Vectorized Marsh Shorelines derived from WorldView imagery for the Grand Bay National Estuarine Research Reserve in Mississippi from 2013-2020

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Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Joseph F. Terrano
Originator: Kathryn E.L. Smith
Publication_Date: 20210723
Title:
Vectorized Marsh Shorelines derived from WorldView imagery for the Grand Bay National Estuarine Research Reserve in Mississippi from 2013-2020
Edition: 1.0
Geospatial_Data_Presentation_Form: Vector Digital Data Set (Polyline)
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 shorelines classified from WV2 and WV3 imagery. The purpose of these data is for the calculation of shoreline change for marsh shorelines of the GBNERR from 2013-2020.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20131217
Ending_Date: 20201117
Currentness_Reference: ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: As needed
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -88.482027
East_Bounding_Coordinate: -88.373059
North_Bounding_Coordinate: 30.423355
South_Bounding_Coordinate: 30.320389
Keywords:
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:6a27b1cf-2e3d-4cd3-a5c5-850261a2eccc
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_Keyword: aerial photography
Theme_Keyword: digitization
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. WorldView imagery remains the property of Maxar Technologies (Maxar, 2012) and is not published in this data release. Aerial imagery from Earth Explorer is publically avaliable and free to doenload (Earth Explorer, 2021)
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 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 for imagery please contact Maxar Technologies.
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); AMBUR package 4.0.4; ERDAS IMAGINE 2020 (version 16.6.0)
Cross_Reference:
Citation_Information:
Originator:
Hapke, C.J., Himmelstoss, E.A., Kratzmann, M.G., List, J.H. and Thieler, E.R.
Publication_Date: 2011
Title:
National assessment of shoreline change: Historical shoreline change along the New England and Mid-Atlantic coasts
Series_Information:
Series_Name: U.S. Geological Survey Open-File Report
Issue_Identification: 2010-1118
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.3133/ofr20101118
Cross_Reference:
Citation_Information:
Originator: Jackson, C.W., Jr.
Publication_Date: 2010
Title: Basic User Guide for the AMBUR package for R, version 1.0a
Publication_Information:
Publication_Place: Unknown
Publisher: Unknown
Other_Citation_Details:
User guide includes requirements for shorelines that are to be run through Analyzing Moving Boundaries Using R (AMBUR).
Online_Linkage:
http://ambur.r-forge.r-project.org/user/ambur%20basic%20user%20guide%201_0a.pdf
Cross_Reference:
Citation_Information:
Originator: Maglione, P., Parente, C. and Vallario, A.
Publication_Date: 2014
Title:
Coastline extraction using high resolution WorldView-2 satellite imagery
Publication_Information:
Publication_Place: United Kingdom
Publisher: European Journal of Remote Sensing
Other_Citation_Details: Defines an "apparent shoreline" on page 177.
Online_Linkage: https://doi.org/10.5721/EuJRS20144739
Cross_Reference:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: 2021
Title: EarthExplorer
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Repository used to acquire remotely sensed imagery (NAIP and WV). 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.
Online_Linkage: https://earthexplorer.usgs.gov/
Cross_Reference:
Citation_Information:
Originator: Maxar Technologies
Publication_Date: 2021
Title: Global Enhanced GEOINT Delivery (G-EGD)
Publication_Information:
Publication_Place: Westminster, CO
Publisher: Maxar Technologies (formerly DigitalGlobe Inc.)
Other_Citation_Details:
Commercial satellite imagery repository. For access requirements please contact Maxar Technologies.
Online_Linkage: https://evwhs.digitalglobe.com/myDigitalGlobe/login
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
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report: No formal attribute accuracy tests were conducted.
Logical_Consistency_Report:
Vector shoreline features and attributes were checked for completeness and accuracy within ArcGIS.
Completeness_Report:
Dataset is considered complete for the information presented. Some dated shorelines do not have complete coverage over the entire study area. GPS shorelines were only collected at specific sites and do not cover the entire study area. NAIP shorelines were digitized to match GPS site locations and do not represent full shorelines. WV data was subject to image availability and not all dates cover the entire study area. Users are advised to read the rest of the metadata record carefully for additional details.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
A formal accuracy assessment of the horizontal positional information in the dataset has not been conducted. Elevation and water levels were not addressed in this study. For additional information on data collection techniques see the source metadata.
