Originator: Joseph F. Terrano
Originator: Kathryn E.L. Smith
Transects with Shoreline Change Rates for the Grand Bay National Estuarine Research Reserve in Mississippi and Alabama from 1848 to 2017
Geospatial_Data_Presentation_Form: Vector Digital Dataset (Polyline)
Series_Name: U.S. Geological Survey Data Release
Publication_Place: St. Petersburg, FL
Publisher: U.S. Geological Survey
This dataset contains shoreline change rates for the Grand Bay National Estuarine Research Reserve from 1848 to 2017. Shoreline data were obtained from multiple data sources, including the U.S. Geological Survey (USGS), National Oceanic and Atmospheric Administration (NOAA), the Grand Bay National Estuarine Research Reserve(GBNERR), and the Mississippi Office of Geology (MOG). Datasets were compiled and analyzed using the R package Analyzing Moving Boundaries Using R (AMBUR) program. Rates of shoreline change can be used for evaluating living shoreline resources, decision-making for future resource planning, and restoration of both protected and open-ocean shorelines.
The purpose of these data is to examine the shoreline change rates for the Grand Bay National Estuarine Research Reserve in Mississippi and Alabama.
Currentness_Reference: ground condition
Maintenance_and_Update_Frequency: As needed
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: Shoreline data
Theme_Keyword: Shoreline map
Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: coastal processes
Theme_Keyword: aerial photography
Theme_Keyword: topographic maps
Theme_Keyword: GPS measurement
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Place_Keyword: Grand Bay National Estuarine Reserch Reserve
Place_Keyword: Gulf of Mexico
The U.S. Geological Survey requests to be acknowledged as originator of the data in future products or derivative research. Shoreline change rates are influenced by availability and accuracy of shoreline data. Analyses of highly dynamic areas are particularly challenging, including 1) areas near inlets, where there are excessively dynamic depositional/erosional sand bars that may appear/disappear rapidly, and 2) tidal creek shorelines where the vegetation/water line is not easily distinguished. Transects were modified so they crossed the shorelines in a perpendicular direction, but some small peninsulas were difficult to determine a perpendicular direction. Users of this data should examine the variables and values closely to determine if the analyses are appropriate for their intended purpose.
U.S. Geological Survey St Petersburg Coastal and Marine Science Center
Contact_Person: Joseph F. Terrano
Address: 600 4th Street South
City: St. Petersburg
Acknowledgment of the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, as a data source would be appreciated in products developed from these data, and such acknowledgment as is standard for citation and legal practices. Sharing of new data layers developed directly from these data would also be appreciated by the U.S. Geological Survey staff. Users should be aware that comparisons with other datasets for the same area from other time periods may be inaccurate due to inconsistencies resulting from changes in photointerpretation, mapping conventions, and digital processes over time. These data are not legal documents and are not to be used as such.
Environment as of Metadata Creation: Microsoft Windows 10 Version 1709 (Build 16299.431); Esri ArcGIS 10.5.1.7333
Originator: Jackson, C.W., Jr.
Title: Basic User Guide for the AMBUR package for R, version 1.0a