Shorelines of the Florida west coast (FLwc) coastal region used in shoreline change analysis

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Frequently anticipated questions:


What does this data set describe?

Title:
Shorelines of the Florida west coast (FLwc) coastal region used in shoreline change analysis
Abstract:
During Hurricane Irma in September 2017, Florida and Georgia experienced significant impacts to beaches, dunes, barrier islands, and coral reefs. Extensive erosion and coral losses result in increased immediate and long-term hazards to shorelines that include densely populated regions. These hazards put critical infrastructure at risk to future flooding and erosion and may cause economic losses. The U.S. Geological Survey (USGS) Coastal and Marine Hazards Resources Program (CMHRP) is assessing hurricane-induced coastal erosion along the southeast US coastline and implications for vulnerability to future storms.
Supplemental_Information:
Cross-referenced citations are applicable to the dataset as a whole. Additional citations are located within individual process steps that pertain specifically to the method described in that step.
  1. How might this data set be cited?
    U.S. Geological Survey, 20210929, Shorelines of the Florida west coast (FLwc) coastal region used in shoreline change analysis: data release DOI:10.5066/P9J3CVN4, U.S. Geological Survey, Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center, Woods Hole, MA.

    Online Links:

    This is part of the following larger work.

    Kratzmann, Meredith G., Farris, Amy S., Weber, Kathy M., Henderson, Rachel E., and Himmelstoss, Emily A., 2021, USGS National Shoreline Change: A GIS compilation of Updated Vector Shorelines (1800s - 2010s) and Associated Shoreline Change Data for the Georgia and Florida Coasts: data release DOI:10.5066/P9J3CVN4, U.S. Geological Survey, Reston, VA.

    Online Links:

    Other_Citation_Details:
    suggested citation: Kratzmann, M.G., Farris, A.S., Weber, K.M., Henderson, R.E., and Himmelstoss, E.A., 2021, USGS National Shoreline Change: A GIS compilation of Updated Vector Shorelines (1800s - 2010s) and Associated Shoreline Change Data for the Georgia and Florida Coasts: U.S. Geological Survey data release, https://doi.org/10.5066/P9J3CVN4
  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -82.852570
    East_Bounding_Coordinate: -81.682230
    North_Bounding_Coordinate: 28.215572
    South_Bounding_Coordinate: 25.847017
  3. What does it look like?
    https://www.sciencebase.gov/catalog/file/get/614a7c8fd34e0df5fb9756e1?name=BG_FLwc_shorelines.jpg (jpg)
    Map view of data
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date:
    Ending_Date: 2017
    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 (1450)
    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 0.0197395052. Longitudes are given to the nearest 0.0264490611. Latitude and longitude values are specified in Decimal seconds. The horizontal datum used is WGS_1984.
      The ellipsoid used is WGS_84.
      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?
    FLwc_shorelines
    Shorelines for Florida west coast (FLwc) used in shoreline change analysis. (Source: U.S. Geological Survey)
    FID
    Internal feature number. (Source: Esri) Sequential unique whole numbers that are automatically generated.
    Shape
    Feature geometry. (Source: Esri) Coordinates defining the features.
    DATE_
    Date of shoreline position; date of survey as indicated on source material. A default date of 07/01 was assigned to shorelines where only the year was known (month and day unknown). Using July, the mid-point month of the calendar year, minimizes the potential offset to the actual shoreline date by a maximum of six months. (Source: U.S. Geological Survey) Date of the shoreline in mm/dd/yyyy
    Uncy
    Estimate of shoreline position uncertainty. Actual shoreline position is within the range of this value (plus or minus, meters). The historic shoreline uncertainty values incorporate measurement uncertainties associated with mapping methods and materials for historical shorelines, the geographic registration of shoreline position, and shoreline digitizing. (Source: U.S. Geological Survey)
    Range of values
    Minimum:0.65
    Maximum:10.8
    Source
    Agency that provided shoreline feature or the data source used to digitize shoreline feature. (Source: U.S. Geological Survey) Character string of length 25
    Source_b
    Type of data used to create shoreline. (Source: U.S. Geological Survey)
    ValueDefinition
    lidarLight detection and ranging (lidar).
    T or TP with numberNOAA/NOS topographic survey sheet (T- or TP-sheet) with associated registry number.
    aerials (or Photo rev., unknown) with letters and numbers and/or yearFLDEP aerial photo with associated registry information.
    Year_
    Four digit year of shoreline (Source: U.S. Geological Survey)
    Range of values
    Minimum:1858
    Maximum:2017
    Default_D
    Differentiates between shorelines that have known month and day attributes and those that use the default value of 07/01 when only the year is known. (Source: U.S. Geological Survey)
    ValueDefinition
    0Shoreline month and day are known.
    1Shoreline month and day are unknown and default value of 07/01 was used.
    Location
    Location of shoreline with respect to wave energy exposure. An open ocean coast is directly exposed to ocean waves and is typically characterized by higher wave energy. A sheltered coast is not directly exposed to ocean waves and is characterized by lower wave energy. This shoreline dataset includes only open ocean locations. (Source: U.S. Geological Survey)
    ValueDefinition
    open oceanShoreline on a coast with open ocean wave exposure.
    Shape_Leng
    Length of shoreline in meter units (UTM zone 17N WGS84). (Source: U.S. Geological Survey, Woods Hole Science Center)
    Range of values
    Minimum:2.159136
    Maximum:26533.604388
    DSAS_type
    Shoreline type field used to specify the datum to which the shoreline is referenced. It is a required field when proxy-based and datum-based shorelines are combined to compute rates in DSAS. (Source: U.S. Geological Survey)
    ValueDefinition
    MHWMean High Water (datum-based shoreline).
    HWLHigh Water Line (proxy-based shoreline).
    ATTRIBUTE
    Additional notation regarding source of shoreline data. (Source: U.S. Geological Survey) Character string of length 50
    Entity_and_Attribute_Overview:
    The entity and attribute information provided here describes the tabular data associated with the dataset. Please review the individual attribute descriptions for detailed information.
    Entity_and_Attribute_Detail_Citation: U.S. Geological Survey

