2016 NOAA Mean High Water Shorelines of the Puerto Rico coast used in Shoreline Change Analysis

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Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Julia L. Heslin
Originator: Rachel E. Henderson
Originator: Emily A. Himmelstoss
Publication_Date: 20211119
Title:
2016 NOAA Mean High Water Shorelines of the Puerto Rico coast used in Shoreline Change Analysis
Edition: 1
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P9AZYW74
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/P9AZYW74
Online_Linkage: Larger_Work_Citation:
Citation_Information:
Originator: Julia L. Heslin
Originator: Rachel E. Henderson
Originator: Emily A. Himmelstoss
Publication_Date: 2021
Title:
A GIS Compilation of Vector Shorelines for Puerto Rico from 2015 to 2018
Edition: 1
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P9AZYW74
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Suggested citation: Heslin, J.L., Henderson, R.E., and Himmelstoss, E.A., 2021, A GIS compilation of vector shorelines for Puerto Rico from 2015 to 2018: U.S. Geological Survey data release, https://doi.org/10.5066/P9AZYW74.
Online_Linkage: https://doi.org/10.5066/P9AZYW74
Online_Linkage:
Description:
Abstract:
The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photos or topographic surveys, as well as contemporary sources like lidar point clouds and digital elevation models (DEMs). These shorelines are compiled and analyzed in the Digital Shoreline Analysis System (DSAS) software to compute rates of change. It is useful to keep a record of historical shoreline positions as a method of monitoring change over time to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable. This data release and other associated products represent an expansion of the USGS national-scale shoreline database to include Puerto Rico and its islands, Vieques and Culebra. The United States Geological Survey (USGS) in cooperation with the Coastal Research and Planning Institute of Puerto Rico (CoRePI, part of the Graduate School of Planning at the University of Puerto Rico, Rio Piedras Campus) has derived and compiled a database of historical shoreline positions using a variety of methods. These shorelines are used to measure the rate of shoreline change over time.
Purpose:
This shoreline dataset is a mean high water (MHW) datum-based shoreline extracted using a contour method (Farris and others 2018). These data are used in conjunction with other shoreline files to calculate rates of shoreline change.
Supplemental_Information:
Described in Farris and others (2018), the contour method extracts the elevation of average MHW value from DEM data using ArcMap tool Contour List with the MHW value chosen for the contour. The resulting shorelines are polyline shapefiles. 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: 20150503
Ending_Date: 20160329
Currentness_Reference: ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -66.9657
East_Bounding_Coordinate: -65.2211
North_Bounding_Coordinate: 18.4943
South_Bounding_Coordinate: 17.9269
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: Puerto Rico Shoreline Change
Theme_Keyword: University of Puerto Rico
Theme_Keyword: University of Puerto Rico Graduate School of Planning
Theme_Keyword: Coastal Research and Planning Institute of Puerto Rico
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:
Theme_Keyword_Thesaurus: USGS thesaurus
Theme_Keyword: coastal processes
Theme_Keyword: geospatial datasets
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:613b7fa4d34e40dd9c0f9677
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: United States
Place_Keyword: Atlantic Coast
Place_Keyword: Caribbean
Place_Keyword: Puerto Rico
Place_Keyword: Culebra
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: Rachel E. Henderson
Contact_Address:
Address_Type: mailing and physical address
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1598
Country: USA
Contact_Voice_Telephone: 508-548-8700
Contact_Electronic_Mail_Address: rehenderson@contractor.usgs.gov
Browse_Graphic:
Browse_Graphic_File_Name: Browse_Graphic_File_Description:
Map of the NOAA/NGS 2016 MHW shoreline (shown in green) extracted from lidar data, with the extent of lidar coverage highlighted in red.
