Bias Feature for the Georgia coastal region containing proxy-datum bias information to be used in the Digital Shoreline Analysis System version 5

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Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: 20210929
Title:
Bias Feature for the Georgia coastal region containing proxy-datum bias information to be used in the Digital Shoreline Analysis System version 5
Edition: 1.0
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P9J3CVN4
Publication_Information:
Publication_Place: Woods Hole Coastal and Marine Science Center, Woods Hole, MA
Publisher:
U.S. Geological Survey, Coastal and Marine Hazards and Resources Program
Online_Linkage: https://doi.org/10.5066/P9J3CVN4
Online_Linkage:
https://www.sciencebase.gov/catalog/item/614a8e5dd34e0df5fb975913
Larger_Work_Citation:
Citation_Information:
Originator: Meredith G. Kratzmann
Originator: Amy S. Farris
Originator: Kathy M. Weber
Originator: Rachel E. Henderson
Originator: Emily A. Himmelstoss
Publication_Date: 2021
Title:
USGS National Shoreline Change: A GIS compilation of Updated Vector Shorelines (1800s - 2010s) and Associated Shoreline Change Data for the Georgia and Florida Coasts
Edition: 1.0
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P9J3CVN4
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
suggested citation: Kratzmann, M.G., Farris, A.S., Weber, K.M., Henderson, R.E., and Himmelstoss, E.A., 2021, USGS National Shoreline Change: A GIS compilation of Updated Vector Shorelines (1800s - 2010s) and Associated Shoreline Change Data for the Georgia and Florida Coasts: U.S. Geological Survey data release, https://doi.org/10.5066/P9J3CVN4
Online_Linkage: https://doi.org/10.5066/P9J3CVN4
Online_Linkage:
https://www.sciencebase.gov/catalog/item/612cf2a3d34e40dd9c08844b
Description:
Abstract:
During Hurricane Irma in September 2017, Florida and Georgia experienced significant impacts to beaches, dunes, barrier islands, and coral reefs. Extensive erosion and coral losses result in increased immediate and long-term hazards to shorelines that include densely populated regions. These hazards put critical infrastructure at risk to future flooding and erosion and may cause economic losses. The USGS Coastal and Marine Hazards Resources Program (CMHRP) is assessing hurricane-induced coastal erosion along the southeast US coastline and implications for vulnerability to future storms.
Purpose:
Shoreline positions were compiled prior to and following Hurricane Irma along the sandy shorelines of the Gulf of Mexico and Atlantic coasts of Florida and the coast of Georgia. Shoreline positions from the mid-1800s through 2018 were used to update the shoreline change rates for Florida and Georgia using the Digital Shoreline Analysis System (DSAS) software. The shoreline positions and updated shoreline change rates provide actionable information to homeowners, coastal communities, and managers of public and private properties to improve resiliency for long-term hazards.
The bias feature is a polyline shapefile representation of the proxy-datum bias (PDB) data previously published in tabular format (Himmelstoss and others 2010, Himmelstoss and others 2018). These PDB data are used to reconcile the offset between proxy-based shorelines and more recent datum-based shorelines so they can be directly compared when calculating shoreline change rates.
The bias feature contains the proxy-datum bias (PDB) value and the uncertainty in the PDB for the Georgia (GA) coastal region. These data are provided for users of DSAS and should only be used to determine the corrected change rate when both proxy-based (e.g., HWL) and datum based (e.g., MHW) shorelines are present in the same dataset. These data should not be used for any purpose other than that for which they are intended. The United States Geological Survey does not guarantee its validity. Assumptions, analyses, opinions, and actual outcomes may vary. The user should always verify actual data and exercise their own professional judgment when interpreting any outcomes.
Supplemental_Information:
Cross-referenced citations are applicable to the dataset as a whole. Additional citations are located within individual process steps that pertain specifically to the method described in that step.