Vertical_Positional_Accuracy:
Vertical_Positional_Accuracy_Report:
Several factors may influence the accuracy and uncertainty of shoreline position for vegetated shorelines, such as water level. Water level at the time of imagery collection was not taken into account when deriving shorelines. Published general uncertainty estimates for shorelines were used for all shorelines in this study based on the data source (satellite derived, aerial imagery, GPS). WV imagery classifications were checked along study area shorelines to ensure the land/water classification was correct. WV shorelines cover extensive amounts of Grand Bay and not all shorelines beyond the transects were checked for detailed accuracy. The classification also has potential variations in shoreline positions from other published data due to image interpretation differences.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: Joseph F. Terrano and Kathryn E.L. Smith
Publication_Date: 20210723
Title:
WorldView Shorelines of the Grand Bay National Estuarine Research Reserve from 2013 to 2020
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publication_Place: St Petersburg, Florida
Publisher: U.S. Geological Survey
Other_Citation_Details:
Shorelines derived from WorldView 2 and 3. Not all dates have complete study area coverage.
Online_Linkage: https://doi.org/10.5066/P9W8TNQM
Type_of_Source_Media: digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Multiple_Dates/Times:
Single_Date/Time:
Calendar_Date: 20131217
Single_Date/Time:
Calendar_Date: 20141114
Single_Date/Time:
Calendar_Date: 20141129
Single_Date/Time:
Calendar_Date: 20150503
Single_Date/Time:
Calendar_Date: 20160702
Single_Date/Time:
Calendar_Date: 20170504
Single_Date/Time:
Calendar_Date: 20170809
Single_Date/Time:
Calendar_Date: 20171230
Single_Date/Time:
Calendar_Date: 20180623
Single_Date/Time:
Calendar_Date: 20191116
Single_Date/Time:
Calendar_Date: 20201117
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: Shorelines_WV_2013_2020.shp
Source_Contribution:
Shorelines derived from WV2 and WV3 imagery and published as part of this study (https://doi.org/10.5066/P9W8TNQM).
Process_Step:
Process_Description:
Worldview 2 and WorldView 3 imagery were downloaded from EarthExplorer and Maxar’s G-EGD for dates between 2013 and 2020. A total of eleven dated images were selected that provided either complete or partially complete coverage of the study area and included at least one image from each year from 2013 to 2020. Images were radiometrically and atmospherically corrected and then pansharpened using ERDAS IMAGINE 2020 (version 16.6.0) to obtain measures of ground reflectance. The output image was reprojected into the common projection system of Universal Transverse Mercator World Geodetic System of 1984 datum (UTM zone 16N, WGS 1984). To improve comparisons between WVS and AIS, images were co-registered to high-resolution aerial imagery (NAIP) using the AutoSync-workstation in ERDAS Image pixels. First, an NAIP image mosaic was created for an extent larger than the WV image coverage. Ground control points coincident on both images were used to adjust the WV image to the corresponding location on the NAIP. Control points with an error value greater than 1 were removed. The co-registration of the WV imagery improved the spatial accuracy of the WV imagery and allowed for the direct comparison of WV and NAIP-derived shoreline data.
Source_Used_Citation_Abbreviation:
High resolution satellite imagery derived shorelines for 2013-2020.
Process_Date: 2021
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Joseph F. Terrano
Contact_Position: Researcher III
Contact_Address:
Address_Type: mailing and physical
Address: 600 4th Street South
City: St.Petersburg
State_or_Province: FL
Postal_Code: 33701
Country: USA
Contact_Voice_Telephone: 727-502-8047
Contact_Electronic_Mail_Address: jterrano@contractor.usgs.gov
Process_Step:
Process_Description:
To generate vector shorelines from WV images, we followed a similar methodology described by Maglione (2014). All WV images were classified into land-water rasters using tools within ArcGIS. First, normalized difference vegetation index (NDVI) was calculated using WV band 5 in the visible red spectrum (RED) and band 7 in the near-infrared spectrum (NIR1) using the following formula: NDVI=(NIR1−RED)/(NIR1+RED). Vegetation is classified as high values (above 0.2), water represents low values (usually less than -0.2), and soil somewhere in between -0.2 and 0.2. We discovered the value of 0.21 provided an adequate representation of the shoreline (wetland-water boundary) and use that value to reclassify the NDVI to a land-water raster. The land-water raster was processed to reduce isolated pixels by using expand-shrink procedure. The resulting image classified vegetated shorelines, however some shorelines within the study area were composed of sandy beach composed of bright, sand and shells. To improve the shoreline classification for beach shorelines, we selected a threshold using band 8 (NIR2), which showed high reflectance for the beach and urban areas (we used a value of 5000), and created a new land classification that was merged with the vegetated land class to create a binomial land-water raster.
