North Carolina, Pamlico Sound Area, High-resolution Bathymetry

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Frequently-anticipated questions:


What does this data set describe?

Title: North Carolina, Pamlico Sound Area, High-resolution Bathymetry
Abstract:
The Neuse River Estuary in North Carolina is a broad, V-shaped water body located on the southwestern end of Pamlico Sound. This estuary suffers from severe eutrophication for which several water quality models have recently been developed to aid in the management of nutrient loading to the estuary. In an effort to help constrain model estimates of the fraction of nutrients delivered by direct ground-water discharge, continuous resistivity profile (CRP) measurements were made during the spring of 2004 and 2005. CRP is used to measure electrical resistivity of sediments, a property that is sensitive to difference in salinity of submarine ground water. The 2004 and 2005 surveys used floating resistivity streamers of 100 m and 50 m respectively. The depth penetration of the streamers is approximately 20% of the streamer length which translates to approximately 20-25 m with the 100 m streamer and 12-14 m with the 50 m streamer. These data were processed using AGI's EarthImager 2D software. CRP data enables the mapping of the extent and depth of the fresher ground water within the estuary.
  1. How should this data set be cited?

    Service, NOAA-National Ocean , 1998, North Carolina, Pamlico Sound Area, High-resolution Bathymetry: NOAA-National Ocean Service, Silver Spring, MD.

    Online Links:

    This is part of the following larger work.

    Cross, VeeAnn A. , Bratton, John F. , Bergeron, Emile, Meunier, Jeff K. , Crusius, John, and Koopmans, Dirk, 2005, Continuous Resistivity Profiling Data from the Upper Neuse River Estuary, North Carolina, 2004-2005: Open-File Report 2005-1306, U.S. Geological Survey, Coastal and Marine Geology Program, Woods Hole Science Center, Woods Hole, MA.

    Online Links:

  2. What geographic area does the data set cover?

    West_Bounding_Coordinate: -77.098977
    East_Bounding_Coordinate: -75.464240
    North_Bounding_Coordinate: 35.857169
    South_Bounding_Coordinate: 34.694360

  3. What does it look like?

  4. Does the data set describe conditions during a particular time period?

    Calendar_Date: 1998
    Currentness_Reference: publication date

  5. What is the general form of this data set?

    Geospatial_Data_Presentation_Form: raster digital data

  6. How does the data set represent geographic features?

    1. How are geographic features stored in the data set?

      This is a Raster data set. It contains the following raster data types:

      • Dimensions 4237 x 4902 x 1, type Grid Cell

    2. What coordinate system is used to represent geographic features?

      Grid_Coordinate_System_Name: Universal Transverse Mercator
      Universal_Transverse_Mercator:
      UTM_Zone_Number: 18
      Transverse_Mercator:
      Scale_Factor_at_Central_Meridian: 0.999600
      Longitude_of_Central_Meridian: -75.000000
      Latitude_of_Projection_Origin: 0.000000
      False_Easting: 500000.000000
      False_Northing: 0.000000

      Planar coordinates are encoded using row and column
      Abscissae (x-coordinates) are specified to the nearest 30.000000
      Ordinates (y-coordinates) are specified to the nearest 30.000000
      Planar coordinates are specified in meters

      The horizontal datum used is North American Datum of 1983.
      The ellipsoid used is Geodetic Reference System 80.
      The semi-major axis of the ellipsoid used is 6378137.000000.
      The flattening of the ellipsoid used is 1/298.257222.

  7. How does the data set describe geographic features?


Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)

  2. Who also contributed to the data set?

    This dataset was acquired from the NOAA NOS Estuarine Bathymetry website: <http://spo.nos.noaa.gov:16080/bathy/>.

  3. To whom should users address questions about the data?

    Peter L. Grose
    NOAA-NOS-Special Projects Office
    1305 East West Hwy
    Silver Spring, MD 20910-3278
    USA

    (301) 713-3000 (voice)
    (301) 713-4384 (FAX)
    peter.grose@noaa.gov


Why was the data set created?

To provide high resolution bathymetry for the Pamlico Sound area in North Carolina.


How was the data set created?

  1. From what previous works were the data drawn?

    (source 1 of 1)
    NOAA National Ocean Service, 2000, Estuarine Bathymetry: National Oceanic and Atmospheric Administration, Silver Spring, MD.

    Online Links:

    Other_Citation_Details: website
    Type_of_Source_Media: website
    Source_Contribution:
    A thorough metadata file generalized for the generic bathymetric digital elevation model is available from the website. What follows is the text supplied on the NOAA website regarding these data: The high resolution bathymetric data are gridded to 30m cells defined on a UTM projection where the locations of the value for each cell are at coordinates in UTM meter units evenly divisible by 30. The origin of these units is 500,000 meters west of the central meridian for the UTM projection and the equator. It should be noted that these UTM grids do NOT align with geographic parallels and meridians which define the extents of these DEM data sets. These 30m gridded data are equivalently referred to as UTM, 7.5 minute, or 30m data. In this context these terms are interchangeable.

    Null values (encoded -32767 within the DEMs) are used to represent all locations either above (outside) the local high water datum (the shoreline as defined by the National Ocean Service) or outside the extents of the estuary as delineated by the CAF.

