Satellite-derived shorelines for the U.S. Gulf Coast states of Texas, Louisiana, Mississippi, and Florida for the period 1984-2022, obtained using CoastSat

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Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Daniel Buscombe
Originator: Kilian Vos
Originator: Andrea O'Neill
Originator: Sharon N. Fitzpatrick
Originator: Kristen D. Splinter
Originator: Sean F. Vitousek
Publication_Date: 20240814
Title:
Satellite-derived shorelines for the U.S. Gulf Coast states of Texas, Louisiana, Mississippi, and Florida for the period 1984-2022, obtained using CoastSat
Geospatial_Data_Presentation_Form: Shoreline positions in comma separated value formats
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P1WFZXDM
Publication_Information:
Publication_Place:
Pacific Coastal and Marine Science Center, Santa Cruz, California
Publisher: U.S. Geological Survey
Other_Citation_Details:
Suggested Citation: Buscombe, D., Vos, K., O’Neill, A.C., Fitzpatrick, S.N., Splinter, K.D., and Vitousek, S.F., 2024, Satellite-derived shorelines for the U.S. Gulf Coast states of Texas, Louisiana, Mississippi, and Florida for the period 1984-2022, obtained using CoastSat, U.S. Geological Survey data release, https://doi.org/10.5066/P1WFZXDM.
Online_Linkage: https://doi.org/10.5066/P1WFZXDM
Description:
Abstract:
This dataset contains shoreline positions derived from available Landsat satellite imagery for four states (Texas, Louisiana, Mississippi, and Florida) along the U.S. Gulf coast for the time period 1984 to 2022. 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 CSV 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 a text or spreadsheet editor. For technical users and researchers, data can be ingested into Global Mapper or QGIS or similar 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: 2022
Currentness_Reference:
collection years of satellite imagery used to determine shoreline positions
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -97.376236
East_Bounding_Coordinate: -81.07622
North_Bounding_Coordinate: 30.394106
South_Bounding_Coordinate: 25.114008
Keywords:
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:960ae716-4ce5-462d-b1a3-01d043ae3c79
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 Alabama
Place_Keyword: State of Mississippi
Place_Keyword: State of Louisiana
Place_Keyword: State of Texas
Access_Constraints: No access constraints
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_Gulfcoast.png
Browse_Graphic_File_Description:
Image map showing showing study area for satellite derived shorelines along the Gulf coast.
Browse_Graphic_File_Type: png
Native_Data_Set_Environment:
The datasets were created in a Windows 11 Operating system, python 3.10. Results were output and saved as comma separated files.
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: 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., 2019a, 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., 2019b, 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.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report: Data are concurrent with specified transect locations.
Vertical_Positional_Accuracy:
Vertical_Positional_Accuracy_Report:
A formal accuracy assessment of the vertical positional information in the data set has either not been conducted or is not applicable.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: 2022
Title: Landsat imagery (from Landsat 5-8) for the U.S. Gulf 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: 20221231
Source_Currentness_Reference: 2022
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:
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 with 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 3.10 to run for geography spanning coastline for the U.S. Gulf 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: 20240701
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: 20240701
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: 20240701
Process_Step:
Process_Description: Checked all outputs to ensure quality results.
Process_Date: 20240701
Process_Step:
Process_Description:
Organized final extracted shorelines into comma separated files grouped by state. Originating imagery dates/times, slope, tide, and transect positions are included in files, in addition to derived shoreline positions at all transects.
Process_Date: 20240701
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: point
Point_and_Vector_Object_Information:
SDTS_Terms_Description:
SDTS_Point_and_Vector_Object_Type: point
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 (EGM2008 geoid)
Depth_Resolution: 0.1
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 (1984-2022) for the U.S. Gulf coast, derived from satellite imagery
Entity_Type_Definition:
csv file consists of shoreline positions derived from imagery of the U.S. Gulf coast.
Entity_Type_Definition_Source: Producer Defined
Attribute:
Attribute_Label: date
Attribute_Definition:
date of projected data (UTC) in yyyy-mm-dd format (where yyyy is 4 digit year, mm is 2-digit month, and dd is 2-digit day).
Attribute_Definition_Source: Producer defined
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 1984-01-01
Range_Domain_Maximum: 2022-12-31
Attribute_Units_of_Measure: days
Attribute_Measurement_Resolution: 1
Beginning_Date_of_Attribute_Values: 19840101
Ending_Date_of_Attribute_Values: 20221231
Attribute:
Attribute_Label: time
Attribute_Definition:
time of projected data (UTC) in hh:MM format (where hh is 2-digit hour in 24-hour format and MM is 2-digit minutes).
