2013-2014 profile-derived mean high water shorelines of the South Shore of MA used in shoreline change analysis

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Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: 2018
Title:
2013-2014 profile-derived mean high water shorelines of the South Shore of MA used in shoreline change analysis
Edition: 1.0
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P9O7S72B
Publication_Information:
Publication_Place: Woods Hole Coastal and Marine Science Center, Woods Hole, MA
Publisher: U.S. Geological Survey, Coastal and Marine Geology Program
Online_Linkage: https://doi.org/10.5066/P9O7S72B
Online_Linkage: Larger_Work_Citation:
Citation_Information:
Originator: Emily A. Himmelstoss
Originator: Amy S. Farris
Originator: Kathryn M. Weber
Publication_Date: 2018
Title:
Massachusetts Shoreline Change Project: A GIS Compilation of Vector Shorelines for the 2018 update
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P9O7S72B
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Suggested citation: Himmelstoss, E.A., Farris, A.S., and Weber, K.M., 2018, Massachusetts shoreline change project—A GIS compilation of vector shorelines for the 2018 update: U.S. Geological Survey data release, https://doi.org/10.5066/P9O7S72B.
Online_Linkage: https://doi.org/10.5066/P9O7S72B
Online_Linkage:
Description:
Abstract:
The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. The shoreline position and change rate are used to inform management decisions regarding the erosion of coastal resources. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates at 40-meter intervals along ocean-facing sections of the Massachusetts coast. In 2013 two oceanfront shorelines for Massachusetts were added using 2008-2009 color aerial orthoimagery and 2007 topographic lidar datasets obtained from NOAA's Ocean Service, Coastal Services Center.
This 2018 update includes two new mean high water (MHW) shorelines for the Massachusetts coast extracted from lidar data collected between 2010-2014. The first new shoreline for the state includes data from 2010 along the North Shore and South Coast from lidar data collected by the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX). Shorelines along the South Shore and Outer Cape are from 2011 lidar data collected by the U.S. Geological Survey's (USGS) National Geospatial Program Office. Shorelines along Nantucket and Martha’s Vineyard are from a 2012 U.S. Army Corps of Engineers Post Sandy Topographic lidar survey. The second new shoreline for the North Shore, Boston, South Shore, Cape Cod Bay, Outer Cape, South Cape, Nantucket, Martha’s Vineyard, and South Coast west of Buzzards Bay is from 2013-2014 lidar data collected by the U.S. Geological Survey's (USGS) Coastal and Marine Geology Program. Shorelines were extracted from these lidar surveys using several different methods dependent on the location of the shoreline and whether or not wave data were available.
Purpose:
Shoreline positions serve as easily understood features that can be used to describe the movement of beaches through time. This particular shoreline dataset is a mean high water (MHW) datum-based shoreline extracted using a profile method. These data are used in conjunction with other shoreline files to calculate rates of shoreline change. Associated with this dataset is an uncertainty table that quantifies the measurement and positional errors associated with this shoreline, a proxy-datum bias value that corrects for the unidirectional offset between the mean high water (MHW) elevation of this dataset and other historical high water line (HWL) shoreline positions at this location, and a measurement uncertainty in the total water level. See the first process step for essential information to understand these data and other shoreline change related data.
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.
When this datum-based MHW shoreline is compared to historical proxy-based high water line (HWL) shorelines (e.g., when calculating shoreline change rates), the result may be affected by an offset between the two types of shorelines. Ruggiero and List (2009, citation in second process step of this metadata file) showed that for open-ocean sandy beaches, historical, proxy-based HWL shorelines tend to be landward of datum-based MHW shorelines. This is a known unidirectional offset between proxy-based and datum-based shoreline features. This shoreline data has an associated uncertainty table that quantifies the measurement and positional errors associated with this datum-based MHW lidar shoreline as well as the offset between the MHW elevation of the lidar and the historical HWL shorelines. The dataset contains a common attribute with the M-values stored for the lidar data within the SouthShore_pShoreline_uncertainty.dbf. These data are used in conjunction with the shoreline files to calculate rates of shoreline change.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20131209
Ending_Date: 20140410
Currentness_Reference: Ground condition of the data these shorelines are based on.