    Bathymetric elevations within these data sets are referenced to the local tidal datum which typically is Mean Lowest Low Water (MLLW) averaged over a 19 year tidal epoch. Elevations above this datum (between the datum and the shoreline) have positive values (meters to centimeter resolution) while those below are negative. Note that this datum is different from that used by USGS for land elevation data that it distributes in DEM form which are referenced to Mean Sea Level (MSL).

  2. How were the data generated, processed, and modified?

    (process 1 of 3)
    The high-resolution bathymetric data file for the Pamlico Sound area was downloaded form the website and uncompressed.

    Data sources used in this process:

    • S020_B30.zip

    Data sources produced in this process:

    • S020_35076C3_BIG.dem

    (process 2 of 3)
    The resulting DEM file was imported using ArcGIS 9.0. The conversion tool from ArcToolbox "Dem to raster" was used to create a floating point grid.

    Data sources used in this process:

    • S020_35076C3_BIG.dem

    Data sources produced in this process:

    • demtora_s0201

    (process 3 of 3)
    The floating point grid was reprojected from the NAD27 datum to the NAD83 datum, maintaining its UTM projection specification.

    Data sources used in this process:

    • demtora_s0201

    Data sources produced in this process:

    • neuse_bathy

  3. What similar or related data should the user be aware of?


How reliable are the data; what problems remain in the data set?

  1. How well have the observations been checked?

    The accuracy of a DEM is dependent upon the level of detail of the source soundings and the grid spacing used to sample that source. The primary limiting factor for the level of detail of the source is the scale of the source survey, the technology used to collect soundings, and the resolution of the source soundings. Additional complications is describing accuracy are the ages of the surveys used to collect sounding in a given area. Care was used to use the most recent surveys covering a given area but in some instances adjacent surveys may be decades apart in age. In some regions, the only source data were at fathom (6 feet) resolution. In general, most source surveys were certified to one foot or better by the National Ocean Service.

  2. How accurate are the geographic locations?

    The horizontal accuracy of the DEM is expressed as an estimated root mean square error (RMSE). The estimate of the RMSE is based upon horizontal accuracy tests of the source soundings used to generate the DEM. As a first approximation the locational accuracy of the source soundings are 0.0015 m at source "Smooth Sheet" scale (120 m @ 1:80,000 to 15 m @ 1:10,000). Smooth Sheets are maps generated as a principle product of each (historic) hydrographic survey with fully corrected soundings plotted on them.

  3. How accurate are the heights or depths?

    The vertical RMSE statistic is used to describe the vertical accuracy of a DEM. It encompasses both random and systematic errors introduced during production of the data. The RMSE is encoded in element number 5 of record C of the DEM. This accuracy estimate includes components related to quantization of the source soundings (1.3 to 0.15 m), the systematic editing of the source data (1% or 0.10m), un-sampled bathymetric features (estimated at less than 5% of depth), time related changes (erosion, deposition, and seismic shifts), and dredging operations (cut and fill).

    It is estimated that the accuracy of the Bathymetric DEMs is 2% of depth or 1 meter for depths grater than 20 meters and 2 % of depth or 0.20 meters for depths shallower than 20 meters.

    THESE DEMs SHOULD NOT BE USED FOR NAVIGATION.

    There are three types of DEM vertical errors: blunder, systematic, and random. These errors are reduced in magnitude by editing but cannot be completely eliminated. Blunders are errors of major proportions and are easily identified and removed during interactive editing. Systematic errors follow some fixed pattern and are introduced by data collection procedures and systems. Systematic error artifacts include vertical unsampled elevation shifts, relative spacing of the source soundings, misinterpretation of terrain surface caused by softness or poor reflectivity and by the resolution of the collected soundings (feet, feet & fractions, fathoms, fathoms & fractions, meters, tenths of meters etc.). Random errors result from unknown or accidental causes. The 1 degree (DSQ) DEMs are generated from 30 m grids on UTM projection. The rms difference between these surfaces is an estimate of the vertical accuracy of the DSQ DEMs.

  4. Where are the gaps in the data? What is missing?

  5. How consistent are the relationships among the observations, including topology?


How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?

Access_Constraints: None.
Use_Constraints: These data should not be used for navigation purposes.

  1. Who distributes the data set? (Distributor 1 of 1)

    VeeAnn A. Cross
    U.S. Geological Survey
    Marine Geologist
    384 Woods Hole Rd.
    Woods Hole, MA 02543-1598

    (508) 548-8700 x2251 (voice)
    (508) 457-2310 (FAX)
    vatnipp@usgs.gov

  2. What's the catalog number I need to order this data set?

    Downloadable Data

  3. What legal disclaimers am I supposed to read?

  4. How can I download or order the data?


Who wrote the metadata?

Dates:
Last modified: 05-Dec-2005
Metadata author:
VeeAnn A. Cross
U.S. Geological Survey
Marine Geologist
384 Woods Hole Rd.
Woods Hole, MA 02543-1598

(508) 548-8700 x2251 (voice)
(508) 457-2310 (FAX)
vatnipp@usgs.gov

Metadata standard:
FGDC Content Standards for Digital Geospatial Metadata (FGDC-STD-001-1998)
Metadata extensions used:


Generated by mp version 2.8.6 on Mon Dec 05 13:45:42 2005