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • U.S. Geological Survey
  2. Who also contributed to the data set?
  3. To whom should users address questions about the data?
    U.S. Geological Survey
    Attn: Meredith G. Kratzmann
    384 Woods Hole Road
    Woods Hole, MA
    USA

    508-548-8700 (voice)
    508-457-2310 (FAX)
    mkratzmann@contractor.usgs.gov

Why was the data set created?

Shoreline positions were compiled prior to and following Hurricane Irma along the sandy shorelines of the Gulf of Mexico and Atlantic coasts of Florida and the coast of Georgia. Shoreline positions from the mid-1800s through 2018 were used to update the shoreline change rates for Florida and Georgia using the Digital Shoreline Analysis System (DSAS) software. The shoreline positions and updated shoreline change rates provide actionable information to homeowners, coastal communities, and managers of public and private properties to improve resiliency for long-term hazards.
Georgia (GA): The Georgia dataset includes shorelines from 161 years ranging from 1855 to 2016. Shorelines were compiled from topographic survey sheets (T-sheets; National Oceanic and Atmospheric Administration (NOAA)) and lidar (USGS/NOAA/National Aeronautics and Space Administration (NASA), NOAA/U.S. Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP)/Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX)).
Florida east coast (FLec): border with GA to Key Biscayne The FLec dataset includes shorelines from 166 years ranging from 1851 to 2017. Shorelines were compiled from topographic survey sheets (T-sheets; NOAA, NOAA/Florida Department of Environmental Protection (FLDEP)), aerial photographs (FLDEP/USGS), and lidar data (USGS/NASA, USACE/Federal Emergency Management Agency (FEMA), NOAA/USACE NCMP).
Florida west coast (FLwc): Anclote Key to Barefoot Beach The FLwc dataset includes shorelines from 159 years ranging from 1858 to 2017. Shorelines were compiled from topographic survey sheets (T-sheets; NOAA, NOAA/FLDEP), aerial photographs (FLDEP/USGS), and lidar data (USGS/NASA, USACE/FEMA, NOAA/USACE NCMP).
Florida panhandle (FLph): Bald Point State Park to the Alabama border The FLph dataset includes shorelines from 163 years ranging from 1855 to 2018. Shorelines were compiled from topographic survey sheets (T-sheets; NOAA, NOAA/FLDEP), aerial photographs (FLDEP), and lidar data (USGS/NASA, USACE/FEMA, NOAA/USACE NCMP).
Historical shoreline positions serve as easily understood features that can be used to describe the movement of beaches through time. These data are used to calculate rates of shoreline change in support of the U.S. Geological Survey's Coastal Change Hazards programmatic focus to maintain a national scale database of shoreline positions and rates. Long-term and short-term shoreline change rates were generated in a GIS using the Digital Shoreline Analysis System (DSAS) version 5. DSAS uses a measurement baseline method to calculate rate-of-change statistics. Transects are cast from the reference baseline to intersect each shoreline, establishing measurement points used to calculate shoreline change rates.

