Satellite-derived shorelines for the U.S. Atlantic coast (1984-2021)

Metadata also available as - [Questions & Answers] - [Parseable text] - [XML]

Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Sean F. Vitousek
Originator: Kilian Vos
Originator: Patrick L. Barnard
Originator: Andrea C. O’Neill
Publication_Date: 20230315
Title:
Satellite-derived shorelines for the U.S. Atlantic coast (1984-2021)
Geospatial_Data_Presentation_Form: Shoreline positions in Google Earth KMZ formats
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P9BQQTCI
Publication_Information:
Publication_Place: Pacific Coastal and Marine Science Center, Santa Cruz, CA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.5066/P9BQQTCI
Larger_Work_Citation:
Citation_Information:
Originator: Patrick L. Barnard
Originator: Kevin Befus
Originator: Jeffrey J. Danielson
Originator: Anita C. Engelstad
Originator: Li H. Erikson
Originator: Amy C. Foxgrover
Originator: Maya K. Hayden
Originator: Daniel J. Hoover
Originator: Tim Leijnse
Originator: Chris Massey
Originator: Robert McCall
Originator: Norberto C. Nadal-Caraballo
Originator: Kees Nederhoff
Originator: Leonard Ohenhen
Originator: Andrea C. O’Neill
Originator: Kai A. Parker
Originator: Manoocher Shirzaei
Originator: Xin Su
Originator: Jennifer A. Thomas
Originator: Maarten van Ormondt
Originator: Sean F. Vitousek
Originator: Kilian Vos
Originator: Madison C. Yawn
Publication_Date: 2023
Title: Future coastal hazards along the U.S. Atlantic coast
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P9BQQTCI
Publication_Information:
Publication_Place: Pacific Coastal and Marine Science Center, Santa Cruz, CA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.5066/P9BQQTCI
Description:
Abstract:
This dataset contains shoreline positions derived from available Landsat satellite imagery for five states (Delaware, Maryland, Viginia, Georgia, and Florida) along the U.S. Atlantic coast for the time period 1984 to 2021. An open-source toolbox, CoastSat (Vos and others, 2019a and 2019b), was used to classify coastal Landsat imagery and detect shorelines at the sub-pixel scale. Resulting shorelines are presented in KMZ format. Significant uncertainty is associated with the locations of shorelines in extremely dynamic regions, including at the locations of river mouths, tidal inlets, capes, and ends of spits. These data are readily viewable in Google Earth. For best display of results, it is recommended to turn off any 3D viewing. For technical users and researchers, data can be ingested into Global Mapper or QGIS for more detailed analysis. Similar shoreline positions for North Carolina and South Carolina are available from Barnard and others, 2023 at https://doi.org/10.5066/P9W91314.
Purpose:
These data provide estimates of automatically detected coastal shoreline position for resource managers, science researchers, students, and the general public. These data can be used with geographic information systems, shoreline evolution models, or other software to assist identifying and assessing possible areas of vulnerability, along with appropriate inclusion of uncertainty. These data are not intended to be used for navigation or in lieu of definitive shoreline datasets.
