Text View of ISO 19115/19115-2 Metadata with Links to Guidance on NOAA EDM WikiAlternate Views: Get Data, FAQ, ISO Rubric, DOI Rubric, CSW, HTML, Components, XML

2009 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Snohomish River Estuary

spatialRepresentationInfo
referenceSystemInfo
referenceSystemInfo
identificationInfo
distributionInfo
dataQualityInfo
metadataMaintenance
acquisitionInformation

 (MI_Metadata)
    fileIdentifier:  gov.noaa.csc.maps:wa2009_pslc_snohomishriverestuary_m2590
    language:  eng; USA
    characterSet:  (MD_CharacterSetCode) utf8
    hierarchyLevel:  (MD_ScopeCode) dataset
    contact:  (CI_ResponsibleParty)
        individualName:  Mike Sutherland
        organisationName:  DOC/NOAA/NESDIS/NGDC > National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce
        contactInfo:  (CI_Contact)
            phone:  (CI_Telephone)
                voice:  303-497-6120
                facsimile:  303-497-6513
            address:  (CI_Address)
                deliveryPoint:  NOAA/NESDIS/NGDC E/GC1 325 Broadway
                city:  Boulder
                administrativeArea:  CO
                postalCode:  80305-3328
                country:  USA
                electronicMailAddress:  mike.sutherland@noaa.gov
            hoursOfService:  7:30am-5:00pm Mountain
        role:  (CI_RoleCode) author
    dateStamp:  2013-11-19
    metadataStandardName:  ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
    metadataStandardVersion:  ISO 19115-2:2009(E)
return to top
    spatialRepresentationInfo:  (MD_VectorSpatialRepresentation)
        geometricObjects:  (MD_GeometricObjects)
            geometricObjectType:  (MD_GeometricObjectTypeCode) point
return to top
    referenceSystemInfo:  (MD_ReferenceSystem)
        referenceSystemIdentifier:  (RS_Identifier)
            authority:  (CI_Citation)
                title:  North American Datum 1983
                alternateTitle:  NAD83
                date:  (CI_Date)
                    date:  2007-01-19
                    dateType:  (CI_DateTypeCode) revision
                citedResponsibleParty:  (CI_ResponsibleParty)
                    organisationName:
                    contactInfo:  (CI_Contact)
                        onlineResource:  (CI_OnlineResource)
                            linkage: http://www.epsg-registry.org/export.htm?gml=urn:ogc:def:crs:EPSG::4269
                            name:  NAD83
                            description:  Link to Geographic Markup Language (GML) description of reference system.
                            function:  (CI_OnLineFunctionCode) information
                    role:  (CI_RoleCode) resourceProvider
                citedResponsibleParty:  (CI_ResponsibleParty)
                    organisationName:  European Petroleum Survey Group
                    contactInfo:  (CI_Contact)
                        onlineResource:  (CI_OnlineResource)
                            linkage: http://www.epsg-registry.org/
                            name:  European Petroleum Survey Group Geodetic Parameter Registry
                            description:  Registry that accesses the EPSG Geodetic Parameter Dataset, which is a structured dataset of Coordinate Reference Systems and Coordinate Transformations.
                            function:  (CI_OnLineFunctionCode) search
                    role:  (CI_RoleCode) publisher
            code:  urn:ogc:def:crs:EPSG::4269
return to top
    referenceSystemInfo:  (MD_ReferenceSystem)
        referenceSystemIdentifier:  (RS_Identifier)
            code:  Ellipsoid in Meters
            codeSpace:  Local Vertical Reference
return to top
    identificationInfo:  (MD_DataIdentification)
        citation:  (CI_Citation)
            title:  2009 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Snohomish River Estuary
            date:  (CI_Date)
                date:  2013-11-14
                dateType:  (CI_DateTypeCode) publication
            citedResponsibleParty:  (CI_ResponsibleParty)
                organisationName:  DOC/NOAA/NOS/CSC > Coastal Services Center, National Ocean Service, National Oceanic and Atmospheric Administration, U.S. Department of Commerce
                contactInfo:  (CI_Contact)
                    phone:  (CI_Telephone)
                        voice:  843-740-1200
                    address:  (CI_Address)
                        deliveryPoint:  2234 South Hobson Ave.