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2021
Currentness_Reference: ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -81.464492
East_Bounding_Coordinate: -80.839754
North_Bounding_Coordinate: 32.031587
South_Bounding_Coordinate: 30.711767
Keywords:
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: oceans
Theme_Keyword: environment
Theme_Keyword: geoscientificInformation
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: Shoreline Change
Theme_Keyword: Digital Shoreline Analysis System
Theme_Keyword: DSAS
Theme_Keyword: U.S. Geological Survey
Theme_Keyword: USGS
Theme_Keyword: Coastal and Marine Geology Program
Theme_Keyword: CMGP
Theme_Keyword: Woods Hole Coastal and Marine Science Center
Theme_Keyword: WHCMSC
Theme_Keyword: Linear Regression Rate
Theme_Keyword: LRR
Theme_Keyword: High Water Line
Theme_Keyword: HWL
Theme_Keyword: Mean High Water
Theme_Keyword: MHW
Theme_Keyword: proxy-datum bias
Theme_Keyword: PDB
Theme_Keyword: Bias feature
Theme_Keyword: Bias
Theme:
Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: geospatial datasets
Theme_Keyword: coastal processes
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:614a8e5dd34e0df5fb975913
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Atlantic Coast
Place_Keyword: Gulf Coast
Place_Keyword: United States
Place_Keyword: North America
Place_Keyword: Georgia
Place_Keyword: Florida
Access_Constraints: None
Use_Constraints:
These data were generated for use within the DSAS v5 software, with shoreline data that has both mean high water (MHW) and high water line (HWL) data types present. Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey as the originator of the dataset. These data are not to be used for navigation.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Address:
Address_Type: Mailing and Physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1598
Country: US
Contact_Voice_Telephone: 508-548-8700
Contact_Facsimile_Telephone: 508-457-2310
Contact_Electronic_Mail_Address: rehenderson@contractor.usgs.gov
Browse_Graphic:
Browse_Graphic_File_Name:
https://www.sciencebase.gov/catalog/file/get/614a8e5dd34e0df5fb975913?name=BG_GA_bias.jpg
Browse_Graphic_File_Description: Map view of data
Browse_Graphic_File_Type: jpg
Native_Data_Set_Environment: Microsoft Windows 10 Enterprise; Esri ArcGIS 10.7.1
Cross_Reference:
Citation_Information:
Originator: Meredith G. Kratzmann
Publication_Date: 2022
Title:
U.S. Geological Survey National Shoreline Change: Summary Statistics for Updated Vector Shorelines (1800s - 2010s) and Associated Shoreline Change Data for the Georgia and Florida Coasts
Series_Information:
Series_Name: Data Report
Issue_Identification: 1156
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Data Report associated with this data release: Kratzmann, M.G., Farris, A.S., Weber, K.M., Henderson, R.E., and Himmelstoss, E.A., 2021, USGS national shoreline change-A GIS compilation of updated vector shorelines (1800s - 2010s) and associated shoreline change data for the Georgia and Florida Coasts: U.S. Geological Survey data release, https://doi.org/10.5066/P9J3CVN4.
Online_Linkage: https://doi.org/10.3133/dr1156
Cross_Reference:
Citation_Information:
Originator: Emily A. Himmelstoss
Originator: Amy S. Farris
Originator: Rachel E. Henderson
Originator: Meredith G. Kratzmann
Originator: Ayhan Ergul
Originator: Ouya Zhang
Originator: Jessica L. Zichichi
Publication_Date: 2018
Title:
Digital Shoreline Analysis System (version 5): U.S. Geological Survey Software
Series_Information:
Series_Name: software release
Issue_Identification: version 5
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details: Current version of software at time of use was 5.1
Online_Linkage: https://doi.org/10.5066/P9VW42I0
Online_Linkage: https://code.usgs.gov/cch/dsas/
Online_Linkage:
https://www.usgs.gov/centers/whcmsc/science/digital-shoreline-analysis-system-dsas
Cross_Reference:
Citation_Information:
Originator: E.A. Himmelstoss
Originator: R.E. Henderson
Originator: M.G. Kratzmann
Originator: A. Farris
Publication_Date: 2018
Title: Digital Shoreline Analysis System (DSAS) Version 5 User Guide
Geospatial_Data_Presentation_Form: Open-file report
Series_Information:
Series_Name: Open File Report
Issue_Identification: 2018-1179
Publication_Information:
Publication_Place: Woods Hole, MA
Publisher: U.S. Geological Survey, Coastal and Marine Geology Program
Other_Citation_Details:
Suggested citation: Himmelstoss, E.A., Henderson, R.E., Kratzmann, M, Farris, A., 2018, DSAS version 5 user guide. U.S. Geological Survey report 2018-1179, https://doi.org/10.3133/ofr20181179
Online_Linkage: https://doi.org/10.3133/ofr20181179
Online_Linkage:
https://www.usgs.gov/centers/whcmsc/science/digital-shoreline-analysis-system-dsas
Cross_Reference:
Citation_Information:
Originator: Emily Himmelstoss
Originator: Meredith Kratzmann
Originator: E. Robert Thieler
Publication_Date: 2017
Title:
National Assessment of Shoreline Change: A GIS compilation of Updated Vector Shorelines and Associated Shoreline Change Data for the Southeast Atlantic Coast
Series_Information:
Series_Name: Data release
Issue_Identification: doi:10.5066/F74X55X7
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.5066/F74X55X7
Cross_Reference:
Citation_Information:
Originator: Emily Himmelstoss
Originator: Meredith Kratzmann
Originator: E. Robert Thieler
Publication_Date: 2017
Title:
National Assessment of Shoreline Change: A GIS compilation of Updated Vector Shorelines and Associated Shoreline Change Data for the Gulf of Mexico Coast
Series_Information:
Series_Name: Data release
Issue_Identification: doi:10.5066/F78P5XNK
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.5066/F78P5XNK
Cross_Reference:
Citation_Information:
Originator: Emily Himmelstoss
Originator: Meredith Kratzmann
Originator: E. Robert Thieler
Publication_Date: 2017
Title:
National assessment of shoreline change — Summary statistics for updated vector shorelines and associated shoreline change data for the Gulf of Mexico and Southeast Atlantic coasts
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2017-1015
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.3133/ofr20171015
Cross_Reference:
Citation_Information:
Originator: Robert A. Morton
Originator: Tara L. Miller
Publication_Date: 2005
Title:
National Assessment of Shoreline Change: Part 2 Historical Shoreline Changes and Associated Coastal Land Loss along the U.S. Southeast Atlantic Coast
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2005-1401
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.3133/ofr20051401
Cross_Reference:
Citation_Information:
Originator: Tara L. Miller
Originator: Robert A. Morton
Originator: Asbury H. Sallenger
Publication_Date: 2005
Title:
The National Assessment of Shoreline Change: A GIS Compilation of Vector Shorelines and Associated Shoreline Change Data for the U.S. Southeast Atlantic Coast
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2005-1326
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.3133/ofr20051326
Cross_Reference:
Citation_Information:
Originator: Robert A. Morton
Originator: Tara L. Miller
Originator: Laura J. Moore
Publication_Date: 2004
Title:
National Assessment of Shoreline Change: Part 1 Historical Shoreline Changes and Associated Coastal Land Loss along the U.S. Gulf of Mexico
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2004-1043
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.3133/ofr20041043
Cross_Reference:
Citation_Information:
Originator: Tara L. Miller
Originator: Robert A. Morton
Originator: Asbury H. Sallenger
Originator: Laura J. Moore
Publication_Date: 2004
Title:
The National Assessment of Shoreline Change: A GIS Compilation of Vector Shorelines and Associated Shoreline Change Data for the U.S. Gulf of Mexico
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2004-1089
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.3133/ofr20041089
Cross_Reference:
Citation_Information:
Originator: Peter Ruggiero
Originator: Jeffrey H. List
Publication_Date: 200909
Title:
Improving Accuracy and Statistical Reliability of Shoreline Position and Change Rate Estimates
Geospatial_Data_Presentation_Form: publication
Series_Information:
Series_Name: Journal of Coastal Research
Issue_Identification: vol. 255
Publication_Information:
Publication_Place: n/a
Publisher: Coastal Education and Research Foundation
Other_Citation_Details: pp. 1069-1081
Online_Linkage: https://doi.org/10.2112/08-1051.1
Cross_Reference:
Citation_Information:
Originator: Amy S. Farris
Originator: Kathryn M. Weber
Originator: Kara S. Doran
Originator: Jeffrey H. List
Publication_Date: 2018
Title:
Comparing methods used by the U.S. Geological Survey Coastal and Marine Geology Program for deriving shoreline position from lidar data
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2018–1121
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.3133/ofr20181121
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
The attributes in this feature class record positional and measurement uncertainties and proxy-datum offsets calculated from averaged slope data (2000-2018) and local wave data. The field names are based on the requirements for use within the Digital Shoreline Analysis System (DSAS) software (Himmelstoss and others, 2018).
Logical_Consistency_Report:
Each line segment has a unique identification attribute (OBJECTID). The bias feature contains bias values and uncertainty of the bias values where lidar data were available.
Completeness_Report:
The bias feature file is complete and contains data used to apply the proxy-datum bias when calculating shoreline change rates in DSAS v5.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
The horizontal location of the bias feature is coincident with the baseline. The baseline serves as a reference point for transects cast by the Digital Shoreline Analysis System (DSAS) software which does not correspond to any real-world feature.