Supplemental_Information:
This data release was funded by the USGS Coastal and Marine Hazards and Resources Program. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1984
Ending_Date: 2021
Currentness_Reference:
collection years of satellite imagery used to determine shoreline positions
Status:
Progress: In work
Maintenance_and_Update_Frequency: As needed
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -82.11192
East_Bounding_Coordinate: -75.32334
North_Bounding_Coordinate: 38.81563
South_Bounding_Coordinate: 26.06347
Keywords:
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:124b402e-dd8c-4e45-ac50-10ce6c8a083a
Theme:
Theme_Keyword_Thesaurus: Global Change Master Directory
Theme_Keyword: Hazards Planning
Theme_Keyword: Ocean Waves
Theme_Keyword: Erosion
Theme_Keyword: Sea Level Rise
Theme_Keyword: Extreme Weather
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: Oceans
Theme_Keyword: ClimatologyMeteorologyAtmosphere
Theme:
Theme_Keyword_Thesaurus: Data Categories for Marine Planning
Theme_Keyword: Physical Habitats and Geomorphology
Theme:
Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: Climate Change
Theme_Keyword: Storms
Theme_Keyword: Sea-level Change
Theme:
Theme_Keyword_Thesaurus: Marine Realms Information Bank (MRIB) keywords
Theme_Keyword: sea level change
Theme_Keyword: waves
Theme_Keyword: coastal erosion
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: U.S. Geological Survey
Theme_Keyword: USGS
Theme_Keyword: Coastal and Marine Hazards and Resources Program
Theme_Keyword: CMHRP
Theme_Keyword: Pacific Coastal and Marine Science Center
Theme_Keyword: PCMSC
Place:
Place_Keyword_Thesaurus: Geographic Names Information System (GNIS)
Place_Keyword: State of Florida
Place_Keyword: State of Georgia
Place_Keyword: State of Virginia
Place_Keyword: State of Maryland
Place_Keyword: State of Delaware
Access_Constraints: None
Use_Constraints:
USGS-authored or produced data and information are in the public domain from the U.S. Government and are freely redistributable with proper metadata and source attribution. Please recognize and acknowledge the U.S. Geological Survey as the originator(s) of the dataset and in products derived from these data.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:
U.S. Geological Survey, Pacific Coastal and Marine Science Center
Contact_Person: PCMSC Science Data Coordinator
Contact_Address:
Address_Type: mailing and physical
Address: 2885 Mission Street
City: Santa Cruz
State_or_Province: CA
Postal_Code: 95060
Contact_Voice_Telephone: 831-427-4747
Contact_Electronic_Mail_Address: pcmsc_data@usgs.gov
Browse_Graphic:
Browse_Graphic_File_Name: SatelliteDerivedShorelines_US_Atlanticcoast.png
Browse_Graphic_File_Description:
Image map showing showing study area for satellite derived shorelines along SE Atlantic coast.
Browse_Graphic_File_Type: png
Data_Set_Credit:
This data release was funded by the USGS Coastal and Marine Hazards and Resources Program.
Native_Data_Set_Environment:
The datasets were created in a Windows 11 Operating system, using Matlab v2020 and python 3.7. Results were output and saved as KMZs.
Cross_Reference:
Citation_Information:
Originator: Patrick L. Barnard
Originator: Kevin Befus
Originator: Jeffrey J. Danielson
Originator: Anita C. Engelstad
Originator: Li H. Erikson
Originator: Amy C. Foxgrover
Originator: Matthew W. Hardy
Originator: Daniel J. Hoover
Originator: Tim Leijnse
Originator: Chris Massey
Originator: Robert McCall
Originator: Norberto C. Nadal-Caraballo
Originator: Kees Nederhoff
Originator: Leonard Ohenhen
Originator: Andrea C. O’Neill
Originator: Kai A. Parker
Originator: Manoocher Shirzaei
Originator: Xin Su
Originator: Jennifer A. Thomas
Originator: Maarten van Ormondt
Originator: Sean F. Vitousek
Originator: Madison C. Yawn
Publication_Date: 2023
Title:
Future coastal hazards along the U.S. North and South Carolina coasts
Other_Citation_Details:
Barnard, P.L., Befus, K., Danielson, J.J., Engelstad, A.C., Erikson, L.H., Foxgrover, A.C., Hardy, M.W., Hoover, D.J., Leijnse, T., Massey, C., McCall, R., Nadal-Caraballo, N.C., Nederhoff, K., Ohenhen, L., O’Neill, A.C., Parker, K.A., Shirzaei, M., Su, X., Thomas, J.A., van Ormondt, M., Vitousek, S.F., Vos K., and Yawn, M.C., 2023 Future coastal hazards along the U.S. North and South Carolina coasts: U.S. Geological Survey data release, https://doi.org/10.5066/P9W91314
Online_Linkage: https://doi.org/10.5066/P9W91314
Cross_Reference:
Citation_Information:
Originator: Vitousek, S.
Originator: Barnard, P.L.
