Long-term shoreline change rate transects for the South Carolina coastal region, calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1

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Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Marie K. Bartlett
Publication_Date: 20230815
Title:
Long-term shoreline change rate transects for the South Carolina coastal region, calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1
Edition: 1.0
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: data release
Issue_Identification: doi:10.5066/P9LLAZYE
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/P9LLAZYE
Online_Linkage: Larger_Work_Citation:
Citation_Information:
Originator: Marie K. Bartlett
Originator: Amy S. Farris
Originator: Kathryn M. Weber
Publication_Date: 2023
Title:
USGS National Shoreline Change — A GIS compilation of new lidar-derived shorelines (2010, 2017, and 2018) and associated shoreline change data for coastal South Carolina
Edition: 1.0
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: data release
Issue_Identification: doi:10.5066/P9LLAZYE
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Bartlett, M.K., Farris, A.S., and Weber, K.M., 2023, USGS National Shoreline Change — A GIS compilation of new lidar-derived shorelines (2010, 2017, and 2018) and associated shoreline change data for coastal South Carolina: U.S. Geological Survey data release, https://doi.org/P9LLAZYE.
Online_Linkage: https://doi.org/10.5066/P9LLAZYE
Online_Linkage:
Description:
Abstract:
The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change.
This data release includes two new mean high water (MHW) shorelines extracted from lidar data collected in 2010 and 2017-2018. Previously published historical shorelines for South Carolina (Kratzmann and others, 2017) were combined with the new lidar shorelines to calculate long-term (up to 166 years) and short-term (up to 18 years) rates of change. Files associated with the long-term and short-term rates are appended with "LT" and "ST", respectively. A proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (e.g. High Water Line (HWL) shoreline) and a datum shoreline (e.g. MHW shoreline) is also included in this release.
Purpose:
This dataset describes the long-term (up to 166 years) shoreline change rates for the South Carolina coastal region, used to maintain a national database of shoreline change.
Supplemental_Information:
Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 5.1, an ArcGIS extension developed by the U.S. Geological Survey. Long-term rates of shoreline change were calculated using a linear regression rate based on available shoreline data. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate rates. This dataset consists of shoreline change rates calculated with DSAS version 5.1 and stored as a new transect layer. Original measurement transects are cast by DSAS from the baseline to intersect shoreline vectors, and the intersect data provide location and time information used to calculate rates of change.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1852
Ending_Date: 2018
Currentness_Reference: ground condition at the time of shoreline source data
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -80.876514
East_Bounding_Coordinate: -78.554070
North_Bounding_Coordinate: 33.850439
South_Bounding_Coordinate: 32.080224
Keywords:
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: environment
Theme_Keyword: oceans
Theme_Keyword: geoscientificInformation
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: Baseline
Theme_Keyword: Shoreline
Theme_Keyword: Shoreline Change
Theme_Keyword: Digital Shoreline Analysis System
Theme_Keyword: DSAS
Theme_Keyword: U.S. Geological Survey
Theme_Keyword: USGS
Theme_Keyword: Woods Hole Coastal and Marine Science Center
Theme_Keyword: WHCMSC
Theme_Keyword: Atlantic Coast
Theme_Keyword: North America
Theme_Keyword: Southeast Atlantic
Theme_Keyword: South Carolina
Theme_Keyword: accretion
Theme_Keyword: erosion
Theme_Keyword: long-term change rates
Theme:
Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: coastal processes
Theme_Keyword: geospatial datasets
Theme_Keyword: erosion
Theme_Keyword: shoreline accretion
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:6480bf65d34eac007b57a91b
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Atlantic Coast
Place_Keyword: South Carolina
Place_Keyword: United States
Access_Constraints: None.