                        city:  Charleston
                        administrativeArea:  SC
                        postalCode:  29405-2413
                        electronicMailAddress:  csc.info@noaa.gov
                role:  (CI_RoleCode) originator
            citedResponsibleParty:  (CI_ResponsibleParty)
                individualName:  Diana Martinez
                organisationName:  Puget Sound Lidar Consortium (PSLC)
                positionName:  Senior GIS Analyst, Puget Sound Regional Council
                contactInfo:  (CI_Contact)
                    phone:  (CI_Telephone)
                        voice:  206-971-3052
                    address:  (CI_Address)
                        deliveryPoint:  1011 Western Avenue, Suite 500
                        city:  Seattle
                        administrativeArea:  WA
                        postalCode:  98104-1035
                        country:  USA
                        electronicMailAddress:  dmartinez@psrc.org
                role:  (CI_RoleCode) originator
            citedResponsibleParty:  (CI_ResponsibleParty)
                organisationName:  DOC/NOAA/NOS/CSC > Coastal Services Center, National Ocean Service, National Oceanic and Atmospheric Administration, U.S. Department of Commerce
                contactInfo:  (CI_Contact)
                    phone:  (CI_Telephone)
                        voice:  843-740-1200
                    address:  (CI_Address)
                        deliveryPoint:  2234 South Hobson Ave.
                        city:  Charleston
                        administrativeArea:  SC
                        postalCode:  29405-2413
                        electronicMailAddress:  csc.info@noaa.gov
                role:  (CI_RoleCode) publisher
            presentationForm:  (CI_PresentationFormCode) imageDigital
        abstract:  Watershed Sciences, Inc. (WS) co-acquired Light Detection and Ranging (LiDAR) data and Truecolor Orthophotographs of the Snohomish River Estuary, WA on July 20 & 21, 2009. The original requested survey area (26,150 acres) was expanded, at the client?s request, to include more of the valley lowland areas in the SW and SE edge of the original AOI as well as additional creeks on the northern edge of the survey (Figure 1). The total area of delivered LiDAR and True-color Orthophotographs, including the expansion and 100 m buffer, is 32,140 acres.
        purpose:  The LAS files can be used to create DEMs and also to extract topographic data in software that does not support raster data. Other surface features can also be extracted with custom applications. LiDAR data has a wide range of uses such as earthquake hazard studies, hydrologic modeling, forestry, coastal engineering, roadway and pipeline engineering, flood plain mapping, wetland studies, geologic studies and a variety of analytical and cartographic projects.
        credit:  Please credit the Puget Sound LiDAR Consortium (PSLC) for these data. The PSLC is supported by the Puget Sound Regional Council, the National Aeronautical and Space Administration (NASA), the United States Geological Survey (USGS) and numerous partners in local, state, and tribal government.
        status:  (MD_ProgressCode) completed
        pointOfContact:  (CI_ResponsibleParty)
            individualName:  Diana Martinez
            organisationName:  Puget Sound Lidar Consortium (PSLC)
            positionName:  Senior GIS Analyst, Puget Sound Regional Council
            contactInfo:  (CI_Contact)
                phone:  (CI_Telephone)
                    voice:  206-971-3052
                address:  (CI_Address)
                    deliveryPoint:  1011 Western Avenue, Suite 500
                    city:  Seattle
                    administrativeArea:  WA
                    postalCode:  98104-1035
                    country:  USA
                    electronicMailAddress:  dmartinez@psrc.org
            role:  (CI_RoleCode) pointOfContact
        resourceMaintenance:  (MD_MaintenanceInformation)
            maintenanceAndUpdateFrequency:  (MD_MaintenanceFrequencyCode) asNeeded
        graphicOverview:  (MD_BrowseGraphic)
            fileName: http://csc.noaa.gov/htdata/lidar1_z/geoid12a/data/2590/supplemental/wa2009_pslc_snohomishriverestuary.KMZ
            fileDescription:  This kmz file shows the extent of coverage for the 2012 PSLC Snohomish River Estuary, WA lidar data set.