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -70.8828788
East_Bounding_Coordinate: -70.27291405
North_Bounding_Coordinate: 42.30956215
South_Bounding_Coordinate: 41.72377575
Keywords:
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: geoscientificInformation
Theme_Keyword: oceans
Theme_Keyword: environment
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: USGS
Theme_Keyword: U.S. Geological Survey
Theme_Keyword: Coastal and Marine Geology Program
Theme_Keyword: Woods Hole Coastal and Marine Science Center
Theme_Keyword: WHCMSC
Theme_Keyword: Massachusetts Coastal Zone Management
Theme_Keyword: MA CZM
Theme_Keyword: National Assessment of Shoreline Change Project
Theme_Keyword: Massachusetts Shoreline Change Project
Theme_Keyword: DSAS
Theme_Keyword: Digital Shoreline Analysis System
Theme_Keyword: Shoreline
Theme_Keyword: Shoreline Change
Theme_Keyword: Mean High Water
Theme_Keyword: MHW
Theme_Keyword: Geospatial datasets
Theme:
Theme_Keyword_Thesaurus: USGS thesaurus
Theme_Keyword: coastal processes
Theme_Keyword: geospatial datasets
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: United States
Place_Keyword: Atlantic Coast
Place_Keyword: New England
Place_Keyword: Massachusetts
Place_Keyword: South Shore
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.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: Emily A. Himmelstoss
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 x 2262
Contact_Facsimile_Telephone: 508-547-2310
Contact_Electronic_Mail_Address: ehimmelstoss@usgs.gov
Browse_Graphic:
Browse_Graphic_File_Name: Browse_Graphic_File_Description: Map view of data
Browse_Graphic_File_Type: PNG
Native_Data_Set_Environment:
Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.5.0.6491
Cross_Reference:
Citation_Information:
Originator: E.R. Thieler
Originator: T.L. Smith
Originator: J.M. Knisel
Originator: D.M. Sampson
Publication_Date: 2013
Title:
Massachusetts Shoreline Change Mapping and Analysis Project, 2013 Update
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2012-1189
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://pubs.usgs.gov/of/2012/1189/
Cross_Reference:
Citation_Information:
Originator: Theresa L. Smith
Originator: Emily A. Himmelstoss
Originator: E. Robert Thieler
Publication_Date: 2013
Title:
Massachusetts Shoreline Change Project: A GIS Compilation of Vector Shorelines and Associated Shoreline Change Data for the 2013 update
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2012-1183
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://pubs.usgs.gov/of/2012/1183/
Cross_Reference:
Citation_Information:
Originator: E. Robert Thieler
Originator: James F. O'Connell
Originator: Courtney A. Schupp
Publication_Date: 2001
Title:
The Massachusetts Shoreline Change Project: 1800s to 1994 Technical Report
Publication_Information:
Publication_Place: Woods Hole Coastal and Marine Science Center, Woods Hole, MA
Publisher: U.S. Geological Survey
Online_Linkage: Online_Linkage:
Cross_Reference:
Citation_Information:
Originator: Emily A. Himmelstoss
Originator: Meredith G. Kratzmann
Originator: Cheryl J. Hapke
Originator: E. Robert Thieler
Originator: Jeffrey List
Publication_Date: 20110119
Title:
The National Assessment of Shoreline Change: A GIS Compilation of Vector Shorelines and Associated Shoreline Change Data for the New England and Mid-Atlantic Coasts
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2010-1119
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://pubs.usgs.gov/of/2010/1119/
Cross_Reference:
Citation_Information:
Originator: Kathryn M. Weber
Originator: Jeffrey List
Originator: Karen L.M. Morgan
Publication_Date: 2005
Title:
An operational mean high water datum for determination of shoreline position from topographic Lidar data
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2005-1027
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://pubs.usgs.gov/of/2005/1027/
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 5.0): U.S. Geological Survey software
Series_Information:
Series_Name: softward release
Issue_Identification: version 5.0
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.5066/P91MNNSN
Online_Linkage: https://code.usgs.gov/usgs/dsas/
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
The attributes are based on the requirements of the Digital Shoreline Analysis System (DSAS) software (please refer to cross reference for citation) and have gone through a series of quality assurance procedures.