Use_Constraints:
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_Person_Primary:
Contact_Person: Marie K. Bartlett
Contact_Organization: U.S. Geological Survey
Contact_Position: Geologist
Contact_Address:
Address_Type: mailing
Address: 384 Woods Hole Rd
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543
Country: United States
Contact_Voice_Telephone: 508-457-8700 x2306
Contact_Electronic_Mail_Address: mbartlett@usgs.gov
Browse_Graphic:
Browse_Graphic_File_Name: Browse_Graphic_File_Description: Map view of dataset
Browse_Graphic_File_Type: JPEG
Native_Data_Set_Environment: Microsoft Windows 10 Esri ArcGIS 10.7.1
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
Originator: E. Robert Thieler
Publication_Date: 2021
Title:
Digital Shoreline Analysis System (version 5.1): U.S. Geological Survey Software
Geospatial_Data_Presentation_Form: publication
Series_Information:
Series_Name: software release
Issue_Identification: version 5.1
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Use the first two links to access the software. The third link directs to the DSAS project page. Current version of software at time of use was 5.1.
Online_Linkage: https://code.usgs.gov/cch/dsas/
Online_Linkage: https://doi.org/10.5066/P9VW42I0
Online_Linkage: https://woodshole.er.usgs.gov/project-pages/DSAS/
Cross_Reference:
Citation_Information:
Originator: Emily A. Himmelstoss
Originator: Rachel E. Henderson
Originator: Meredith G. Kratzmann
Originator: Amy S. Farris
Publication_Date: 20211019
Title: Digital Shoreline Analysis System (version 5.1) User Guide
Geospatial_Data_Presentation_Form: publication
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2021-1091
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Refer to the DSAS user guide for more information about attribute requirements, accuracy reports, and feature creation.
Online_Linkage: https://doi.org/10.3133/ofr20211091
Online_Linkage: https://woodshole.er.usgs.gov/project-pages/DSAS/
Cross_Reference:
Citation_Information:
Originator: Emily A. Himmelstoss
Originator: Meredith G. Kraztmann
Originator: E. Robert Thieler
Publication_Date: 20170718
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
Edition: 1.0
Geospatial_Data_Presentation_Form: vector digital data
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
Online_Linkage: https://pubs.er.usgs.gov/publication/ofr20171015
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: Charlotte, NC
Publisher: Coastal Education and Research Foundation
Other_Citation_Details: ppg. 1069-1081
Online_Linkage: https://doi.org/10.2112/08-1051.1
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
The attributes of this dataset are based on the field requirements of the Digital Shoreline Analysis System and were automatically generated by the software during the generation of the transect layer or during the calculation of shoreline change rates performed by the software.
Logical_Consistency_Report:
These data were generated using DSAS v5.1. The transects automatically generated by the software were visually inspected along with the shoreline data prior to rate calculations. Sometimes transect positions were manually edited within a standard ArcMap edit session to adjust the position at which individual transects intersect the shorelines to better represent an orthogonal position to the general trend of the coast. It is possible that a small (centimeter-scale) offset may occur when projecting from outside of the spatial reference system used for analysis (UTM Zone 17N WGS84). This is an ArcGIS projection issue; rate data are unaffected.
Completeness_Report:
This dataset contains the transects automatically generated by the DSAS software application that were used to calculate shoreline change rates for the region. Additional transects may have been generated but did not intersect the minimum requirement of three shorelines, at least one of which must be a modern lidar shoreline. Shoreline change rates data are provided where there are available shorelines to compute change metrics. Though the full database of shorelines was utilized for analysis (1852-2018), gaps in shorelines or lack of lidar data in certain areas may mean that not all transects will incorporate every shoreline date in the rate calculations.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
The uncertainty of the linear regression rate is estimated by the elements LR2, LSE and LCI90. See the attribute definition of each for more information.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: Meredith G. Kratzmann
Originator: Emily A. Himmelstoss
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
Geospatial_Data_Presentation_Form: vector digital data
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
Online_Linkage:
Type_of_Source_Media: Digital and/or Hardcopy
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1852
Ending_Date: 2000
Source_Currentness_Reference: ground condition at the time of shoreline survey
Source_Citation_Abbreviation: SC_historical_shorelines
Source_Contribution:
These shorelines were combined with new lidar shorelines for 2010, 2017, and 2018 and used within the Digital Shoreline Analysis System version 5.1 to produce long-term shoreline change rates.