            fileType:  kmz
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Topography
            keyword:  Elevation
            keyword:  Model
            keyword:  LiDAR
            keyword:  LAZ
            keyword:  LAS
            keyword:  Remote Sensing
            type:  (MD_KeywordTypeCode) theme
            thesaurusName:  (CI_Citation)
                title:  none
                date:
        descriptiveKeywords:  (MD_Keywords)
            keyword:  US
            keyword:  Washington
            keyword:  Snohomish County
            type:  (MD_KeywordTypeCode) place
            thesaurusName:  (CI_Citation)
                title:  None
                date:
        resourceConstraints:  (MD_Constraints)
            useLimitation:  These data depict the elevations at the time of the survey and are only accurate for that time. 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. Any conclusions drawn from analysis of this information are not the responsibility of NOAA or any of its partners. These data are NOT to be used for navigational purposes.
        resourceConstraints:  (MD_LegalConstraints)
            useLimitation:  While every effort has been made to ensure that these data are accurate and reliable within the limits of the current state of the art, NOAA cannot assume liability for any damages caused by any errors or omissions in the data, nor as a result of the failure of the data to function on a particular system. NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.
        aggregationInfo:  (MD_AggregateInformation)
            aggregateDataSetName:  (CI_Citation)
                title:  Lidar Dataset Supplemental Information
                date:
                citedResponsibleParty:  (CI_ResponsibleParty)
                    positionName:  Citation URL
                    contactInfo:  (CI_Contact)
                        onlineResource:  (CI_OnlineResource)
                            linkage:  ftp://csc.noaa.gov/pub/DigitalCoast/lidar1_z/geoid12a/data/2590/supplemental/
                            name:  Where they exist, the supplemental information folder will include acquisition and QA/QC reports, breaklines, a footprint of the spatial extent of the data and other relevant related information
                            description:
                            function:  (CI_OnLineFunctionCode) information
                    role:
            associationType:  (DS_AssociationTypeCode) crossReference
        spatialRepresentationType:  (MD_SpatialRepresentationTypeCode) vector
        language:  eng; USA
        topicCategory:  (MD_TopicCategoryCode) elevation
        extent:  (EX_Extent)
            geographicElement:  (EX_GeographicBoundingBox)
                westBoundLongitude:  -122.2683624
                eastBoundLongitude:  -122.0545681
                southBoundLatitude:  47.85093689
                northBoundLatitude:  48.06306836
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimePeriod:
                    beginPosition:  2009-07-20
                    endPosition:  2009-07-21
return to top
    distributionInfo:  (MD_Distribution)
        distributionFormat:  (MD_Format)
            name:  LAZ
            version:
        distributor:  (MD_Distributor)
            distributorContact:  (CI_ResponsibleParty)
                organisationName:  DOC/NOAA/NOS/CSC > Coastal Services Center, National Ocean Service, National Oceanic and Atmospheric Administration, U.S. Department of Commerce
                contactInfo:  (CI_Contact)
                    phone:  (CI_Telephone)
                        voice:  843-740-1200
                    address:  (CI_Address)
                        deliveryPoint:  2234 South Hobson Ave.
                        city:  Charleston
                        administrativeArea:  SC
                        postalCode:  29405-2413
                        electronicMailAddress:  csc.info@noaa.gov
                role:  (CI_RoleCode) distributor
            distributionOrderProcess:  (MD_StandardOrderProcess)
                orderingInstructions:  The National Geophysical Data Center serves as the archive for this LIDAR data. NGDC should only be contacted for this data if it cannot be obtained from NOAA Coastal Services Center.
        distributor:  (MD_Distributor)
            distributorContact:  (CI_ResponsibleParty)
                individualName:  Mike Sutherland
                organisationName:  DOC/NOAA/NESDIS/NGDC > National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce
                contactInfo:  (CI_Contact)
                    phone:  (CI_Telephone)
                        voice:  303-497-6120
                        facsimile:  303-497-6513
                    address:  (CI_Address)
                        deliveryPoint:  NOAA/NESDIS/NGDC E/GC1 325 Broadway
                        city:  Boulder
                        administrativeArea:  CO
                        postalCode:  80305-3328
                        country:  USA
                        electronicMailAddress:  mike.sutherland@noaa.gov
                    hoursOfService:  7:30am-5:00pm Mountain
                role:  (CI_RoleCode) distributor
            distributionOrderProcess:  (MD_StandardOrderProcess)
                orderingInstructions:  The National Geophysical Data Center serves as the archive for this LIDAR dataset. NGDC should only be contacted for the data if it cannot be obtained from NOAA Coastal Services Center.
