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2015 FEMA Lidar: Michigan Part 3 (Baraga, Marquette Counties)
 (MI_Metadata)
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    contact:  (CI_ResponsibleParty)
        organisationName:  OCM Partners
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                voice:  (843) 740-1202
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                city:  Charleston
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    identificationInfo:  (MD_DataIdentification)
        citation:  (CI_Citation)
            title:  2015 FEMA Lidar: Michigan Part 3 (Baraga, Marquette Counties)
            alternateTitle:  mi2015_bar_marq_m9009_metadata
            date:  (CI_Date)
                date:  2015
                dateType:  (CI_DateTypeCode) publication
            identifier:  (MD_Identifier)
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                    title:  NOAA/NMFS/EDM
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                  Anchor:  InPort Catalog ID 58730
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                contactInfo:  (CI_Contact)
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                        linkage: https://www.fisheries.noaa.gov/inport/item/58730
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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/geoid18/9009/breaklines/index.html
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                        linkage: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9009/supplemental/Final_Report_Michigan_LiDAR_2015.docx
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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:  This metadata record describes the Classified Point Cloud (LAS) for the 2015 Michigan LiDAR project covering approximately 1069 square miles in Baraga County and approximately 3425 square miles in Marquette County. The NOAA Office for Coastal Management (OCM) downloaded 2 data sets from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/ The data sets downloaded were: USGS_LPC_MI_Baraga_2015_LAS_2018/ Number of files: 4381 USGS_LPC_MI_Marquette_2015_LAS_2018/ Number of files: 8705 These files were processed to the Data Access Viewer (DAV) and https. The total number of files downloaded and processed was 13,086. 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 hydrologic modeling. LAS data products are suitable for 1 foot contour generation. USGS LiDAR Base Specification 1.0, QL2. 24.5 cm FVA.
        credit:  State of Michigan (SOM) 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 18, 2024 at https://coast.noaa.gov/dataviewer.
        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:  NOAA Office for Coastal Management Website
                    description:  NOAA Office for Coastal Management Home Page
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                    voice:  (843) 740-1202
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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
                    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) custodian
        resourceMaintenance:  (MD_MaintenanceInformation)
            maintenanceAndUpdateFrequency:  (MD_MaintenanceFrequencyCode) unknown
        graphicOverview:  (MD_BrowseGraphic)
            fileName: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9009/supplemental/mi2015_part3_m9009.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
            thesaurusName:  (CI_Citation)
                title:  Global Change Master Directory (GCMD) Science Keywords
                date: (missing)
                edition:  17.0
        descriptiveKeywords:  (MD_Keywords)
            keyword:  CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
            keyword:  CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MICHIGAN
            keyword:  VERTICAL LOCATION > LAND SURFACE
            type:  (MD_KeywordTypeCode) place
            thesaurusName:  (CI_Citation)
                title:  Global Change Master Directory (GCMD) Location Keywords
                date: (missing)
                edition:  17.0
        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)
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            type:  (MD_KeywordTypeCode) platform
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                title:  Global Change Master Directory (GCMD) Platform Keywords
                date: (missing)
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        descriptiveKeywords:  (MD_Keywords)
            keyword:  ALS70
            keyword:  Bare Earth
            keyword:  Contour
            keyword:  Digital Elevation Model (DEM)
            keyword:  Digital Surface Model (DSM)
            keyword:  Digital Terrain Model (DTM)
            keyword:  First Return
            keyword:  Grid
            keyword:  IMG
            keyword:  Intensity return
            keyword:  LAS
            keyword:  LiDAR
            keyword:  Overlap points
            keyword:  Unclassified points
            keyword:  Water points
            keyword:  ground points
            keyword:  mapping
            keyword:  point cloud
            type:  (MD_KeywordTypeCode) theme
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                title:  MI
                date: (missing)
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            keyword:  beach
            keyword:  erosion
            type:  (MD_KeywordTypeCode) theme
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Continent > North America > United States Of America > Michigan > Baraga County
            keyword:  Continent > North America > United States Of America > Michigan > Marquette County
            type:  (MD_KeywordTypeCode) place
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Lidar - partner (no harvest)
            type:  (MD_KeywordTypeCode) project
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                title:  InPort
                date: (inapplicable)
        resourceConstraints:  (MD_LegalConstraints)
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            otherConstraints:  Cite As: OCM Partners, [Date of Access]: 2015 FEMA Lidar: Michigan Part 3 (Baraga, Marquette Counties) [Data Date Range], https://www.fisheries.noaa.gov/inport/item/58730.