Logical_Consistency_Report:
Adjacent shoreline segments do not overlap and are not necessarily continuous. Shorelines were visually assessed in map view to verify that no erroneous data were included.
Completeness_Report:
Although not a continuous shoreline for the entire South Shore of Massachusetts (Boston to Cape Cod), this shoreline file is complete and contains all shoreline segments of the Massachusetts South Shore where shoreline position data could be extracted using this method. These data adequately represented the shoreline position at the time of the survey. Remaining gaps in these data, if applicable, are a consequence of non-existing data, existing data that did not meet quality assurance standards, or where shorelines were derived by a different method. Due to a limitation in the existing workflow, the uncertainty is tied to the most recent lidar shoreline through linear referencing. Therefore in areas where the most recent lidar shoreline could not be resolved, there will be no uncertainty at that location.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
Each MHW shoreline point extracted using the profile method has an uncertainty associated with it. This uncertainty includes three components:
1) the 95% confidence interval on the linear regression estimate of the shoreline position;
2) the uncertainty associated with the elevation of the raw lidar data (this vertical uncertainty was converted to a horizontal uncertainty using the beach slope); and
3) the uncertainty due to extrapolation if the shoreline point was determined by extrapolation.
These three components of uncertainty were then added in quadrature, yielding a total error for each shoreline point which is stored in the shoreline_uncertainty.dbf file associated with these data. Averaging these points for this region results in a positional uncertainty of plus or minus 2.03 meters.
Along with the uncertainty associated with shorelines extracted using this method, there is also a horizontal offset between the datum-based lidar MHW shoreline and the proxy-based historical shorelines such as those derived from NOAA t-sheets and aerial photos. This offset nearly always acts in one direction and these uncertainties and offsets are accounted for in the related uncertainty table.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator:
Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office for Coastal Management (OCM)
Originator: Woolpert
Publication_Date: 20150615
Title:
2013-2014 U.S. Geological Survey CMGP LiDAR: Post Sandy (MA, NH, RI)
Geospatial_Data_Presentation_Form: tabular digital data
Publication_Information:
Publication_Place: Charleston, SC
Publisher: NOAA's Ocean Service, Office for Coastal Management (OCM)
Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4914
Online_Linkage: https://coast.noaa.gov/htdata/lidar1_z/geoid12b/data/4914
Online_Linkage: https://coast.noaa.gov/dataviewer
Online_Linkage:
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20131116
Ending_Date: 20141227
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: 2013-2014 lidar
Source_Contribution:
The bare earth point cloud data in LAS format were used to extract shorelines using methods described in the process steps. Using the cart method to download the data, the data were downloaded in the UTM Zone 19 projection with the NAD83 horizontal datum and NAVD88 vertical datum with horizontal and vertical units in meters.
Process_Step:
Process_Description:
Explanation of the methods used to delineate shoreline features that are a part of this update for the Massachusetts Office of Coastal Zone Management Shoreline Change Project:
This data release has two methods of shoreline extraction: the profile method and the contour method. The profile method is further broken down into two varieties: shorelines that are extracted along open-ocean coasts and those that are sheltered.
Profile open-ocean coast (bias): datum-based mean high water (MHW) shoreline. The elevation of MHW was obtained from Weber and others (2005). These data have an associated uncertainty table that provides the horizontal uncertainty associated with the shoreline, a proxy-datum bias value describing the unidirectional horizontal offset between the MHW shoreline and the historical proxy-based high water line (HWL) shorelines, and the uncertainty associated with the calculated proxy-datum bias value. These shorelines are polyline-M shapefiles.