Browse_Graphic_File_Type: JPEG
Native_Data_Set_Environment: Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.0.8321
Cross_Reference:
Citation_Information:
Originator: Kathryn M. Weber
Originator: Jeffrey H. 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
Geospatial_Data_Presentation_Form: document
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://doi.org/10.3133/ofr20051027
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
Edition: 5
Geospatial_Data_Presentation_Form: application/service
Series_Information:
Series_Name: software release
Issue_Identification: version 5.0
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.3133/ofr20181179
Online_Linkage: https://code.usgs.gov/cch/dsas
Cross_Reference:
Citation_Information:
Originator: Amy S. Farris
Originator: Kathryn M. Weber
Originator: Kara S. Doran
Originator: Jeffrey H. List
Publication_Date: 2018
Title:
Comparing Methods Used by the U.S. Geological Survey Coastal and Marine Geology Program for Deriving Shoreline Position from Lidar Data
Geospatial_Data_Presentation_Form: document
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2018-1121
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.3133/ofr20181121
Online_Linkage: https://pubs.usgs.gov/of/2018/1121/
Cross_Reference:
Citation_Information:
Originator: Julia L. Heslin
Originator: Rachel E. Henderson
Originator: Emily A. Himmelstoss
Publication_Date: 20211101
Title: Historical Shorelines for Puerto Rico for 1901 from 1987
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.5066/P9CLXCEG
Online_Linkage:
Cross_Reference:
Citation_Information:
Originator: Loderay Bracero-Marrero
Originator: Maritza Barreto-Orta
Originator: Nias Hernández-Montcourt
Originator: Ruben Maldonado-González
Originator: Emily A. Himmelstoss
Originator: Julia L. Heslin
Publication_Date: 20211101
Title:
A GIS Compilation of Vector Shorelines and Shoreline Classification for Puerto Rico from 1970 and 2010
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: data release
Issue_Identification: https://doi.org/10.5066/P9SEUAHC
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.5066/P9SEUAHC
Online_Linkage:
Cross_Reference:
Citation_Information:
Originator: Julia L. Heslin
Originator: Rachel E. Henderson
Originator: Emily A. Himmelstoss
Publication_Date: 20211101
Title:
Puerto Rico Shoreline Change: A GIS Compilation of Shorelines, Baselines, Intersects, and Change Rates using the Digital Shoreline Analysis System version 5.1
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.5066/P9FNRRN0
Online_Linkage:
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.
Logical_Consistency_Report:
Adjacent shoreline segments do not overlap and are not necessarily continuous. Shorelines were displayed on top of Esri World Imagery in map view to verify that no erroneous data were included. Shorelines located near the no data extent of the elevation dataset were removed as well.
Completeness_Report:
Although not a continuous shoreline for Puerto Rico, this shoreline file is complete and contains all shoreline segments where shoreline position data needed to be extracted using this method. This file has large data gaps in the western and southern portions of the island due to incomplete coverage in the lidar source data. See source citations and process steps for a link to the lidar tile index, which describes the exact lidar data coverage. Additional data gaps in the DEM at or near the mean high water line are the consequence of non-existing data or existing data that did not meet quality assurance standards.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
Contour Shoreline Positional Uncertainty: We accounted for three sources of uncertainty in the contour method: 1) The vertical uncertainty of the lidar data, which is stated as 0.15 m in the lidar metadata; 2) a mean high water (MHW) uncertainty of 0.06 m to account for our simplified use of a single MHW value when in reality MHW continuously varies around the islands; and 3) the horizontal uncertainty due to the 1 meter cell size of the DEM.
This 1 meter cell limits us to a plus or minus 0.5 m confidence in the location of the shoreline. Since the first two sources of uncertainty are vertical measurements, we converted both of them to a horizontal uncertainty using the beach slope. We divided both of the vertical uncertainty terms by the average beach slope of 0.12 (expressed as rise/run) in order to get the horizontal component of the two vertical uncertainty terms (see Heslin and others 2021). In order to estimate the total horizontal uncertainty, the three, now horizontal, components of uncertainty were added in quadrature. These are stored in the attribute table. The average uncertainty for the 2016 contour shoreline for Puerto Rico is 1.68 meters.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: NOAA
Publication_Date: 20201203
Title: vertical Datum transformation (VDatum) version 4.2.1
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:
Publication_Place: Charleston, SC
Publisher: NOAA
Online_Linkage: https://vdatum.noaa.gov/
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20211201
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: vdatum
Source_Contribution: used to define MHW elevation for Puerto Rico.
Source_Information:
Source_Citation:
Citation_Information:
Originator: NOAA Office for Coastal Management (NOAA/OCM)
Publication_Date: 20201208
Title: 2016 NOAA NGS Topobathy Lidar DEM: Puerto Rico
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:
Publication_Place: Charleston, SC
Publisher: NOAA Office for Coastal Management (OCM)
Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8462
Online_Linkage: https://www.fisheries.noaa.gov/inport/item/51328
Online_Linkage:
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20150410
Ending_Date: 20160331
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: 2016 DEM
Source_Contribution:
The raster digital elevation model (in GeoTIFF format) was used to extract a polyline shoreline. The data were downloaded using the following parameters: projection in State Plane 1983; Zone 5200 Puerto Rico, NAD83 horizontal datum; PRVD02 vertical datum. The raster resolution is 1 meter.