How was the data set created?

  1. From what previous works were the data drawn?
    T-sheet shorelines (source 1 of 15)
    National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Unknown, Scanned National Ocean Service (NOS) Coastal Survey Maps (also known as Topographic Survey sheets, or T-sheets).

    Online Links:

    Type_of_Source_Media: digital data
    Source_Contribution:
    T-sheets used for QA/QC of NOAA-digitized 1800s-1980s shorelines and/or used as data source to digitize shorelines.
    1998 gulf coast lidar (source 2 of 15)
    National Oceanic and Atmospheric Administration (NOAA), U.S. Geological Survey (USGS), 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: digital data
    Source_Contribution: Lidar data that were used to extract a shoreline.
    1999 east coast lidar (source 3 of 15)
    National Oceanic and Atmospheric Administration (NOAA), U.S. Geological Survey (USGS), National Aeronautics and Space Administration (NASA), 20000101, Fall 1999 East Coast NOAA/USGS/NASA Airborne LiDAR Assessment of Coastal Erosion (ALACE) Project for the US Coastline.

    Online Links:

    Type_of_Source_Media: digital data
    Source_Contribution: Lidar data that were used to extract a shoreline.
    2001 gulf coast lidar (source 4 of 15)
    U.S. Geological Survey (USGS), National Aeronautics and Space Administration (NASA), 2009, 2001 USGS/NASA Airborne Topographic Mapper (ATM) Lidar: Coastal Alabama, Florida, Louisiana, Mississippi, Texas.

    Online Links:

    Type_of_Source_Media: digital data
    Source_Contribution: Lidar data that were used to extract a shoreline.
    2006 east coast lidar (source 5 of 15)
    U.S. Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP)/Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX), 20061114, 2006 US Army Corps of Engineers (USACE) East Coast Topo/Bathy Mapping Project for Florida, Georgia and South Carolina.

    Online Links:

    Type_of_Source_Media: digital data
    Source_Contribution: Lidar data that were used to extract a shoreline.
    2009 FL Atlantic Coast lidar (source 6 of 15)
    U.S. Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP)/Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX), 2018, 2009 USACE NCMP Topobathy Lidar: Florida Atlantic Coast.

    Online Links:

    Type_of_Source_Media: digital data
    Source_Contribution: Lidar data that were used to extract a shoreline.
    2010 Southeast coast lidar (source 7 of 15)
    U.S. Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP)/Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX), 2017, 2010 US Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX) Southeast Lidar: Florida, Georgia, South Carolina, North Carolina.

    Online Links:

    Type_of_Source_Media: digital data
    Source_Contribution: Lidar data that were used to extract a shoreline.
    2010 FL Gulf coast lidar (source 8 of 15)
    U.S. Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP)/Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX), 2018, 2010 USACE NCMP Topobathy Lidar: Florida Gulf Coast.