return to top
    dataQualityInfo:  (DQ_DataQuality)
        scope:  (DQ_Scope)
            level:  (MD_ScopeCode) dataset
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Horizontal Positional Accuracy Report
            evaluationMethodDescription:  Horizontal positional accuracy for 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 are less than 1 meter.
            result:
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Horizontal Positional Accuracy
            measureDescription:  Lidar horizontal accuracy was not reported.
            result:  (DQ_QuantitativeResult)
                valueUnit:
                  BaseUnit:
                    identifier:  meters
                    unitsSystem:
                value:
                  Record:  1.0
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Vertical Positional Accuracy Report
            evaluationMethodDescription:  To enable assessment of LiDAR data accuracy, ground truth points were collected using GPS based real-time kinematic (RTK) surveying. For an RTK survey, the ground crew uses a roving unit to receive radio-relayed corrected positional coordinates for all ground points from a GPS base station set up over a survey control monument. Instrumentation includes multiple Trimble DGPS units (R8). RTK surveying allows for precise location measurements with an error (s) of = 1.5 cm (0.6 in). Figure 2 below portrays a distribution of hard surface RTK point locations used for the survey areas. Additional RTK surveys were taken by Watershed Sciences (in low grass vegetation) and the client (in high marsh vegetation) to compare absolute accuracy amongst land covers; this data is presented in Table 4. To assess spatial accuracy of the orthophotographs they are compared against control points identified from the LIDAR intensity images. The control points were collected\measured on surface features such as painted road-lines, and boulders in the stream beds. The accuracy of the final mosaic, expressed as root mean square error (RMSE), was calculated in relation to the LiDAR-derived control points. Figure 3 displays the co-registration between orthorectified photographs and LiDAR intensity images.
            result:
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Vertical Positional Accuracy
            measureDescription:  The vertical accuracy of the LiDAR data is described as the mean and standard deviation (sigma ~ s) of divergence of LiDAR point coordinates from RTK ground survey point coordinates. To provide a sense of the model predictive power of the dataset, the root mean square error (RMSE) for vertical accuracy is also provided.
            result:  (DQ_QuantitativeResult)
                valueUnit:
                  BaseUnit:
                    identifier:  meters
                    unitsSystem:
                value:
                  Record:  0.03
        report:  (DQ_CompletenessCommission)
            evaluationMethodDescription:  LiDAR data has been collected and processed for all areas within the project study area.
            result:
        report:  (DQ_ConceptualConsistency)
            measureDescription:  LiDAR flight lines have been examined to ensure that there was at least 50% sidelap, there are no gaps between flightlines, and overlapping flightlines have consistent elevation values. Shaded relief images have been visually inspected for data errors such as pits, border artifacts, gaps, and shifting.
            result:
        lineage:  (LI_Lineage)
            processStep:  (LE_ProcessStep)
                description:  Point Generation. The points are generated as Terrascan binary Format using Terrapoint?s proprietary Laser Postprocessor Software. This software combines the Raw Laser file and GPS/IMU information to generate a point cloud for each individual flight. All the point cloud files encompassing the project area were then divided into quarter quad tiles. The referencing system of these tiles is based upon the project boundary minimum and maximums. This process is carried out in Terrascan. The bald earth is subsequently extracted from the raw LiDAR points using Terrascan in a Microstation environment. The automated vegetation removal process takes place by building an iterative surface model. This surface model is generated using three main parameters: Building size, Iteration angle and Iteration distance. The initial model is based upon low points selected by a roaming window and are assumed to be ground points. The size of this roaming window is determined by the building size parameter. These low points are triangulated and the remaining points are evaluated and subsequently added to the model if they meet the Iteration angle and distance constraints (fig. 1). This process is repeated until no additional points are added within an iteration. There is also a maximum terrain angle constraint that determines the maximum terrain angle allowed within the model. Multiple process dates, report compiled 20050331.