        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:  Access Constraints: None
        resourceConstraints:  (MD_LegalConstraints)
            useConstraints:  (MD_RestrictionCode) otherRestrictions
            otherConstraints:  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.
        resourceConstraints:  (MD_LegalConstraints)
            useLimitation:  (MD_RestrictionCode) otherRestrictions
            otherConstraints:  Distribution Liability: The State of Michigan Geographic Information Systems digital data have been tested and their documentation carefully reviewed. However, the State of Michigan and its representatives make no warranty or representation, either expressed or implied, with respect to the digital data and their documentation, their quality, performance, merchantability, or fitness for a particular purpose. The digital data are distributed on "as is" basis, and the user assumes all risk to their quality, the results obtained from their use, and the performance of the data. In no event will the State of Michigan or its representatives be liable for any direct, indirect, special, incidental or consequential damages resulting from and defect in the State of Michigan or in their documentation. This disclaimer of warranty is exclusive and in lieu of all others, oral or written, express or implied. No agent or employee is authorized to make any modification, extension, or addition to this warranty. Any conclusions drawn from the analysis of this information are not the responsibility of Sanborn, the State of Michigan, FEMA, USGS, NOAA, the Office for Coastal Management or its partners.
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                        title:  NOAA/NMFS/EDM
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                    code:  58730
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                            linkage: https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/58730.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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                    role: (inapplicable)
            associationType:  (DS_AssociationTypeCode) crossReference
        spatialRepresentationType:  (MD_SpatialRepresentationTypeCode) vector
        language:  eng; US
        topicCategory:  (MD_TopicCategoryCode) elevation
        environmentDescription:  Microsoft Windows 7; ESRI ArcCatalog 9.3.1.1850
        extent:  (EX_Extent)
            geographicElement:  (EX_GeographicBoundingBox)
                westBoundLongitude:  -88.676764
                eastBoundLongitude:  -87.105517
                southBoundLatitude:  45.981403
                northBoundLatitude:  46.9627
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimePeriod:
                    description:  Marquette County | Currentness: Ground Condition
                    beginPosition:  2015-05-21
                    endPosition:  2016-05-17
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimePeriod:
                    description:  Baraga County | Currentness: Ground Condition
                    beginPosition:  2015-10-25
                    endPosition:  2015-11-15
        supplementalInformation:  Project collection parameters: Projection, Datums and Units. Projection - State Plane Michigan North. Horizontal datum - North American Datum of 1983 (NAD83 (2011)). Vertical datum - North American Vertical Datum of 1988 (NAVD88) using the latest geoid (Geoid12a) for converting ellipsoidal heights to orthometric heights. Units - intl feet The following are the USGS lidar fields in JSON: { "ldrinfo" : { "ldrspec" : "USGS Base Specification 1.0, QL2 meeting 24.5cm FVA", "ldrsens" : "Leica ALS70", "ldrmaxnr" : "4", "ldrnps" : "0.65", "ldrdens" : "1.67", "ldradens" : "2.2", "ldranps" : "0.71", "ldrfltht" : "2250", "ldrfltsp" : "135", "ldrscana" : "32", "ldrscanr" : "64", "ldrpulsr" : "167", "ldrpulsd" : "10", "ldrpulsw" : "3", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.3", "ldrswatw" : "1222", "ldrswato" : "30", "ldrcrs" : "NAD_1983_2011_State_Plane_Michigan_North_2111_Ft_Intl", "ldrgeoid" : "NGS Geoid12a" }, "ldraccur" : { "ldrchacc" : "1.0", "rawfva" : "0.169", "clsfva" : "0.175", "clscva" : "0.271", "clssvas" : { "svalctyp" : "LowVeg", "svavalue" : "0.242" }, "clssvas" : { "svalctyp" : "MedVeg", "svavalue" : "0.329" }, "clssvas" : { "svalctyp" : "HighVeg", "svavalue" : "0.263" } }, "lasinfo" : { "lasver" : "1.2", "lasprf" : "1", "laswheld" : "Withheld (ignore) points were identified in these files using class 10.", "lasolap" : "Swath "overage" points were identified in these files by classifying to class 11.", "lasintr" : "10", "lasclass" : { "clascode" : "1", "clasitem" : "Unclassified" }, "lasclass" : { "clascode" : "2", "clasitem" : "Bare-earth" }, "lasclass" : { "clascode" : "7", "clasitem" : "All noise" }, "lasclass" : { "clascode" : "9", "clasitem" : "Water" }, "lasclass" : { "clascode" : "10", "clasitem" : "Ignored Ground (Breakline Proximity)" }, "lasclass" : { "clascode" : "11", "clasitem" : "Withheld (overlap)" }, "lasclass" : { "clascode" : "17", "clasitem" : "Bridges (most bridges are in class 1)" } }}
