Vectorized marsh shorelines derived from high resolution aerial imagery for the Grand Bay National Estuarine Research Reserve in Mississippi from 2014-2020

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Metadata:

Identification_Information
Data_Quality_Information
Spatial_Data_Organization_Information
Spatial_Reference_Information
Entity_and_Attribute_Information
Distribution_Information
Metadata_Reference_Information

Identification_Information:

Citation:

Citation_Information:

Originator: Joseph F. Terrano
Originator: Kathryn E.L. Smith
Publication_Date: 20210723
Title:

Vectorized marsh shorelines derived from high resolution aerial imagery for the Grand Bay National Estuarine Research Reserve in Mississippi from 2014-2020

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 digitized from NAIP 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: 20141015
Ending_Date: 20200616

Currentness_Reference: ground condition

Status:

Progress: Complete
Maintenance_and_Update_Frequency: As needed

Spatial_Domain:

Bounding_Coordinates:

West_Bounding_Coordinate: -88.466546
East_Bounding_Coordinate: -88.391946
North_Bounding_Coordinate: 30.387813
South_Bounding_Coordinate: 30.325087

Keywords:

Theme:

Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:51a175dc-197f-4a12-a120-5acc5ac699a7

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. Aerial imagery was downloaded from the USGS Earth Explorer website and is not published in this data release. Aerial imagery through Earth Explorer is publicly available and free to download (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.

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 Version 4.0.4

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: 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

Cross_Reference:

Citation_Information:

Originator: U.S. Geological Survey
Publication_Date: 2021
Title: Earth Explorer
Publication_Information:

Publication_Place: Reston, VA
Publisher: U.S. Geological Survey

Other_Citation_Details:

Repository used to acquire remotely sensed imagery (NAIP). Contact the USGS Earth Resources Observation & Science Center (EROS) for imagery questions and downloads.

Online_Linkage: https://earthexplorer.usgs.gov/

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. 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). Aerial image (AI) shorelines were checked along study area shorelines within ArcGIS to ensure the land/water digitization was correct. The digitized shorelines have 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:

Aerial image shorelines of the Grand Bay National Estuarine Research Reserve from 2014 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 National Agricultural imagery program (NAIP) aerial imagery. 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: 20141015

Single_Date/Time:

Calendar_Date: 20160624

Single_Date/Time:

Calendar_Date: 20181204

Single_Date/Time:

Calendar_Date: 20191117

Single_Date/Time:

Calendar_Date: 20200616

Source_Currentness_Reference: ground condition

Source_Citation_Abbreviation: Shorelines_AI_2014_2020.shp
Source_Contribution:

Shorelines derived from NAIP imagery and published as part of this study (https://doi.org/10.5066/P9W8TNQM).

Process_Step:

Process_Description:

NAIP imagery were downloaded from EarthExplorer for dates between 2014 and 2020 that were close in date to select GPS shoreline dates. Images with minimal study area coverage were excluded from the analyses. A total of five dated images were selected. Imagery was reprojected into the North American Datum of 1983 Universal Transverse Mercator zone 16N (NAD1983 UTM 16N).

Source_Used_Citation_Abbreviation:

High resolution aerial imagery derived shorelines for 2014-2020.

Process_Date: 2021
Process_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Joseph 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 NAIP images, the imagery was heads-up digitized within ArcMap 10.5.1 at a scale of 1:1,500. Shorelines were digitized to correspond with the locations of the eleven GPS study sites. The ArcGIS editor toolbar was used to digitize the shorelines at the land/water boundary (for vegetated shorelines) ) or the approximate wet/dry line (for sandy beach shorelines).

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 ArcGIS (version 10.5) 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 (Analyzing Moving Boundaries Using R) 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: "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 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 outside 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: 64

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_AI_2014_2020.shp
Entity_Type_Definition:

Table containing attribute information associated with the 2014 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: 10/15/2014 3:00:00PM
Range_Domain_Maximum: 06/16/2020 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: 2014
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, aerial imagery, 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: 5
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: USGS
Enumerated_Domain_Value_Definition:

Shoreline data derived by the USGS Coastal and Marine Science Center- St. Petersburg, FL.

Enumerated_Domain_Value_Definition_Source: USGS

Attribute:

Attribute_Label: Download
Attribute_Definition: The web link for the published shoreline data.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:

Unrepresentable_Domain:

A text string describing the web address of the original 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: 48.017307
Range_Domain_Maximum: 588.680419
Attribute_Units_of_Measure: Meters

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: NAIP
Enumerated_Domain_Value_Definition: Shorelines were derived from NAIP aerial 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 data set. 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_AI_2014_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_AI_2014_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_AI_2014_2020_metadata.html>