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2011 - 2012 New York State Department of Environmental Conservation (NYSDEC) Lidar: Coastal New York (Long Island and along the Hudson River)

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    fileIdentifier:  gov.noaa.csc.maps:2012_NYDES_Lidar_m1408
    language:  eng; USA
    characterSet:  (MD_CharacterSetCode) utf8
    hierarchyLevel:  (MD_ScopeCode) dataset
    contact:  Mike Sutherland(author) (CI_ResponsibleParty)
        organisationName:
        role:  (CI_RoleCode) author
    dateStamp:  2013-01-22
    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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    spatialRepresentationInfo:  (MD_VectorSpatialRepresentation)
        geometricObjects:  (MD_GeometricObjects)
            geometricObjectType:  (MD_GeometricObjectTypeCode) point
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    referenceSystemInfo:  (MD_ReferenceSystem)
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                title:  North American Datum 1983
                alternateTitle:  NAD83
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                    date:  2007-01-19
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                            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.
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                    role:  (CI_RoleCode) resourceProvider
                citedResponsibleParty:  (CI_ResponsibleParty)
                    organisationName:  European Petroleum Survey Group
                    contactInfo:  (CI_Contact)
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                            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
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    referenceSystemInfo:  (MD_ReferenceSystem)
        referenceSystemIdentifier:  (RS_Identifier)
            code:  Ellipsoid in Meters
            codeSpace:  Local Vertical Reference
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    identificationInfo:  (MD_DataIdentification)
        citation:  (CI_Citation)
            title:  2011 - 2012 New York State Department of Environmental Conservation (NYSDEC) Lidar: Coastal New York (Long Island and along the Hudson River)
            date:  (CI_Date)
                date:  2012-11-01
                dateType:  (CI_DateTypeCode) publication
            citedResponsibleParty:  NOAA CSC (originator)
            citedResponsibleParty:  (CI_ResponsibleParty)
                organisationName:  New York State Department of Environmental Conservation
                role:  (CI_RoleCode) originator
            citedResponsibleParty:  NOAA CSC (publisher) (CI_ResponsibleParty)
                organisationName:
                role:  (CI_RoleCode) publisher
            presentationForm:  (CI_PresentationFormCode) imageDigital
        abstract:  Light Detection and Ranging (LiDAR) data is remotely sensed high-resolution elevation data collected by an airborne collection platform. This LiDAR dataset is a survey of areas of coastal New York, including Long Island, eastern Westchester, and the tidal extents of the Hudson River. The project area consists of approximately 950 square miles. The project design of the LiDAR data acquisition was developed to support a nominal post spacing of 1.0 meter or better (1.0 meter GSD). GMR Aerial Surveys Inc. d/b/a Photo Science, Inc. acquired 740 flight lines in 63 lifts between November 2011 and April 2012, while no snow was on the ground, rivers were at or below normal levels, no strong onshore winds, high waves, floods, or other anomalous weather conditions. Specified areas of the project were collected at a tide stage where water levels are at least 1-foot below mean sea level (MSL). This collection was a joint effort by the NOAA Coastal Services Center (CSC) and the New York State Department of Environmental Conservation. The data collection was performed with three Cessna 206 single engine aircrafts, utilizing Optech Gemini sensors; collecting multiple return x, y, and z as well as intensity data. The data were classified as Unclassified (1), Ground (2), Low Point (Noise) (7), Water (9), Breakline Edge (10), Withheld (11), Tidal Water (14), Overlap Default (17), and Overlap