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        includedWithDataset:  false
        featureCatalogueCitation:  (CI_Citation)
            title:  USGS Base Specification 1.0, QL2 meeting 24.5cm FVA
            date: (unavailable)
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                organisationName:  NOAA Office for Coastal Management
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                        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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                linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9009
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                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.
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            onLine:  (CI_OnlineResource)
                linkage: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9009/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:  Horizontal Positional Accuracy
            evaluationMethodDescription:  Horizontal positional accuracy for Area 1 LiDAR is dependent upon the quality of the GPS/INS solution, sensor calibration and ground conditions at the time of data capture. The standard system results for horizontal accuracy meet or exceed the project specified 1.0 meter RMSE. For Area 1, this value is computed by comparing ground control to a DEM derived from the classified LiDAR data and represents the RMSE of residuals on controls within the project area.
            result: (missing)
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Vertical Positional Accuracy
            evaluationMethodDescription:  For the DEM data derived from the classified point cloud, the FVA, SVA, and CVA were computed. The vertical accuracy was tested with independent survey check points located in various terrain types within Area 1. These check points were not used in the calibration or post processing of the lidar point cloud data. The survey check points were distributed throughout the block area. Specifications for this project require that the FVA be 24.5 cm or better @ 95 percent confidence level. The FVA was tested using 25 independent survey check points located in flat terrain types within Area 1. The 25 independent check points were surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control. The RMSE was computed to be 0.087 m. AccuracyZ has been tested to meet 12.5 cm Fundamental Vertical Accuracy at 95 Percent 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)/ASPRS Guidelines. The CVA was tested using 97 independent survey check points located in various terrain types within Area 1. The 97 independent check points contained all FVA and SVA class points and were surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control. The RMSE was computed to be 0.140m, or 0.271m @ 95th Percentile defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines. The SVA for the Low Veg class was tested using 25 independent survey check points located in low vegetation terrain types within Area 1. The 25 independent check points were surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control. The RMSE was computed to be 0.132m, or 0.242m @ 95th Percentile defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines. The SVA for the Medium Veg class was tested using 23 independent survey check points located in medium vegetation terrain types within Area 1. The 23 independent check points were surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control. The RMSE was computed to be 0.199m, or 0.329m @ 95th Percentile defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines. The SVA for the High Veg class was tested using 23 independent survey check points located in high vegetation terrain types within Area 1.The 23 independent check points were surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control. The RMSE was computed to be 0.126m, or 0.263m @ 95th Percentile defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines.