Process_Step:
Process_Description:
Historical shoreline data covering the coast of South Carolina from the previously published National Assessment of Shoreline Change: A GIS compilation of Updated Vector Shorelines and Associated Shoreline Change Data for the Southeast Atlantic Coast (USGS data release, https://doi.org/10.5066/F74X55X7.) were compiled and merged into a single feature class within a personal geodatabase in ArcMap v 10.7.1. The data were projected in ArcToolbox v10.7.1 > Data Management Tools > Projections and Transformations > Feature > Project. Parameters: input projection = geographic coordinates (WGS84); output projection = UTM zone 17N (WGS 84); transformation = none. Historical shoreline data covers date range 1852-2000 and includes one lidar-derived shoreline (2000). See associated source metadata (https://www.sciencebase.gov/catalog/item/58b89084e4b01ccd5500c2ac) in larger work citation for complete process steps for historical shoreline delineation. This process step and all subsequent process steps were performed by the same person - Marie K. Bartlett
Process_Date: 2022
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Marie K. Bartlett
Contact_Organization: U.S. Geological Survey
Contact_Position: Geologist
Contact_Address:
Address_Type: mailing and physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1598
Contact_Voice_Telephone: 508-548-8700 x 2306
Contact_Electronic_Mail_Address: mbartlett@usgs.gov
Process_Step:
Process_Description:
The datum-based, MHW shorelines (see larger work citation, SC_shoreline_2010 and SC_shoreline_2017_2018) and historical shorelines compiled for analysis (SC_historical_shorelines) were confirmed to have the same attribute fields required for use in DSAS before they were merged into a single feature class using Esri's ArcToolbox > Data Management > General > Merge, filename= SC_shorelines. Some shoreline segments from 1962 and 2000, and one segment from 1925 were removed from the dataset prior to analysis because they represented the wrong feature.
Source_Used_Citation_Abbreviation: SC_historical_shorelines
Process_Date: 2022
Process_Step:
Process_Description:
Transect features were generated in a personal geodatabase using DSAS v5.1.2020.0720.0030. Parameters Used: baseline layer= SC_baseline, baseline group field=NULL, shoreline layer= SC_shorelines, transect spacing=50 meters, search distance=1000 meters, land direction=right, shoreline intersection=seaward, File produced = SC_transects_LT. Some transects were manually edited for length, moved, or deleted in an edit session using standard editing tools in the editor toolbar, in ArcMap v10.7.1. For additional details on these parameters, please see the DSAS help file distributed with the DSAS software, or visit the USGS website at:https://www.usgs.gov/centers/whcmsc/science/digital-shoreline-analysis-system-dsas
Process_Date: 2023
Process_Step:
Process_Description:
Long-term rate calculations performed producing rates with and without the proxy-datum bias correction. Parameters Used: Shoreline layer = SC_shorelines, Shoreline date field = Date_, shoreline uncertainty field name = Uncy, default accuracy = 5.1 meters, shoreline intersection = seaward, stats calculations = [LRR], shoreline threshold = 3, confidence interval=90%. Files produced = SC_trans_LT_rates_20230504_120014, SC_trans_LT_intersect_20230504_120014. All shorelines have an uncertainty value listed in the attribute table that provides the horizontal uncertainty associated with the shoreline, regardless of the method used. Uncertainty for historical shorelines (1852-2000) is found in Kratzmann and others, 2017, which is listed as a source citation in this metadata file. The historical shoreline database contains both MHW and HWL shorelines thus a proxy-datum bias (PDB), stored as a line feature class appended to the reference baseline, is applied during rate calculation (see larger work citation, SC_bias_feature). For more information about the origin of the PDB see Ruggiero and List (2009), which is cross-referenced in this metadata file. Rate statistics are presented with and without the PDB correction applied, denoted in the transects/rates attribute table with “NB_” or “No bias”. The bias uncertainty values are stored within the bias feature attribute table.