Originator: Limber, P.W.
Originator: Erikson, L.H.
Originator: Cole, B.
Publication_Date: 2017
Title:
A model integrating longshore and cross-shore processes for predicting long-term shoreline response to climate change
Other_Citation_Details:
Vitousek, S., Barnard, P.L., Limber, P., Erikson, L.H., and Cole, B., 2017, A model integrating longshore and cross-shore processes for predicting long-term shoreline response to climate change: Journal of Geophysical Research--Earth Surface, v. 122, p. 782-806.
Online_Linkage: https://doi.org/10.1002/2016JF004065
Cross_Reference:
Citation_Information:
Originator: Vitousek, S.
Originator: Cagigal, L.
Originator: Montano, J.
Originator: Rueda, A.
Originator: Mendez, F.
Originator: Coco, G.
Originator: Barnard, P.L.
Publication_Date: 2021
Title:
The application of ensemble wave forcing to quantify uncertainty of shoreline change predictions
Other_Citation_Details:
Vitousek, S., Cagigal, L., Montaño, J., Rueda, A., Mendez, F., Coco, G., and Barnard, P.L., 2021, The application of ensemble wave forcing to quantify uncertainty of shoreline change predictions: Journal of Geophysical Research: Earth Surface, v. 126, e2019JF005506.
Online_Linkage: https://doi.org/10.1029/2019JF005506
Cross_Reference:
Citation_Information:
Originator: Sean Vitousek
Originator: Kilian Vos
Originator: Patrick L. Barnard
Originator: Andrea C. O’Neill
Publication_Date: 2023
Title:
Projections of Shoreline Change of current and future (2005-2100) sea-level rise scenarios for the U.S. Atlantic coast
Other_Citation_Details:
Barnard, P.L., Befus, K., Nadal-Caraballo, N.C., Danielson, J., Engelstad, A., Erikson, L.H., Foxgrover, A.C., Hardy, M., Hoover, D., Leijnse, T., Massey, C., McCall, R., Nederhoff, K., Ohenhen, L., O'Neill, A.C., Parker, K., Shirzaei, M., Su, X., Thompson, J., van Ormondt, M., Vitousek, S., Vos, K., Yawn, M.C., 2023. Future Coastal Hazards along the U.S. Atlantic coast. U.S. Geological Survey data release, https://doi.org/10.5066/P9BQQTCI
Online_Linkage: https://doi.org/10.5066/P9BQQTCI
Cross_Reference:
Citation_Information:
Originator: Vos, K.
Originator: Harley, M.D.
Originator: Splinter, K.D.
Originator: Simmons, J.A.
Originator: Turner, I.L.
Publication_Date: 2019
Title:
Sub-annual to multi-decadal shoreline variability from publicly available satellite imagery
Other_Citation_Details:
Vos, K., Harley, M.D., Splinter, K.D., Simmons, J.A., and Turner, I.L., 2019, Sub-annual to multi-decadal shoreline variability from publicly available satellite imagery: Coastal Engineering, v. 150, p. 160-174.
Online_Linkage: https://doi.org/10.1016/j.coastaleng.2019.04.004
Cross_Reference:
Citation_Information:
Originator: Vos, K.
Originator: Splinter, K.D.
Originator: Harley, M.D.
Originator: Simmons, J.A.
Originator: Turner, I.L.
Publication_Date: 2019
Title:
CoastSat: A Google Earth Engine-enabled Python toolkit to extract shorelines from publicly available satellite imagery
Other_Citation_Details:
Vos, K., Splinter, K.D., Harley, M.D., Simmons, J.A., and Turner, I.L., 2019, CoastSat: A Google Earth Engine-enabled Python toolkit to extract shorelines from publicly available satellite imagery: Environmental Modelling and Software, v. 122, 104528.
Online_Linkage: https://doi.org/10.1016/j.envsoft.2019.104528
Cross_Reference:
Citation_Information:
Originator: Vos, K.
Originator: Harley, M.D.
Originator: Splinter, K.D.
Originator: Walker, A.