Process_Date: 2021
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Joseph F. Terrano
Contact_Position: Researcher III
Contact_Address:
Address_Type: mailing and physical
Address: 600 4th Street South
City: St.Petersburg
State_or_Province: FL
Postal_Code: 33701
Country: USA
Contact_Voice_Telephone: 727-502-8047
Contact_Electronic_Mail_Address: jterrano@contractor.usgs.gov
Process_Step:
Process_Description:
Within ArcMap, the classification boundaries were smoothed to remove any extraneous cells missed in the expand and shrink steps. The raster was then converted into polygons and the polygons were converted into lines. The lines, however, still contained the ridged cell edges, so the lines were smoothed using the Polynomial Approximation with Exponential Kernel (PAEK) algorithm and a 2-meter smoothing filter. Shorelines not in the study area or shorelines improperly classified (such as nearshore sand shoals) were removed or edited. Shorelines were projected into the North American Datum of 1983 Universal Transverse Mercator Zone 16N (NAD83 UTM 16N).
Process_Date: 2021
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Joseph F. Terrano
Contact_Position: Researcher III
Contact_Address:
Address_Type: mailing and physical
Address: 600 4th Street South
City: St.Petersburg
State_or_Province: FL
Postal_Code: 33701
Country: USA
Contact_Voice_Telephone: 727-502-8047
Contact_Electronic_Mail_Address: jterrano@contractor.usgs.gov
Process_Step:
Process_Description:
Shorelines were compiled from all available data sources as both previously published shorelines or ones created for this study. Regardless of the data source, shorelines were edited in ArcMAP so that only the desired shorelines were included in the final dataset. Once shorelines were edited and checked, all dated shorelines were merged into a single dataset. Attributes were edited to include information regarding the date and source of the original data. Compiled shorelines were processed using the AMBUR statistical package for R (version 4.0.4) tool to add required missing attributes. AMBUR performs shoreline change analysis on vector digital shorelines. All necessary attribute fields must be present in order to run various AMBUR functions; the following fields are required for boundaries: "Id", "DATE_", "ACCURACY", "SHORE_LOC", "CLASS_1", "CLASS_2", "CLASS_3", and "GROUP". In order to determine if all the required fields were present in the merged boundary datasets, an AMBUR sub-routine (ambur.check) was used to check all shoreline shapefiles for missing attribute fields. For more information about the AMBUR shoreline requirements see the AMBUR user manual (Jackson, 2010). Some fields created by AMBUR ("SHORE_LOC", "CLASS_1", "CLASS_2", "CLASS_3", and "GROUP") are required and have null values as placeholders, thus they should not be used for any other analysis ourtide of AMBUR. Null fields were left in the results as they are required by AMBUR and are needed to replicate our study. Users are advised to review the data to determine if it is suitable for their studies.
Process_Date: 2021
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Joseph F. Terrano
Contact_Position: Researcher III
Contact_Address:
Address_Type: mailing and physical
Address: 600 4th Street South
City: St.Petersburg
State_or_Province: FL
Postal_Code: 33701
Country: USA
Contact_Voice_Telephone: 727-502-8047
Contact_Electronic_Mail_Address: jterrano@contractor.usgs.gov
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Vector
Point_and_Vector_Object_Information:
SDTS_Terms_Description:
SDTS_Point_and_Vector_Object_Type: String
Point_and_Vector_Object_Count: 2693
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Grid_Coordinate_System:
Grid_Coordinate_System_Name: Universal Transverse Mercator
Universal_Transverse_Mercator:
UTM_Zone_Number: 16
Transverse_Mercator:
Scale_Factor_at_Central_Meridian: 0.9996
Longitude_of_Central_Meridian: -87.0
Latitude_of_Projection_Origin: 0.0
False_Easting: 500000.0
False_Northing: 0.0
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:
Abscissa_Resolution: 0.6096
Ordinate_Resolution: 0.6096
Planar_Distance_Units: Meter
Geodetic_Model:
Horizontal_Datum_Name: D_North_American_1983
Ellipsoid_Name: GRS_1980
Semi-major_Axis: 6378137.0
Denominator_of_Flattening_Ratio: 298.257222101
Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: Shorelines_WV_2013_2020.shp
Entity_Type_Definition:
Attribute table containing attribute information associated with the 2013 to 2020 Grand Bay, MS vectorized marsh shorelines.