Lineage:
Process_Step:
Process_Description:
The profile method for lidar shoreline extraction (Farris and others, 2018) identifies an elevation-based shoreline from point cloud lidar data using a Matlab-based approach (Matlab version 2015b). Using a coast-following reference line with 20-meter spaced profiles, lidar data are analyzed within a two-meter swath around each profile. This method is used to extract MHW shoreline, slope, and uncertainty information. The slope data for each profile were saved. The slope at each profile was averaged over time using data from available lidar surveys 2000-2018. For more infomation regarding lidar shorelines for Georgia and Florida, see the shorelines metadata file associated with this dataset.
Farris, A.S., Weber, K.M., Doran, K.S., and List, J.H., 2018, Comparing methods used by the U.S. Geological Survey Coastal and Marine Geology Program for deriving shoreline position from lidar data: U.S. Geological Survey Open-File Report 2018–1121, 13 p., https://doi.org/10.3133/ofr20181121
Ruggiero, P., and List, J.H., 2009, Improving accuracy and statistical reliability of shoreline position and change rate estimates: Journal of Coastal Research, v. 25, no. 5, p. 1069-1081. Also available at https://www.jstor.org/stable/27752753
Stockdon, H.F., Sallenger, A.H., List, J.H., and Holman, R.A., 2002, Estimation of shoreline position and change using airborne topographic lidar data: Journal of Coastal Research, v.18, no. 3, p. 502-513. Also available at https://www.jstor.org/stable/4299097
Process_Date: 2020
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: Amy S. Farris
Contact_Address:
Address_Type: Mailing and Physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543
Country: US
Contact_Voice_Telephone: 508-548-8700 x2344
Contact_Facsimile_Telephone: 508-457-2310
Contact_Electronic_Mail_Address: afarris@usgs.gov
Process_Step:
Process_Description:
There is a known horizontal offset between the datum-based lidar MHW shoreline and the proxy-based historical shorelines on open-ocean sandy beaches that nearly always acts in one direction (Ruggiero and List, 2009). This bias is called the proxy-datum bias (PDB). The PDB is primarily due to wave run-up and thus is affected by the slope of the foreshore and the movement of water (waves, tides) onto the foreshore (see equation for the PDB and the PDB uncertainty in Ruggiero and List, 2009). These equations require beach slope and wave data. Ideally data collected at the time the proxy-based shoreline was collected would be used, however, since this is usually impossible, the PDB is estimated by averaging all available slope data (generated in the previous process step) and averaging at least 10 years of historical wave data from a nearby buoy (https://www.ndbc.noaa.gov/) and the Wave Information Study (WIS) (https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C00071). The PDB is stored to a point shapefile at the intersection of the each profile with the coast-following reference line.
National Data Buoy Center, National Oceanic and Atmospheric Administration (NOAA) Stennis Space Center, MS 39529 https://www.ndbc.noaa.gov/
U.S. Wave Information Study, DOC/NOAA/NESDIS/NCEI National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce, https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C00071
Process_Date: 2020
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: Amy S. Farris
Contact_Address:
Address_Type: Mailing and Physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1598
Country: US
Contact_Voice_Telephone: 508-548-8700 x2344
Contact_Facsimile_Telephone: 508-457-2310
Contact_Electronic_Mail_Address: afarris@usgs.gov
Process_Step:
Process_Description:
In order to be used with DSAS, the data from the bias points must be connected to a shapefile that is near or adjacent to the DSAS baseline. However, the resulting bias points from the lidar shoreline extraction do not always fall near the baseline. The following steps detail how a series of transects are created to transfer the bias data from the bias points to a copy of the baseline. The following process steps were performed by the same person, Rachel E. Henderson.
Process_Date: 2020
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: Rachel E. Henderson
Contact_Address:
Address_Type: mailing and physical address
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1598
Country: USA
Contact_Voice_Telephone: 508-548-8700
Contact_Facsimile_Telephone: 508-457-2310
Contact_Electronic_Mail_Address: rehenderson@contractor.usgs.gov
Process_Step:
Process_Description:
A personal geodatabase was created and the baseline and sample shorelines for the project area were added. Using DSAS v5.1, the default parameters were set for a midshore baseline. Transects were cast using a 20-meter spacing, a search distance of 1000 meters and smoothing distance of 2000 meters. Once cast, the transects were evaluated with the original bias points to ensure the transects overlapped with the bias points and baseline. If needed, the transects were recast with a larger search distance.