Originator: Turner, I.L.
Publication_Date: 2020
Title: Beach slopes from satellite‐derived shorelines
Other_Citation_Details:
Vos, K., Harley, M.D., Splinter, K.D., Walker, A., and Turner, I.L, 2020, Beach slopes from satellite‐derived shorelines: Geophysical Research Letters, v. 47, e2020GL088365.
Online_Linkage: https://doi.org/10.1029/2020GL088365
Cross_Reference:
Citation_Information:
Originator: Gorelick, N.
Originator: Hancher, M.
Originator: Dixon, M.
Originator: Ilyshechenko, S.
Originator: Thau, D.
Originator: Moore, R.
Publication_Date: 2017
Title:
Google Earth Engine: Planetary-scale geospatial analysis for everyone.
Other_Citation_Details:
Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., and Moore, R., 2017, Google Earth Engine: Planetary-scale geospatial analysis for everyone: Remote Sensing of Environment, v. 202, p. 18-27.
Online_Linkage: https://doi.org/10.1016/j.rse.2017.06.031
Cross_Reference:
Citation_Information:
Originator: Himmelstoss, E.A.
Originator: Farris, A.S.
Originator: Henderson, R.E.
Originator: Kratzmann, M.G.
Originator: Ergul, A.
Originator: Zhang, O.
Originator: Zichichi, J.L.
Originator: Thieler, E.R.
Publication_Date: 2021
Title: Digital Shoreline Analysis System (version 5.1)
Other_Citation_Details:
Himmelstoss, E.A., Farris, A.S., Henderson, R.E., Kratzmann, M.G., Ergul, A., Zhang, O., Zichichi, J.L., Thieler, E.R., 2021, Digital Shoreline Analysis System (version 5.1): U.S. Geological Survey software release, https://code.usgs.gov/cch/dsas.
Online_Linkage: https://code.usgs.gov/cch/dsas
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
Attribute values are estimates of shoreline position based on satellite imagery. The accuracy of this method was assessed by Vos and others (2019a), who compared data with ground-based surveys at Duck, North Carolina. In line with these estimates, authors are using a cross-shore horizontal error of 10 m (root mean square error) in most locations. In dynamic locations, including areas such as river mouths, capes, and ends of spits, uncertainty is greater, and positions should be inspected and used with care.
Logical_Consistency_Report:
Data have undergone QA/QC and fall within expected/reasonable ranges.
Completeness_Report:
Data set is considered complete for the information presented and will be updated as needed.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report: Data are concurrent with specified transect locations.
Vertical_Positional_Accuracy:
Vertical_Positional_Accuracy_Report: N/A
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: 2021
Title:
Landsat imagery (from Landsat 5-8) for the U.S. southeast Atlantic coast
Geospatial_Data_Presentation_Form: image
Publication_Information:
Publication_Place: online
Publisher: U.S. Geological Survey
Online_Linkage: https://earthengine.google.com/
Type_of_Source_Media: online database
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 19840101
Ending_Date: 20211231
Source_Currentness_Reference: 2021
Source_Citation_Abbreviation: Landsat imagery
Source_Contribution:
The archive of Landsat 5-8 satellite imagery accessed through Google Earth Engine was used to derive shoreline positions for the study area.
Source_Information:
Source_Citation:
Citation_Information:
Originator: Carrere, L.
Originator: Lyard, F.
Originator: Cancet, M.
Originator: Guillot, A.
Originator: Picot, N.
Publication_Date: 20160501
Title:
FES (Finite Element Solution) 2014, a new tidal model—Validation results and perspectives for improvements
Geospatial_Data_Presentation_Form: model
Publication_Information:
Publication_Place: online
Publisher: AVISO
Online_Linkage:
https://www.aviso.altimetry.fr/es/data/products/auxiliary-products/global-tide-fes/description-fes2014.html
Type_of_Source_Media: online model
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20160501
Source_Currentness_Reference: tide height predictions using a finite element solution model
Source_Citation_Abbreviation: FES 2014
Source_Contribution:
Tidal corrections in the shoreline position were made tiwth tide height predicted from the FES 2014 model.
