Hurricane Ian Overwash Extents

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Frequently anticipated questions:

What does this data set describe?

Title: Hurricane Ian Overwash Extents
Abstract:
The Coastal Change Hazards Technical Capabilities and Applications project at the U.S. Geological Survey (USGS) provides technical capabilities in observing and forecasting storm impacts to our nation's coastlines. This geospatial dataset defines the alongshore extent of overwash sediments deposited along the coast of Florida and attributed to coastal processes during [Atlantic Basin] Hurricane Ian, which made landfall in the U.S. on September 28, 2022. Overwash extents are used to validate and improve forecasts of coastal change. See Birchler and others (2019) and Gorski and others (2024) for examples of the application of overwash extents to forecast validation.
  1. How might this data set be cited?
    Doran, Kara S., and Pardun, Joshua M., 20251203, Hurricane Ian Overwash Extents:.

    This is part of the following larger work.

    Doran, Kara S., Birchler, Justin J., and Bendik, Kirsten J., 20190813, Storm-Induced Overwash Extent: U.S. Geological Survey data release doi:10.5066/P9BW6CG6, U.S. Geological Survey, St. Petersburg, FL.

    Online Links:

  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -82.262819
    East_Bounding_Coordinate: -81.743793
    North_Bounding_Coordinate: 26.676745
    South_Bounding_Coordinate: 25.944080
  3. What does it look like?
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date: 30-Sep-2022
    Ending_Date: 01-Oct-2022
    Currentness_Reference:
    ground condition
  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):
      • String (53)
    2. What coordinate system is used to represent geographic features?
      Grid_Coordinate_System_Name: Universal Transverse Mercator
      Universal_Transverse_Mercator:
      UTM_Zone_Number: 17
      Transverse_Mercator:
      Scale_Factor_at_Central_Meridian: 0.9996
      Longitude_of_Central_Meridian: -81.0
      Latitude_of_Projection_Origin: 0.0
      False_Easting: 500000.0
      False_Northing: 0.0
      Planar coordinates are encoded using coordinate pair
      Abscissae (x-coordinates) are specified to the nearest 0.6096
      Ordinates (y-coordinates) are specified to the nearest 0.6096
      Planar coordinates are specified in meters
      The horizontal datum used is North American Datum of 1983.
      The ellipsoid used is GRS_1980.
      The semi-major axis of the ellipsoid used is 6378137.0.
      The flattening of the ellipsoid used is 1/298.257222101.
  7. How does the data set describe geographic features?
    Ian_Overwash_Extent.shp
    Attribute table of the overwash extents from the landfall of Hurricane Ian in 2022. (Source: USGS)
    FID
    Internal feature number. (Source: Esri)
    Range of values
    Minimum:0
    Maximum:53
    Shape
    Feature geometry. (Source: Esri) Coordinates defining the features.
    Shape_Leng
    Length of line segment, in meters. (Source: Esri)
    Range of values
    Minimum:6.2716
    Maximum:2360.9895
    Units:meters

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • Kara S. Doran
    • Joshua M. Pardun
  2. Who also contributed to the data set?
  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
    UNITED STATES

    727-502-8117 (voice)
    727-502-8001 (FAX)
    kdoran@usgs.gov

Why was the data set created?

To provide alongshore extents of overwash deposits caused by Hurricane Ian.

How was the data set created?

  1. From what previous works were the data drawn?
    NOAA post-storm (source 1 of 2)
    Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Geodetic Survey (NGS), Remote Sensing Division, 2022, 2022 NOAA NGS Emergency Response Imagery: Hurricane Ian: NOAA's Ocean Service, National Geodetic Survey (NGS), Silver Spring, MD.

    Online Links:

    Type_of_Source_Media: online digital data
    Source_Contribution: Post-storm imagery used to determine overwash extent.
    NOAA pre-storm (source 2 of 2)
    Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Geodetic Survey (NGS), Remote Sensing Division, 201601, Aerial Photography: NOAA Oblique Imagery: NOAA's Ocean Service, National Geodetic Survey (NGS), Silver Spring, MD.

