National Assessment of Hurricane-Induced Coastal Erosion Hazards: Gulf of Mexico Bradenton Beach to Clearwater Beach, Florida Mean (interpolated) Beach Slope Point Data

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Frequently anticipated questions:

What does this data set describe?

Title:
National Assessment of Hurricane-Induced Coastal Erosion Hazards: Gulf of Mexico Bradenton Beach to Clearwater Beach, Florida Mean (interpolated) Beach Slope Point Data
Abstract:
The National Assessment of Coastal Change Hazards project derives beach morphology features from lidar elevation data for the purpose of understanding and predicting storm impacts to our nation's coastlines. This dataset defines mean beach slopes along the United States Southeast Gulf of Mexico from Bradenton Beach to Clearwater Beach, Florida for data collected at various times between 1998 and 2010.
Supplemental_Information:
The USGS Saint Petersburg Coastal and Marine Science Center (SPCMSC) - St. Petersburg, Fla., assigns a unique identifier (called a Field Activity Number, or FAN) to each cruise or field activity. The following FANs are associated with this activity: 98LTS05, 04CNT01, 04CNT05, 07CNT01, 06CNT03, and 10CNT08.
  1. How might this data set be cited?
    Overbeck, Jacquelyn R., and Doran, Kara S., 20150425, National Assessment of Hurricane-Induced Coastal Erosion Hazards: Gulf of Mexico Bradenton Beach to Clearwater Beach, Florida Mean (interpolated) Beach Slope Point Data: U.S. Geological Survey Data Release doi:10.5066/F7XK8CK2, U.S. Geological Survey, St. Petersburg, FL.

    Online Links:

  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -82.851917
    East_Bounding_Coordinate: -82.689569
    North_Bounding_Coordinate: 28.048860
    South_Bounding_Coordinate: 27.440349
  3. What does it look like?
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date: 29-Oct-1998
    Ending_Date: 22-Jul-2010
    Currentness_Reference:
    Ground condition
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: tabular digital data
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
      This is a Point data set. It contains the following vector data types (SDTS terminology):
      • Entity Point (384)
    2. What coordinate system is used to represent geographic features?
      Horizontal positions are specified in geographic coordinates, that is, latitude and longitude. Latitudes are given to the nearest 0.0197843295. Longitudes are given to the nearest 0.0229959585. Latitude and longitude values are specified in Decimal Degrees. The horizontal datum used is D WGS 1984.
      The ellipsoid used is WGS 1984.
      The semi-major axis of the ellipsoid used is 6378137.0.
      The flattening of the ellipsoid used is 1/298.257223563.
  7. How does the data set describe geographic features?
    GFL_Mean_Slopes.txt
    Lidar-derived beach slope. Measured as the endpoint slope between the locations of dune toe and Mean High Water elevation. Values of -999 represent "no data" values. (Source: USGS)
    Longitude
    Longitude of interpolated shoreline position in decimal degrees. (Source: USGS)
    Range of values
    Minimum:-82.851917
    Maximum:-82.689569
    Units:Decimal Degrees
    Latitude
    Latitude of interpolated shoreline position in decimal degrees. (Source: USGS)
    Range of values
    Minimum:27.440349
    Maximum:28.04886
    Units:Decimal Degrees
    slope
    Mean of beach slopes. (Source: USGS)
    Range of values
    Minimum:0.006141
    Maximum:0.089543
    Units:Radians
    mean_res_err
    Mean residual error. (Source: USGS)
    Range of values
    Minimum:0.000426
    Maximum:0.041954
    Units:Radians
    95_confidence
    95 percent confidence interval, equal to 2*mean_res_err. (Source: USGS)
    Range of values
    Minimum:0.000851
    Maximum:0.083908
    Units:Radians

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • Jacquelyn R. Overbeck
    • Kara S. Doran
  2. Who also contributed to the data set?
  3. To whom should users address questions about the data?
    U.S. Geological Survey
    Attn: Jacquelyn R. Overbeck
    600 4th Street South
    Saint Petersburg, FL
    UNITED STATES

    727-502-8104 (voice)
    727-502-8001 (FAX)
    joverbeck@usgs.gov

Why was the data set created?

To provide mean slope data between the endpoint locations of the Mean High Water and seaward-most dune toe elevations, interpolated to a 200 m alongshore resolution using a 400 m wide Hanning window. This dataset, GFL_Mean_Slopes.txt and others associated with this project can be accessed online at https://doi.org/10.5066/F7XK8CK2.

How was the data set created?

  1. From what previous works were the data drawn?
    NOAA98 (source 1 of 6)
    Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office for Coastal Management (OCM), United States Geological Survey (USGS), and National Aeronautics and Space Administration (NASA), 20000101, 1998 Fall Gulf Coast NOAA/USGS/NASA Airborne Lidar Assessment of Coastal Erosion (ALACE) Project for the US Coastline.

    Online Links:

    Type_of_Source_Media: Online digital data
    Source_Contribution:
    Lidar-derived elevation data collected by this source was used to estimate dune morphology variables.
    USACE04a (source 2 of 6)
    Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX), 20141114, 2004 US Army Corps of Engineers (USACE) Topo/Bathy Lidar: Alabama, Florida, Mississippi and North Carolina.

    Online Links:

    Type_of_Source_Media: Online digital data
    Source_Contribution:
    Lidar-derived elevation data collected by this source was used to estimate dune morphology variables.
    USACE04b (source 3 of 6)
    Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX), 20141114, 2004 US Army Corps of Engineers (USACE) Post-Hurricane Ivan Topo/Bathy Lidar: Alabama, Florida.

