2010-2022 New Jersey and New York Beach Shoreline Change

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Frequently anticipated questions:

What does this data set describe?

Title: 2010-2022 New Jersey and New York Beach Shoreline Change
Abstract:
This dataset defines shoreline change rates for each 10-meter (m)-wide profile calculated via endpoint rate and linear regression from Himmelstoss and others (2018). Shoreline change rates were calculated for two time periods: pre-Sandy (2010-2012) and post-Sandy (2012-2022). The profiles were derived from light detection and ranging (lidar) digital elevation models (DEMs). Refer to Doran and others (2017) for more information about the source lidar data. These data support the National Fish and Wildlife Foundation (NFWF)-funded project entitled “Monitoring Hurricane Sandy Beach and Marsh Resilience in New York and New Jersey” (NFWF project ID 2300.16.055110), for which the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) is using remotely-sensed data and targeted in-situ observations to monitor the post-restoration evolution of beaches, dunes, vegetative cover, and sediment budgets at seven post-Hurricane Sandy restoration sites in New York and New Jersey.
  1. How might this data set be cited?
    Doran, Kara S., Birchler, Justin J., and Pardun, Joshua M., 20240327, 2010-2022 New Jersey and New York Beach Shoreline Change:.

    This is part of the following larger work.

    Doran, Kara S., Pardun, Joshua M., and Birchler, Justin J., 20240327, Lidar-derived Beach Volumes and Shoreline Change for New Jersey and New York: U.S. Geological Survey data release doi:10.5066/P1457WHJ, U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida.

    Online Links:

  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -75.027442
    East_Bounding_Coordinate: -71.857614
    North_Bounding_Coordinate: 41.069986
    South_Bounding_Coordinate: 38.918025
  3. What does it look like?
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date: 31-Aug-2010
    Ending_Date: 15-Nov-2022
    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):
      • Point (130401)
    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 1/298.2572235.
      Vertical_Coordinate_System_Definition:
      Altitude_System_Definition:
      Altitude_Datum_Name: North American Vertical Datum of 1988
      Altitude_Resolution: 0.0001
      Altitude_Distance_Units: meter
      Altitude_Encoding_Method: Attribute values
  7. How does the data set describe geographic features?
    NFWF_NJ_NY_ShorelineChange.csv
    Shoreline change rates (in m/yr) for New York and New Jersey for time periods pre-Hurricane Sandy (2010-2012) and post-Hurricane Sandy (2012-2022). See the accompanying data dictionary (Data dictionary for lidar.docx) for more details about the numbering system for the state, segment, and profile fields. (Source: USGS)
    state
    State segment file identification (ID) number. (Source: USGS)
    Range of values
    Minimum:15
    Maximum:16
    segment
    Segment ID number. (Source: USGS)
    Range of values
    Minimum:1
    Maximum:103
    profile
    Grid row number corresponding to a cross-shore profile location. (Source: USGS)
    Range of values
    Minimum:1
    Maximum:6690
    lon
    Feature location longitude (WGS84). (Source: USGS)
    ValueDefinition
    NaNNull value
    Range of values
    Minimum:-75.027442
    Maximum:-71.857614
    Units:decimal degrees
    lat
    Feature location latitude (WGS84). (Source: USGS)
    ValueDefinition
    NaNNull value
    Range of values
    Minimum:38.918025
    Maximum:41.069836
    Units:decimal degrees
    EPR_pre
    Pre-Sandy end point rate between 8/2010 and 10/2012 (Source: USGS)
    ValueDefinition
    NaNNull value
    Range of values
    Minimum:-70.3891
    Maximum:235.6461
    Units:meters per year
    EPR_uncy_pre
    Pre-Sandy end point rate uncertainty (Source: USGS)
    ValueDefinition
    NaNNull value
    Range of values
    Minimum:0.3679
    Maximum:49.0884
    Units:meters per year
    LRR_pre
    Pre-Sandy linear regression rate between 8/2010 and 10/2012 (Source: USGS)
    ValueDefinition
    NaNNull value
    Range of values
    Minimum:-70.3891
    Maximum:234.8421
    Units:meters per year
    LRR_uncy_pre
    Pre-Sandy linear regression rate uncertainty (Source: USGS)
    ValueDefinition
    NaNNull value
    Range of values
    Minimum:0.0008
    Maximum:123.1467
    Units:meters per year
    start_date_pre
    Pre-Sandy shoreline start date (YYYYMMDD) (Source: USGS)
    ValueDefinition
    NaNNull value
    Range of values
    Minimum:20100831
    Maximum:20101023
    end_date_pre
    Pre-Sandy shoreline end date (YYYYMMDD) (Source: USGS)
    ValueDefinition
    NaNNull value
    Range of values
    Minimum:20121026
    Maximum:20121026
    EPR_post
    Post-Sandy end point rate between 11/2012 and 11/2022 (Source: USGS)
    ValueDefinition
    NaNNull value
    Range of values
    Minimum:-475.9727
    Maximum:171.6376
    Units:meters per year
    EPR_uncy_post
    Post-Sandy end point rate uncertainty (Source: USGS)
    ValueDefinition
    NaNNull value
    Range of values
    Minimum:0.0003
    Maximum:31.7008
    Units:meters per year
    LRR_post
    Post-Sandy linear regression rate between 11/2012 and 11/2022 (Source: USGS)
    ValueDefinition
    NaNNull value
    Range of values
    Minimum:-475.9727
    Maximum:171.6376
    Units:meters per year
    LRR_uncy_post
    Post-Sandy linear regression rate uncertainty (Source: USGS)
    ValueDefinition
    NaNNull value
    Range of values
    Minimum:0.0003
    Maximum:41.3051
    Units:meters per year
    start_date_post
    Post-Sandy shoreline start date (YYYYMMDD) (Source: USGS)
    ValueDefinition
    NaNNull value
    Range of values
    Minimum:20121103
    Maximum:20200716
    end_date_post
    Post-Sandy shoreline end date (YYYYMMDD) (Source: USGS)
    ValueDefinition
    NaNNull value
    Range of values
    Minimum:20140317
    Maximum:20221115
    Entity_and_Attribute_Overview:
    The detailed attribute descriptions for the state, segment, and profile fields are included in an accompanying data dictionary (Data dictionary for lidar.docx). These metadata are not complete without this file.
    Entity_and_Attribute_Detail_Citation:
    The entity and attribute information were generated by the individual and/or agency identified as the originator of the dataset. Please review the rest of the metadata record for additional details and information.

