSI software, an ERDAS Imagine .IMG file was created for each tile using a linear interpolation method. Each surface is reviewed using Global Mapper to check for any surface anomalies or incorrect elevations found within the surface.
                dateTime:
                  DateTime:  2017-01-01T00:00:00
            processStep:  (LI_ProcessStep)
                description:  The NOAA Office for Coastal Management (OCM) received 19 raster DEM img format files from the State of Maine GIS. The data were in UTM Zone 19 NAD83(2011) meters coordinates and NAVD88 (Geoid12b) elevations in meters. The DEMs are at 0.5 m grid spacing. A separate, specific metadata record was not provided for this data set, so the DEM metadata record for the larger data collection, 2017 Lidar DEM: Eastern Maine was used. Where available, information specific to this smaller collection has been included. OCM did the following processing to the data for Digital Coast storage and provisioning purposes: 1. Converted the files from img format to tif format using gdal_translate 2. Assigned EPSG codes using gdal_translate 3. Copied the files to https
                dateTime:
                  DateTime:  2019-08-09T00:00:00
                processor:  (CI_ResponsibleParty)
                    organisationName:  Office for Coastal Management
                    role:  (CI_RoleCode) processor