    Online Links:

    Type_of_Source_Media: Online digital data
    Source_Contribution:
    Lidar-derived elevation data collected by this source was used to estimate dune morphology variables.
    USACE06 (source 4 of 6)
    Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX), 20141114, 2006 United States Army Corps of Engineers (USACE) Post Hurricane Wilma Lidar: Hurricane Pass to Big Hickory Pass, FL.

    Online Links:

    Type_of_Source_Media: Online digital data
    Source_Contribution:
    Lidar-derived elevation data collected by this source was used to estimate dune morphology variables.
    FDEM07 (source 5 of 6)
    Florida Division of Emergency Management (FDEM), and Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office for Coastal Management (OCM), 20141209, 2007 Florida Division of Emergency Management (FDEM) Lidar Project: Southwest Florida.

    Online Links:

    Type_of_Source_Media: Online digital data
    Source_Contribution:
    Lidar-derived elevation data collected by this source was used to estimate dune morphology variables.
    USACE10 (source 6 of 6)
    Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office for Coastal Management (OCM), and Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX), 20141114, 2010 US Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX) Lidar: Gulf Coast of Florida.

    Online Links:

    Type_of_Source_Media: Online digital data
    Source_Contribution:
    Lidar-derived elevation data collected by this source was used to estimate dune morphology variables.
  2. How were the data generated, processed, and modified?
    Date: 30-Mar-2015 (process 1 of 3)
    For dune morphology data: Elevation data from lidar surveys were interpolated in MATLAB R2014b to a gridded domain that was rotated parallel to the shoreline and had a resolution of 10 m in the alongshore direction and 2.5 m in the cross-shore direction. The interpolation method applies spatial filtering with a Hanning window that is twice as wide as the grid resolution. Dune morphology data are extracted from the elevation grid in MATLAB. Beach slopes were extracted from endpoint locations of the Mean High Water and dune toe elevations. The beach slopes were temporally averaged then interpolated to 200 m alongshore resolution by filtering with a 400 m wide Hanning window. More details on the methodology can be found in the USGS Open-File Report, "A method for determining average beach slope and beach slope variability for U.S. sandy coastlines", available at http://pubs.usgs.gov/of/2015/1053
    Date: 24-Jan-2017 (process 2 of 3)
    Keywords section of metadata optimized for discovery in USGS Coastal and Marine Geology Data Catalog. Person who carried out this activity:
    U.S. Geological Survey
    Attn: Alan O. Allwardt
    Contractor -- Information Specialist
    2885 Mission Street
    Santa Cruz, CA

    831-460-7551 (voice)
    831-427-4748 (FAX)
    aallwardt@usgs.gov
    Date: 13-Oct-2020 (process 3 of 3)
    Added keywords section with USGS persistent identifier as theme keyword. Person who carried out this activity:
    U.S. Geological Survey
    Attn: VeeAnn A. Cross
    Marine Geologist
    384 Woods Hole Road
    Woods Hole, MA

    508-548-8700 x2251 (voice)
    508-457-2310 (FAX)
    vatnipp@usgs.gov
  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?
  2. How accurate are the geographic locations?
    Horizontal accuracy was not estimated.
  3. How accurate are the heights or depths?
    Vertical accuracy for beach and dune morphology (dune crest and toe elevation) data is dependent on the positional accuracy of the lidar data. Estimated accuracy of lidar surveys is +/- 15 centimeters. However, vertical accuracies may vary based on the type of terrain (for example, inaccuracies may increase as slope increases or with the presence of extremely dense vegetation) and the accuracy of the GPS and aircraft-attitude measurements.
  4. Where are the gaps in the data? What is missing?
    These data include beach and dune morphology in the form of mean beach slopes.
  5. How consistent are the relationships among the observations, including topology?
    Data gaps exist where there are no sandy shorelines (such as over inlets, marshes, or rocky coasts). For each 400-meter window width, data will be given a null value if greater than 50% of points are missing. For inlets narrower than the 400 m window, only slopes associated with the data on either side of the inlet were computed. No additional checks for consistency were performed on this data.

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:
The U.S. Geological Survey requests to be acknowledged as originators of the data in future products or derivative research.
  1. Who distributes the data set? (Distributor 1 of 1)
    U.S. Geological Survey (USGS)
    Attn: Jacquelyn R. Overbeck
    600 4th Street South
    Saint Petersburg, FL

    727-502-8104 (voice)
    727-502-8001 (FAX)
    joverbeck@usgs.gov
  2. What's the catalog number I need to order this data set?
  3. What legal disclaimers am I supposed to read?
    Although these data have been processed successfully on a computer system at the USGS, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The USGS shall not be held liable for improper or incorrect use of the data described and/or contained herein. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
  4. How can I download or order the data?

Who wrote the metadata?

Dates:
Last modified: 13-Oct-2020
Metadata author:
U.S. Geological Survey (USGS)
Attn: Jacquelyn R. Overbeck
600 4th Street South
Saint Petersburg, FL
UNITED STATES

727-502-8104 (voice)
727-502-8001 (FAX)
joverbeck@usgs.gov
Metadata standard:
FGDC Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)
This page is <https://cmgds.marine.usgs.gov/catalog/spcmsc/GFL_Mean_Slopes_metadata.faq.html>
Generated by mp version 2.9.50 on Tue Sep 21 18:18:49 2021