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
    • Justin J. Birchler
    • 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 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 data on shoreline change of New Jersey and New York sandy beaches, pre- and post-Hurricane Sandy.

How was the data set created?

  1. From what previous works were the data drawn?
    Beach morphology (source 1 of 1)
    Doran, K.S., Long, J.W., Birchler, J.J., Brenner, O.T., Hardy, M.W., Morgan, K.L.M., Stockdon, H.F., and Torres, M.L., 20170805, Lidar-derived beach morphology (dune crest, dune toe, and shoreline) for U.S. sandy coastlines: U.S. Geological Survey, St. Petersburg, FL.

    Online Links:

    Type_of_Source_Media: Comma-separated values file
    Source_Contribution:
    Beach morphology variables used to compute shoreline change in New York and New Jersey.
  2. How were the data generated, processed, and modified?
    Date: 2023 (process 1 of 1)
    Mean-high-water shorelines derived from lidar DEMs within the study area (New York and New Jersey) were used to calculate shoreline change rates. Shoreline change rates were calculated for two time periods: pre-Sandy (2010-2012) and post-Sandy (2012-2022). Refer to Doran and others (2017) for more information about the source lidar data used in these calculations. Shoreline change rates and uncertainties were calculated using two methods: End Point Rate (EPR) and Linear Regression Rate (LRR) using MATLAB. For each transect, the first and last shorelines available for both time periods were used for the EPR and those dates are noted in the attribute table. For the LRR, all shorelines that had a value for cross-shore location were used, and the first and last dates of those shorelines are noted in the attribute table. Other existing shorelines in between the two time windows were also used in calculating the LRR. For more details about the methods used, see Himmelstoss and others (2018). The dataset was then converted to a comma-separated values file (.csv) for publication in this data release. Person who carried out this activity:
    U.S. Geological Survey
    Attn: Kara S. Doran
    600 4th Street South
    Saint Petersburg, FL
    UNITED STATES

    727-502-8117 (voice)
    727-502-8182 (FAX)
    kdoran@usgs.gov
    Data sources used in this process:
    • Beach morphology
    Data sources produced in this process:
    • NFWF_NJ_NY_ShorelineChange.csv
  3. What similar or related data should the user be aware of?
    Himmelstoss, E.A., Henderson, R.E., Kratzmann, M.G., and Farris, A.S, 2018, Digital Shoreline Analysis System (DSAS) Version 5.0 User Guide: U.S. Geological Survey Open-File Report 2018-1179.

    Online Links:

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 coordinates were projected to the World Geodetic System of 1984 (WGS84) coordinate system with a resolution of 10 m alongshore. Refer to Doran and others (2017) for the source beach morphology horizontal positional accuracy. Additional horizontal accuracy was not determined.
  3. How accurate are the heights or depths?
    Vertical accuracy was determined for each volume based on the scatter in the lidar dataset for each grid cell. Vertical coordinates were projected to the North American Vertical Datum of 1988 (NAVD88) coordinate system with a resolution of 15cm. Refer to Doran and others (2017) for the source beach morphology vertical positional accuracy.
  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 assessed for quality analysis/quality control (QA/QC'd) in MATLAB by visual inspection. Any gaps or anomalies in the data result from lack of data coverage or rejection during QA/QC.

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. 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, 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
  2. What's the catalog number I need to order this data set? NFWF_NJ_NY_ShorelineChange.csv
  3. What legal disclaimers am I supposed to read?
    This digital publication was prepared by an agency of the United States Government. Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, nor shall the act of distribution imply any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and (or) contained herein. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof.
  4. How can I download or order the data?

Who wrote the metadata?

Dates:
Last modified: 27-Mar-2024
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/NFWF_NJ_NY_ShorelineChange_metadata.faq.html>
Generated by mp version 2.9.51 on Wed Mar 27 13:38:10 2024