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Metadata Identifier: gov.noaa.csc.maps:2007_Fl_Jefferson_m83

Aggregation Info | Bands | Citations | Constraints | Coverage Descriptions | Dimensions | Extents | Formats | Geographic Bounding Box
Georectified Information | Georeferenceable Information | Identifiers | Instruments | Mediums | OnlineResources | Operations
Platforms | Process Steps | Range Elements | Reference Systems | Responsible Parties | Series | Sources | Spatial Grids | Temporal Extents

MD_DataIdentification

Count Component Title Abstract
1 2007 Northwest Florida Water Management District (NWFWMD) Lidar: North Jefferson County LIDAR data is remotely sensed high-resolution elevation data collected by an airborne collection platform. Using a combination of laser range finding, GPS positioning and inertial measurement technologies; LIDAR instruments are able to make highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures and vegetation. Using a LH Systems ALS50 Light Detection And Ranging (LiDAR) system, 262 flight lines of high density (submeter ground sample distance) data were collected in the northern half of Jefferson County in Florida. This data set was collected at the same time as the collection for portions of Bay, Calhoun, Jackson and Washington Counties. Collectively, these data sets cover approximately 1201 square miles. The Jefferson County project covers approximately 513 square miles. The data acquisition occurred in 17 missions between February 22, 2007 and March 13, 2007. Multiple returns were recorded for each laser pulse along with an intensity value for each return. This data was collected at sub-meter resolution to provide average point spacing of 0.7 m for collected points. Up to 5 returns were recorded for each pulse in addition to an intensity value.
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SV_Identification

none found
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CI_Citation

Count Component Title Date Citation Identifier
2 2007 Northwest Florida Water Management District (NWFWMD) Lidar: North Jefferson County
  • 2007-11-05
1 Lidar Final Report
    2 None
      1 North American Datum 1983
      • 2007-01-19
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      CI_Series

      none found
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      CI_ResponsibleParty

      Count Component Individual Organization Position Email Role Linkage
      1 Mike Sutherland(author) author
      1 resourceProvider http://www.epsg-registry.org/export.htm?gml=urn:ogc:def:crs:EPSG::4269
      1 NOAA CSC (publisher) publisher
      1 Citation URL ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/fl/jefferson/ReportLidarQAQCJeffersonv2.doc
      1 NOAA CSC(distributor) distributor
      1 NOAA CSC (processor) processor
      1 EPSG Registry European Petroleum Survey Group publisher http://www.epsg-registry.org/
      1 John Crowe Northwest Florida Water Management District (NWFWMD) john.crowe@nwfwmd.state.fl.us pointOfContact
      2 Northwest Florida Water Management District (NWFWMD) originator
      1 Pamela Grothe DOC/NOAA/NESDIS/NGDC > National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce processor
      7 Steve Jones Sanborn Project Manager sjones@sanborn.com processor
      Unresolved Xlinks
      Mike Sutherland(author) at: /gmi:MI_Metadata/gmd:contact[1]
      NOAA CSC (originator) at: /gmi:MI_Metadata/gmd:identificationInfo[1]/gmd:MD_DataIdentification[1]/gmd:citation[1]/gmd:CI_Citation[1]/gmd:citedResponsibleParty[1]
      NOAA CSC (publisher) at: /gmi:MI_Metadata/gmd:identificationInfo[1]/gmd:MD_DataIdentification[1]/gmd:citation[1]/gmd:CI_Citation[1]/gmd:citedResponsibleParty[3]
      NOAA CSC(distributor) at: /gmi:MI_Metadata/gmd:distributionInfo[1]/gmd:MD_Distribution[1]/gmd:distributor[1]/gmd:MD_Distributor[1]/gmd:distributorContact[1]
      Mike Sutherland at: /gmi:MI_Metadata/gmd:distributionInfo[1]/gmd:MD_Distribution[1]/gmd:distributor[2]/gmd:MD_Distributor[1]/gmd:distributorContact[1]
      NOAA CSC (processor) at: /gmi:MI_Metadata/gmd:dataQualityInfo[1]/gmd:DQ_DataQuality[1]/gmd:lineage[1]/gmd:LI_Lineage[1]/gmd:processStep[8]/gmi:LE_ProcessStep[1]/gmd:processor[1]
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      CI_OnlineResource