Process_Date: 2020
Source_Produced_Citation_Abbreviation: transects
Process_Step:
Process_Description:
The data from the original bias points were transferred to the transects using the tool "Spatial Join" in ArcToolbox v10.6 > Analysis Tools > Overlay > Spatial Join). The resulting Bias_transect file contains all the original bias information. The Bias_transect file is then converted to a point file (midpoint) using the tool "Feature Vertices to Points" (ArcToolbox > Data Management Tools > Features > Feature Vertices to Points) and selecting the midpoint option. As the transects were cast with the midshore baseline options, the midpoints intersect the baseline. The resulting Bias_midpoint file contains all the original bias information.
Source_Used_Citation_Abbreviation: bias point data
Source_Used_Citation_Abbreviation: transects
Process_Date: 2020
Source_Produced_Citation_Abbreviation: Bias_midpoint
Process_Step:
Process_Description:
A copy of the baseline was created and split into 20-meter increments to match the same spacing of the Bias_midpoint feature. Points along the original baseline were created using the tool "Generate Points along Lines" at a distance of 20 meters. Then the ArcCatalog v10.6 tool "Split Line at Point" was used with the copy of the baseline to generate a new feature that has 20 meter segments: Feature_20m.
Source_Used_Citation_Abbreviation: Bias_midpoint
Process_Date: 2020
Source_Produced_Citation_Abbreviation: Feature_20m
Process_Step:
Process_Description:
The data from Bias_midpoint were transferred to the new baseline Feature_20m, using the tool "Spatial Join" (ArcToolbox v10.6 > Analysis Tools > Overlay > Spatial Join) resulting in a new polyline feature (Feature_wbias) containing all the original bias information at 20 meter increments.
Source_Used_Citation_Abbreviation: bias point data
Process_Date: 2020
Source_Produced_Citation_Abbreviation: Feature_Wbias
Process_Step:
Process_Description:
The "Unsplit Line" tool (ArcToolbox v10.6 > Data Management Toolbox > Features > Unsplit Line) was used to reconnect any adjacent 20-meter segment with the same bias and bias uncertainty values, reducing the number of small segments of the resultant bias feature. The final bias feature shapefile holds the bias value and the bias uncertainty. These components are used by the DSAS v5.1 software to apply the proxy-datum bias correction during shoreline change calculations.
Source_Used_Citation_Abbreviation: Feature_Wbias
Process_Date: 2020
Source_Produced_Citation_Abbreviation: Bias_Feature
Process_Step:
Process_Description:
The bias feature was imported into a personal geodatabase in ArcCatalog v10.7 by right-clicking on the geodatabase > Import > Feature class (single). This process step and all subsequent process steps were performed by the same person - Meredith G. Kratzmann
Process_Date: 2020
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Meredith G. Kratzmann
Contact_Organization: U.S. Geological Survey
Contact_Address:
Address_Type: mailing and physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1598
Country: USA
Contact_Voice_Telephone: 508-548-8700
Contact_Facsimile_Telephone: 508-457-2310
Contact_Electronic_Mail_Address: mkratzmann@contractor.usgs.gov
Process_Step:
Process_Description:
The bias feature (GA_bias) was projected in ArcToolbox v10.7 > Data Management Tools > Projections and Transformations > Project. parameters: input projection - UTM zone 17N (WGS 84); output projection- geographic coordinates (WGS 84); transformation = none.
Process_Date: 2021
Process_Step:
Process_Description:
Updated the cross-reference information with regards to the related Data Report (20220427). The metadata available from a harvester may supersede metadata bundled with the dataset. Compare the metadata dates to determine which metadata file is most recent.
Process_Date: 20220427
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: VeeAnn A. Cross
Contact_Address:
Address_Type: mailing and physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1598
Country: USA
Contact_Voice_Telephone: (508) 548-8700 x2251
Contact_Facsimile_Telephone: 508-457-2310
Contact_Electronic_Mail_Address: vatnipp@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: 196
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Geographic:
Latitude_Resolution: 0.0197393776
Longitude_Resolution: 0.0264608689
Geographic_Coordinate_Units: Decimal seconds
Geodetic_Model:
Horizontal_Datum_Name: WGS_1984
Ellipsoid_Name: WGS_84
Semi-major_Axis: 6378137.0
Denominator_of_Flattening_Ratio: 298.257223563
Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: GA_bias.shp
Entity_Type_Definition:
Proxy-datum bias and uncertainty values for the Georgia (GA) coastal region.