Entity_Type_Definition_Source: USGS
Attribute:
Attribute_Label: Date_
Attribute_Definition:
Date imagery was collected for the Mississippi and Alabama coast using the "MM/DD/YYYY HH:MM:SS" format. Additional information can be found in the "Year" field. The HH:MM:SS was set at 3:00:00 PM for all shorelines as a general placeholder.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 12/17/2013 3:00:00PM
Range_Domain_Maximum: 11/17/2020 3:00:00PM
Attribute:
Attribute_Label: Year
Attribute_Definition: 4-digit year in which the imagery was collected.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 2013
Range_Domain_Maximum: 2020
Attribute_Units_of_Measure: Year
Attribute:
Attribute_Label: Accuracy
Attribute_Definition:
A value representing the shoreline position uncertainty associated with the imagery type which was used in the shoreline change statistical computations reported by Hapke and others (2011). See the cross reference section of this metadata for more information. As stated above, several factors may influence the accuracy and uncertainty of shoreline position for vegetated shorelines, such as water level. Water level at the time of imagery collection is largely unknown for most historical imagery, therefore USGS staff cannot account for shoreline positional errors associated with water level. Published uncertainty estimates in Hapke and others (2011) are for sandy shorelines but were used for these shorelines. These values should be regarded as less conservative than errors that may account for uncertainty in digitization of vegetated shorelines from aerial imagery.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 3.2
Enumerated_Domain_Value_Definition: Uncertainty of the shoreline position in meters.
Enumerated_Domain_Value_Definition_Source: USGS
Attribute:
Attribute_Label: Source
Attribute_Definition: An identifier for the source of the vector shoreline data.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: Earth Explorer
Enumerated_Domain_Value_Definition: Imagery downloaded from Earth Explorer.
Enumerated_Domain_Value_Definition_Source: USGS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: Maxar Technologies
Enumerated_Domain_Value_Definition: Imagery downloaded from Maxar Technologies.
Enumerated_Domain_Value_Definition_Source: USGS
Attribute:
Attribute_Label: Orig_Name
Attribute_Definition: The original name of the downloaded image file.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Unrepresentable_Domain:
A text string detailing the date and time the WorldView images were collected in the WV#YYYYMMDDhhmmss format. "#" represents the WorldView sensor number, "YYYY" represents the 4-digit year, "MM" represents the 2-digit year, "DD" represents the 2-digit year, "hh" represents the 2-digit hour, "mm" represents the 2-digit minute, and "ss" represents the 2-digit second.
Attribute:
Attribute_Label: Download
Attribute_Definition: The web link for the imagery download.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Unrepresentable_Domain: A text string describing the web address of the imagery.
Attribute:
Attribute_Label: Notes
Attribute_Definition: Any data documentation notes.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Unrepresentable_Domain: A text string describing the notation.
Attribute:
Attribute_Label: Shape_Leng
Attribute_Definition:
System-generated attribute field, which was automatically created by ArcGIS to indicate the feature length.
Attribute_Definition_Source: ESRI
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 5.139035
Range_Domain_Maximum: 152081.222182
Attribute_Units_of_Measure: Meters
Attribute:
Attribute_Label: Id
Attribute_Definition: Automatically generated number from AMBUR program.
Attribute_Definition_Source: AMBUR
Attribute_Domain_Values:
Unrepresentable_Domain:
Sequential, unique whole numbers that are automatically generated by AMBUR. Attribute is required by AMBUR program.
Attribute:
Attribute_Label: Type
Attribute_Definition: An identifier for the source of the vector shoreline data.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: WorldView
Enumerated_Domain_Value_Definition: Shorelines were derived from WorldView imagery.
Enumerated_Domain_Value_Definition_Source: USGS
Overview_Description:
Entity_and_Attribute_Overview:
The entity and attribute information provided here describes the tabular data associated with the dataset. Please review the detailed descriptions that are provided (the individual attribute descriptions) for information on the values that appear as fields/table entries of the dataset.
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. For details on AMBUR fields and analysis requirements, see Jackson (2010).
Distribution_Information:
Distributor:
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
Resource_Description: Shorelines_WV_2013_2020.shp
Distribution_Liability:
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.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: Shapefile
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name:
https://coastal.er.usgs.gov/data-release/doi-P9W8TNQM/data/Shorelines_WV_2013_2020.zip
Fees: None. No fees are applicable for obtaining the dataset.
Metadata_Reference_Information:
Metadata_Date: 20210721
Metadata_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
Metadata_Standard_Name: Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: local time
This page is <https://cmgds.marine.usgs.gov/catalog/spcmsc/Shorelines_WV_2013_2020_metadata.html>
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