LongIsland_shorelines.shp - Shorelines of the Long Island coastal region used in shoreline change analysis for the Long Island region from Montauk Point to the entrance of Raritan Bay, New York

Metadata:

• Identification_Information
• Data_Quality_Information
• Spatial_Data_Organization_Information
• Spatial_Reference_Information
• Entity_and_Attribute_Information
• Distribution_Information
• Metadata_Reference_Information

Identification_Information:

Citation:

Citation_Information:

Originator: U.S. Geological Survey

Publication_Date: 2010

Title:

LongIsland_shorelines.shp - Shorelines of the Long Island coastal region used in shoreline change analysis for the Long Island region from Montauk Point to the entrance of Raritan Bay, New York

Geospatial_Data_Presentation_Form: vector digital data

Series_Information:

Series_Name: Open-File Report

Issue_Identification: 2010-1119

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://pubs.usgs.gov/of/2010/1119/>

Larger_Work_Citation:

Citation_Information:

Originator: Emily A. Himmelstoss

Originator: Meredith G. Kratzmann

Originator: Cheryl J. Hapke

Originator: E. Robert Thieler

Originator: Jeffrey List

Publication_Date: 2010

Title:

National Assessment of Shoreline Change: A GIS Compilation of Vector Shorelines and Associated Shoreline Change Data for the New England and Mid-Atlantic Coasts

Series_Information:

Series_Name: Open-File Report

Issue_Identification: 2010-1119

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://pubs.usgs.gov/of/2010/1119/>

Description:

Abstract:

Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate. Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion. As a result, there is an increased demand for accurate information regarding past and present shoreline changes. To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii under the National Assessment of Shoreline Change project.

There is no widely accepted standard for analyzing shoreline change. Existing shoreline data measurements and rate calculation methods vary from study to study and prevent combining results into state-wide or regional assessments. The impetus behind the National Assessment project was to develop a standardized method of measuring changes in shoreline position that is consistent from coast to coast. The goal was to facilitate the process of periodically and systematically updating the results in an internally consistent manner.

Purpose:

This dataset includes shorelines from 39 years ranging from 1830 to 2007 in the Long Island coastal region from Montauk Point to the entrance of Raritan Bay, New York. Shorelines were compiled from T-sheets (National Oceanic and Atmospheric Administration), T-sheets and air photos (New York Sea Grant, New York State Department of State), and lidar (USGS). Historical shoreline positions serve as easily understood features that can be used to describe the movement of beaches through time. These data are used to calculate rates of shoreline change for the U.S. Geological Survey's (USGS) National Assessment Project.

Rates of long-term and short-term shoreline change were generated in a GIS using the Digital Shoreline Analysis System (DSAS) version 4.1. DSAS uses a measurement baseline method to calculate rate-of-change statistics. Transects are cast from the reference baseline to intersect each shoreline, establishing measurement points used to calculate shoreline change rates.

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:

Range_of_Dates/Times:

Beginning_Date: 1830

Ending_Date: 2007

Currentness_Reference: ground condition

Status:

Progress: Complete

Maintenance_and_Update_Frequency: None planned

Spatial_Domain:

Bounding_Coordinates:

West_Bounding_Coordinate: -73.940671

East_Bounding_Coordinate: -71.855865

North_Bounding_Coordinate: 41.085875

South_Bounding_Coordinate: 40.540163

Keywords:

Theme:

Theme_Keyword_Thesaurus: General

Theme_Keyword: Shoreline Change Rate

Theme_Keyword: Linear Regression Rate

Theme_Keyword: Endpoint Rate

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: National Assessment of Shoreline Change Project

Theme_Keyword: National Oceanic and Atmospheric Administration

Theme_Keyword: NOAA

Theme_Keyword: Coastal Services Center

Theme_Keyword: CSC

Theme_Keyword: U.S. Army Corps of Engineers

Theme_Keyword: USACE

Theme_Keyword: New York State Department of State

Theme_Keyword: New York Sea Grant

Theme:

Theme_Keyword_Thesaurus: ISO 19115 Topic Category

Theme_Keyword: oceans

Theme_Keyword: oceans and estuaries

Theme_Keyword: oceans and coastal

Theme_Keyword: environment

Theme_Keyword: geoscientificInformation

Place:

Place_Keyword_Thesaurus: General

Place_Keyword: Atlantic Coast

Place_Keyword: United States

Place_Keyword: Mid Atlantic

Place_Keyword: New York

Place_Keyword: Long Island

Place_Keyword: Montauk

Place_Keyword: East Hampton

Place_Keyword: South Hampton

Place_Keyword: Fire Island

Place_Keyword: Jones Beach

Place_Keyword: Long Beach

Place_Keyword: Rockaway

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_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: 508-547-2310

Native_Data_Set_Environment:

Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.1.1850

Cross_Reference:

Citation_Information:

Originator: Cheryl J. Hapke

Originator: Emily A. Himmelstoss

Originator: Meredith G. Kratzmann

Originator: Jeffrey List

Originator: E. Robert Thieler

Publication_Date: 2010

Title:

National Assessment of Shoreline Change: Historical Shoreline Change along the New England and Mid-Atlantic Coasts

Series_Information:

Series_Name: Open-File Report

Issue_Identification: 2010-1118

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://pubs.usgs.gov/of/2010/1118/>

Cross_Reference:

Citation_Information:

Originator: E.R. Thieler

Originator: E.A. Himmelstoss

Originator: J.L. Zichichi

Originator: A. Ergul

Publication_Date: 2009

Title:

Digital Shoreline Analysis System (DSAS) version 4.0 - An ArcGIS extension for calculating shoreline change

Series_Information:

Series_Name: Open-File Report

Issue_Identification: 2008-1278

Publication_Information:

Publication_Place: Woods Hole Coastal and Marine Science Center, Woods Hole, MA

Publisher: U.S. Geological Survey, Coastal and Marine Geology Program

Other_Citation_Details: Current version of software at time of use was 4.1

Online_Linkage:

<http://woodshole.er.usgs.gov/project-pages/dsas/version4/>

Online_Linkage: <http://woodshole.er.usgs.gov/project-pages/dsas/>

Online_Linkage: <https://pubs.usgs.gov/of/2008/1278/>

Cross_Reference:

Citation_Information:

Originator:

Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Coastal Services Center (CSC)

Publication_Date: Unknown

Title:

1996-2000 NOAA/USGS/NASA Airborne LiDAR Assessment of Coastal Erosion (ALACE) Project for the U.S. Coastline

Publication_Information:

Publication_Place: Charleston, SC

Publisher: NOAA's Ocean Service, Coastal Services Center (CSC)

Other_Citation_Details: <http://www.csc.noaa.gov/ldart>

Cross_Reference:

Citation_Information:

Originator:

National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS)

Publication_Date: Unknown

Title:

Scanned National Ocean Service (NOS) Coastal Survey Maps (also known as Topographic Survey sheets, or T-sheets)

Series_Information:

Series_Name: NOAA shoreline manuscripts (T-sheets)

Publication_Information:

Publication_Place: Washington, D.C.

Publisher: National Oceanic and Atmospheric Administration

Cross_Reference:

Citation_Information:

Originator: New York State Department of State

Publication_Date: Unknown

Title:

Historical shorelines from Coney Island to Rockaway Beach 1877-1983

Publication_Information:

Publication_Place: Albany, New York

Publisher: NY State Department of State, Division of Coastal Resources

Other_Citation_Details:

Much of the data collection was performed by Helen K. Chase and Chih-Chung Kao, as part of their Master's work (2002) at the State University of New York at Albany.