Ground (18), Overlap Water (25), and Overlap Tidal Water (30). Upon receipt, the NOAA Coastal Services Center (CSC), for data storage and Digital Coast provisioning purposes, converted these classifications to the following: 1 - Unclassified 2 - Ground 7 - Low Point (Noise) 9 - Water NOAA tide gauges were used as the basis for flight planning the tidally coordinated areas. Some areas were collected using tidal restraints as listed below: Tidal Wetlands and tributary mouths selected for tidal coordination at Mean Sea Level (MSL) minus 1 foot were: Rondout Creek Outlet; Vanderburg Cove, Moodna Creek, Constitution Marsh, Iona Marsh, Annsville Creek, Croton River Outlet, Marlboro Marsh, Manitou Marsh, Fishkill Creek Outlet, and Wappingers Creek Outlet. The Upper Hudson area from North of Goose Island was also collected to the same specification. Tidal Wetlands and tributary mouths selected for tidal coordination at Mean Sea Level (MSL) were: Haverstraw at Minisceongo Creek and Piedmont Marsh. The remainder of the project area had no tidal restrictions for collection. In order to post process the LiDAR data to meet task order specifications, Photo Science, Inc. established a total of 81 control points that were used to calibrate the LiDAR to known ground locations established throughout the New York project area. Trimble R8-3 GNSS receivers were used to complete the collection. Real Time Kinematic (RTK) survey methodology was typically performed using the New York State Spatial Reference Network (NYSNet), a CORS/Real Time GPS Network. Additionally, control values from various other projects completed by Photo Science in and around the project area, were used as supplemental control points to assist in the calibration of the LiDAR dataset. The dataset was developed based on a horizontal projection/datum of UTM NAD83 (NSRS2007), UTM Zone 18, meters and vertical datum of NAVD1988 (GEOID09), meters. Upon receipt, for data storage and Digital Coast provisioning purposes, the NOAA Coastal Services Center converted the data to GRS80 Ellipsoid (GEOID09) heights, to geographic (NAD83, NSRS2007) coordinates, and from las format to laz format. LiDAR data were collected in RAW flightline swath format, processed to create Classified LAS 1.2 Files formatted to 2093 individual 750m x 750m tiles, Hydro Flattening Breaklines in Esri 1.0 meter gridded V-Datum ESRI Grid files formatted to the same 3000m x 3000m tile schema. LiDAR Data was originally delivered to NOAA/Dewberry for quality control validation under Delivery Lots 1 and 2. The lineage (data quality), positional, content (completeness), attribution, logical consistency, and accuracies of all digital elevation data produced conform to the specifications stipulated in NOAA Task Order EA133C11CQ0009 - T011.
        purpose:  The project was developed by the National Oceanic and Atmospheric Administration's (NOAA) Coastal Services Center in partnership with the New York State Department of Environmental Conservation (NYSDEC) to collect and deliver topographic elevation point data derived from multiple return light detection and ranging (LiDAR) measurements for areas of coastal New York including Long Island, eastern Westchester, and the tidal extents of the Hudson River. Data are intended for use in coastal management decision making, including applications such as detailed mapping of areas at risk of sea level rise according to projections developed by NYS and the remapping of Coastal Erosion Hazard Areas. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Intensity Images, Breaklines and Raster DEM.
        credit:  New York State Department of Environmental Conservation (NYSDEC)
        status:  (MD_ProgressCode) completed
        pointOfContact:  NOAA CSC (pointOfContact) (CI_ResponsibleParty)
            organisationName:
            role:  (CI_RoleCode) pointOfContact
        resourceMaintenance:  (MD_MaintenanceInformation)
            maintenanceAndUpdateFrequency:  (MD_MaintenanceFrequencyCode) unknown
        graphicOverview:  (MD_BrowseGraphic)
            fileName:  ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/ny/nysdec/2011_2012_NYSDEC_Lidar_Long_Island_and_Hudson_River.kmz
            fileDescription:  This kmz file shows the extent of coverage for the 2012 NYDES lidar data set.
