Dune Morphology Data for the National Assessment of Hurricane-Induced Coastal Erosion Hazards: Gulf of Mexico

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Frequently anticipated questions:

What does this data set describe?

Title:
Dune Morphology Data for the National Assessment of Hurricane-Induced Coastal Erosion Hazards: Gulf of Mexico
Abstract:
These data sets contain information on dune morphology as determine from lidar survey data. The data was used to determine coastal erosion hazards for sandy beaches along the U.S. Gulf of Mexico coastline. The analysis is based on a storm-impact scaling model that uses observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to the direct landfall of category 1-5 hurricanes. Hurricane-induced water levels, due to both surge and waves, are compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. As new beach morphology observations and storm predictions become available, this analysis will be updated to describe how coastal vulnerability to storms will vary in the future. The data presented here include the dune morphology observations, as derived from lidar surveys.
  1. How should this data set be cited?

    Doran, Kara S. , Stockdon, Hilary F. , Thompson, David S. , Sopkin, Kristin S. , Plant, Nathaniel G. , and Sallenger, Asbury H. , 20120501, Dune Morphology Data for the National Assessment of Hurricane-Induced Coastal Erosion Hazards: Gulf of Mexico:.

    Online Links:

    This is part of the following larger work.

    Hilary Stockdon, U.S. Geological Survey, 20120501, National Assessment of Hurricane-Induced Coastal Erosion Hazards: Gulf of Mexico: USGS Open File Report 2012-1084.

    Online Links:

  2. What geographic area does the data set cover?

    West_Bounding_Coordinate: -97.303963
    East_Bounding_Coordinate: -81.946792
    North_Bounding_Coordinate: 30.321706
    South_Bounding_Coordinate: 25.942596

  3. What does it look like?

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

    Calendar_Date: 01-May-2012
    Currentness_Reference: Publication date

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

    Geospatial_Data_Presentation_Form: vector digital data

  6. How does the data set represent geographic features?

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

      This is a Vector data set. It contains the following vector data types (SDTS terminology):

      • GT-polygon composed of chains (1563)

    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 8.9831528411952133e-009. Longitudes are given to the nearest 8.9831528411952133e-009. 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?

    GOM_Dune_Crest
    Elevation estimates of the dune crest calculated from available lidar data, including RMS (root mean square) error. (Source: USGS)

    FID
    Internal feature number. (Source: ESRI)

    Sequential unique whole numbers that are automatically generated.

    Shape
    Feature geometry. (Source: ESRI)

    Coordinates defining the features.

    DHIGH
    Elevation of dune crest in meters NAVD88. (Source: USGS)

    ValueDefinition
    -999Null value

    Range of values
    Minimum:0.67
    Maximum:10.19
    Units:meters NAVD88

    DHIGH_RMS
    Root mean squared error of dune crest elevation measurements (square meters). (Source: USGS)

    ValueDefinition
    -999Null value

    Range of values
    Minimum:0.00
    Maximum:17.17
    Units:square meters

    GOM_Dune_Toe
    Elevation estimates of the dune toe calculated from available lidar data, including RMS (root mean square) error. (Source: USGS)

    FID
    Internal feature number. (Source: ESRI)

    Sequential unique whole numbers that are automatically generated.

    Shape
    Feature geometry. (Source: ESRI)

    Coordinates defining the features.

    DLOW
    Elevation of the dune toe in meters NAVD88. (Source: USGS)

    ValueDefinition
    -999Null value

    Range of values
    Minimum:0.38
    Maximum:5.28
    Units:meters NAVD88

    DLOW_RMS
    Root mean square error of dune toe elevation measurements (square meters). (Source: USGS)

    ValueDefinition
    -999Nulll value

    Range of values
    Minimum:0
    Maximum:4.63
    Units:square meters

    GOM_Slope
    Estimates of dune slope calculated from available lidar data, including RMS (root mean square) error. (Source: USGS)

    FID
    Internal feature number. (Source: ESRI)

    Sequential unique whole numbers that are automatically generated.

    Shape
    Feature geometry. (Source: ESRI)

    Coordinates defining the features.

    SLOPE
    Mean beach slope (radians). (Source: USGS)

    ValueDefinition
    -999Null value

    Range of values
    Minimum:-0.11
    Maximum:0.00

    SLOPE_RMS
    Beach slope root mean square error (square radians). (Source: USGS)

    ValueDefinition
    -999Null value

    Range of values
    Minimum:0
    Maximum:1
    Units:square radians

    SL_LON
    Longitude of shoreline position (decimal degrees). (Source: USGS)

    Range of values
    Minimum:-97.37
    Maximum:-81.90
    Units:decimal degrees

    SL_LAT
    Latitude of shoreline position (decimal degrees). (Source: USGS)

    Range of values
    Minimum:25.94
    Maximum:30.40
    Units:decimal degrees

    Entity_and_Attribute_Overview:
    Three spatial data sets describing dune morphology: GOM_Dune_Crest provides details on the elevation of the dune crest; GOM_Dune_Toe povides details on the elevation of the dune toe; GOM_Slope provides details on the dune slope.
    Entity_and_Attribute_Detail_Citation:
    Stockdon, H.F., Doran, K.J., Thompson, D.M., Sopkin, K.L., Plant, N.G., and Sallenger, A.H., 2012, National assessment of hurricane-induced coastal erosion hazards—Gulf of Mexico: U.S. Geological Survey Open-File Report 2012–1084, 51 p.

