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2013 USGS-NRCS Lidar: Maine (Cumberland, Kennebec and York)
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                city:  Charleston
                administrativeArea:  SC
                postalCode:  29405-2413
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      DateTime:  2022-08-09T17:11:36
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              code:  urn:ogc:def:crs:EPSG::5703
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    identificationInfo:  (MD_DataIdentification)
        citation:  (CI_Citation)
            title:  2013 USGS-NRCS Lidar: Maine (Cumberland, Kennebec and York)
            alternateTitle:  me2013_usgs_nrcs_maine_m4950_metadata
            date:  (CI_Date)
                date:  2015-08-13
                dateType:  (CI_DateTypeCode) publication
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                    title:  NOAA/NMFS/EDM
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                code:
                  Anchor:  InPort Catalog ID 49794
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                        linkage: https://www.fisheries.noaa.gov/inport/item/49794
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        abstract:  TASK NAME: NRCS Maine 0.7M NPS LIDAR LiDAR Data Acquisition and Processing Production Task USGS Contract No. G10PC00057 Task Order No. G13PD00954 Woolpert Order No. 073683 CONTRACTOR: Woolpert, Inc. This data set is LiDAR point cloud data, which encompasses approximately 2279 square miles along with a 100 meter buffer in two separate areas within Southwest Maine. LiDAR data is a remotely sensed high resolution elevation data collected by an airborne platform. The LiDAR sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The LiDAR systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.7m. The final products include 2870 files containing classified LAS, one (1) meter pixel raster DEMs of the bare-earth surface in ERDAS IMG Format, and 8-bit intensity images. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional deliverables include hydrologic breakline data, control data, tile index, lidar processing and survey reports in PDF format, FGDC metadata files for each data deliverable in .xml format, and LAS swath data. Collected swath files that were that were larger than 2GB were provided in multiple sub-swath files, each less than 2GB. Ground conditions: Water at normal levels; no unusual inundation; no snow; leaf off. This data set is an LAZ (compressed LAS) format file containing LIDAR point cloud data.
        purpose:  This task order consists of LiDAR data acquisition and processing for the USGS and the NRCS with the purpose of assisting with natural resource conservation efforts. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.7m. The raw lidar point cloud data was used to create classified Lidar LAS files, intensity images, hydrologic breaklines, and hydro-flattened DEM files. The LiDAR data was provided in 1,500 meters x 1,500 meters tiles in the UTM projection. The LiDAR tile file names were derived from the southwest corner of each tile and are named based on the US National Grid. This metadata file is for the classified LAS deliverable. Product specifics can be found in the processing description section of this file.
        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
                    function:  (CI_OnLineFunctionCode) information
            role:  (CI_RoleCode) pointOfContact
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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
                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) custodian
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            maintenanceAndUpdateFrequency:  (MD_MaintenanceFrequencyCode) asNeeded
        graphicOverview:  (MD_BrowseGraphic)
            fileName: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4950/supplemental/me2013_usgs_nrcs_maine_m4950.kmz
            fileDescription:  This graphic shows the lidar coverage for the 2013 USGS acquisition on behalf of the NRCS of Cumberland, Kennebec and York counties in Maine.
            fileType:  kmz
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Lidar - partner (no harvest)
            type:  (MD_KeywordTypeCode) project
            thesaurusName:  (CI_Citation)
                title:  InPort
                date: (inapplicable)
        resourceConstraints:  (MD_LegalConstraints)
            useConstraints:  (MD_RestrictionCode) otherRestrictions
            otherConstraints:  Cite As: OCM Partners, [Date of Access]: 2013 USGS-NRCS Lidar: Maine (Cumberland, Kennebec and York) [Data Date Range], https://www.fisheries.noaa.gov/inport/item/49794.
        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. These data depict the heights at the time of the survey and are only accurate for that time. | Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of Woolpert, USGS, NRCS, NOAA, the Office for Coastal Management or its partners.
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            classification:  (MD_ClassificationCode) unclassified
            classificationSystem: (missing)
            handlingDescription: (missing)
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                title:  NOAA Data Management Plan (DMP)
                date: (unknown)
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                    authority:  (CI_Citation)
                        title:  NOAA/NMFS/EDM
                        date: (inapplicable)
                    code:  49794
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                    organisationName: (inapplicable)
                    contactInfo:  (CI_Contact)
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                            linkage: https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/49794.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:  -71.256683
                eastBoundLongitude:  -69.147422
                southBoundLatitude:  43.119904
                northBoundLatitude:  44.801319
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimePeriod:
                    description:   | Currentness: Ground Condition
                    beginPosition:  2013-11-05
                    endPosition:  2013-12-04
        supplementalInformation:  A footprint of this data set may be viewed in Google Earth at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4950/supplemental/me2013_usgs_nrcs_maine_m4950.kmz A lidar report is available here: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4950/supplemental/me2013_usgs_nrcs_maine_m4950_lidarreport.pdf A survey report is available here: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4950/supplemental/me2013_usgs_nrcs_maine_m4950_surveyreport.pdf
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        complianceCode:  false
        language:
          LanguageCode:  eng
        includedWithDataset:  false
        featureCatalogueCitation:  (CI_Citation)
            title:  none
            date: (unavailable)
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    distributionInfo:  (MD_Distribution)
        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
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                role:  (CI_RoleCode) distributor
        transferOptions:  (MD_DigitalTransferOptions)
            onLine:  (CI_OnlineResource)
                linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4950
                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.
                function:  (CI_OnLineFunctionCode) download
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                linkage: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4950/index.html
                protocol:  WWW:LINK-1.0-http--link
                name:  Bulk Download
                description:  Simple download of data files.