    Online Links:

    Type_of_Source_Media: online digital data
    Source_Contribution: Pre-storm imagery used to determine whether overwash occurred.
  2. How were the data generated, processed, and modified?
    Date: 04-Apr-2023 (process 1 of 3)
    Overwash extents were manually delineated, using editing tools in ArcMap (10.8) by comparing the coastline in Florida with pre-storm and post-storm imagery from NOAA. In order to determine whether overwash had occurred in the study area, USGS staff searched for new sand deposits over roads, marshes, and vegetation using methods in Birchler and others (2019). Data sources used in this process:
    • NOAA pre-storm
    • NOAA post-storm
    Date: 12-Apr-2023 (process 2 of 3)
    Overwash extents were QA/QC'd by an independent, second researcher at the USGS using NOAA photography to determine if any features were erroneously identified as overwash, but were actually dune erosion (Birchler and others, 2019). The final dataset is a polyline shapefile (.shp) that represent the overwash extent from Hurricane Ian in September 2022. Data sources used in this process:
    • NOAA pre-storm
    • NOAA post-storm
    Data sources produced in this process:
    • Ian_Overwash_Extent.shp
    Date: 29-Oct-2024 (process 3 of 3)
    The final overwash extent shapefile file was converted to a Zipped Keyhole Markup Language file (.kmz) using tools in ArcPro (3.3.2) for use with non-proprietary software. Data sources used in this process:
    • Ian_Overwash_Extent.shp
    Data sources produced in this process:
    • Ian_Overwash_Extent.kmz
  3. What similar or related data should the user be aware of?
    Birchler, J.J., Doran, K.S., Long, J.W., and Stockdon, H.F., 2019, Hurricane Matthew: Predictions, Observations, and an Analysis of Coastal Change: U.S. Geological Survey Open-File Report doi:10.3133/ofr20191095, U.S. Geological Survey, Reston, Virginia.

    Online Links:

    Gorski, J.F., Dietrich, J.C., Passeri, D.L., Mickey, R.C., and Luettich, R.A., 20241202, Deterministic, Dynamic Model Forecasts of Storm-Driven Coastal Erosion: Natural Hazards Volume 121, Springer Nature, London, U.K..

    Online Links:

    Other_Citation_Details: Pages 6257–6283

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?
    No formal horizontal positional accuracy tests were conducted. Geographic coordinates were projected to the North American Datum of 1983 (NAD 83) Universal Transverse Mercator Zone 17 North (UTM 17N) coordinate system.
  3. How accurate are the heights or depths?
    No formal positional vertical accuracy tests were conducted. Data was not projected or referenced to a vertical coordinate system.
  4. Where are the gaps in the data? What is missing?
    This dataset is considered complete for the information presented, as described in the abstract section. Users are advised to read the rest of the metadata record carefully for additional details.
  5. How consistent are the relationships among the observations, including topology?
    Data were reviewed for quality analysis/quality control (QA/QC'd) by an independent researcher using NOAA photography.

How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?
Access_Constraints No access constraints. Please see 'Distribution Information' for details.
Use_Constraints These data are marked with a Creative Commons CC0 1.0 Universal License. These data are in the public domain and do not have any use constraints. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations.
  1. Who distributes the data set? (Distributor 1 of 1)
    U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center
    Attn: USGS SPCMSC Data Management
    600 4th Street South
    Saint Petersburg, FL

    727-502-8000 (voice)
    gs-g-spcmsc_data_inquiries@usgs.gov
  2. What's the catalog number I need to order this data set? Ian_Overwash_Extent.shp, Ian_Overwash_Extent.kmz
  3. What legal disclaimers am I supposed to read?
    Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. 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: 03-Dec-2025
Metadata author:
U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center
Attn: USGS SPCMSC Data Management
600 4th Street South
Saint Petersburg, FL
UNITED STATES

727-502-8000 (voice)
gs-g-spcmsc_data_inquiries@usgs.gov
Metadata standard:
Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)
This page is <https://cmgds.marine.usgs.gov/catalog/spcmsc/Ian_Overwash_Extent_metadata.faq.html>
Generated by mp version 2.9.51 on Wed Dec 3 11:57:42 2025