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?

    Lidar data were obtained from U.S. Geological Survey, U.S. Army Corp of Engineers, and Texas Bureau of Economic Geology.

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

    U.S. Geological Survey
    Attn: Kara S. Doran
    600 4th Street South
    Saint Petersburg, FL 33701
    UNITED STATES

    727-803-8747 (voice)
    727-803-2030 (FAX)
    kdoran@usgs.gov

Why was the data set created?

Data on dune morphology that was used to determine the probability of hurricane induced erosion hazards.

How was the data set created?

  1. From what previous works were the data drawn?

    OFR 2007-1431 (source 1 of 6)
    Brock, J.C., 20080425, EAARL Topography - Padre Island National Seashore: USGS Open File Report 2007-1431.

    Online Links:

    Type_of_Source_Media: Online digital data
    Source_Contribution:
    A lidar survey that was used to estimate dune morphology variables.

    DS 560 (source 2 of 6)
    Bonisteel-Cormier, J.M., 20110128, EAARL Topography - Eastern Louisiana Barrier Islands, Post-Hurricane Gustav, 2008: First Surface: USGS Data Series 560.

    Online Links:

    Type_of_Source_Media: Online digital data
    Source_Contribution:
    A lidar survey that was used to estimate dune morphology variables.

    DS 556 (source 3 of 6)
    Bonisteel-Cormier, J.M., 20110128, EAARL Topography - Mississippi and Alabama Barrier Islands, Post-Hurricane Gustav, 2008: USGS Data Series 556.

    Online Links:

    Type_of_Source_Media: Online digital data
    Source_Contribution:
    A lidar survey that was used to estimate dune morphology variables.

    USGS-Unpub (source 4 of 6)
    U.S. Geological Survey, Unpublished data, EAARL Topography - Unpublished data.

    Type_of_Source_Media: Hard Disk
    Source_Contribution:
    Unpublished lidar surveys that were used to estimate dune morphology variables. Surveys included the dates: Mar 9th - 11th 2008, Jun 25th - 26th 2008, Se 8th 2008, Sep 17th 2008, Jun 27th - 29th 2007, and Sep 27th - Oct 2nd 2005.

    USACE CHARTS (source 5 of 6)
    U.S. Army Corp of Engineers, Unpublished data, Compact Hydrographic Airborne Rapid Total Survey (CHARTS).

    Online Links:

    Type_of_Source_Media: Online digital data
    Source_Contribution:
    Lidar surveys that were used to estimate dune morphology variables. Surveys include the dates: Nov 11th - Dec 31st, 2004 and May 28th - June 10th, 2006

    ALTM (source 6 of 6)
    Texas Bureau of Economic Geology, Unpublished data, Airborne Laser Terrain Mapper (ALTM) data.

    Online Links:

    Type_of_Source_Media: Hard disk
    Source_Contribution:
    Lidar survey that was used to estimate dune morphology variables.

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

    Date: 2011 (process 1 of 1)
    Elevation data from lidar surveys were interpolated in MATLAB to a gridded domain that was rotated parallel to the shoreline and had a resolution of 10 m in the longshore 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 and exported into ArcGIS format.

    Person who carried out this activity:

    U.S. Geological Survey
    Attn: Kara S. Doran
    600 4th Street South
    Saint Petersburg, FL 33701
    UNITED STATES

    727-803-8747 (voice)
    727-803-2030 (FAX)
    kdoran@usgs.gov

    Data sources used in this process:
    • OFR 2007-1431
    • DS 560
    • DS 556
    • USGS-Unpub
    • USACE CHARTS
    • ALTM

    Data sources produced in this process:

    • GOM_Dune_Crest
    • GOM_Dune_Toe
    • GOM_Slope

  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 has not been estimated and is dependent on the positional accuracy of the lidar data, which is estimated to be within 1 meter.

  3. How accurate are the heights or depths?

    Vertical accuracy has not been estimated and is dependent on the positional accuracy of the lidar data. Estimated accuracy of lidar surveys are +/- 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 dune morphology data used to generate predictions of hurricane-induced erosion. Elevation data from lidar surveys are not included. Predicted hurricane wave and water level predictions are not included, but can be obtained from the online report.

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

    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
    Attn: Kara S. Doran
    600 4th Street Sourth
    Saint Petersburg, FL 33701

    727-803-8747 (voice)
    727-8032030 (FAX)
    kdoran@usgs.gov

    Contact_Instructions: All of this report is available on-line.
  2. What's the catalog number I need to order this data set?

  3. What legal disclaimers am I supposed to read?

    See access and use constraints information.

  4. How can I download or order the data?

Who wrote the metadata?

Dates:
Last modified: 30-May-2012
Metadata author:
U.S. Geological Survey
Attn: Kara S. Doran
600 4th Street South
Saint Petersburg, FL 33701
UNITED STATES

727-803-8747 (voice)
727-803-2030 (FAX)
kdoran@usgs.gov

Metadata standard:
FGDC Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)

Generated by mp version 2.9.15 on Thu May 31 10:32:47 2012