Entity_Type_Definition_Source: U.S. Geological Survey
Attribute:
Attribute_Label: FID
Attribute_Definition:
Internal feature number used as a unique identifier of an object within a table primarily used in shapefiles.
Attribute_Definition_Source: Esri
Attribute_Domain_Values:
Unrepresentable_Domain:
Sequential unique whole numbers that are automatically generated.
Attribute:
Attribute_Label: Shape
Attribute_Definition: Feature geometry.
Attribute_Definition_Source: Esri
Attribute_Domain_Values:
Unrepresentable_Domain: Coordinates defining the features.
Attribute:
Attribute_Label: OBJECTID
Attribute_Definition: A unique identification number for each segment.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Unrepresentable_Domain:
Sequential unique whole numbers that are automatically generated.
Attribute:
Attribute_Label: bias
Attribute_Definition:
This field heading is case-sensitive and name specific. The field contains a proxy-datum bias value describing the unidirectional horizontal offset (in meters) between the MHW elevation of the lidar data and HWL shoreline positions. The average value for GA is 13.0 meters. Values of 0.001 represent areas where there is no bias applied.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.001
Range_Domain_Maximum: 20.782215
Attribute_Units_of_Measure: meters
Attribute:
Attribute_Label: bias_uncy
Attribute_Definition:
The field contains the plus/minus horizontal uncertainty (meters) in the lidar shoreline position at each cross-shore beach profile.Values of 0.001 represent areas where there is no bias applied.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.001
Range_Domain_Maximum: 12.467177
Attribute_Units_of_Measure: meters
Overview_Description:
Entity_and_Attribute_Overview:
The entity and attribute information provided here describes the tabular data associated with the dataset. Please review the individual attribute descriptions for detailed information.
Entity_and_Attribute_Detail_Citation: U.S. Geological Survey
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey - GS ScienceBase
Contact_Address:
Address_Type: mailing address
Address: Denver Federal Center, Building 810, Mail Stop 302
City: Denver
State_or_Province: CO
Postal_Code: 80225
Country: United States
Contact_Voice_Telephone: 1-888-275-8747
Contact_Electronic_Mail_Address: sciencebase@usgs.gov
Resource_Description:
The dataset contains the polyline baselines used for the analysis of shoreline data (SHP and other shapefile components), browse graphic, and the FGDC CSDGM metadata.
Distribution_Liability:
Neither the U.S. Government, the Department of the Interior, nor the USGS, nor any of their employees, contractors, or subcontractors, make any warranty, express or implied, nor assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, nor represent that its use would not infringe on privately owned rights. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the USGS in the use of these data or related materials. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), and have been processed successfully on a computer system at the USGS, no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. The USGS or the U.S. Government shall not be held liable for improper or incorrect use of the data described and/or contained herein. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: Shapefile
Format_Version_Number: ArcGIS 10.7
Format_Specification: Esri polyline shapefile
Format_Information_Content:
These files (.cpg, .dbf, .prj, .sbn, .sbx, .shp, .html, and .shx) are a collection of files with a common filename prefix and must be downloaded and stored in the same directory. Together they are the components of the shapefile and include FGDC CSDGM-compliant metadata in HTML format.
File_Decompression_Technique: no compression applied
Transfer_Size: 0.12
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.5066/P9J3CVN4
Network_Resource_Name:
https://www.sciencebase.gov/catalog/file/get/614a8e5dd34e0df5fb975913
Network_Resource_Name:
https://www.sciencebase.gov/catalog/item/614a8e5dd34e0df5fb975913
Access_Instructions:
The first link is to the USGS publication page, the second link downloads all the data on the landing page, and the third link is to the dataset landing page.
Fees: None
Technical_Prerequisites:
These data are available in a polyline shapefile format. The user must have software to read and process the data components of a shapefile.
Metadata_Reference_Information:
Metadata_Date: 20240319
Metadata_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Meredith G. Kratzmann
Contact_Organization: U.S. Geological Survey
Contact_Address:
Address_Type: mailing and physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1598
Country: USA
Contact_Voice_Telephone: 508-548-8700
Contact_Facsimile_Telephone: 508-457-2310
Contact_Electronic_Mail_Address: whsc_data_contact@usgs.gov
Contact_Instructions:
The metadata contact email address is a generic address in the event the person is no longer with USGS. (updated on 20240319)
Metadata_Standard_Name: FGDC Content Standards 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/whcmsc/SB_data_release/DR_P9J3CVN4/GA_bias_metadata.html>
Generated by mp version 2.9.51 on Wed Jun 26 15:25:06 2024