            result: (missing)
        report:  (DQ_CompletenessCommission)
            nameOfMeasure:  Completeness Report
            evaluationMethodDescription:  LiDAR data is collected for the project area. Post processing of the simultaneously acquired GPS/INS is performed and applied to the laser returns to output a point cloud in the specified project coordinate system and datums. The point cloud data is then subjected to automated classification routines to assign all points in the point cloud to ground, water, overlap and unclassified point classes. Anomalous laser returns that occur infrequently are removed entirely from the data set. Once clean bare earth points are established, DEMs are created using bare earth points and hydro features. The DEM surface is then compared to the survey checkpoints. These accuracies must pass the Fundamental Vertical Accuracy, Supplemental Vertical Accuracy, and Consolidated Vertical Accuracy specifications.
            result: (missing)
        report:  (DQ_ConceptualConsistency)
            nameOfMeasure:  Conceptual Consistency
            evaluationMethodDescription:  LiDAR data is collected within the project area and processed. After the DEMs were created, the dataset was verified against control. Control was collected in 5 areas. Area 1 includes Baraga and Marquette. Accuracy results are reported for Area 1.
            result: (missing)
        lineage:  (LI_Lineage)
            statement: (missing)
            processStep:  (LI_ProcessStep)
                description:  At selected locations throughout the site, accurate GPS coordinates and elevations are surveyed and the points are marked with targets.
                dateTime:
                  DateTime:  2015-01-01T00:00:00
            processStep:  (LI_ProcessStep)
                description:  New LiDAR data is captured for the project area using a Leica ALS70 LiDAR instrument an integrated IPAS20 GPS/INS system mounted within a Aero Commander twin engine airplane.
                dateTime:
                  DateTime:  2015-01-01T00:00:00
            processStep:  (LI_ProcessStep)
                description:  The airborne GPS data is post-processed in Inertial Explorer software and LEICA CloudPro software to determine the LiDAR sensor's angle and orientation in the terrain (project) coordinate system and datums during the survey.
                dateTime:
                  DateTime:  2015-01-01T00:00:00
            processStep:  (LI_ProcessStep)
                description:  The post processed GPS/INS solution is applied to the raw lidar data to orient and project the data points into the project area reference system as an unclassified point cloud.
                dateTime:
                  DateTime:  2015-01-01T00:00:00
            processStep:  (LI_ProcessStep)
                description:  The georeferenced lidar data is then classified and edited in Terrasolid Terrascan software. Data is classified to produce: Class 1: unclassified, Class 2: ground, Class 7: low point, Class 9: water, Class 10: ignored ground, Class 11: withheld.
                dateTime:
                  DateTime:  2015-01-01T00:00:00
            processStep:  (LI_ProcessStep)
                description:  The classified lidar data is exported as 2500 X 2500 foot tiles in the LAS format with any or all classes required to produce derivative products.
                dateTime:
                  DateTime:  2015-01-01T00:00:00
            processStep:  (LI_ProcessStep)
                description:  The NOAA Office for Coastal Management (OCM) downloaded 2 data sets from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/ The data sets downloaded were: USGS_LPC_MI_Baraga_2015_LAS_2018/ Number of files: 4381 USGS_LPC_MI_Marquette_2015_LAS_2018/ Number of files: 8705 These files were processed to the Data Access Viewer (DAV) and https. The total number of files downloaded and processed was 13,086. The data were in Michigan State Plane North (NAD83 2011), international feet coordinates and NAVD88 (Geoid12A) elevations in feet (Marquette County only, Baraga County data was in meters). The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 10 - Ignored Ground, 11 - Withheld. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 7, 9, 10, 11. 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 12A model, to convert from Michigan State Plane North (NAD83 2011), international feet coordinates to geographic coordinates, to convert from vertical units of feet to meters (for Marquette County only, Baraga County data was in meters), to assign the geokeys, to sort the data by gps time and zip the data to database and to http.
