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Metadata Identifier: gov.noaa.csc.maps:2007_FL_SWFWMD_Hillsborough_m79

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 Southwest Florida Water Management District (SWFWMD) LiDAR: Hillsborough/Little Manatee Districts EarthData International collected ADS-50 derived LiDAR over a portion of Hillsborough and Manatee Counties with a one meter post spacing. The period of collection was between 12 January and 20 January 2007. The collection was performed by EarthData Aviation, using a Leica ALS-50 LiDAR system, including an inertial measuring unit (IMU) and a dual frequency GPS receiver. This project required eleven lifts of flight lines be collected. The product generated consisted of LiDAR bare earth elevation models in LAS format. This data set is one component of a digital terrain model (DTM) for the Southwest Florida Water Management District's FY 2007 Hillsborough County - Watershed Management Plan Topographic Information Mapping (L762) and FY 2007 Little Manatee River Watershed Management Plan (L604), encompassing approximately 453 square miles in Hillsborough County and 82 square miles in Manatee County. The 2007 LiDAR data set is comprised of 3-D mass points delivered in the LAS file format based upon the District's 5,000' x 5,000' grid with 505 cells in the Hillsborough area with an additional 91 cells in the Little Manatee area. An additional 12 cells were added to the Hillsborough area. The other DTM component is 2-D and 3-D breakline features in the ESRI ArcGIS Personal Geodatabase format. The breaklines were collected using Aerial photography captured for the Southwest Florida Water Management District FY 2007 Digital Orthophoto (B089) Central District One-foot Orthophoto project. The stream breaklines were the corrected to the hillshade LiDAR data. Contours (2-foot) were generated from the DTM that meet the National Standard for Spatial Data Accuracy (NSSDA) for 2-foot contours (FEMA specifications). Bare earth LiDAR mass point data display a vertical accuracy of at least 0.3-feet root mean square (RMSE) in open and unobscured areas with standard reflective quality.
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SV_Identification

none found
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CI_Citation

Count Component Title Date Citation Identifier
1 2007 Southwest Florida Water Management District (SWFWMD) LiDAR: Hillsborough/Little Manatee Districts
  • 2008-01-01
1 Hillsborough Little Manatee Aerial Acquisition
  • 2007-01-20
1 Lidar Final Report
    2 None
      1 North American Datum 1983
      • 2007-01-19
      1 Report of GPS Survey Hillsborough and Little Manatee River Basin, FL
      • 2007-02-18
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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://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/fl/swfwmd/Hillsborough_County_Report_Topographic_Survey.pdf
      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 (publisher) DOC/NOAA/NOS/CSC > Coastal Services Center, National Ocean Service, National Oceanic and Atmospheric Administration, U.S. Department of Commerce csc.info@noaa.gov publisher
      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 EarthData Aviation originator
      1 EPSG Registry European Petroleum Survey Group publisher http://www.epsg-registry.org/
      1 Frank Sokoloski Fugro EarthData, Inc Project Manager fsokoloski@earthdata.com processor
      1 Frank Sokoloski Fugro EarthData, Inc. Project Manager fsokoloski@earthdata.com processor
      1 Kevin J. Chappell originator
      1 Mapping and GIS section Southwest Florida Water Management District 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 Pamela Grothe DOC/NOAA/NESDIS/NGDC > National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce processor
      1 Southwest Florida Water Management District (SWFWMD) originator
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      CI_OnlineResource

      Count Component Linkage Name Description Function
      1 ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/fl/swfwmd/Hillsborough_County_Report_Topographic_Survey.pdf 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 -82.407173 -82.065375 28.185085 27.634385 2007-01-12 2007-01-20
      1 2007-01-12 2007-01-20
      1 2006-01-14 2007-03-13
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      EX_GeographicBoundingBox

      Count Component West East North South
      1 -82.407173 -82.065375 28.185085 27.634385
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      EX_TemporalExtent