    Online Links:

    Type_of_Source_Media: digital data
    Source_Contribution: Lidar data that were used to extract a shoreline.
    2010 AL/FL Gulf coast lidar (source 9 of 15)
    U.S. Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP)/Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX), 201109, 2010 US Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX) Topobathy Lidar: Alabama Coast and Florida Gulf Coast.

    Online Links:

    Type_of_Source_Media: digital data
    Source_Contribution: Lidar data that were used to extract a shoreline.
    2015 FL Gulf coast lidar (source 10 of 15)
    U.S. Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP)/Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX), 20161215, 2015 USACE NCMP Topobathy Lidar: Florida Gulf Coast.

    Online Links:

    Type_of_Source_Media: digital data
    Source_Contribution: Lidar data that were used to extract a shoreline.
    2016 Southeast coast lidar (source 11 of 15)
    U.S. Army Corps of Engineers (USACE)/Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX), 20170215, 2016 USACE Post-Matthew Topobathy Lidar: Southeast Coast (VA, NC, SC, GA and FL).

    Online Links:

    Type_of_Source_Media: digital data
    Source_Contribution: Lidar data that were used to extract a shoreline.
    2016 FL east coast lidar (source 12 of 15)
    U.S. Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP)/Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX), 20161215, 2016 USACE NCMP Topobathy Lidar: Florida East Coast.

    Online Links:

    Type_of_Source_Media: digital data
    Source_Contribution: Lidar data that were used to extract a shoreline.
    2016 Gulf coast lidar (source 13 of 15)
    U.S. Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP)/Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX), 20170913, 2016 USACE NCMP Topobathy Lidar: Gulf Coast (AL, FL, MS, TX).

    Online Links:

    Type_of_Source_Media: digital data
    Source_Contribution: Lidar data that were used to extract a shoreline.
    2017 FL east coast lidar (source 14 of 15)
    U.S. Army Corps of Engineers (USACE), Federal Emergency Management Agency (FEMA), 20171002, 2017 USACE FEMA Topobathy Lidar: Florida East Coast, Florida Keys, and Collier County (Post Hurricane Irma).

    Online Links:

    Type_of_Source_Media: digital data
    Source_Contribution: Lidar data that were used to extract a shoreline.
    2018 FL panhandle lidar (source 15 of 15)
    U.S. Army Corps of Engineers (USACE), Federal Emergency Management Agency (FEMA), 20181108, 2018 USACE FEMA Post-Michael Topobathy Lidar: Florida Panhandle.

    Online Links:

    Type_of_Source_Media: digital data
    Source_Contribution: Lidar data that were used to extract a shoreline.
  2. How were the data generated, processed, and modified?
    Date: 2019 (process 1 of 8)
    Data from the previously-published National Assessment of Shoreline Change study for the sandy shorelines of the Gulf of Mexico and Southeast Atlantic Coasts (USGS Open-File Report 2004-1089 and USGS Open-File Report 2005-1326) as well as the update reports (doi:10.5066/F74X55X7 and doi:10.5066/F78P5XNK, both in 2017) were used as the starting point for this update which includes several new lidar shorelines for Georgia and Florida. The previously published lidar shorelines are from 1998, 1999, and 2001. Person who carried out this activity:
    U.S. Geological Survey
    Attn: Meredith Kratzmann
    384 Woods Hole Road
    Woods Hole, MA