                dateTime:
                  DateTime:  2020-02-04T00:00:00
                processor:  (CI_ResponsibleParty)
                    organisationName:  Office for Coastal Management
                    role:  (CI_RoleCode) processor
            source:  (LI_Source)
                description:  Source Contribution: The classified lidar point cloud is used to derive various data products such as, but not limited to, bare earth gridded DEM, triangulated irregular networks (TIN), contours, digital surface models (DSM). The output format is fully compliant LAS v1.2 or v1.3, Point Record Format 1
                scaleDenominator:  (MD_RepresentativeFraction)
                    denominator:  1200
                sourceCitation:  (CI_Citation)
                    title:  Classified lidar
                    date: (missing)
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  Sanborn Map Company Inc.
                        role:  (CI_RoleCode) originator
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimeInstant:
                            timePosition:  2015
            source:  (LI_Source)
                description:  Source Contribution: Targeted ground control is used to create a digital control file and control report as well as QC check of LiDAR accuracy. Predefined points (NGS when available) within the project area are targeted.
                sourceCitation:  (CI_Citation)
                    title:  Ground control
                    date:  (CI_Date)
                        date:  2010-01-01
                        dateType:  (CI_DateTypeCode) publication
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  Sanborn Map Company Inc.
                        role:  (CI_RoleCode) originator
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimeInstant:
                            timePosition:  2015
            source:  (LI_Source)
                description:  Source Contribution: Aerial LiDAR and GPS/IMU data are recorded for the defined project area at an altitude, flight speed, scanner swath width and scanner pulse frequency to achieve the design goals of the project.
                sourceCitation:  (CI_Citation)
                    title:  LiDAR Data
                    date: (missing)
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  Sanborn Map Company Inc.
                        role:  (CI_RoleCode) originator
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimeInstant:
                            timePosition:  2015
            source:  (LI_Source)
                description:  Source Contribution: Post processed GPS/INS is applied to the lidar point data to georeference each point in the project coordinate system
                scaleDenominator:  (MD_RepresentativeFraction)
                    denominator:  1200
                sourceCitation:  (CI_Citation)
                    title:  Post processed GPS/INS
                    date: (missing)
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  Sanborn Map Company Inc.
                        role:  (CI_RoleCode) originator
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimeInstant:
                            timePosition:  2015
            source:  (LI_Source)
                description:  Source Contribution: The post processed lidar data has been projected and oriented in the specified coordinate system as an un-classified point cloud.
                scaleDenominator:  (MD_RepresentativeFraction)
                    denominator:  1200
                sourceCitation:  (CI_Citation)
                    title:  Post processed lidar
                    date: (missing)
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  Sanborn Map Company Inc.
                        role:  (CI_RoleCode) originator
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimeInstant:
                            timePosition:  2015
            source:  (LI_Source)
                description:  Source Contribution: The tile definition defines discreet non-overlapping rectangular areas used as cut lines to break up the large classified lidar dataset into smaller, more manageable data tiles. Each tile is 2500ft by 2500ft in dimension.
                scaleDenominator:  (MD_RepresentativeFraction)
                    denominator:  1200
                sourceCitation:  (CI_Citation)
                    title:  Tile Definition
                    date: (missing)
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  State of Michigan
                        role:  (CI_RoleCode) originator
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimeInstant:
                            timePosition:  2015
            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:  2024-07-18T23:46:25
                processor:  (CI_ResponsibleParty)
                    individualName:  NOAA Office for Coastal Management
                    contactInfo:  (CI_Contact)
                        address:  (CI_Address)
                            electronicMailAddress:  coastal.info@noaa.gov
                    role:  (CI_RoleCode) processor