      Count Component Start End
      2 2007-01-12 2007-01-20
      1 2006-01-14 2007-03-13
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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 Final Report crossReference
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      LE_Source or LI_Source

      Count Component Title Date Description
      1 Hillsborough Little Manatee Aerial Acquisition 2007-01-20 Source Contribution: Aerial Acquisition. EarthData International collected ALS-50-derived LiDAR over Upper Myakka Florida with a one-meter post spacing using aircraft number N2636P. The period of collection was between 12 January and 2o January 2007. The collection was performed by EarthData Aviation, using a Leica ALS-50 LiDAR system, serial number ALS036, including an inertial measuring unit (IMU) and a dual frequency GPS receiver. This project required eleven lifts of flight lines to be collected. The lines were flown at an average of 3400 feet above mean terrain using a pulse rate of 75,000 pulses per second. Source Type: External hard drive
      1 Report of GPS Survey Hillsborough and Little Manatee River Basin, FL 2007-02-18 Source Contribution: Ground Control. For a previous SWFWMD project (Upper Myakka) EarthData subcontracted the ground survey tasks to Kevin J. Chappell, Florida PSM License No. LS5818. Points that fell within the Hillsborough Little Manatee project area were incorporated as ground control points along with newly acquired points. The Global Positioning System (GPS) was used to establish the control network. There were a total of 41 stations occupied for this project. There were 19 new photo control stations, 11 new LIDAR control stations, 4 temporary GPS base stations, 5 existing NSRS control stations, 1 CORS station, and 1 airborne GPS base station used by the flight crew. The final network was adjusted using least squares. A free adjustment and constrained adjustment were performed. The results of the free adjustment indicate an external network accuracy of better than 3 cm in relation to NAD 1983 1999 and NAVD 1988. The results of the constrained adjustment indicate an internal network accuracy of better than 3 cm in relation to NAD 1983 1999 and NAVD 1988. Additionally, there were a total of 17 stations occupied for this project. There were 9 new LIDAR control stations for Little Manatee and 32 points for Hillsborough, and 1 CORS station, and 1 airborne GPS base station used by the flight crew. The final network was adjusted using least squares. A free adjustment and constrained adjustment were performed. The results of the free adjustment indicate an external network accuracy of better than 3 cm in relation to NAD 1983 1999 and NAVD 1988. The results of the constrained adjustment indicate an internal network accuracy of better than 3 cm in relation to NAD 1983 1999 and NAVD 1988. Eighty LiDAR QC points, broken down into four sets of urban, bare und, brush and forest were collected. A full survey control report has been provided to SWFWMD. Source Type: Paper
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      LE_ProcessStep or LI_ProcessStep