Cross_Reference:

Citation_Information:

Originator: New York Sea Grant

Originator: New York State Department of State

Originator: U.S. Army Corps of Engineers

Publication_Date: Unknown

Title:

Historical shorelines from the Atlantic Coast of New York Erosion Monitoring Program (ACNYMP)

Publication_Information:

Publication_Place: Stony Brook, New York

Publisher: New York Sea Grant Program

Data_Quality_Information:

Attribute_Accuracy:

Attribute_Accuracy_Report:

The data provided here are a compilation of shorelines from multiple sources, spanning 177 years. The attributes are based on the requirements of the Digital Shoreline Analysis System (DSAS) software 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 quality checked for accuracy. Any slight offsets between adjacent segments due to georeferencing and digitizing error are taken into account in the uncertainty calculations included in the corresponding report (U.S. Geological Survey Open-file Report 2010-1118).

Completeness_Report:

This shoreline file is complete and contains all shoreline segments used to calculate shoreline change rates along sections of the Long Island coastal region where shoreline position data were available. 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 or existing data that did not meet quality assurance standards.

Positional_Accuracy:

Horizontal_Positional_Accuracy:

Horizontal_Positional_Accuracy_Report:

Shoreline data have been acquired from 1830 to 2007, the horizontal accuracy of which varies with respect to data source from which the shorelines were digitized, the lidar data from which the shorelines were extracted, and the time period. Shorelines prior to 1950 have an estimated positional uncertainty of plus or minus 10.8 meters. Shorelines from 1960-1980 have an estimated positional uncertainty of plus or minus 5.1 meters. Air photo-derived shorelines from 1990-2000s have an estimated positional uncertainty of plus or minus 3.2 meters. The lidar shoreline from 2000 has an estimated positional uncertainty of plus or minus 2.3 meters. Please visit the 'Uncertainties and Errors' section in the corresponding USGS Open-File Report (<https://pubs.usgs.gov/of/2010/1118>) for a complete explanation of the measurement uncertainties associated with these shorelines.

Lineage:

Process_Step:

Process_Description:

Shoreline data were sought in an effort to compile as many quality shorelines as possible for the region. Digital shorelines, if available from another agency, were acquired. If no digital shorelines were available or if a data set was incomplete, T-sheets were requested from NOAA and received as scanned raster images.

Process_Date: 2008

Process_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Emily Himmelstoss

Contact_Organization: U.S. Geological Survey

Contact_Position: Geologist

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 x2262

Contact_Facsimile_Telephone: 508-457-2310

Contact_Electronic_Mail_Address: ehimmelstoss@usgs.gov

Process_Step:

Process_Description:

T-sheets were geo-registered using ERDAS Imagine geographic imaging software (v.9.3) by placing 10-20 well-spaced ground control points at gridline intersections. Some T-sheets may have required additional coordinate transformation information from NOAA to account for datum offsets between historical datums (USSD) and modern datums (NAD27 or NAD83). Datum transformations were applied to GCP coordinates prior to registration. Total RMS error for the rectification process was maintained below 1 pixel, which translates to approximately 4 meters at a scale of 1:20,000 and 1.5 meters at a scale of 1:10,000.

Process_Date: 2008

Process_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Meredith Kratzmann

Contact_Organization: U.S. Geological Survey

Contact_Position: Contractor

Contact_Address:

Address_Type: mailing address

Address: 384 Woods Hole Road

City: Woods Hole

State_or_Province: MA

Postal_Code: 02543

Country: USA

Contact_Electronic_Mail_Address: mkratzmann@usgs.gov

Process_Step:

Process_Description:

Vector shorelines were digitized from the georegistered T-sheets using standard editing tools in ArcMap v9.3. Quality assessments were performed and shorelines were edited to remove any overlap between adjacent shorelines. No edgematching between adjacent shorelines was attempted.

Process_Date: 2009

Process_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Meredith Kratzmann

Contact_Organization: U.S. Geological Survey

Contact_Position: Contractor

Contact_Address:

Address_Type: mailing address

Address: 384 Woods Hole Road

City: Woods Hole

State_or_Province: MA

Postal_Code: 02543

Country: USA

Contact_Electronic_Mail_Address: mkratzmann@usgs.gov

Process_Step:

Process_Description:

Shorelines were projected in ESRI's ArcToolbox (v.9.3) > Data Management Tools > Projections and Transformations > Feature > Project. Parameters: input projection - geographic (NAD 83); output projection - UTM zone 19N (NAD 83); transformation - none.