Attribute_Definition_Source: Producer defined
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 00:00
Range_Domain_Maximum: 23:59
Attribute_Units_of_Measure: minutes
Attribute_Measurement_Resolution: 1
Attribute:
Attribute_Label: ID
Attribute_Definition:
Transect along which shoreline position is derived from satellite imagery for date and time indicated.
Attribute_Definition_Source: Producer Defined
Attribute_Domain_Values:
Unrepresentable_Domain:
Sequential unique whole numbers that are automatically generated. For example, usa_LA_0029_0247, where usa stands for the United States, LA stands for the state of Louisiana, 0029 is the first transect identifier, and 0247 is the last transect identifier.
Attribute:
Attribute_Label: transectStart_X
Attribute_Definition: Starting position (longitude) of transect.
Attribute_Definition_Source: Producer Defined
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: -97.37954
Range_Domain_Maximum: -81.07792
Attribute_Units_of_Measure: decimal degrees
Attribute_Measurement_Resolution: 0.000001
Attribute:
Attribute_Label: transectStart_Y
Attribute_Definition: Starting position (latitude) of transect.
Attribute_Definition_Source: Producer Defined
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 25.116516
Range_Domain_Maximum: 30.400093
Attribute_Units_of_Measure: decimal degrees
Attribute_Measurement_Resolution: 0.000001
Attribute:
Attribute_Label: transectEnd_X
Attribute_Definition: Ending position (longitude) of transect.
Attribute_Definition_Source: Producer Defined
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: -97.376236
Range_Domain_Maximum: -81.07622
Attribute_Units_of_Measure: decimal degrees
Attribute_Measurement_Resolution: 0.000001
Attribute:
Attribute_Label: transectEnd_Y
Attribute_Definition: Ending position (latitude) of transect.
Attribute_Definition_Source: Producer Defined
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 25.114008
Range_Domain_Maximum: 30.394106
Attribute_Units_of_Measure: decimal degrees
Attribute_Measurement_Resolution: 0.000001
Attribute:
Attribute_Label: distance
Attribute_Definition: distance of derived shoreline position along transect.
Attribute_Definition_Source: Producer Defined
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 10.1
Range_Domain_Maximum: 603.7
Attribute_Units_of_Measure: meters
Attribute_Measurement_Resolution: 0.1
Attribute:
Attribute_Label: slope
Attribute_Definition: slope used for tidal correction of derived shoreline position
Attribute_Definition_Source: Producer Defined
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.010
Range_Domain_Maximum: 0.195
Attribute_Units_of_Measure: none
Attribute_Measurement_Resolution: 0.001
Attribute:
Attribute_Label: tide
Attribute_Definition:
tide height correction (referenced to MSL) used for derived shoreline position
Attribute_Definition_Source: Producer Defined
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: -0.8664625
Range_Domain_Maximum: 0.75285834
Attribute_Units_of_Measure: meters
Attribute_Measurement_Resolution: 0.00001
Attribute:
Attribute_Label: shoreline_x
Attribute_Definition:
Position (latitude) of shoreline derived from satellite imagery for date and time indicated.
Attribute_Definition_Source: Producer Defined
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: -97.379364
Range_Domain_Maximum: -81.07745
Attribute_Units_of_Measure: decimal degrees
Attribute_Measurement_Resolution: 0.000001
Attribute:
Attribute_Label: shoreline_y
Attribute_Definition:
Position (longitude) of shoreline derived from satellite imagery for date and time indicated.
Attribute_Definition_Source: Producer Defined
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 25.115952
Range_Domain_Maximum: 30.397348
Attribute_Units_of_Measure: decimal degrees
Attribute_Measurement_Resolution: 0.000001
Overview_Description:
Entity_and_Attribute_Overview: The first line of the csv is a header line
Entity_and_Attribute_Detail_Citation: U.S. Geological Survey
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 csv format by state. Shorelines are identified as points along transects (ID) and transect start and end points are included in the csv.
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: comma-delimited text
Format_Information_Content: csv file for Florida
Transfer_Size: 586.2
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.5066/P1WFZXDM
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: comma-delimited text
Format_Information_Content: csv file for Mississippi
Transfer_Size: 40.4
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.5066/P1WFZXDM
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: comma-delimited text
Format_Information_Content: csv file for Louisiana
Transfer_Size: 255.6
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.5066/P1WFZXDM
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: comma-delimited text
Format_Information_Content: csv file for Texas
Transfer_Size: 565.9
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.5066/P1WFZXDM
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 GIS software such as Arc, Global Mapper or QGIS, or numerical processing software such as python or Matlab.
Metadata_Reference_Information:
Metadata_Date: 20240814
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

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