    508-548-8700 (voice)
    508-457-2310 (FAX)
    mkratzmann@contractor.usgs.gov
    Data sources used in this process:
    • T-sheet shorelines
    • 1998 gulf coast lidar
    • 1999 east coast lidar
    • 2001 gulf coast lidar
    Date: 2020 (process 2 of 8)
    A profile method was used to extract the operational MHW shoreline from the lidar point cloud data utilizing the Matlab-based approach (Matlab version 2019b) described in Farris and others (2018). Elevation values for the height of MHW were obtained from Weber and others (2005). The profile method used a coast-following reference line with 20-meter spaced profiles. All lidar data points that were within 1 meter of each profile line were associated with that profile. All processing was done on the 2-meter-wide profiles, working on a single profile at a time. For each profile, a linear regression was fit through data points on the foreshore and the regression was evaluated at the MHW elevation to yield the cross-shore position of the MHW shoreline. If there was a data gap at MHW or if the MHW elevation was obscured by water points, the linear regression was simply extrapolated to the MHW elevation. For each profile, the foreshore beach slope was defined as the slope of the regression line. Each MHW shoreline point that was extracted using this profile method has an uncertainty associated with it. This uncertainty includes three components: 1) the 95% confidence interval on the linear regression estimate of the shoreline position; 2) a 15 cm vertical error in the raw lidar data that was converted into a horizontal error using the beach slope; and 3) the uncertainty due to extrapolation (if the shoreline was determined using extrapolation). These three components of uncertainty were added in quadrature to yield a total error for each shoreline point. Farris, A.S., Weber, K.M., Doran, K.S., and List, J.H., 2018, Comparing methods used by the U.S. Geological Survey Coastal and Marine Geology Program for deriving shoreline position from lidar data: U.S. Geological Survey Open-File Report 2018–1121, 13 p., https://doi.org/10.3133/ofr20181121 Weber, K.M., List, J.H., Morgan, K.L.M., 2005, An Operational Mean High Water Datum for Determination of Shoreline Position from Topographic Lidar Data: U.S. Geological Survey Open-File Report 2005–1027, https://doi.org/10.3133/ofr20051027 Lidar shorelines were extracted by Amy Farris, Kathy Weber, Zehao Xue, and Marie Bartlett of the USGS from 2015 through 2020 using the method described in this step. Person who carried out this activity:
    U.S. Geological Survey
    Attn: Amy Farris
    384 Woods Hole Road
    Woods Hole, MA

    508-548-8700 x2344 (voice)
    508-457-2310 (FAX)
    afarris@usgs.gov
    Data sources used in this process:
    • 2006 east coast lidar
    • 2009 FL Atlantic Coast lidar
    • 2010 Southeast coast lidar
    • 2010 FL Gulf coast lidar
    • 2010 AL/FL Gulf coast lidar
    • 2015 FL Gulf coast lidar
    • 2016 Southeast coast lidar
    • 2016 FL east coast lidar
    • 2016 Gulf coast lidar
    • 2017 FL east coast lidar
    • 2018 FL panhandle lidar
    Data sources produced in this process:
    • GA 2006 lidar shoreline
    • FLec 2006 lidar shoreline
    • FLec 2009 lidar shoreline
    • GA 2010 lidar shoreline
    • FLec 2010 lidar shoreline
    • FLwc 2010 lidar shoreline
    • FLph 2010 lidar shoreline
    • FLwc 2015 lidar shoreline
    • FLph 2015 lidar shoreline
    • GA 2016 lidar shoreline
    • FLec 2016 lidar shoreline
    • FLph 2016 lidar shoreline
    • FLec 2017 lidar shoreline
    • FLph 2018 lidar shoreline
    Date: 2020 (process 3 of 8)
    The lidar shoreline shapefiles were then visually checked against imagery contained in Esri's World_Imagery GIS server to make sure the shoreline was not interpolated through a headland or structure, for example. Attribute fields were added (based on DSAS requirements described in the DSAS v5 User Guide) to the attribute table and those fields were populated with the relevant information. This process step and all other process steps were performed by the same person - Meredith Kratzmann. Person who carried out this activity:
    U.S. Geological Survey
    Attn: Meredith Kratzmann
    384 Woods Hole Road
    Woods Hole, MA