                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:  Compiled to meet 0.36 meters horizontal accuracy at 95 percent confidence level. LiDAR system specifications are available in the project report.
            result: (missing)
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Vertical Positional Accuracy
            evaluationMethodDescription:  LAS data covering the Maine LiDAR 0.7 meter NPS Lidar Task Order were compared to independent survey control points to determine the FVA of the LAS Swath and of the Bare-Earth DEM. In addition, this LAS data was compared to independent supplemental points from categories: Bare Earth Open Terrain, Urban, Tall Weeds/Crops, Brush Lands and Trees, and Forested Fully Grown. LAS Swath Fundamental Vertical Accuracy (FVA) Tested 0.125 meters Tested 0.125 meters fundamental vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using 0.064 meters (RMSEz) x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA) assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. Bare-Earth DEM Fundamental Vertical Accuracy (FVA): 0.122 meters Tested 0.122 meters fundamental vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using 0.0620 meters (RMSEz) x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. Consolidated Vertical Accuracy (CVA): 0.201 meters Tested 0.201 meters consolidated vertical accuracy at the 95th percentile level; reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines and tested against the DEM. CVA is based on the 95th percentile error in all land cover categories combined. Supplemental Vertical Accuracy (SVA) Bare Earth/Open Terrain Land Cover Classification: 0.151 meters Tested 0.151 meters supplemental vertical accuracy at the 95th percentile in Bare Earth/Open Terrain supplemental class reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines and tested against the DEM. Urban Land Cover Classification: 0.123 meters Tested 0.123 meters supplemental vertical accuracy at the 95th percentile in the Urban supplemental class reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines and tested against the DEM. Tall Weeds/Crops Land Cover Classification: 0.206 meters Tested 0.206 meters supplemental vertical accuracy at the 95th percentile in the Tall Weeds/Crops supplemental class reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines and tested against the DEM. Brush Lands and Trees Land Cover Classification: 0.257 meters Tested 0.257 meters supplemental vertical accuracy at the 95th percentile in the Brush Lands and Trees supplemental class and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines and tested against the DEM. Forested Fully Grown Classification: 0.180 meters Tested 0.180 meters supplemental vertical accuracy at the 95th percentile in the Forested and Fully Grown supplemental class and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines and tested against the DEM.
            result: (missing)
        report:  (DQ_CompletenessCommission)
            nameOfMeasure:  Completeness Report
            evaluationMethodDescription:  The LiDAR data is visually inspected for completeness to ensure that are no void areas or missing data.
            result: (missing)
        report:  (DQ_ConceptualConsistency)
            nameOfMeasure:  Conceptual Consistency
            evaluationMethodDescription:  All formatted data cover the entire area specified for this project and are validated using a combination of commercial LiDAR processing software, GIS software, and proprietary programs to ensure proper formatting and loading prior to delivery.
            result: (missing)
        lineage:  (LI_Lineage)
            statement: (missing)
            processStep:  (LI_ProcessStep)
                description:  Using Leica ALS70 (LiDAR) system on board a Cessna 402 aircraft, 171 flight lines of high density data, at a nominal pulse spacing (NPS) of 0.7 meters, were collected for this task order (approximately 2279 square miles of southern Maine). AGL = 6500 feet - Aircraft Speed = 150 Knots, Field of View (Full) = 40 degrees, Pulse Rate = 272 kHz, Scan Rate = 42.3 Hz, with an average side lap of 25 %. Multiple returns were recorded for each laser pulse along with an intensity value for each return. A total of eleven (11) missions were flown between November 05, 2013 and December 04, 2013. Three (3) Global Navigation Satellite System (GNSS) Base Stations (Waterville Robert LeFleur Airport, Portland International Jetport, and MEGO CORS) were used in support of the LiDAR data acquisition. Specific information regarding latitude, longitude, and ellipsoid height to the L1 phase center is included in the lidar processing report. The geoid used to reduce satellite derived elevations to orthometric heights was GEOID12A. Data for the task order is referenced to the UTM Zone 19N, North American Datum of 1983 (2011), and NAVD88, in meters. Once the data acquisition and GPS processing phases are complete, the LiDAR data was processed immediately to verify the coverage had no voids. The GPS and IMU data was post processed using differential and Kalman filter algorithms to derive a best estimate of trajectory. The quality of the solution was verified to be consistent with the accuracy requirements of the project. The SBET was used to reduce the LiDAR slant range measurements to a raw reflective surface for each flight line. The coverage was classified to extract a bare earth digital elevation model (DEM) and separate last returns.The ALS70 calibration and system performance is verified on a periodic basis using Woolpert's calibration range. The calibration range consists of a large building and runway. The edges of the building and control points along the runway have been located using conventional survey methods. Inertial measurement unit (IMU) misalignment angles and horizontal accuracy are calculated by comparing the position of the building edges between opposing flight lines. The scanner scale factor and vertical accuracy is calculated through comparison of LiDAR data against control points along the runway. Field calibration is performed on all flight lines to refine the IMU misalignment angles. IMU misalignment angles are calculated from the relative displacement of features within the overlap region of adjacent (and opposing) flight lines. The raw LiDAR data is reduced using the refined misalignment angles.