Process_Date: 2023
Process_Step:
Process_Description:
The rate feature class was exported to shapefiles in ArcMap v10.7.1 by right-clicking the transect layer > data > export data. Coordinate system: UTM Zone 17N (WGS84)
Process_Date: 2023
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: 5595
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Grid_Coordinate_System:
Grid_Coordinate_System_Name: Universal Transverse Mercator
Universal_Transverse_Mercator:
UTM_Zone_Number: 17
Transverse_Mercator:
Scale_Factor_at_Central_Meridian: 0.9996
Longitude_of_Central_Meridian: -81.0
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: meters
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: SC_rates_LT
Entity_Type_Definition:
Rates of long-term shoreline change are calculated by DSAS and stored in the transect file, using the distance measurements between shorelines and baseline at each DSAS transect. These attributes are for long-term shoreline change rates with and without the proxy-datum bias correction applied. The shapefiles will have LT for long-term in filename. Rate calculations without the proxy-datum bias correction applied will have "NB_" In the attribute field title.
Entity_Type_Definition_Source: U.S. Geological Survey (USGS)
Attribute:
Attribute_Label: FID
Attribute_Definition: Internal feature number.
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: Feature geometry. Rates are polyline shapefiles.
Attribute:
Attribute_Label: BaselineID
Attribute_Definition:
Unique identification number of the baseline segment. If BaselineID=0 no transects will be generated. Used by DSAS to determine transect ordering alongshore if multiple baseline segments exist.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 1
Range_Domain_Maximum: 26
Attribute:
Attribute_Label: GroupID
Attribute_Definition:
Optional field to aggregate transects on the basis of physical variations alongshore (for example, tidal inlets, change in coastal type, or hard stabilization features). This value was assigned by the user as an attribute to a baseline segment and results in a group average being reported in the DSAS summary text file.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 1
Range_Domain_Maximum: 26
Attribute:
Attribute_Label: TransOrder
Attribute_Definition:
Assigned by DSAS based on ordering of transects along the baseline. Used to allow user to sort transect data along the baseline from baseline start to baseline end.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 13
Range_Domain_Maximum: 6118
Attribute:
Attribute_Label: Azimuth
Attribute_Definition:
Assigned by DSAS to record the azimuth of the transect measure in degrees clockwise from North. If a transect position has been adjusted during the editing process, the azimuth value in the attribute table is updated automatically.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.06
Range_Domain_Maximum: 360.0
Attribute:
Attribute_Label: ShrCount
Attribute_Definition: Number of shorelines used to compute shoreline change metrics.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 3
Range_Domain_Maximum: 10
Attribute:
Attribute_Label: TCD
Attribute_Definition:
The Total Cumulative Distance (TCD) is the measure in meters along shore from the start of the baseline segment with an ID=1, and measured sequentially alongshore to the end of the final baseline segment.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 700.0
Range_Domain_Maximum: 347749.96
Attribute:
Attribute_Label: SHAPE_Leng
Attribute_Definition: Length of feature in meter units (UTM zone 17N, WGS 84)
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 37.358
Range_Domain_Maximum: 2170.449
Attribute:
Attribute_Label: LRR
Attribute_Definition:
A linear regression rate-of-change statistic was calculated by fitting a least-squares regression line to all shoreline points for a particular transect. Any shoreline points that are referenced to HWL were adjusted by the proxy-datum bias distance (meters) along the transect to correct for the offset between proxy-based HWL and datum-based MHW shorelines. The best-fit regression line is placed so that the sum of the squared residuals (determined by squaring the offset distance of each data point from the regression line and adding the squared residuals together) is minimized. The linear regression rate is the slope of the line. The rate is reported in meters per year with positive values indicating accretion and negative values indicating erosion.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: -17.17
Range_Domain_Maximum: 14.59
Attribute:
Attribute_Label: NB_LRR
Attribute_Definition:
The LRR without the bias correction applied. Decimal values may be positive or negative, which is used to indicate landward (negative) or seaward (positive) direction from baseline origin. Reported in meters per year.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: -17.0
Range_Domain_Maximum: 14.75
Attribute:
Attribute_Label: LR2
Attribute_Definition:
The R-squared statistic, or coefficient of determination, is the percentage of variance in the data that is explained by a regression. It is a dimensionless index that ranges from 1.0 to 0.0 and measures how successfully the best-fit line accounts for variation in the data. The smaller the variability of the residual values around the regression line relative to the overall variability, the better the prediction (and closer the R-squared value is to 1.0).