    508-548-8700 (voice)
    508-457-2310 (FAX)
    mkratzmann@contractor.usgs.gov
    Date: 2020 (process 4 of 8)
    Historical (1800s-1980s) and previously published lidar shorelines (1998/2001, 1999) were merged with the new lidar shorelines (2006-2018) in ArcToolbox v10.7 > Data Management Tools > General > Merge to produce a single shoreline file for each region.
    Date: 2020 (process 5 of 8)
    The shorelines file was imported into a personal geodatabase in ArcCatalog v10.7 by right-clicking on the geodatabase > Import (feature class) for use in the DSAS v5 software to perform rate calculations.
    Date: 2020 (process 6 of 8)
    The shoreline feature class was exported from the personal geodatabase back to a shapefile in ArcCatalog v10.7 by right-clicking on the shoreline file > Export > To Shapefile (single) for publication purposes.
    Date: 2021 (process 7 of 8)
    The data were projected in ArcToolbox v10.7 > Data Management Tools > Projections and Transformations > Project. Parameters: input projection = UTM zone 17N (WGS84); output projection = geographic coordinates (WGS84); transformation = none.
    Date: 27-Apr-2022 (process 8 of 8)
    Updated the cross-reference information with regards to the related Data Report (20220427). The metadata available from a harvester may supersede metadata bundled with the dataset. Compare the metadata dates to determine which metadata file is most recent. Person who carried out this activity:
    U.S. Geological Survey
    Attn: VeeAnn A. Cross
    384 Woods Hole Road
    Woods Hole, MA
    USA

    (508) 548-8700 x2251 (voice)
    508-457-2310 (FAX)
    vatnipp@usgs.gov
  3. What similar or related data should the user be aware of?
    Kratzmann, Meredith G., 2022, U.S. Geological Survey National Shoreline Change: Summary Statistics for Updated Vector Shorelines (1800s - 2010s) and Associated Shoreline Change Data for the Georgia and Florida Coasts: Data Report 1156, U.S. Geological Survey, Reston, VA.

    Online Links:

    Other_Citation_Details:
    Data Report associated with this data release: Kratzmann, M.G., Farris, A.S., Weber, K.M., Henderson, R.E., and Himmelstoss, E.A., 2021, USGS national shoreline change-A GIS compilation of updated vector shorelines (1800s - 2010s) and associated shoreline change data for the Georgia and Florida Coasts: U.S. Geological Survey data release, https://doi.org/10.5066/P9J3CVN4.
    Himmelstoss, Emily A., Farris, Amy S., Henderson, Rachel E., Kratzmann, Meredith G., Ergul, Ayhan, Zhang, Ouya, and Zichichi, Jessica L., 2018, Digital Shoreline Analysis System (version 5): U.S. Geological Survey Software: software release version 5, U.S. Geological Survey, Reston, VA.

    Online Links:

    Other_Citation_Details: Current version of software at time of use was 5.1
    Himmelstoss, Emily A., Henderson, Rachel E., Kratzmann, Meredith G., and Farris, Amy S., 2018, Digital Shoreline Analysis System (DSAS) Version 5.0 User Guide: Open-File Report 20181179, U.S. Geological Survey, Reston, VA.

    Online Links:

    Himmelstoss, Emily, Kratzmann, Meredith, and Thieler, E. Robert, 2017, National Assessment of Shoreline Change: A GIS compilation of Updated Vector Shorelines and Associated Shoreline Change Data for the Southeast Atlantic Coast: Data release doi:10.5066/F74X55X7, U.S. Geological Survey, Reston, VA.

    Online Links:

    Himmelstoss, Emily, Kratzmann, Meredith, and Thieler, E. Robert, 2017, National Assessment of Shoreline Change: A GIS compilation of Updated Vector Shorelines and Associated Shoreline Change Data for the Gulf of Mexico Coast: Data release doi:10.5066/F78P5XNK, U.S. Geological Survey, Reston, VA.

    Online Links:

    Himmelstoss, Emily, Kratzmann, Meredith, and Thieler, E. Robert, 2017, National assessment of shoreline change — Summary statistics for updated vector shorelines and associated shoreline change data for the Gulf of Mexico and Southeast Atlantic coasts: Open-File Report 2017-1015, U.S. Geological Survey, Reston, VA.