                dateTime:
            processStep:  (LE_ProcessStep)
                description:  Applications and Work Flow Overview 1. Resolved kinematic corrections for aircraft position data using kinematic aircraft GPS and static ground GPS data. Software: Waypoint GPS v.8.10, Trimble Geomatics Office v.1.62 2. Developed a smoothed best estimate of trajectory (SBET) file that blends post-processed aircraft position with attitude data Sensor head position and attitude were calculated throughout the survey. The SBET data were used extensively for laser point processing. Software: IPAS v.1.4 3. Calculated laser point position by associating SBET position to each laser point return time, scan angle, intensity, etc. Created raw laser point cloud data for the entire survey in *.las (ASPRS v1.1) format. Software: ALS Post Processing Software v.2.69 4. Imported raw laser points into manageable blocks (less than 500 MB) to perform manual relative accuracy calibration and filter for pits/birds. Ground points were then classified for individual flight lines (to be used for relative accuracy testing and calibration). Software: TerraScan v.9.001 5. Using ground classified points per each flight line, the relative accuracy was tested. Automated line-to-line calibrations were then performed for system attitude parameters (pitch, roll, heading), mirror flex (scale) and GPS/IMU drift. Calibrations were performed on ground classified points from paired flight lines. Every flight line was used for relative accuracy calibration. Software: TerraMatch v.9.001 6. Position and attitude data were imported. Resulting data were classified as ground and nonground points. Statistical absolute accuracy was assessed via direct comparisons of ground classified points to ground RTK survey data. Data were then converted to orthometric elevations (NAVD88) by applying a Geoid03 correction. Ground models were created as a triangulated surface and exported as ArcInfo ASCII grids at a 1-meter pixel resolution. Software: TerraScan v.9.001, ArcMap v9.3, TerraModeler v.9.001 Laser point coordinates were computed using the IPAS and ALS Post Processor software suites based on independent data from the LiDAR system (pulse time, scan angle), and aircraft trajectory data (SBET). Laser point returns (first through fourth) were assigned an associated (x, y, z) coordinate along with unique intensity values (0-255). The data were output into large LAS v. 1.2 files; each point maintains the corresponding scan angle, return number (echo), intensity, and x, y, z (easting, northing, and elevation) information. These initial laser point files were too large for subsequent processing. To facilitate laser point processing, bins (polygons) were created to divide the dataset into manageable sizes (< 500 MB). Flightlines and LiDAR data were then reviewed to ensure complete coverage of the survey area and positional accuracy of the laser points. Laser point data were imported into processing bins in TerraScan, and manual calibration was performed to assess the system offsets for pitch, roll, heading and scale (mirror flex). Using a geometric relationship developed by Watershed Sciences, each of these offsets was resolved and corrected if necessary. LiDAR points were then filtered for noise, pits (artificial low points) and birds (true birds as well as erroneously high points) by screening for absolute elevation limits, isolated points and height above ground. Each bin was then manually inspected for remaining pits and birds and spurious points were removed. In a bin containing approximately 7.5-9.0 million points, an average of 50-100 points are typically found to be artificially low or high. Common sources of non-terrestrial returns are clouds, birds, vapor, haze, decks, brush piles, etc. LiDAR Data Acquisition and Processing: Snohomish River Estuary, WA Prepared by Watershed Sciences, Inc. Internal calibration was refined using TerraMatch. Points from overlapping lines were tested for internal consistency and final adjustments were made for system misalignments (i.e., pitch, roll, heading offsets and scale). Automated sensor attitude and scale corrections yielded 3-5 cm improvements in the relative accuracy. Once system misalignments were corrected, vertical GPS drift was then resolved and removed per flight line, yielding a slight improvement (<1 cm) in relative accuracy. The TerraScan software suite is designed specifically for classifying near-ground points (Soininen, 2004). The processing sequence began by ?removing? all points that were not ?near? the earth based on geometric constraints used to evaluate multi-return points. The resulting bare earth (ground) model was visually inspected and additional ground point modeling was performed in site-specific areas to improve ground detail. This manual editing of grounds often occurs in areas with known ground modeling deficiencies, such as: bedrock outcrops, cliffs, deeply incised stream banks, and dense vegetation. In some cases, automated ground point classification erroneously included known vegetation (i.e., understory, low/dense shrubs, etc.). These points were manually reclassified as non-grounds. Ground surface rasters were developed from triangulated irregular networks (TINs) of ground points.