Process_Step:
Process_Description:
Set up CoastSat toolbox (Vos and others, 2019a and 2019b) for implementation along the region of interest. Toolbox set up in python 3.7 to run for geography spanning coastline for the U.S. Atlantic coast, for the time period of 01 March 1984 to 27 April 2021. The beach slopes used for the tidal corrections were automatically derived from the raw satellite shorelines using the method explained by Vos and others (2020). CoastSat operates on the same transects as the CoSMoS-COAST model for the region (Vitousek and others, 2023), modified from the transects of the Digital Shoreline Analysis System (DSAS; Himmelstoss and others, 2021). The transects were grouped (including a 500 m lateral buffer) into several different bounding boxes for which the satellite imagery was extracted. The bounding boxes had an average size of 16 km2 (a maximum of 32 km2 and a minimum of 1 km2).
Process_Date: 20210209
Process_Step:
Process_Description:
Ran CoastSat toolbox on Landsat imagery available through Google Earth Engine (Gorelick and others, 2017) for geography and time period of interest. Only cloudless imagery or imagery with less than 50 percent cloud cover was used. Imagery had horizontal resolution of 30 m, which was pan-sharpened to 15 m. Tidal corrections were applied using tide heights estimated from the FES 2014 Tidal model.
Source_Used_Citation_Abbreviation: FES 2014, Landsat imagery
Process_Date: 20210401
Process_Step:
Process_Description:
Checked output to ensure quality results. These shorelines represent the automatically detected shoreline segments as identified by CoastSat (no other adjustments). The accuracy of the satellite-derived shoreline (SDS) for this area was addressed in Vos and others (2019a), who compared SDS observations with ground-based surveys at Duck, NC. They found an RMS accuracy of about 9 m (root mean square error). Lacking additional, sufficient ground-based observations for the purposes of further robust error estimates, authors use an error of 10 m (in root mean square error) for the SDS dataset. In dynamic locations, including areas such as river mouths, capes, and ends of spits, uncertainty is greater, and locations should be inspected and used with care.
Process_Date: 20210915
Process_Step:
Process_Description: Checked all output to ensure quality results.
Process_Date: 20211216
Process_Step:
Process_Description:
Organized final extracted shorelines into KMZ files grouped by state. Shorelines are represented as lines that are colored based on the date of imagery acquisition. Older shorelines are displayed in blue, and in red for newer shorelines.
Process_Date: 20220110
Process_Step:
Process_Description:
Edits were made to correct spelling in author name. No data were changed. The metadata available from a harvester may supersede metadata bundled within a download file. Users are advised to compare the metadata date of this file to any similar file to ensure they are using the most recent version. (scochran@usgs.gov)
Process_Date: 20230516
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Vector
Point_and_Vector_Object_Information:
SDTS_Terms_Description:
SDTS_Point_and_Vector_Object_Type: GT-polygon composed of chains
Point_and_Vector_Object_Count: 100000
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Geographic:
Latitude_Resolution: 0.000001
Longitude_Resolution: 0.000001
Geographic_Coordinate_Units: Decimal Degrees
Geodetic_Model:
Horizontal_Datum_Name: North American Datum 1983
Ellipsoid_Name: Geodetic Reference System 80
Semi-major_Axis: 6378137.000000
Denominator_of_Flattening_Ratio: 298.257222
Vertical_Coordinate_System_Definition:
Depth_System_Definition:
Depth_Datum_Name: NAVD88
Depth_Resolution: 1.0
Depth_Distance_Units: meters
Depth_Encoding_Method: Implicit coordinate
Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label:
Shoreline positions for historical period (1984-2021) for the U.S. Atlantic coast, derived from satellite imagery
Entity_Type_Definition:
KMZ file consists of shoreline positions derived from imagery of the U.S. Atlantic coast. Shorelines are represented as lines colored based on the date of imagery acquisition. Older shorelines are displayed in blue, and in red for newer shorelines.
