Citation:
Citation_Information:
Originator: Joseph F. Terrano
Originator: Kathryn E.L. Smith
Originator: Jonathan L. Pitchford
Originator: Michael Archer
Publication_Date: 20210723
Title:
Site description and associated GPS data collected at eleven study sites within the Grand Bay National Estuarine Research Reserve in Mississippi
Edition: 1.0
Geospatial_Data_Presentation_Form: comma separated value (CSV) file
Larger_Work_Citation:
Citation_Information:
Originator: Joseph F. Terrano
Originator: Kathryn E.L. Smith
Originator: Jonathan L. Pitchford
Originator: Michael Archer
Originator: Michael Brochard
Publication_Date: 20210723
Title:
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_Information:
Series_Name: U.S. Geological Survey data release
Issue_Identification: doi:10.5066/P9W8TNQM
Publication_Information:
Publication_Place: St. Petersburg, Florida
Publisher:
U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center
Online_Linkage: https://doi.org/10.5066/P9W8TNQM
Description:
Abstract:
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).
Purpose:
This dataset contains GPS points and site description information for the eleven study sites in Grand Bay, Mississippi using a transect based method.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20210525
Ending_Date: 20210526
Currentness_Reference: ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: As needed
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -88.465774
East_Bounding_Coordinate: -88.392792
North_Bounding_Coordinate: 30.429459
South_Bounding_Coordinate: 30.326066
Keywords:
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:32960261-8513-4145-a952-4ab4da559203
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: shoreline data
Theme_Keyword: shoreline map
Theme_Keyword: global positioning system
Theme:
Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: coastal processes
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: oceans
Theme_Keyword: environment
Theme_Keyword: boundaries
Theme_Keyword: geoscientificInformation
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Grand Bay National Estuarine Research Reserve
Place_Keyword: Gulf of Mexico
Place_Keyword: USA
Place_Keyword: Mississippi
Place_Keyword: MS
Access_Constraints: None
Use_Constraints:
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.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:
U.S. Geological Survey St Petersburg Coastal and Marine Science Center
Contact_Person: Joseph F. Terrano
Contact_Position: Researcher III
Contact_Address:
Address_Type: Mailing
Address: 600 4th Street South
City: St. Petersburg
State_or_Province: FL
Postal_Code: 33701
Contact_Voice_Telephone: 727-502-8047
Contact_Facsimile_Telephone: 727-502-8182
Contact_Electronic_Mail_Address: jterrano@contractor.usgs.gov
Data_Set_Credit:
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 collection and user interpretation, mapping conventions, and digital processes over time. These data are not legal documents and are not to be used as such.
Native_Data_Set_Environment:
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); Microsoft Excel 356 Version 2008 (Build 13127.21704)
Cross_Reference:
Citation_Information:
Originator: Smith, K.E.L., Terrano, J.F., Pitchford, J.L., Archer, M.
Publication_Date: 2021
Title:
Coastal wetland shoreline change monitoring: A comparison of shorelines from high-resolution WorldView satellite imagery, aerial imagery, and field surveys
Series_Information:
Series_Name:
Special Issue; New Insights into Ecosystem Monitoring Using Geospatial Techniques
Issue_Identification: Unknown
Publication_Information:
Publication_Place: Basel, Switzerland
Publisher: MDPI; Remote Sensing
Other_Citation_Details:
Associated journal article with additional methodology, data analysis, and results.
Online_Linkage: Unknown