            fileType:  kmz
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Bathymetry/Topography
            keyword:  model
            keyword:  LiDAR
            keyword:  DEM
            keyword:  Raster
            keyword:  breaklines
            keyword:  remote sensing
            keyword:  elevation
            keyword:  las
            type:  (MD_KeywordTypeCode) theme
            thesaurusName:  (CI_Citation)
                title:  none
                date:
        descriptiveKeywords:  (MD_Keywords)
            keyword:  United States
            keyword:  New York
            keyword:  Hudson River
            keyword:  Long Island
            keyword:  Albany County
            keyword:  Columbia County
            keyword:  Dutchess County
            keyword:  Greene County
            keyword:  Nassau County
            keyword:  Putnam County
            keyword:  Suffolk County
            keyword:  Ulster County
            keyword:  Westchester County
            keyword:  Albany
            keyword:  Kingston
            keyword:  Poughkeepsie
            keyword:  Yonkers
            keyword:  Great Neck
            keyword:  Larchmont
            keyword:  Shelter Island
            keyword:  Plum Island
            keyword:  Fishers Island
            keyword:  Gardiners Island
            keyword:  Montauk
            keyword:  Fire Island
            keyword:  Point Lookout
            type:  (MD_KeywordTypeCode) place
            thesaurusName:  (CI_Citation)
                title:  None
                date:
        resourceConstraints:  Lidar Use Limitation
        resourceConstraints:  NOAA Legal Statement
        spatialRepresentationType:  (MD_SpatialRepresentationTypeCode) vector
        language:  eng; USA
        topicCategory:  (MD_TopicCategoryCode) elevation
        extent:  (EX_Extent)
            geographicElement:  (EX_GeographicBoundingBox)
                westBoundLongitude:  -74.078028
                eastBoundLongitude:  -71.828074
                southBoundLatitude:  40.558624
                northBoundLatitude:  42.786433
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimePeriod:
                    beginPosition:  2011-11-26
                    endPosition:  2012-04-07
        supplementalInformation:  Lifts were flown out of specific airports at which base stations were set up and, sometimes, specific tide stations were used, creating another break in areas. 1B1 contained 46 flight lines and was flown on January 9, 2012 and January 11, 2012 with Optech SN247 in N2448G. 20N contained 39 flight lines and was flown on February 19-20, 2012 with Optech SN247 in N2448G. ALB contained 31 flight lines and was flown on January 7, 2012 and January 9, 2012 with Optech SN247 in N2448G. FRG-NOAA contained 144 flight lines flown on February 2-6, 2012; February 9, 2012; February 13-14, 2012 with Optech SN247 in N2448G. GON contained 15 flight lines flown on November 26, 2011 with Optech SN240 in N9471R. HTO contained 92 flight lines flown on January 15-16, 2012; January 18, 2012; and January 20, 2012 with Optech SN247 in N2448G. HWV contained 110 flight lines flown on January 25, 2012; January 28, 2012; January 30-31, 2012 with Optech SN247 in N2448G. POU contained 94 flight lines flown on December 12-14, 2012; and December 16, 2012 with Optech SN240 in N9471R. SWF-NOAA contained 32 flight lines flown on December 18-19, 2011 with Optech SN240 in N9471R. HPN contained 37 flight lines flown on April 6-7, 2012 with Optech SN246 in N7266Z. 1B1-TID-HUDSON contained 5 flight lines and was flown on February 20, 2012 with Optech SN247 in N2448G. HPN-TID-CROTON contained 5 flight lines flown on February 19, 2012 with Optech SN247 in N2448G. HPN-TID-HARVEST contained 6 flight lines flown on February 19, 2012 with Optech SN247 in N2448G. HPN-TID-PIERMON contained 4 flight lines flown on February 18, 2012 with Optech SN247 in N2448G SWF-TID-IONA-MA contained 9 flight lines flown February 17, 2012 with Optech SN247 in N2448G. SWF-TID-MARL-WA contained 5 flight lines flown February 17, 2012 with Optech SN247 in N2448G. SWF-TID-MOOD-FI contained 7 flight lines flown February 17, 2012 with Optech SN247 in N2448G.