Process_Date: 2009

Process_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Emily Himmelstoss

Contact_Organization: U.S. Geological Survey

Contact_Position: Geologist

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 x2262

Contact_Facsimile_Telephone: 508-457-2310

Contact_Electronic_Mail_Address: ehimmelstoss@usgs.gov

Process_Step:

Process_Description:

An operational Mean High Water (MHW) shoreline was extracted from the lidar surveys within Matlab using a method similar to the one developed by Stockdon et al. (2002). Shorelines were extracted from cross-shore profiles which consist of bands of lidar data 2 m wide in the alongshore direction and spaced every 40 m along the coast. For each profile, the seaward sloping foreshore points were identified and a linear regression was fit through them. The regression was evaluated at the operational MHW elevation to yield the cross-shore position of the MHW shoreline. If the MHW elevation was obscured by water points, or if a data gap was present at MHW, the linear regression was simply extrapolated to the operational MHW elevation. A lidar positional uncertainty associated with this point was also computed. The horizontal offset between the datum-based lidar MHW shoreline and the proxy-based historical shorelines nearly always acts in one direction and the "bias" value was computed at each profile (Ruggiero and List, 2009). In addition 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.

Repeating this procedure at successive profiles generated a series of X,Y points that contain a lidar positional uncertainty, a bias, and a bias uncertainty value.

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, n.5, pp.1069-1081.

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, n.3, pp.502-513.

Process_Date: 2009

Process_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Kathryn Weber

Contact_Organization: U.S. Geological Survey

Contact_Position: Geologist

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: kweber@usgs.gov

Process_Step:

Process_Description:

The lidar data were collected in projected coordinates (WGS 84 UTM zone 18N). The series of operational MHW points extracted from the cross-shore lidar profiles were converted to a point feature class within a geodatabase in ArcCatalog by right-mouse clicking the point data file > Create Feature Class > From XY table.

The point feature class was converted to a polyline-M file by connecting adjacent profile points to form a vector shoreline feature using ET GeoWizards > Convert > Point to Polyline Z (M). The lidar profile ID value was stored as the M-value. The lidar vector shoreline was then converted to a route using ArcToolbox v9.3 Linear Referencing Tools > Create Routes. Parameters: Input Line Features = polyline M file; Route Identifier Field = ET_ID (created by ET GeoWizard when constructing polyline-M field), Measure Source = Length, default values for rest. The unique cross-shore profile ID is stored as the M-value at each vertex.

The route was calibrated using ETGeoWizard > LinRef tab > Calibrate routes with points. Parameters: Attribute Field selected, Point layer = original point shapefile, Route ID field = RouteID, Measure Field = ID (lidar profile ID), Input search tolerance = 40, Interpolation between points checked, Recalculate measures using calibration points and shortest path distance between vertices checked, every other option unchecked. The calibration assigns interpolated measure values from the start to the end of the route based on the known profile IDs stored at each vertex. This profile ID is used as the common attribute field between the route file and an uncertainty table (LongIsland_shorelines_uncertainty.dbf) storing the lidar positional uncertainty, the bias correction value, and the uncertainty of the bias correction for each point of the original lidar data.

During the rate calculation process DSAS uses linear referencing to retrieve the uncertainty and bias values stored in the associated table. The calculation of these values is explained in detail in the full report, National Assessment of Shoreline Change for the New England and Mid-Atlantic coasts cross-referenced in this metadata file. Please refer specifically to the methods section titled "The Proxy-Datum Bias Correction between HWL and MHW shorelines".