Source_Information:
Source_Citation:
Citation_Information:
Originator: NOAA Office for Coastal Management (NOAA/OCM)
Publication_Date: 20210120
Title:
Tile index for the 2016 NOAA NGS Topobathy Lidar: Puerto Rico Point Cloud files with Orthometric Vertical Datum Puerto Rico Vertical Datum of 2002 (PRVD02) using GEOID18
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publication_Place: Charleston, SC
Publisher: NOAA Office for Coastal Management (OCM)
Online_Linkage: Online_Linkage: https://chs.coast.noaa.gov/htdata/lidar4_z/geoid18/data/8463/
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20150410
Ending_Date: 20160331
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: 2016 Tile Index
Source_Contribution:
The tile index shapefile for the lidar point cloud data shares the same footprints as he DEM data used in this analysis. The DATE the lidar was flown is embedded in the name of the .laz file which is stored in the tile index. The shoreline date was extracted from the tile index.
Process_Step:
Process_Description:
Overview of the methods used to extract shoreline features in Puerto Rico and the islands of Vieques and Culebra: This data release uses the contour method of shoreline extraction. Described in Farris and others (2018), the contour method extracts the elevation of average MHW value from DEM data using ArcMap tool “Contour List” with the MHW value chosen for the contour. The resulting shorelines are polyline shapefiles.
The average MHW for Puerto Rico was calculated using NOAA’s vdatum tool (v4.0.1; https://vdatum.noaa.gov/) to model the regional surface using local MHW values based on the PRVD02 vertical datum.
Process_Date: 20200101
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Rachel E. Henderson
Contact_Organization: U.S. Geological Survey
Contact_Position: Researcher VII
Contact_Address:
Address_Type: mailing and physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02540
Contact_Voice_Telephone: 508-548-8700
Contact_Electronic_Mail_Address: rehenderson@contractor.usgs.gov
Process_Step:
Process_Description:
Definition of average MHW for Puerto Rico: The height of MHW was determined from vdatum 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). This value is always within 6 cm of the value returned by vdatum at any point along the coast. The MHW value ranges from 0.09 m to 0.19 m from all tide observation stations in Puerto Rico, Vieques, and Culebra. Taking the mean from each of those MHW observations results in 0.13 m. This is the contour value used to delineate the shoreline and is recorded as the contour attribute in this shapefile.
Source_Used_Citation_Abbreviation: vdatum
Process_Date: 20200201
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Rachel E. Henderson
Contact_Organization: U.S. Geological Survey
Contact_Position: Researcher VII
Contact_Address:
Address_Type: mailing and physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02540
Contact_Voice_Telephone: 508-548-8700
Contact_Electronic_Mail_Address: rehenderson@contractor.usgs.gov
Process_Step:
Process_Description:
Contour Shoreline extraction: A suite of ArcGIS tools (ArcGIS version 10.7.1) were compiled into a series of in-house models with ArcGIS ModelBuilder and used to help automate the contour method of shoreline extraction. First, the MHW shoreline elevation (0.13 m NAV88) was extracted from the DEMs using the ArcGIS Contour List tool (ArcToolbox > Spatial Analyst > Surface > Contour List). This step was iterated for each individual DEM in the study area. As a result, individual shapefiles were created for each DEM.
Source_Used_Citation_Abbreviation: 2016 DEM
Process_Date: 20200401
Source_Produced_Citation_Abbreviation: PR MHW Contours
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Julia L. Heslin
Contact_Organization: U.S. Geological Survey
Contact_Position: Geographer
Contact_Address:
Address_Type: mailing and physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02540
Contact_Voice_Telephone: 508-457-2262
Contact_Electronic_Mail_Address: jheslin@usgs.gov
Process_Step:
Process_Description:
Contour Shoreline smoothing: Each contour shoreline was generalized using the Smooth Line tool (ArcToolbox > Cartography > Generalization > Smooth Line), applying the PAEK algorithm with a 5 m tolerance. The shoreline features were then merged (ArcToolbox > Data Management > General > Merge) into one feature class.
Source_Used_Citation_Abbreviation: PR MHW Contours
Process_Date: 20200501
Source_Produced_Citation_Abbreviation: PR Smoothed Contour
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Julia L. Heslin
Contact_Organization: U.S. Geological Survey
Contact_Position: Geographer
Contact_Address:
Address_Type: mailing and physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02540
Contact_Voice_Telephone: 508-457-2262
Contact_Electronic_Mail_Address: jheslin@usgs.gov
Process_Step:
Process_Description:
Contour Shoreline date calculation: The date for each shoreline is required to identify the dataset, and is used for shoreline change analysis with DSAS (Himmelstoss and others 2018). The date for each contour shoreline was calculated using the corresponding lidar point cloud tile index shapefile.