Entity_Type_Definition_Source: Producer Defined
Attribute:
Attribute_Label: CoastSat_shoreline
Attribute_Definition:
Position of unique shoreline segment derived from satellite imagery for date and time indicated.
Attribute_Definition_Source: Producer Defined
Attribute_Domain_Values:
Unrepresentable_Domain:
geographic position of shoreline derived from satellite imagery.
Overview_Description:
Entity_and_Attribute_Overview:
Shoreline positions for period 1984-2021 along the U.S. Atlantic coast.
Entity_and_Attribute_Detail_Citation:
Shoreline positions for period 1984-2021 along the U.S. Atlantic coast. The KMZ files consist of shoreline positions derived from satellite imagery. Shorelines are represented as lines colored based on the date of imagery acquisition. Older shorelines are displayed in blue, and in red for newer shorelines.
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey - CMGDS
Contact_Address:
Address_Type: mailing and physical
Address: 2885 Mission Street
City: Santa Cruz
State_or_Province: CA
Postal_Code: 95060
Contact_Voice_Telephone: 831-427-4747
Contact_Electronic_Mail_Address: pcmsc_data@usgs.gov
Resource_Description:
These data are available in KMZ format (zipped KML files), by state. Virginia, Maryland and Delaware are combined in one KMZ file.
Distribution_Liability:
Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: KML
Format_Version_Number: Google Earth Pro (version 7.3, Google, 2017)
Format_Specification:
Features are in KMZ format (a zipped form of KML) and are projected in UTM Zone 17 coordinates, with horizontal datum NAD83 and vertical datum NAVD88.
Format_Information_Content: KMZ file for Florida
File_Decompression_Technique: WinZip
Transfer_Size: 96.9
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.5066/P9BQQTCI
Access_Instructions:
Data can be downloaded using the Network_Resource_Name link then scrolling down to the Satellite Data section.
Digital_Form:
Digital_Transfer_Information:
Format_Name: KML
Format_Version_Number: Google Earth Pro (version 7.3, Google, 2017)
Format_Specification:
Features are in KMZ format (a zipped form of KML) and are projected in UTM Zone 17 coordinates, with horizontal datum NAD83 and vertical datum NAVD88.
Format_Information_Content: KMZ file for Georgia
File_Decompression_Technique: WinZip
Transfer_Size: 32.6
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.5066/P9BQQTCI
Access_Instructions:
Data can be downloaded using the Network_Resource_Name link then scrolling down to the Satellite Data section.
Digital_Form:
Digital_Transfer_Information:
Format_Name: KML
Format_Version_Number: Google Earth Pro (version 7.3, Google, 2017)
Format_Specification:
Features are in KMZ format (a zipped form of KML) and are projected in UTM Zone 18 coordinates, with horizontal datum NAD83 and vertical datum NAVD88.
Format_Information_Content: KMZ file for Virginia, Maryland and Delaware
File_Decompression_Technique: WinZip
Transfer_Size: 32.7
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.5066/P9BQQTCI
Access_Instructions:
Data can be downloaded using the Network_Resource_Name link then scrolling down to the Satellite Data section.
Fees: None.
Technical_Prerequisites:
These data can be viewed with Google Earth software, and other compatible GIS software such as Global Mapper or QGIS.
Metadata_Reference_Information:
Metadata_Date: 20230516
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:
U.S. Geological Survey, Pacific Coastal and Marine Science Center
Contact_Person: PCMSC Science Data Coordinator
Contact_Address:
Address_Type: mailing and physical
Address: 2885 Mission Street
City: Santa Cruz
State_or_Province: CA
Postal_Code: 95060
Contact_Voice_Telephone: 831-427-4747
Contact_Electronic_Mail_Address: pcmsc_data@usgs.gov
Metadata_Standard_Name: Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
This page is <https://cmgds.marine.usgs.gov/catalog/pcmsc/DataReleases/CMGDS_DR_tool/DR_P9BQQTCI/SatelliteDerivedShorelines_metadata.html>
Generated by mp version 2.9.51 on Tue May 16 16:48:22 2023