      Count Component Linkage Name Description Function
      1 ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/fl/jefferson/ReportLidarQAQCJeffersonv2.doc Lidar Final Report information
      1 http://www.epsg-registry.org/ European Petroleum Survey Group Geodetic Parameter Registry Registry that accesses the EPSG Geodetic Parameter Dataset, which is a structured dataset of Coordinate Reference Systems and Coordinate Transformations. search
      1 http://www.epsg-registry.org/export.htm?gml=urn:ogc:def:crs:EPSG::4269 NAD83 Link to Geographic Markup Language (GML) description of reference system. information
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      MD_Identifier or RS_Identifier

      Count Component Code
      1 Ellipsoid in Meters
      1 urn:ogc:def:crs:EPSG::4269
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      EX_Extent

      Bounding Box Temporal Extent
      Count Component Description West East North South Start End
      1 -84.090823 -83.589723 30.690160 30.290560 2007-02-22 2007-03-13
      1
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      EX_GeographicBoundingBox

      Count Component West East North South
      1 -84.090823 -83.589723 30.690160 30.290560
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      EX_TemporalExtent

      Count Component Start End
      1 2007-02-22 2007-03-13
      1
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      MD_Format

      Count Component Name Version specification
      1 LAZ
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      MD_Medium

      none found
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      MD_Constraints

      Unresolved Xlinks
      Lidar Use Limitation at: /gmi:MI_Metadata/gmd:identificationInfo[1]/gmd:MD_DataIdentification[1]/gmd:resourceConstraints[1]
      NOAA Legal Statement at: /gmi:MI_Metadata/gmd:identificationInfo[1]/gmd:MD_DataIdentification[1]/gmd:resourceConstraints[2]
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      MD_ReferenceSystem

      Count Component Code Authority Title
      1 Ellipsoid Ellipsoid in Meters
      1 NAD83 urn:ogc:def:crs:EPSG::4269 North American Datum 1983
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      MD_GridSpatialRepresentation

      none found
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      MD_Georeferenceable or MI_Georeferenceable

      none found
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      MD_Georectified or MI_Georectified

      none found
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      MD_Dimension

      none found
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      MD_CoverageDescription or MI_CoverageDescription

      none found
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      MD_Band or MI_Band

      none found
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      MI_RangeElementDescription

      none found
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      MD_AggregateInformation

      Count Component Title Code Association Type Code
      1 Lidar Final Report crossReference
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      LE_Source or LI_Source

      Count Component Title Date Description
      1 2007 Northwest Florida Water Management District (NWFWMD) Lidar: North Jefferson County 2007-11-02 Source Contribution: Type of LiDAR Scanner = LH Systems ALS50 Data Acquisition Height = 700 meters AGL Scanner Field Of View = 40 degrees Scan Frequency = 35 Hertz Pulse Repetition Rate - 50 Kilohertz Aircraft Speed = 120 KIAS Swath Width = +/- 20 degrees Nominal Ground Sample Distance = 0.7 meters Number of Returns per Pulse = 5 (first, last, intermediate) Distance Between Flight Lines = 365 meters Source Type: Digital Tape Media
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      LE_ProcessStep or LI_ProcessStep