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.0
Range_Domain_Maximum: 1.0
Attribute:
Attribute_Label: NB_LR2
Attribute_Definition: The LR2 without the bias correction applied.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.0
Range_Domain_Maximum: 1.0
Attribute:
Attribute_Label: LSE
Attribute_Definition:
This quantity is the standard error of the regression, also known as the standard error of the estimate. To calculate it, the distance between each data point and the regression line is calculated. These distances are squared then summed. The sum is divided by the number of data point minus two. The square root is taken of the result. These are positive decimal values in meters.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.4
Range_Domain_Maximum: 665.49
Attribute:
Attribute_Label: NB_LSE
Attribute_Definition: The LSE without the bias correction applied.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.74
Range_Domain_Maximum: 664.45
Attribute:
Attribute_Label: LCI90
Attribute_Definition:
The 90 percent confidence interval (LCI90) is calculated by multiplying the standard error of the slope by the two-tailed test statistic at the user-specified 90 percent confidence. This value is often reported in conjunction with the slope to describe the confidence of the reported rate. For example: LRR = 1.2 and LCI90 = 0.7 could be reported as a rate of 1.2 (+/-) 0.7 meters/year. These are positive decimal values in meters.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.02
Range_Domain_Maximum: 37.3
Attribute:
Attribute_Label: NB_LCI90
Attribute_Definition:
The LCI90 without the bias correction applied. These are positive decimal values in meters.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.02
Range_Domain_Maximum: 36.89
Overview_Description:
Entity_and_Attribute_Overview:
The entity and attribute information provided here describes the tabular data associated with long-term shoreline change rates. Long-term rates incorporate the known unidirectional offset between proxy-based high water line features and datum-based mean high water line features (the proxy-datum bias). Please review the individual attribute descriptions for detailed information. All calculations for length are in meter units and were based on the UTM zone 17N WGS 84 projection.
Entity_and_Attribute_Detail_Citation: U.S. Geological Survey
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: USGS 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 shapefile of South Carolina long-term rates of change (SC_rates_LT.shp and other shapefile components), browse graphic (SC_rates_LT_browse.JPG), and the FGDC CSDGM metadata in XML format.
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 10.7.1
Format_Specification: Esri Polyline Shapefile
Format_Information_Content:
These files (.cpg, .dbf, .prj, .sbn, .sbx, .shp, 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. Additional files of the same name included are FGDC CSDGM-compliant metadata in XML format.
Transfer_Size: 0.29
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information: 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.
Metadata_Reference_Information:
Metadata_Date: 20230815
Metadata_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Marie K. Bartlett
Contact_Organization: U.S. Geological Survey
Contact_Address:
Address_Type: mailing and physical
Address: 384 Woods Hole Rd
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1598
Country: USA
Contact_Voice_Telephone: 508-548-8700 x2306
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.
Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998

This page is <https://cmgds.marine.usgs.gov/catalog/whcmsc/SB_data_release/DR_P9LLAZYE/SC_rates_LT.html>
Generated by mp version 2.9.51 on Fri Aug 18 08:53:16 2023