Profile not open-ocean (no bias): datum-based mean high water (MHW) shoreline. Since Weber and others (2005) only covers open-ocean coast, all MHW elevations for these data come from NOAA's vdatum (version 3.8; https://vdatum.noaa.gov/). These data have an associated uncertainty table that provides the horizontal uncertainty associated with the shoreline. These shorelines are polyline-M shapefiles.
Contour method: this method is used along sections of the coast that were too crenulated for the profile method. The elevation of MHW was used from Weber and others, 2005 when available. In areas not covered by Weber and others (2005), NOAA's vdatum (version 3.8; https://vdatum.noaa.gov/) is used to determine MHW. Once this value is determined, the contour line of that value is extracted from the DEM surface in the area of interest. These shorelines are polyline shapefiles.
Not included in this data release is another method of shoreline delineation. A brief explanation of this method is provided to convey the importance of the information contained in the uncertainty tables, even if that information is not actively used in all cases in this data release.
Proxy-based historical shorelines: Vector shorelines digitized from georegistered T-sheets using standard editing tools in ArcMap provide a proxy-based high water line (HWL) feature that is not tidally-referenced. Individually these shorelines are stored as polyline shapefiles. In previous analyses (see Himmelstoss and others, 2011 listed in cross references) these data were published as a merged file with profile method data extracted from lidar. Therefore the published data are all polyline-M, but the historic HWL shorelines contain no linear referencing. Visually identified HWL-type proxy shorelines are virtually never coincident with datum-based MHW-type shorelines. In fact, HWL shorelines are almost universally estimated to be higher (landward) on the beach profile than MHW shorelines. Not accounting for this offset will cause shoreline change rates to be biased toward slower shoreline retreat, progradation rather than retreat, or faster progradation than in reality (for the typical case where datum-based MHW shorelines are more recent data than the proxy-based HWL shoreline dates).
The Digital Shoreline Analysis System software used to compute rates detects when proxy-based and datum-based shorelines are present and uses linear referencing to retrieve the information on bias and uncertainty stored in the DBF table associated with the profile method shorelines and correct for the proxy-datum bias offset.
Process_Date: 2016
Process_Step:
Process_Description:
Whenever possible, a profile method was used to extract the operational Mean High Water (MHW) shoreline from the lidar point cloud data, using a Matlab-based approach (Matlab version 2015b was used) similar to the one developed by Stockdon and others (2002). Elevation values for the height of MHW were determined from vdatum (version 3.8) provided by NOAA (https://vdatum.noaa.gov/). We continued the practice set out by Weber and others, (2005) of using one MHW value for a continuous section of coast (as opposed to using a continuously varying value). We chose this value such that it is always within 15 cm of the value returned by vdatum at any point along the coast. For example, we used MHW = 0.6 m for all of Buzzards Bay even though vdatum shows it varying slightly over the basin. For the shorelines of the South Shore of Massachusetts, we used an average MHW elevation of 1.22 meters. This profile method uses a coast-following reference line with 20 m spaced profiles. All lidar data points that are within 1 m of each profile are associated with that profile. All work is done on the 2 m wide profiles, working on a single profile at a time.
For each profile, a linear regression was fit through data points on the foreshore and the regression was evaluated at the MHW elevation to yield the cross-shore position of the MHW shoreline. If there was a data gap at MHW or if the MHW elevation was obscured by water points, the linear regression was simply extrapolated to the MHW elevation. Foreshore beach slope is defined as the slope of the regression line.
Each MHW shoreline point that was extracted using this profile method has an uncertainty associated with it. This uncertainty includes three components: 1) the 95% confidence interval on the linear regression estimate of the shoreline position; 2) the uncertainty associated with the elevation of the raw lidar data and; 3)the uncertainty due to extrapolation. These three components of uncertainty were added in quadrature to yield a total error for each shoreline point. For details on each component, see pp.12-13 under the section titled Lidar-Derived MHW Shoreline Position Uncertainty in Hapke and others (2011).
