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Metadata Identifier: gov.noaa.csc.maps:2007_OR_DOGAMI_m82

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 Oregon Department of Geology and Mineral Industries (DoGAMI) LiDAR: Northwest Oregon and Portland Metro Area Watershed Sciences, Inc. collected Light Detection and Ranging (LiDAR) data for the Oregon Department of Geology and Mineral Industries (DoGAMI) and the Oregon Department of Forestry (ODF) between March 15 and November 7 2007. This data set has bare earth and unclassified points. The dataset encompasses portions of the following counties in northwest Oregon: Multnomah, Marion, Hood River, Clackamas, Columbia, Washington and Yamhill. Areas of interest within this data set are the Portland Metro area, Mt. Hood and Silver Falls State Park. There is approximately 8 points per square meter over terrestrial surfaces. In some areas of heavy vegetation or forest cover, there may be relatively few ground points in the LiDAR data. Elevation values for open water surfaces are not valid elevation values because few LiDAR points are returned from water surfaces. Lidar intensity values were also collected.
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SV_Identification

none found
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CI_Citation

Count Component Title Date Citation Identifier
1 2007 Oregon Department of Geology and Mineral Industries (DoGAMI) LiDAR: Northwest Oregon and Portland Metro Area
  • 2007-01-01
1 Lidar Dataset Supplemental Information
    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 resourceProvider http://www.epsg-registry.org/export.htm?gml=urn:ogc:def:crs:EPSG::4269
      1 Citation URL ftp://csc.noaa.gov/pub/DigitalCoast/lidar1_z/geoid12a/data/82/supplemental/
      1 NOAA CSC (originator) DOC/NOAA/NOS/OCM > Office for Coastal Management, National Ocean Service, National Oceanic and Atmospheric Administration, U.S. Department of Commerce coastal.info@noaa.gov originator http://coast.noaa.gov
      1 NOAA CSC (publisher) DOC/NOAA/NOS/OCM > Office for Coastal Management, National Ocean Service, National Oceanic and Atmospheric Administration, U.S. Department of Commerce coastal.info@noaa.gov publisher http://coast.noaa.gov
      1 NOAA CSC(distributor) DOC/NOAA/NOS/OCM > Office for Coastal Management, National Ocean Service, National Oceanic and Atmospheric Administration, U.S. Department of Commerce coastal.info@noaa.gov distributor http://coast.noaa.gov
      1 NOAA CSC (processor) DOC/NOAA/NOS/OCM > Office for Coastal Management, National Ocean Service, National Oceanic and Atmospheric Administration, U.S. Department of Commerce coastal.info@noaa.gov processor http://coast.noaa.gov
      1 EPSG Registry European Petroleum Survey Group publisher http://www.epsg-registry.org/
      1 Ian Madin DoGAMI ian.madin@dogami.state.or.us pointOfContact
      1 Mike Sutherland(author) Mike Sutherland DOC/NOAA/NESDIS/NGDC > National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce mike.sutherland@noaa.gov author
      1 Mike Sutherland Mike Sutherland DOC/NOAA/NESDIS/NGDC > National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce mike.sutherland@noaa.gov distributor
      1 Oregon Department of Geology and Mineral Industries (DoGAMI) originator
      1 Pamela Grothe DOC/NOAA/NESDIS/NGDC > National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce processor
      2 Watershed Sciences, Inc. watershedsciences.com processor
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      CI_OnlineResource

      Count Component Linkage Name Description Function
      1 ftp://csc.noaa.gov/pub/DigitalCoast/lidar1_z/geoid12a/data/82/supplemental/ 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 information
      4 http://coast.noaa.gov
      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 -123.165316 -121.611916 45.904818 44.943718 2007-03-15 2007-11-07
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      EX_GeographicBoundingBox

      Count Component West East North South
      1 -123.165316 -121.611916 45.904818 44.943718
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      EX_TemporalExtent

      Count Component Start End
      1 2007-03-15 2007-11-07
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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

      Count Component Use Limitation
      1 Lidar Use Limitation 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.
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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 Dataset Supplemental Information crossReference
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      LE_Source or LI_Source

      none found
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      LE_ProcessStep or LI_ProcessStep

      Count Component DateTime Description
      1 2007-01-01T00:00:00 Acquisition. The LiDAR data was collected between March 15 and November 11, 2007. The survey used a Leica ALS50 Pase II laser system mounted in a Cessna Caravan 208, and an Optech 3100 laser system mounted in a Cessna Caravan 208. Near nadir scan angles were used to increase penetration of vegetation to ground surfaces. Ground level GPS and aircraft IMU were collected during the flight.
      1 2008-01-01T00:00:00 Processing. 1. Flight lines and data were reviewed to ensure complete coverage of the study area and positional accuracy of the laser points. 2. Laser point return coordinates were computed using ALS Post Processor software, IPAS Pro GPS/INS software, REALM survey suite, and PosPac software, based on independent data from the LiDAR system, IMU, and aircraft. 3. The raw LiDAR file was assembled into flight lines per return with each point having an associated x, y, and z coordinate. 4. Visual inspection of swath to swath laser point consistencies within the study area were used to perform manual refinements of system alignment. 5. Custom algorithms were designed to evaluate points between adjacent flight lines. Automated system alignment was computed based upon randomly selected swath to swath accuracy measurements that consider elevation, slope, and intensities. Specifically, refinement in the combination of system pitch, roll and yaw offset parameters optimize internal consistency. 6. Noise (e.g., pits and birds) was filtered using ALS postprocessing software and REALM software tools, based on known elevation ranges and included the removal of any cycle slips. 7. Using TerraScan and Microstation, ground classifications utilized custom settings appropriate to the study area. 8. The corrected and filtered return points were compared to the RTK ground survey points collected to verify the vertical and horizontal accuracies. 9. Points were output as laser points, TINed and GRIDed surfaces.
      1 2008-07-17T00:00:00 The NOAA Coastal Services Center (CSC) received the files in las format. The files contained Lidar elevation and intensity measurements. The data was in Lambert Conformal Conic and Oregon State Plane projections, and NAVD88 Geoid 03 vertical datum. CSC performed the following processing to the data to make it available within the LDART Retrieval Tool (LDART): 1. The data were converted from Lambert Conformal Conic and Oregon State Plane coordinates to geographic coordinates. 2. The data were converted from NAVD88 (orthometric) heights to GRS80 (ellipsoid) heights using Geoid 03. 3. The LAS data were sorted by latitude and the headers were updated.
      1 2011-09-19T00:00:00 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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