                dateTime:
                  DateTime:  2013-12-05T00:00:00
            processStep:  (LI_ProcessStep)
                description:  Ground control and QAQC control point survey was performed by Shyka, Sheppard & Garster Land Surveyors,(SSG), that supported the 2013 USGS NRCS lidar project. All surveys were performed in such a way as to achieve ground control that supports lidar data at 9.25 cm RMSE accuracy and satisfy a local network accuracy of 5 cm at a 95% confidence level. All control points were observed using GPS and consistent with the second order horizontal and third order vertical as defined by the NGS. All ground control survey field activities took place from December 3, 2013 to March 21, 2014. SSG collected 35 calibration control points as well as 158 supplemental QAQC points. The supplemental QAQC points were collect to be used in independent accuracy testing. The survey was performed using two (2) Leica GS15 Series GPS receivers in conjunction with simultaneous data collected across nineteen (19) Continuously Operating Reference Stations (CORS) GPS receivers. The survey was conducted utilizing Rapid Static observations made using 5-second sync rats and observations of typically 15 to 20 minutes. All GPS ground control observations were processed using Trimble Navigation's Trimble Business Center. All horizontal GPS control was based on UTM Zone 19N, NAD83(2011) expressed in meters. The vertical datum used for this project was based on the North American Vertical Datum of 1988 (NAVD88), GEOID12A, also expressed in meters.
                dateTime:
                  DateTime:  2013-05-31T00:00:00
            processStep:  (LI_ProcessStep)
                description:  The individual flight lines were inspected to ensure the systematic and residual errors have been identified and removed. Then, the flight lines were compared to adjacent flight lines for any mismatches to obtain a homogeneous coverage throughout the project area. The point cloud underwent a classification process to determine bare-earth points and non-ground points utilizing "first and only" as well as "last of many" LiDAR returns. This process determined Default (Class 1), Ground (Class 2), Noise (Class 7), Water (Class 9), Ignored Ground (Class 10), Overlap Default (Class 17) and Overlap Ground (Class 18). The bare-earth (Class 2 - Ground) LiDAR points underwent a manual QA/QC step to verify the quality of the DEM as well as a peer-based QC review. This included a review of the DEM surface to remove artifacts and ensure topographic quality. Classification of water (class 9) and ignored ground (class 10) was completed via the use of the hydrologic breaklines collected for the hydro-flattening phase. The overlap classes were determined by first identifying the overlapping areas and reclassifying the LAS data by offset from a corridor. This allows the returns located on the edge of the swath to be removed from the bare earth coverage in an effort to produce a more uniform data density. The returns determined to be overlap are then further classified to produce overlap default (class 17) and overlap ground (class 18). The surveyed ground control points are used to make vertical adjustments to the data set and to perform the accuracy checks and statistical analysis of the LiDAR dataset. Supervisory QC monitoring of work in progress and completed editing ensured consistency of classification character and adherence to project requirements across the entire project area.
                dateTime:
                  DateTime:  2013-12-05T00:00:00
            processStep:  (LI_ProcessStep)
                description:  The NOAA Office for Coastal Management (OCM) received topographic files in LAS format. The files contained lidar elevation and intensity measurements. The data were received in UTM Zone 19N (NAD83) coordinates and were vertically referenced to NAVD88 using the Geoid12a model. The vertical units of the data were meters. OCM performed the following processing for data storage and Digital Coast provisioning purposes: 1. The topographic las files were converted from orthometric (NAVD88) heights to ellipsoidal heights using Geoid03. 2. The topographic las files were converted from a Projected Coordinate System (UTM 19N) to a Geographic Coordinate system (GCS). 3. The topographic las files' horizontal units were converted from meters to decimal degrees.
                dateTime:
                  DateTime:  2013-04-01T00:00:00
            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:  2023-07-01T07:17:38
                processor:  (CI_ResponsibleParty)
                    individualName:  NOAA Office for Coastal Management
                    contactInfo:  (CI_Contact)
                        address:  (CI_Address)
                            electronicMailAddress:  coastal.info@noaa.gov
                    role:  (CI_RoleCode) processor