                dateTime:
            processStep:  (LE_ProcessStep)
                description:  The NOAA Coastal Services Center (CSC) downloaded topographic files in text format from PSLC's website. The files contained lidar easting, northing, elevation, intensity, return number, class, scan angle and GPS time measurements. The data were received in Washington State Plane North Zone 4601, NAD83 coordinates and were vertically referenced to NAVD88 using the Geoid03 model. The vertical units of the data were feet. CSC performed the following processing for data storage and Digital Coast provisioning purposes: 1. The All-Return ASCII txt files were parsed to convert GPS Week Time to Adjusted Standard GPS Time. 2. The All-Return ASCII files were converted from txt format to las format using LASTools' txt2las tool and reclassified to fit the CSC class list, N=1 (unclassified), G=2 (ground). 3. The las files were converted from orthometric (NAVD88) heights to ellipsoidal heights using Geoid03. 4. The las files' vertical units were converted from feet to meters and filtered to remove bad elevations. 5. The las files were converted from a Projected Coordinate System (WA SP North) to a Geographic Coordinate system (NAD83) 6. The data were converted to converted to LAZ format 7. The laz tiles containing only water areas were removed and remaining tiles were clipped to remove excess noise.
                dateTime:
                  DateTime:  2013-11-14T00:00:00
                processor:  (CI_ResponsibleParty)
                    organisationName:  DOC/NOAA/NOS/CSC > Coastal Services Center, National Ocean Service, National Oceanic and Atmospheric Administration, U.S. Department of Commerce
                    contactInfo:  (CI_Contact)
                        phone:  (CI_Telephone)
                            voice:  843-740-1200
                        address:  (CI_Address)
                            deliveryPoint:  2234 South Hobson Ave.
                            city:  Charleston
                            administrativeArea:  SC
                            postalCode:  29405-2413
                            electronicMailAddress:  csc.info@noaa.gov
                    role:  (CI_RoleCode) processor
            processStep:  (LE_ProcessStep)
                description:  The NOAA National Geophysical Data Center (NGDC) received lidar data files via ftp transfer from the NOAA Coastal Services Center. The data are currently being served via NOAA CSC Digital Coast at http://www.csc.noaa.gov/digitalcoast/. The data can be used to re-populate the system. The data are archived in LAS or LAZ format. The LAS format is an industry standard for LiDAR data developed by the American Society of Photogrammetry and Remote Sensing (ASPRS); LAZ is a loseless compressed version of LAS developed by Martin Isenburg (http://www.laszip.org/). The data are exclusively in geographic coordinates (either NAD83 or ITRF94). The data are referenced vertically to the ellipsoid (either GRS80 or ITRF94), allowing for the ability to apply the most up to date geoid model when transforming to orthometric heights.
                dateTime:
                  DateTime:  2013-11-19T00:00:00
                processor:  (CI_ResponsibleParty)
                    individualName:  Mike Sutherland
                    organisationName:  DOC/NOAA/NESDIS/NGDC > National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce
                    contactInfo:  (CI_Contact)
                        phone:  (CI_Telephone)
                            voice:  303-497-6120
                            facsimile:  303-497-6513
                        address:  (CI_Address)
                            deliveryPoint:  NOAA/NESDIS/NGDC E/GC1 325 Broadway
                            city:  Boulder
                            administrativeArea:  CO
                            postalCode:  80305-3328
                            country:  USA
                            electronicMailAddress:  mike.sutherland@noaa.gov
                        hoursOfService:  7:30am-5:00pm Mountain
                    role:  (CI_RoleCode) processor
return to top
    metadataMaintenance:  (MD_MaintenanceInformation)
        maintenanceAndUpdateFrequency:  (MD_MaintenanceFrequencyCode) annually
        dateOfNextUpdate:  2014-11-19
        maintenanceNote:  This metadata was automatically generated from the FGDC Content Standards for Digital Geospatial Metadata standard (version FGDC-STD-001-1998) using the 2013-01-04 version of the FGDC RSE to ISO 19115-2 for LiDAR transform.
        maintenanceNote:  Translated from FGDC 2013-11-19T15:41:57.639-07:00
return to top
    acquisitionInformation:  (MI_AcquisitionInformation)
        instrument:  (MI_Instrument)
            identifier:  (MD_Identifier)
                code:  Leica ALS50-II
            type:  Light Detection and Ranging