For a detailed explanation of the method used to convert the lidar shoreline to a route, please refer to "Appendix 2- A case study of complex shoreline data" in the DSAS user guide:

Himmelstoss, E.A. 2009. "DSAS 4.0 Installation Instructions and User Guide" in: Thieler, E.R., Himmelstoss, E.A., Zichichi, J.L., and Ergul, Ayhan. 2009. Digital Shoreline Analysis System (DSAS) version 4.0 - An ArcGIS extension for calculating shoreline change: U.S. Geological Survey Open-File Report 2008-1278. <http://woodshole.er.usgs.gov/project-pages/dsas/version4/images/pdf/DSASv4.pdf>

This process step and all subsequent process steps were performed by the same person - Emily Himmelstoss.

Process_Date: 2009

Process_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Emily Himmelstoss

Contact_Organization: U.S. Geological Survey

Contact_Position: Geologist

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 x2262

Contact_Facsimile_Telephone: 508-457-2310

Contact_Electronic_Mail_Address: ehimmelstoss@usgs.gov

Process_Step:

Process_Description:

Historic shoreline positions were projected in ESRI's ArcToolbox (v.9.3) > Data Management Tools > Projections and Transformations > Feature > Project. Parameters: input projection = UTM zone 19N (NAD 83); output projection = geographic coordinates (WGS84); transformation = NAD_1983_To_WGS_1984_1. Shorelines from all sources were then appended to the lidar route data in ArcToolbox > Data Management Tools > General > Append to produce a single shoreline file for the region. The final shoreline dataset was coded with attribute fields (ID, Date, Quad, Uncertainty (Uncy), Source, and Year). These fields are required for the Digital Shoreline Analysis System (DSAS), which was used to calculate shoreline change rates.

Process_Date: 2009

Process_Step:

Process_Description:

The appended shoreline file and the shoreline uncertainty table (.dbf) were imported into a personal geodatabase in ArcCatalog v9.3 by right-clicking on the geodatabase > Import (feature class for shoreline file and table for uncertainty table) for use with the Digital Shoreline Analysis System (DSAS) v4.1 software to perform rate calculations.

Process_Date: 2009

Process_Step:

Process_Description:

The shoreline feature class was exported from the personal geodatabase back to a shapefile in ArcCatalog v9.3 by right-clicking on the shoreline file > Export > To Shapefile (single) for publication purposes.

Process_Date: 2010

Process_Step:

Process_Description:

The data were projected in ArcToolbox v9.3 > Data Management Tools > Projections and Transformations > Feature > Project. Parameters: input projection = UTM zone 19N (WGS 84); output projection = geographic coordinates (WGS84); transformation = none.

Process_Date: 2010

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: 250

Spatial_Reference_Information:

Horizontal_Coordinate_System_Definition:

Geographic:

Latitude_Resolution: 0.000001

Longitude_Resolution: 0.000001

Geographic_Coordinate_Units: Decimal degrees

Geodetic_Model:

Horizontal_Datum_Name: D_WGS_1984

Ellipsoid_Name: WGS_1984

Semi-major_Axis: 6378137.000000

Denominator_of_Flattening_Ratio: 298.257224

Entity_and_Attribute_Information:

Detailed_Description:

Entity_Type:

Entity_Type_Label: LongIsland_shorelines

Entity_Type_Definition: Vector shorelines

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: RouteID

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 (LongIsland_shorelines_uncertainty.dbf).

Attribute_Definition_Source: USGS

Attribute_Domain_Values:

Enumerated_Domain:

Enumerated_Domain_Value: 0

Enumerated_Domain_Value_Definition:

Short integer field where zeros are "no data" and automatically filled in for the remaining shoreline polylines not derived from lidar.

Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey

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: USGS

Attribute_Domain_Values:

Unrepresentable_Domain: Character string of length 10

Attribute:

Attribute_Label: Uncy

Attribute_Definition:

Estimate of shoreline position uncertainty. Actual shoreline position is within the range of this value (plus or minus, meters). The uncertainty was determined by Equation 2 in USGS Open-File Report (OFR) 2010-1118 (cross-referenced in this metadata file). The historic shoreline uncertainty values contain all of the measurement errors listed in Table 5 of OFR 2010-1118, except for the uncertainty of the High Water Line (HWL). The HWL uncertainty listed in Table 5 was averaged for the entire study region. However, the uncertainty of the HWL at an individual transect can be determined with more precision along the shoreline route. The HWL uncertainty was added to the historic shoreline uncertainty stored in the shoreline attribute table during the DSAS rate calculation process to better account for uncertainty at individual transects alongshore as opposed to using a regionally averaged value. This was done using linear referencing that interpolates a value based on data stored in the shoreline_uncertainty dBase file (.dbf) at a specific transect/shoreline intersect alongshore. The lidar shoreline position uncertainty is also stored in the associated shoreline_uncertainty.dbf file and values are interpolated at specific transect/shoreline intersections using the same linear referencing method. The lidar uncertainty attribute field was filled with null values while residing in the geodatabase. Upon exporting the shoreline feature class to a shapefile for publication, the null values in the lidar uncertainty field were automatically converted to zero values.

Attribute_Definition_Source: USGS

Attribute_Domain_Values:

Enumerated_Domain:

Enumerated_Domain_Value: 0

Enumerated_Domain_Value_Definition:

Short integer field where zeros are "no data" and automatically filled in for the remaining shoreline polylines not derived from lidar.

Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey

Attribute:

Attribute_Label: Source

Attribute_Definition:

Agency that provided shoreline feature or the data source used (e.g. T-sheet) to digitize shoreline feature.

Attribute_Definition_Source: USGS

Attribute:

Attribute_Label: Shape_Leng

Attribute_Definition: Length of feature in meters units (UTM zone 18N, WGS 84)

Attribute_Definition_Source: ESRI

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 20.017372

Range_Domain_Maximum: 52123.624427

Attribute:

Attribute_Label: Year_

Attribute_Definition: Four digit year of shoreline

Attribute_Definition_Source: USGS

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 1830

Range_Domain_Maximum: 2007

Attribute:

Attribute_Label: Default_D

Attribute_Definition:

Differentiates between shorelines that have known month and day attributes and those that use the default value of 07/01 when only the year is known.

Attribute_Definition_Source: USGS

Attribute_Domain_Values:

Enumerated_Domain:

Enumerated_Domain_Value: 0

Enumerated_Domain_Value_Definition: Shoreline month and day are known.

Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey

Enumerated_Domain:

Enumerated_Domain_Value: 1

Enumerated_Domain_Value_Definition:

Shoreline month and day are unknown and default value of 07/01 was used.

Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey

Distribution_Information:

Distributor:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: U.S. Geological Survey

Contact_Address:

Address_Type: mailing and physical address

Address: Woods Hole Coastal and Marine Science Center

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: 508-547-2310

Resource_Description: Downloadable Data: USGS Open-File Report 2010-1119

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: WinZip

Format_Version_Number: 9.0

Format_Specification: ESRI polyline shapefile

Format_Information_Content:

This WinZip file contains a shapefile of historic shorelines from 1830 to 2007 for the sandy shorelines of Long Island from Montauk Point to Breezy Point, New York.

File_Decompression_Technique: Use WinZip or pkUnzip

Digital_Transfer_Option:

Online_Option:

Computer_Contact_Information:

Network_Address:

Network_Resource_Name:

<https://pubs.usgs.gov/of/2010/1119/data/LongIsland_shorelines.zip>

Access_Instructions: Data are downloadable via the World Wide Web (WWW).

Fees: None

Technical_Prerequisites:

This zip file contains data available in Environmental Systems Research Institute (ESRI) polyline shapefile format. The user must have ArcGIS or ArcView 3.0 or greater software to read and process the data file. In lieu of ArcView or ArcGIS, the user may utilize another GIS application package capable of importing the data. A free data viewer, ArcExplorer, capable of displaying the data is available from ESRI at www.esri.com.

Metadata_Reference_Information:

Metadata_Date: 20100607

Metadata_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Emily Himmelstoss

Contact_Organization: U.S. Geological Survey

Contact_Position: Geologist

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 x2262

Contact_Facsimile_Telephone: 508-547-2310

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