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). Wave data from offshore buoys is used with the beach slope in a run-up equation to estimate a proxy-datum bias correction to reconcile the unidirectional offset that the proxy-based historic High Water Line (HWL) shorelines, such as those derived from NOAA t-sheets or air photos, have in relationship to the lidar-derived, datum-based operational MHW line. An uncertainty associated with the bias was also computed, which can also be thought of as the uncertainty of the HWL shorelines due to water level fluctuations. For details on the proxy-datum bias and bias uncertainty, see pp.9-11 under the section titled The Proxy-Datum Bias Correction between HWL and MHW Shorelines in Hapke and others (2011).
Hapke, C.J., Himmelstoss, E.A., Kratzmann, M.G., List, J.H., and Thieler, E.R., 2011, National assessment of shoreline change—Historical shoreline change along the New England and Mid-Atlantic coasts: U.S. Geological Survey Open-File Report 2010-1118, 57 p., https://pubs.usgs.gov/of/2010/1118/.
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: 2016
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Amy S. Farris
Contact_Organization: U.S. Geological Survey
Contact_Position: Oceanographer
Contact_Address:
Address_Type: Mailing and Physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543
Contact_Voice_Telephone: 508-548-8700 x 2344
Contact_Electronic_Mail_Address: afarris@usgs.gov
Process_Step:
Process_Description:
The series of points representing the shoreline were converted into a calibrated route shapefile for use in ArcGIS using a Python script (for Python v2.7.12). The script generates a point shapefile, converts it to a polyline-M file, saves the uncertainty information in an accessory dBase (.dbf) file and finally generates a calibrated route for the newly-created polyline-M file. Calibration is based on the unique and sequential profile ID value provided with the point data and stored as the M-value. This value is also stored as an attribute in the uncertainty .dbf file and is used as the common attribute field linking the shoreline route file (filename_pshoreline.shp) to the uncertainty table (filename_pshoreline_uncertainty.dbf where filename indicates the area of work, such as MarthasVineyard and the p indicates the profile method) storing the lidar positional uncertainty.
This process step and all subsequent process steps, unless otherwise noted, were performed by the same person - Emily Himmelstoss.
Process_Date: 2016
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Emily A. Himmelstoss
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
Contact_Voice_Telephone: 508-457-8700 x2262
Contact_Electronic_Mail_Address: ehimmelstoss@usgs.gov
Process_Step:
Process_Description:
The shorelines shapefile was projected in Esri's ArcToolbox (v.10.5) > Data Management Tools > Projections and Transformations > Feature > Project.
Parameters: input projection – NAD 83 UTM 19N; output projection - geographic coordinates (WGS 84); transformation - WGS_1984_To_NAD_1983_1.
Process_Date: 2018
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: 66
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Geographic:
Latitude_Resolution: 0.0197395914
Longitude_Resolution: 0.0264410987
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: SouthShore_pShoreline_2013_14.shp
Entity_Type_Definition:
Table containing attribute information associated with the data set.
Entity_Type_Definition_Source: U.S. Geological Survey
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: Coordinates defining the features.
Attribute:
Attribute_Label: Route_ID
Attribute_Definition:
Route identification value assigned to individual lidar shoreline line segments. A unique cross-shore profile identification value is stored at each vertex of the lidar route and serves as a common attribute to the shoreline uncertainty table SouthShore_pShoreline_uncertainty.dbf.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 1
Range_Domain_Maximum: 85
Attribute:
Attribute_Label: Date_
Attribute_Definition:
Date of shoreline position; date of survey as indicated on source material. A default date of 07/01 was assigned to shorelines where only the year was known (month and day unknown). Using July, the mid-point month of the calendar year, minimizes the potential offset to the actual shoreline date by a maximum of six months.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Unrepresentable_Domain: Date of the shoreline in mm/dd/yyyy
Attribute:
Attribute_Label: Source
Attribute_Definition:
Agency that provided shoreline feature or the data source used to digitize shoreline feature.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: lidar-USGS
Enumerated_Domain_Value_Definition: The data was derived from lidar by the U.S. Geological Survey.