      Count Component DateTime Description
      1 2007-03-27T00:00:00 The airborne GPS data were processed and integrated with the IMU. The results were imported into the processing system for use in the LiDAR bore sight. The raw LiDAR data was downloaded onto a production server. The ground control and airport GPS base station were used in conjunction with the processed ABGPS results for the LiDAR bore sight. The properly formatted processing results were used for subsequent processing.
      1 2007-05-14T00:00:00 EarthData has developed a unique method for processing LiDAR data to identify and remove elevation points falling on vegetation, buildings, and other aboveground structures. The algorithms for filtering data were utilized within EarthData's proprietary software and commercial software written by TerraSolid. This software suite of tools provides efficient processing for small to large-scale, projects and has been incorporated into ISO 9001 compliant production work flows. The following is a step-by-step breakdown of the process. Lidar editing workflow process for 2007 SWFWMD 1.Initial Lidar classification - initial classification is performed by separating the last return points and other return points into different files. Only last return points will be used in Bare Earth editing. This step is accomplished during pre-processing phase. The First of Many and intermediate returns will be merged back with last returns after Bare Earth Editing and QC is completed for point cloud deliverables. 2. Lidar editing - the Lidar Last Return is edited to bare earth using a combination of automated and manual filtering techniques. Existing orthophotography over the project area will be used as a reference to ensure that the editor is correctly classifying points in areas that are either heavily vegetated or ambiguous in nature. Each tile will be individually edited to make sure noise and vegetation points have been reclassified properly. 3. QC of Lidar classification - immediately following Lidar Editing, QC is performed to verify that points are correctly classified. Each tile will be individually viewed and will be checked for consistent point density for each classification and land cover type. For example, consistent density in marsh areas and open fields will be verified. Each tile will be checked to make sure noise and vegetation points have been removed. Areas of heavy vegetation will be reviewed in profile to ensure redundant check. An overall QC of the entire project area will be done in blocks of tiles to ensure consistency between tiles. 4. Breaklines - photogrametrically-collected breaklines will be compiled to delineate specified features in accordance with the project scope. This is an interactive process using photogrametrically-derived stereo pairs in a 3D environment. Features typically collected would define tops and bottoms of slopes, roads, ditches, ponds, rivers and lakes. Breaklines in wetland areas will be collected with sufficient detail to ensure that hydrographic features are correctly represented to support generation of 1' contours to the 2' vertical accuracy requirement. The wetland breaklines will be collected as closed polygons and will be used in Step 8 for reclassifying wetland points. 5. QC of breaklines - breaklines will be verified in a stereo environment by senior technicians who were not involved in the compilation. Wetland boundaries will be verified using existing orthophotography and lidar hill shades color-coded by elevation. This process will be used to ensure that water conditions at time of lidar acquisition were consistent with the imagery used to compile breaklines. If there are any significant discrepancies, breaklines will be modified as necessary. 6. Streams are verified against Lidar hill shades to more accurately locate and define the path. 7. Breakline draping - following this QC step, breaklines will be draped to the lidar ground points. This will include roads but will exclude ditches. All vector data is reviewed after this process to assure that vectors have been properly assigned elevations in comparison to the lidar surface. 8. Reclassification - lidar points in wetlands and along ditches will be reclassified to Class 10. Islands in water Class 10 is a new classification not defined in the SWFWMD scope of work. 9. Final lidar QC - a TIN surface will be generated from lidar ground points and breaklines for a final QC. This step will ensure that the terrain is consistent and there are no anomalies present. 10. Formatting - the final lidar tiles will be formatted for delivery. The edited Lidar Last return points and the First of Many and Intermediate return points are merged together to complete the Point Cloud deliverable. This step will also include the restoration of header information that is removed during processing using Terrascan software. In order to restore this data and provide SWFWMD-required information, EarthData has written a program to ensure the proper data is added to the file header. 11. Deliverables - Breakline Geodatabase deliverable files are created. Contours are generated, a visual QC of contours is performed, and the geodatabase deliverable is created.
      1 2008-01-01T00:00:00 Contour Creation after the Lidar is refined to the Bare Earth surface this surface was combined with 2D photogrametrically collected and draped to the Lidar surface to establish an elevation on the breakline. The breakline location was also observed in relation to where the lidar indicated terrain breaks. In areas that were obscured, such as dense vegetation, the lidar data took precedence. As a general rule the lidar data took precedence. After the breaklines and lidar data were reconciled to each other the data was hydrologically enforced to make sure that the flow on the streams was down hill. MicroStation is then used to generate the contours. The contours are created at 1 foot with a 2 foot specification. After the contours are created they are then reviewed for accuracy and consistency. After the review is completed the contours are translated into an ESRI geodatabase for delivery.
      1 2008-04-28T00:00:00 The NOAA Coastal Services Center (CSC) received the files in LAS format. The files contained Lidar intensity and elevation measurements. The data was in Florida State Plane Projection and NAVD88 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 Florida State Plane West Zone 0902 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. 4. Vertical unit of measure converted from feet to meters.
      1 2009-07-14T00:00:00 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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