      Count Component DateTime Description
      1 2007-02-22T00:00:00 Data Collection: Using a LH Systems ALS50 Light Detection And Ranging (LiDAR) system, 262 flight lines of high density (submeter ground sample distance) data were collected over the northern half of Jefferson County in Florida. This data was collected at the same time as the collection for portions of Bay, Calhoun, Jackson and Washington Counties. Collectively, these data sets cover approximately 1201 square miles. The Jefferson County project covers approximately 513 square miles. The data acquisition occurred in 17 missions between February 22, 2007 and March 13, 2007. Multiple returns were recorded for each laser pulse along with an intensity value for each return. During the LIDAR campaign, the Sanborn field crew conducted a GPS field survey to establish final coordinates of the ground base stations for final processing of the base-remote GPS solutions. Four (4) airborne global positioning system (GPS) base stations were used to support the LiDAR data acquisition. GPS ground control check points were also collected by the LiDAR team while onsite for product accuracy validation and delivery.
      1 2007-04-01T00:00:00 Airborne GPS Processing: Airborne GPS data was differentially processed and integrated with the post processed IMU data to derive a smoothed best estimate of trajectory (SBET). The SBET was used to reduce the LiDAR slant range measurements to a raw reflective surface for each flight line. The overlap between flight lines was removed to provide a homogeneous coverage, and the coverage was classified to extract a bare earth digital elevation model (DEM). Airborne GPS is differentially processed using the GrafNAV V7.50 software by Waypoint Consulting of Calgary, Alberta, Canada. The PDOP and distance separation is as follows: IMU data is processed using the PosPac V4.2 software by Applanix Corporation of Richmond Hill, Ontario, Canada. The reflective surface is derived using the ALS Post Processor software by Leica Geosystems GIS & Mapping Division of Atlanta, Georgia. The classification and quality control (QC) of LiDAR data is carried out using TerraScan software by Terrasolid Limited of Helsinki, Finland.
      1 2007-05-01T00:00:00 IMU data Processing: IMU data provides information concerning roll, pitch and yaw of collection platform during collection event. IMU information allows the pulse vector to be properly placed in 3D space allowing the distance from the aircraft reference point to be properly positioned on the elevation model surface. IMU data is processed using the PosPac V4.2 software by Applanix Corporation of Richmond Hill, Ontario, Canada.
      1 2007-06-01T00:00:00 Reflective Surface Generation: The reflective surface is derived using the ALS Post Processor software by Leica Geosystems GIS & Mapping Division of Atlanta, Georgia.
      1 2007-10-01T00:00:00 LIDAR Ground Point Classification: The classification and quality control (QC) of LiDAR Ground point class is carried out using TerraScan software by Terrasolid Limited of Helsinki, Finland. In the filtering process points are classified as Ground or one of several non-Ground classes including Unclassified, Overlap, and Low Points.
      1 2007-11-01T00:00:00 Reclassification of Water Points: LiDAR returns from open water surfaces are commonly included in the Ground class by the ground filtering algorithms. Using 2D and 3D visualization methods, 2D vector polygons were digitized for significant waterways and water bodies that were readily identifiable in the LiDAR data. These polygons were then used to re-classify points in open water from the filtered Ground class to the Water class.
      1 2007-11-09T00:00:00 Coordinate Reprojection: Output LAS Files LIDAR points maintained in UTM coordinate system converted to Geographic projection with units of Decimal Degrees
      1 2008-07-21T00:00:00 The NOAA Coastal Services Center (CSC) received files in LAS format. The files contained LiDAR intensity and elevation measurements. CSC performed the following processing on the data to make it available within the LiDAR Data Retrieval Tool (LDART): 1. The data were converted from NAVD88 (orthometric) heights to GRS80 (ellipsoid) heights using Geoid 03. 2. The LAS header fields were sorted by latitude and updated. 3. The data was filtered to eliminate outliers.
      NOAA CSC (processor) at Xpath: /gmi:MI_Metadata/gmd:dataQualityInfo[1]/gmd:DQ_DataQuality[1]/gmd:lineage[1]/gmd:LI_Lineage[1]/gmd:processStep[8]/gmi:LE_ProcessStep[1]/gmd:processor[1]
      1 2009-04-21T00:00:00 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.
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      MI_Operation

      none found
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      MI_Platform

      none found
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      MI_Instrument

      none found
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