Enumerated_Domain_Value_Definition_Source: USGS
Attribute:
Attribute_Label: Source_b
Attribute_Definition:
Method of deriving shoreline feature. These shorelines were all extracted via the same profile method, but when combined with other data for shoreline analysis this field preserves the method used to derive the shoreline.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: profile
Enumerated_Domain_Value_Definition:
The mean high water shoreline was extracted from lidar data using a profile method.
Enumerated_Domain_Value_Definition_Source: USGS
Attribute:
Attribute_Label: ATTRIBUTE
Attribute_Definition: The vertical shoreline reference.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: MHW
Enumerated_Domain_Value_Definition: mean high water - a datum-based reference
Enumerated_Domain_Value_Definition_Source: USGS
Attribute:
Attribute_Label: Year_
Attribute_Definition: Four digit year of shoreline.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 2013
Enumerated_Domain_Value_Definition:
The calendar year of the source data from which the shoreline feature was extracted.
Enumerated_Domain_Value_Definition_Source: USGS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 2014
Enumerated_Domain_Value_Definition:
The calendar year of the source data from which the shoreline feature was extracted.
Enumerated_Domain_Value_Definition_Source: USGS
Attribute:
Attribute_Label: Default_D
Attribute_Definition:
In historical shoreline data the exact month and day of a shoreline are unknown. This field is used to indicate when a default month and day are used. It does not apply to this dataset, but is preserved for merging this shoreline feature with other historic shoreline data for change analysis.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 0
Enumerated_Domain_Value_Definition: False. No default month and day were used.
Enumerated_Domain_Value_Definition_Source: USGS
Attribute:
Attribute_Label: Uncy
Attribute_Definition:
The estimate of shoreline position uncertainty for these data. A zero value indicates the uncertainty is stored in the associated uncertainty database file (SouthShore_pShoreline_uncertainty.dbf) This field is only preserved for shoreline change analysis. The shoreline change software (DSAS) uses linear referencing to interpolate an uncertainty value at the measurement location along the shoreline based on data stored in the uncertainty file.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 0.0
Enumerated_Domain_Value_Definition:
Place holder in field. Actual values are stored in separate table.
Enumerated_Domain_Value_Definition_Source: USGS
Attribute:
Attribute_Label: Shape_Leng
Attribute_Definition:
Length of shoreline in meter units (WGS84, UTM zone 19N)calculated via XTools Pro (v.16.1.2431).
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 20.028514
Range_Domain_Maximum: 11281.311432
Attribute_Units_of_Measure: meters
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey - ScienceBase
Contact_Address:
Address_Type: mailing and physical address
Address: Federal Center, Building 810, MS 302
City: Denver
State_or_Province: CO
Postal_Code: 80225
Country: USA
Contact_Voice_Telephone: 1-888-275-8747
Contact_Electronic_Mail_Address: sciencebase@usgs.gov
Resource_Description:
The dataset contains the polyline shapefile of shoreline data derived from a profile method, (SouthShore_pShoreline_2013_14.shp and other shapefile components), browse graphic (SouthShore_pShoreline_2013_14_browse), and the FGDC CSDGM metadata in XML and TEXT 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. 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 10.5.1
Format_Information_Content:
The dataset contains the polyline-M shapefile, browse graphic, and CSDGM metadata.
Transfer_Size: 1
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information: Access_Instructions:
The first link is to the page containing the data. The second is a direct link to download all data available from the page as a zip file. And the final link is to the publication landing page.
Fees: None.
Technical_Prerequisites:
These data are available in a polyline-M shapefile format. The user must have software to read and process the data components of a shapefile.
Metadata_Reference_Information:
Metadata_Date: 20181030
Metadata_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Emily A. Himmelstoss
Contact_Organization: U.S. Geological Survey
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 x 2262
Contact_Facsimile_Telephone: 508-457-2310
Contact_Electronic_Mail_Address: ehimmelstoss@usgs.gov
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/data_release/DR_P9O7S72B/SouthShore_pShoreline_2013_14.shp.html>
Generated by mp version 2.9.49 on Tue Oct 1 11:21:30 2019