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    distributionInfo:  (MD_Distribution)
        distributionFormat:  (MD_Format)
            name:  LAZ
            version:
        distributor:  (MD_Distributor)
            distributorContact:  NOAA CSC(distributor) (CI_ResponsibleParty)
                organisationName:
                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:  Mike Sutherland
            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.
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    dataQualityInfo:  (DQ_DataQuality)
        scope:  (DQ_Scope)
            level:  (MD_ScopeCode) dataset
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Horizontal Positional Accuracy Report
            evaluationMethodDescription:  The horizontal accuracy was not tested, but assumed to be 1 m.
            result:
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Vertical Positional Accuracy Report
            evaluationMethodDescription:  Deliverables were tested by Photo Science for both vertical and horizontal accuracy. All data is seamless from one tile to the next, no gaps or no data areas. Although collected on a tile-by-tile basis, breaklines are merged together to produce a single deliverable dataset. Checks are done to ensure that the data is seamless from one tile to the next before being combined and that breaklines meeting the project requirements have been collected across the entire project area. The vertical unit of the data file is in decimal meters with 2-decimal point precision. Combining the breaklines with LiDAR data to create other deliverables is another check of the data. The reported RMSEz value was determined using the calibration control points, and not the Blind Control. The calibration control points are the same points that were used to remove any bias in the dataset before bare earth editing. The listed RMSEz value shown below was calculated from the ground (ASPRS Class 2) data in the final Classified LAS file.
            result:
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Vertical Positional Accuracy
            measureDescription:  RMSE in meters, as calculated from Classified LAS files
            result:  (DQ_QuantitativeResult)
                valueUnit:
                  BaseUnit:
                    identifier:  meters
                    unitsSystem:
                value:
                  Record:  0.09
        report:  (DQ_CompletenessCommission)
            evaluationMethodDescription:  Datasets contain complete coverage of project area and tiles.
            result:
        report:  (DQ_ConceptualConsistency)
            measureDescription:  Raw Flightlines, Classified LAS files, Breaklines, and Raster DEMs were tested by Photo Science for both vertical and horizontal accuracy. Although collected on a tile-by-tile basis, breaklines are merged together to produce a single deliverable dataset. Checks are done to ensure that the data is seamless from one tile to the next before being combined and that breaklines meeting the project requirements have been collected across the entire project area. Combining the breaklines with LiDAR data to create other deliverables is another check of the data. All data are seamless from one tile to the next, no gaps or no data areas.
            result:
        lineage:  (LI_Lineage)
            processStep:  (LE_ProcessStep)
                description:  Control Process: Photo Science, Inc. established a total of 81 control points that were used to calibrate the LiDAR to known ground locations established throughout the New York project area to be used in the post processing of the LiDAR data. The points were located on relatively flat terrain on surfaces that generally consisted of grass, gravel, pavement or bare earth and were in well- defined discrete locations. Additionally, points collected for Photo Science from various projects located in the region were also used to adjust the LiDAR data to the final elevation. Surveyed points were used from the Northeast LiDAR and Fire Island, NY LiDAR projects for United States Geological Survey (USGS). See Final Survey Reports for additional collection parameters and methodologies. Raw Flight Line Process: Applanix software was used in the post processing of the airborne GPS and inertial data that is critical to the positioning and orientation of the sensor during all flights. POSPac MMS provides the smoothed best estimate of trajectory (SBET) that is necessary for Optech's post processor to develop the point cloud from the LiDAR missions. The point cloud is the mathematical three dimensional collection of all returns from all laser pulses as determined from the aerial mission. At this point this data is ready for analysis, classification, and filtering to generate a bare earth surface model in which the above ground features are removed from the data set. The point cloud was manipulated within the Optech software; GeoCue, TerraScan, and TerraModeler software was used for the automated data classification, manual cleanup, and bare earth generation from this data. Project specific macros were used to classify the ground and to remove the side overlap between parallel flight lines. