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2005 Southwest Florida Water Management District (SWFWMD) LiDAR: Weeki Wachee

browse graphicThis kmz file shows the extent of coverage for the 2005 SWFWMD Weeki Wachee, FL lidar data set.
This data set is one component of a digital terrain model (DTM) for Weeki Wachee, Hernando County, Florida encompassing approximately 13.5 square miles. This dataset is comprised of 15 LiDAR files, based on the DISTRICT 5,000' by 5,000' sheet index system, in the LAS file format. The raw data was collected at an average ground sample distance of 1-meter. Other components of the DTM include: 3-D breaklines along hydrographic features in the Shape file format; lake/pond polygons (in 3D) in the shape file format; obscured area polygons (in 2D) in the Shape file format; and hard/soft breaklines (in 3D) in the Shape file format.

Cite this dataset when used as a source.

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    Distribution Formats
    • LAZ
    Distributor DOC/NOAA/NOS/CSC > Coastal Services Center, National Ocean Service, National Oceanic and Atmospheric Administration, U.S. Department of Commerce
    Point of Contact Southwest Florida Water Management District
    352-796-7211
    data.maps@watermatters.org
    Documentation links not available.
    Originator
    • DOC/NOAA/NOS/CSC > Coastal Services Center, National Ocean Service, National Oceanic and Atmospheric Administration, U.S. Department of Commerce
    Originator
    • Southwest Florida Water Management District (SWFWMD)
    Publisher
    • DOC/NOAA/NOS/CSC > Coastal Services Center, National Ocean Service, National Oceanic and Atmospheric Administration, U.S. Department of Commerce
    Date(s)
    • publication: 2013-08-30
    Data Presentation Form: Digital image
    Dataset Progress Status Complete
    Data Update Frequency: As needed
    Purpose: The DTM was developed to support the DISTRICT's regulatory, land management and acquisition, planning, engineering, and habitat restoration projects
    Use Limitations
    • 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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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.
    Time Period: Unknown  to  Unknown
    Spatial Reference System: urn:ogc:def:crs:EPSG::4269 Ellipsoid in Meters
    Spatial Bounding Box Coordinates:
    N: 28.555114
    S: 28.513488
    E: -82.564208
    W: -82.657775
    Spatial Coverage Map:
    Themes
    • Bathymetry/Topography
    • LiDAR LAS digital terrain model
    • LiDAR
    • Terrain
    • Model
    • Elevation
    • Surface
    Places
    • Weeki Wachee
    • Florida
    • Gulf Coast
    Use Constraints No constraint information available
    Fees Fee information not available.
    Lineage Statement Lineage statement not available.
    Processor
    • Woolpert, Inc.
    • DOC/NOAA/NOS/CSC > Coastal Services Center, National Ocean Service, National Oceanic and Atmospheric Administration, U.S. Department of Commerce
    • DOC/NOAA/NESDIS/NGDC > National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce
    Processing Steps
    • The LiDAR data was acquired using a Leica ALS50 from an altitude of 1,000-meters above ground level to provide an average ground sample distance of 1-meter. The scanner field of view was 44-degrees, and the scan rate was 33-hertz. First and last return data was collected along with the signal return intensity. Two redundant airborne GPS bases stations were utilized during the data acquisition with maximum line-of-sight distance between the base station and aircraft of 20-km. The LiDAR data was reduced using Grafnav (Waypoint Consulting) for GPS post-processing, PosProc (Applanix Crop) for IMU processing, ALS50 Post Processor (LH Systems) to initial LiDAR processing, TerraScan (Terrasolid) for initial point classification, and proprietary Woolpert developed software for refining the point classification and QC. The LAS files contain 4 classifications: 1 = unclassified; 2 = ground; 9 = water; and 10 = photogrammetric mass points. The class 1 consists of all points not on the ground. Class 2 consists of bare earth points. Class 3 consists of points within water polygons such as swamps and/or wetlands. Class 4 consists of supplementary mass points that were photogrametrically compiled on points features suchs as peaks or pits, and they were created to mainatin the accuracy of the DTM.
    • The NOAA Coastal Services Center (CSC) received the files in las format. The files contained lidar elevation and intensity measurements. The data were in FL State Plane West coordinates and NAVD88 (orthometric) heights in feet. CSC performed the following processing for data storage and Digital Coast provisioning purposes: 1. The data were converted from FL State Plane west coordinates to geographic coordinates. 2. The data were converted from NAVD88 (orthometric) heights in feet to GRS80 (ellipsoid) heights in meters using Geoid 03. 3. The LAS data were sorted by latitude and the headers were updated. 4. The data were converted to LAZ format.
    • 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.

    Metadata Last Modified: 2013-10-17

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