    Online Links:

    Morton, Robert A., and Miller, Tara L., 2005, National Assessment of Shoreline Change: Part 2 Historical Shoreline Changes and Associated Coastal Land Loss along the U.S. Southeast Atlantic Coast: Open-File Report 2005-1401, U.S. Geological Survey, Reston, VA.

    Online Links:

    Miller, Tara L., Morton, Robert A., and Sallenger, Asbury H., 2005, The National Assessment of Shoreline Change: A GIS Compilation of Vector Shorelines and Associated Shoreline Change Data for the U.S. Southeast Atlantic Coast: Open-File Report 2005-1326, U.S. Geological Survey, Reston, VA.

    Online Links:

    Morton, Robert A., Miller, Tara L., and Moore, Laura J., 2004, National Assessment of Shoreline Change: Part 1 Historical Shoreline Changes and Associated Coastal Land Loss along the U.S. Gulf of Mexico: Open-File Report 2004-1043, U.S. Geological Survey, Reston, VA.

    Online Links:

    Miller, Tara L., Morton, Robert A., Sallenger, Asbury H., and Moore, Laura J., 2004, The National Assessment of Shoreline Change: A GIS Compilation of Vector Shorelines and Associated Shoreline Change Data for the U.S. Gulf of Mexico: Open-File Report 2004-1089, U.S. Geological Survey, Reston, VA.

    Online Links:

    Ruggiero, Peter, and List, Jeffrey H., 200909, Improving Accuracy and Statistical Reliability of Shoreline Position and Change Rate Estimates: Journal of Coastal Research vol. 255, Coastal Education and Research Foundation, n/a.

    Online Links:

    Other_Citation_Details: pp. 1069-1081
    Farris, Amy S., Weber, Kathryn M., Doran, Kara S., and List, Jeffrey H., 2018, Comparing methods used by the U.S. Geological Survey Coastal and Marine Geology Program for deriving shoreline position from lidar data: Open-File Report 2018–1121, U.S. Geological Survey, Reston, VA.

    Online Links:

    National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Unknown, Scanned National Ocean Service (NOS) Coastal Survey Maps (also known as Topographic Survey sheets, or T-sheets): NOAA shoreline manuscripts (T-sheets) n/a, National Oceanic and Atmospheric Administration, Washington, D.C..

    Online Links:

    Weber, Kathryn M., List, Jeffrey H., and Morgan, Karen L.M., 2005, An operational mean high water datum for determination of shoreline position from topographic lidar data: Open-File Report 2005-1027, U.S. Geological Survey, Reston, VA.

    Online Links:


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

  1. How well have the observations been checked?
    The data provided here are a compilation of shorelines from multiple sources, spanning >150 years. The attributes are based on the requirements of the Digital Shoreline Analysis System (DSAS) software and have gone through a series of quality assurance procedures.
  2. How accurate are the geographic locations?
    The horizontal accuracy of the shoreline data varies with respect to the data source from which the shorelines were digitized, the lidar data from which the shorelines were extracted, and the time period. Georgia and Florida: Shorelines prior to 1960 (T-sheets) have an estimated positional uncertainty of plus or minus 10.8 meters. Shorelines from the 1960s-1980s (T-sheets) have an estimated positional uncertainty of plus or minus 5.1 meters. Shorelines from the 1950s-1970s (FLDEP, air photos) have an estimated positional uncertainty of plus or minus 3.2 meters. See below for average estimated uncertainty values for shorelines extracted from lidar. All lidar shorelines new to the FL/GA dataset have uncertainty recorded on a segment-by-segment basis in the attribute table (i.e., all except 1998/2001 and 1999 which are from data releases doi:10.5066/F74X55X7 and doi:10.5066/F78P5XNK, 2017). See the Uncy field in the shoreline attribute table for individual values. GEORGIA (GA; average estimated positional uncertainty of lidar shorelines): 1999 = plus or minus 4.4 meters 2006 = plus or minus 3.2 meters 2010 = plus or minus 4.2 meters 2016 = plus or minus 5.5 meters FLORIDA EAST COAST (FLec; average estimated positional uncertainty of lidar shorelines): 1999 = plus or minus 2.8 meters 2006 = plus or minus 1.9 meters 2009 = plus or minus 1.8 meters 2010 = plus or minus 2.7 meters 2016 = plus or minus 2.8 meters 2017 = plus or minus 2.9 meters FLORIDA WEST COAST (FLwc; average estimated positional uncertainty of lidar shorelines): 1998 = plus or minus 1.7 meters 2010 = plus or minus 2.2 meters 2015 = plus or minus 2.0 meters 2017 = plus or minus 2.2 meters FLORIDA PANHANDLE (FLph; average estimated positional uncertainty of lidar shorelines): 1998/2001 = plus or minus 1.4 meters 2010 = plus or minus 2.6 meters 2015 = plus or minus 1.7 meters 2016 = plus or minus 1.0 meters 2018 = plus or minus 2.7 meters
  3. How accurate are the heights or depths?
  4. Where are the gaps in the data? What is missing?
    This shoreline file is complete and contains all shoreline segments used to calculate shoreline change rates along sections of the Florida west coast (FLwc) coastal region where shoreline position data were available. These data adequately represented the shoreline position at the time of the survey. Remaining gaps in these data, if applicable, are a consequence of non-existing data or existing data that did not meet quality assurance standards. The digitized shoreline vectors downloaded from NOAA included attributes defining the shoreline type (attribute field name varies by file). For the open-ocean coasts, only shoreline features (Natural.Mean High Water; SPOR; 20) were retained. Other shoreline features (such as seawalls, bulkheads, manmade objects) were deleted.
  5. How consistent are the relationships among the observations, including topology?
    Adjacent shoreline segments do not overlap and are not necessarily continuous. Shorelines were quality checked for accuracy. Any slight offsets between adjacent segments due to georeferencing and digitizing error are taken into account in the uncertainty of the shoreline position, as reported in the horizontal accuracy section of this metadata file.

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 Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey as the originator of the dataset. These data are not to be used for navigation.
  1. Who distributes the data set? (Distributor 1 of 1)
    U.S. Geological Survey - ScienceBase
    Federal Center, Building 810, MS 302
    Denver, CO
    USA

    1-888-275-8747 (voice)
    sciencebase@usgs.gov
  2. What's the catalog number I need to order this data set? The dataset contains polyline shorelines (SHP and other shapefile components), browse graphic, and the FGDC CSDGM metadata.
  3. What legal disclaimers am I supposed to read?
    Neither the U.S. Government, the Department of the Interior, nor the USGS, nor any of their employees, contractors, or subcontractors, make any warranty, express or implied, nor assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, nor represent that its use would not infringe on privately owned rights. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the USGS in the use of these data or related materials. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), and 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 for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. The USGS or the U.S. Government shall not be held liable for improper or incorrect use of the data described and/or contained herein. Any use of trade, product, or firm 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?
  5. What hardware or software do I need in order to use the data set?
    These data are available in a polyline shapefile format. The user must have software to read and process the data components of a shapefile.

Who wrote the metadata?

Dates:
Last modified: 27-Apr-2022
Metadata author:
Meredith G. Kratzmann
U.S. Geological Survey
384 Woods Hole Road
Woods Hole, MA
USA

508-548-8700 (voice)
508-457-2310 (FAX)
mkratzmann@contractor.usgs.gov
Metadata standard:
FGDC Content Standards for Digital Geospatial Metadata (FGDC-STD-001-1998)

This page is <https://cmgds.marine.usgs.gov/catalog/whcmsc/SB_data_release/DR_P9J3CVN4/FLwc_shorelines_metadata.faq.html>
Generated by mp version 2.9.51 on Mon May 9 16:13:23 2022