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Metadata Identifier: gov.noaa.csc.maps:in2009_2012_iot_maumeeriverbasin_counties_m2550

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 2009-2012 Indiana Statewide Imagery and LiDAR Program: Maumee River Basin Counties The counties comprised in this dataset have been chosen based on the relation to the Maumee River basin, a portion of the Lake Erie basin and correlated with the northwestern counties in Ohio which form composite continuous lidar data for the Lake Erie basin and the Great Lakes basin system. The Indiana Statewide Imagery and LiDAR project includes data captured at the following specifications: This project is comprised of Wells and Adams counties collected in 2012, as part of Area 2; Noble, DeKalb and Steuben counties collected in 2010; Allen county collected in 2009.
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SV_Identification

none found
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CI_Citation

Count Component Title Date Citation Identifier
1 2009-2012 Indiana Statewide Imagery and LiDAR Program: Maumee River Basin Counties
  • 2013-09-04
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 NOAA CSC (originator) DOC/NOAA/NOS/CSC > Coastal Services Center, National Ocean Service, National Oceanic and Atmospheric Administration, U.S. Department of Commerce csc.info@noaa.gov originator
    1 NOAA CSC(distributor) DOC/NOAA/NOS/CSC > Coastal Services Center, National Ocean Service, National Oceanic and Atmospheric Administration, U.S. Department of Commerce csc.info@noaa.gov distributor
    1 NOAA CSC (processor) DOC/NOAA/NOS/CSC > Coastal Services Center, National Ocean Service, National Oceanic and Atmospheric Administration, U.S. Department of Commerce csc.info@noaa.gov processor
    1 EPSG Registry European Petroleum Survey Group publisher http://www.epsg-registry.org/
    1 Indiana Geographic Information Office, Indiana Office of Technology (GIO-IOT) originator
    1 Indiana Office of Information Technology State of Indiana GIS Officer 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 Mike Sutherland (processor) Mike Sutherland DOC/NOAA/NESDIS/NGDC > National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce mike.sutherland@noaa.gov processor
    5 Woolpert, Inc. Geospatial Services processor
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    CI_OnlineResource

    Count Component Linkage Name Description Function
    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 -85.6596921 -84.7987712 41.7666549 40.5579374 2012-02-27 2012-03-09 2012-03-13 2012-03-28 2012-03-01 2012-03-11 2012-03-14 2012-03-30
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    EX_GeographicBoundingBox

    Count Component West East North South
    1 -85.6596921 -84.7987712 41.7666549 40.5579374
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    EX_TemporalExtent

    Count Component Start End
    12
    1 2012-02-27 2012-03-01
    1 2012-03-09 2012-03-11
    1 2012-03-13 2012-03-14
    1 2012-03-28 2012-03-30
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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

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    MD_AggregateInformation

    none found
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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 2011-01-01T00:00:00 The Optech Gemini and Leica systems' LiDAR system calibration and 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.
    1 2012-03-02T00:00:00 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.
    1 2012-04-03T00:00:00 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 homogenous 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 bare-earth points (Class 2), noise (Class 7), water (Class 9) ignored ground (Class 10), unclassified data (Class 1), overlap points (Class 12), and bridges (Class 13). The bare-earth (Class 2 - Ground) LiDAR points underwent a manual QA/QC step to verify that artifacts have been removed from the bare-earth surface. The surveyed ground control points are used to perform the accuracy checks and statistical analysis of the LiDAR dataset.
    1 2012-04-30T00:00:00 Block 7(partial) and 8 - Using an Optech Gemini LiDAR system, 152 flight lines of high density data, at a nominal pulse spacing (NPS) of 1.5 meter (1.0 meters for Floyd and Dearborn Counties)and Blocks 5, 6, and 7(partial) - Using Leica ALS LiDAR systems, 219 flight lines of high density data were collected, at a nominal pulse spacing (NPS) of 1.5 meter. Multiple returns were recorded for each laser pulse along with an intensity value for each return. A total of thirty (30) missions were flown January 31, 2012 December 13, 2012. Eleven (11) airborne global positioning system (GPS) base stations were used in support of the LiDAR data acquisition. 248 ground control points were surveyed through static methods. The geoid used to reduce satellite derived elevations to orthometric heights was Geoid09. The horizontal datum used for this survey is North American Datum 1983 (NSRS2007), Indiana State Plane Coordinate System, East Zone, and expressed in US Survey Feet. The vertical datum used for this survey is North American Vertical Datum 1988 (NAVD88), and expressed in US Survey Feet. 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. System Parameters: - Type of Scanner = Optech Gemini - Data Acquisition Height = 7,380-feet AGL - Scanner Field of View = 20 degrees - Scan Frequency = 32 Hertz - Pulse Repetition Rate - 100.0 Kilohertz - Aircraft Speed = 150 Knots - Swath Width = 5374 feet - Number of Returns Per Pulse = Maximum of 4 - Distance Between Flight Lines = Varies. System Parameters: - Type of Scanner = Leica ALS50-II / ALS60 / ALS70 - Data Acquisition Height = 7800 feet AGL - Scanner Field of View = 40 degrees - Scan Frequency = Varies - Pulse Repetition Rate - 99 Kilohertz - Aircraft Speed = Varies - Swath Width = 5678 feet - Number of Returns Per Pulse = Maximum of 4 - Distance Between Flight Lines = Varies.
    1 2012-04-30T00:00:00 Breaklines defining lakes, greater than two acres, and double-line streams, wider than 100 feet (30.5 meters), were compiled using digital photogrammetric techniques as part of the hydrographic flattening process and provided as ESRI Polyline Z and Polygon Z shape files. Breaklines defining water bodies and streams were compiled for this task order. The breaklines were used to perform the hydrologic flattening of water bodies, and gradient hydrologic flattening of double line streams. Lakes, reservoirs and ponds, at a nominal minimum size of two (2) acres or greater, were compiled as closed polygons. The closed water bodies were collected at a constant elevation. Rivers and streams, at a nominal minimum width of 100 feet (30.5 meters), were compiled in the direction of flow with both sides of the stream maintaining an equal gradient elevation. The hydrologic flattening of the LiDAR data was performed for inclusion in the National Elevation Dataset (NED).
    1 2013-09-04T00:00:00 The NOAA Coastal Services Center (CSC) received the files in las format. The files contained Lidar elevation and intensity measurements. The data were in Indiana State Plane projection east (1301) in feet and NAVD88 Geoid 09 vertical datum. CSC performed the following processing to the data to make it available within the Digital Coast: 1. The data were converted from State Plane coordinates to geographic coordinates. 2. The data were converted from NAVD88 (orthometric) heights to GRS80 (ellipsoid) heights using Geoid 03. 3. The high and low error outlier elevations were removed and variable length records (vlr) were removed. 4. The LAS data were sorted by latitude and the headers were updated. 5. Originally classed points as bridges (classification 13) were moved to ASPRS class 17 (bridge deck). 6. The data were converted to LAZ format.
    1 2013-10-31T00:00:00 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

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    MI_Platform

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    MI_Instrument

    none found
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