Originator: Joseph F. Terrano
Originator: Kathryn E.L. Smith
Transects with net change results for GPS and Worldview shorelines for the Grand Bay National Estuarine Research Reserve in Mississippi from 2013-2020
Geospatial_Data_Presentation_Form: Vector Digital Data Set (Polyline)
Originator: Joseph F. Terrano
Originator: Kathryn E.L. Smith
Originator: Jonathan L. Pitchford
Originator: Michael Archer
Originator: Michael Brochard
Shorelines from High-resolution WorldView Satellite Imagery, Real-time Kinematic Global Positioning Data, and Aerial Imagery for 2013 to 2020 for Study Sites Within Grand Bay National Estuarine Research Reserve, Mississippi
Series_Name: U.S. Geological Survey data release
Publication_Place: St. Petersburg, Florida
U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center
Shoreline change analysis is an important environmental monitoring tool for evaluating coastal exposure to erosion hazards, particularly for vulnerable habitats such as coastal wetlands where habitat loss is problematic world-wide. The increasing availability of high-resolution satellite imagery and emerging developments in analysis techniques support the implementation of these data into coastal management, including shoreline monitoring and change analysis. Geospatial shoreline data were created from a semi-automated methodology using WorldView (WV) satellite data between 2013 and 2020. The data were compared to contemporaneous field-surveyed Real-time Kinematic (RTK) Global Positioning System (GPS) data collected by the Grand Bay National Estuarine Research Reserve (GBNERR) and digitized shorelines from U.S. Department of Agriculture National Agriculture Imagery Program (NAIP) orthophotos. Field data for shoreline monitoring sites was also collected to aid interpretation of results. This data release contains digital vector shorelines, shoreline change calculations for all three remote sensing data sets, and field surveyed data. The data will aid managers and decision-makers in the adoption of high-resolution satellite imagery into shoreline monitoring activities, which will increase the spatial scale of shoreline change monitoring, provide rapid response to evaluate impacts of coastal erosion, and reduce cost of labor-intensive practices. For further information regarding data collection and/or processing methods, refer to the associated journal article (Smith and others, 2021).
This dataset contains transects with net shoreline change calculations for GPS and WorldView shorelines. The purpose of these data is for the calculation of shoreline change for marsh shorelines of the GBNERR from 2013-2020.
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: global positioning system
Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: coastal processes
Theme_Keyword: aerial photography
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Place_Keyword: Grand Bay National Estuarine Research 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. This metadata record should be reviewed in its entirety to ensure specific data are suitable for other studies. WorldView imagery remains the property of Maxar Technologies and is not published in this data release (Maxar, 2021). Aerial imagery from Earth Explorer is publically avaliable and free to download (Earth Explorer, 2021). 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.
Contact_Position: Researcher III
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. For access and pricing of imagery please contact Maxar Technologies.
Environment as of Metadata Creation: Microsoft Windows 10 Version 1909 (Build 18363.1441); Esri ArcGIS 10.5.1 (Build 7333) Service Pack N/A (Build N/A); AMBUR version 4.0.4
Originator: Jackson, C.W., Jr.
Title: Basic User Guide for the AMBUR package for R, version 1.0a.
User guide includes requirements for shorelines that are to be run through Analyzing moving Boundaries Using R (AMBUR)
Originator: Maglione, P., Parente, C. and Vallario, A.
Coastline extraction using high resolution WorldView-2 satellite imagery
Publication_Place: United Kingdom
Other_Citation_Details: Defines an "apparent shoreline" on page 177.
Publisher: European Journal of Remote Sensing
Originator: U.S. Geological Survey
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Repository used to acquire remotely sensed imagery. Commercial satellite imagery (such as WV) is only available to qualified Federal users at no cost and must contact the USGS Earth Resources Observation & Science Center (EROS) for requirements.
Originator: Maxar Technologies
Title: Global Enhanced GEOINT Delivery (G-EGD)
Publication_Place: Westminster, CO
Publisher: Maxar Technologies (formerly DigitalGlobe Inc.)
Commercial satellite imagery repository. For access requirements please contact Maxar Technologies.
Originator: Smith, K.E.L., Terrano, J.F., Pitchford, J.L., Archer, M.
Coastal wetland shoreline change monitoring: A comparison of shorelines from high-resolution WorldView satellite imagery, aerial imagery, and field surveys
Special Issue; New Insights into Ecosystem Monitoring Using Geospatial Techniques
Publication_Place: Basel, Switzerland
Publisher: MDPI; Remote Sensing
Associated journal article with additional methodology, data analysis, and results.