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Classified LAS Process: All ground (ASPRS Class 2) LiDAR data inside of the Lake Pond and Double Line Drain hydro flattening breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 1 meter was also used around each hydro flattened feature to classify these ground (ASPRS Class 2) points to ignored ground (ASPRS Class 10). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (ASPRS Class 2) were reclassified to the correct classification after the automated classification was completed. A class has been added to the dataset to represent the tidal water of the ocean/tidal areas collected throughout the project area. ASPRS Class 14 is being used to represent the tidal water ocean surface. While attempts were made to remove all extraneous features above the surface of the water, there may be above surface features classified to this class. Some islands below the required collection specifications have been classified to this class as well. This class was also used during the creation of the ERDAS Imagine Tidal Water Raster DEM files. The Tidal Water breaklines were used to complete the automated classification of these classes within the final LAS files. All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes by USGS. The overlap data was classified to Class 17 (USGS Overlap Default) and Class 18 (USGS Overlap Ground). These classes were created through automated processes only and were not verified for classification accuracy. Due to software limitations within TerraScan, these classes were used to trip the Withheld bit within various software packages. These processes were reviewed and accepted by NOAA through numerous conference calls and pilot study areas. Data was then run through additional macros to ensure deliverable classification levels matching the ASPRS LAS Version 1.2 Classification structure. GeoCue functionality was then used to ensure correct LAS Versioning. In-house software was used as a final QA/QC check to provide LAS Analysis of the delivered tiles. QA/QC checks were performed on a per tile level to verify final classification metrics and full LAS header information. All ground (ASPRS Class 2) LiDAR data inside of the collected inland breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 1 meter was also used around each hydro flattened feature. These points were moved from ground (ASPRS Class 2) to Ignored Ground (ASPRS Class 10). All ground (ASPRS Class 2) LiDAR data inside of the collected tidal/ocean breaklines were then classified to tidal water (USGS Class 14) using TerraScan macro functionality. A buffer of 1 meter was also used around each hydro flattened feature. These points were moved from ground (ASPRS Class 2) to Ignored Ground (ASPRS Class 10). A manual QA review of the tiles was completed using in-house proprietary software to ensure full coverage, correct deliverable classification within the project area.
                dateTime:
                  DateTime:  2012-01-01T00:00:00
            processStep:  (LE_ProcessStep)
                description:  The NOAA Coastal Services Center (CSC) received the data in las format. The files contained lidar elevation and intensity measurements. The data were received in UTM, Zone 18 coordinates and vertically referenced to NAVD88 using the Geoid09 model. The vertical units of the data were meters. CSC performed the following processing for data storage and Digital Coast provisioning purposes: 1. Files were filtered for elevation outliers. 2. Files were converted from orthometric (NAVD88) heights to ellipsoidal heights using Geoid09. 3. Files were converted from UTM, Zone 18 coordinates to geographic (NAD83, NSRS2007) coordinates 4. Classifications were changed from Unclassified (1), Ground (2), Low Point (Noise) (7), Water (9), Breakline Edge (10), Withheld (11), Tidal Water (14), Overlap Default (17), and Overlap Ground (18), Overlap Water (25), and Overlap Tidal Water (30) to Unclassified (1), Ground (2), Low Point (Noise) (7), and Water (9). 5. The data were converted to LAZ format.
                dateTime:
                  DateTime:  2012-11-01T00:00:00
                processor:  NOAA CSC (processor) (CI_ResponsibleParty)
                    organisationName:
                    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:  2013-01-22T00:00:00
                processor:  Mike Sutherland (processor) (CI_ResponsibleParty)
                    organisationName:
                    role:  (CI_RoleCode) processor
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    metadataMaintenance:  (MD_MaintenanceInformation)
        maintenanceAndUpdateFrequency:  (MD_MaintenanceFrequencyCode) annually
        dateOfNextUpdate:  2014-01-22
        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 2013-01-22T13:16:24.027-07:00