The tile index shapefile was downloaded from the 2016 NOAA NGS Topobathy Lidar bulk download page (https://chs.coast.noaa.gov/htdata/lidar4_z/geoid18/data/8463/). The dates associated with the tile index in the attribute table were used to apply the date to the contour shoreline features. In some instances, however, there were multiple tiles to one shoreline feature as some tiles were overlapping. In this case, the average date was calculated and applied to those shoreline features.
To do this, the date field from the tile index was converted to the Julian day (in this case, Julian day refers to the day of the year number).
In order to spatially join the tiles to the contour shorelines and calculate the average date, some modifications to the tile index shapefile was required. A “Count” field was added and calculated with a value of 1 in the tile index shapefile. Then, the contour shorelines were split where they intersected with the tile boundaries. This was done by creating a separate point shapefile where the contours intersected with the tile boundaries (ArcToolbox > Analysis > Overlay > Intersect) and then split the contours at these intersection points (ArcToolbox > Data Management > Features > Split Line at Point).
Each of these split contours were then spatially joined to the corresponding tile index or indices within which they fell (ArcToolbox > Analysis > Overlay > Spatial Join). The sum of the Julian day and Count fields was designated as the merge rule when spatially joining the tiles to the contours.
The summed Julian day field was divided by the summed Count field to derive the average Julian day for each of the contour shorelines. The average Julian day was then converted back to a date as a text field, compatible with DSAS.
Source_Used_Citation_Abbreviation: PR Smoothed Contour
Source_Used_Citation_Abbreviation: 2016 Tile Index
Process_Date: 20200601
Source_Produced_Citation_Abbreviation: PR Contour with DATE
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Julia L. Heslin
Contact_Organization: U.S. Geological Survey
Contact_Position: Geographer
Contact_Address:
Address_Type: mailing and physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02540
Contact_Voice_Telephone: 508-457-2262
Contact_Electronic_Mail_Address: jheslin@usgs.gov
Process_Step:
Process_Description:
Contour Shoreline attributes: Additional attributes are added UNCY (see Horizontal Positional Accuracy Report), PROXY (MHW), AGENCY, TYPE (lidar), METHOD (contour).
Source_Used_Citation_Abbreviation: PR Contour with DATE
Process_Date: 20200701
Source_Produced_Citation_Abbreviation: PR Contour with ATTRIBUTES
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Julia L. Heslin
Contact_Organization: U.S. Geological Survey
Contact_Position: Geographer
Contact_Address:
Address_Type: mailing and physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02540
Contact_Voice_Telephone: 508-457-2262
Contact_Electronic_Mail_Address: jheslin@usgs.gov
Process_Step:
Process_Description:
Contour Shoreline edits: The shoreline was then manually edited with the lidar data displayed with categorized elevation values to highlight the MHW values and a modern base map image for reference. Segments of the contour that did not fall near the open ocean MHW were removed.
Source_Used_Citation_Abbreviation: PR Contour with ATTRIBUTES
Process_Date: 20200801
Source_Produced_Citation_Abbreviation: PR Contour Shoreline
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Rachel E. Henderson
Contact_Organization: U.S. Geological Survey
Contact_Position: Researcher VII
Contact_Address:
Address_Type: mailing and physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02540
Contact_Voice_Telephone: 508-548-8700
Contact_Electronic_Mail_Address: rehenderson@contractor.usgs.gov
Process_Step:
Process_Description:
Final coordinate transformation from "NAD_1983_NSRS2007_StatePlane_Puerto_Rico_Virgin_Isls_FIPS_5200" to "GCS_WGS_1984".
Source_Used_Citation_Abbreviation: PR Contour Shoreline
Process_Date: 20201101
Source_Produced_Citation_Abbreviation: PR_2016_NOAA_NGS_MHW_Shoreline
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Rachel E. Henderson
Contact_Organization: U.S. Geological Survey
Contact_Position: Researcher VII
Contact_Address:
Address_Type: mailing and physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02540
Contact_Voice_Telephone: 508-548-8700
Contact_Electronic_Mail_Address: rehenderson@contractor.usgs.gov
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Vector
Point_and_Vector_Object_Information:
SDTS_Terms_Description:
SDTS_Point_and_Vector_Object_Type: String
Point_and_Vector_Object_Count: 489
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Geographic:
Latitude_Resolution: 0.0198254602
Longitude_Resolution: 0.0207087942
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: PR_2016_NOAA_NGS_MHW_Shoreline.shp
Entity_Type_Definition:
The mean high water (MHW) shoreline for the Puerto Rican coast used in shoreline change analysis.
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: CONTOUR
Attribute_Definition:
Elevation of the feature in meters using Mean High Water tidal datum.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.13
Range_Domain_Maximum: 0.13
Attribute:
Attribute_Label: DSAS_DATE
Attribute_Definition:
Date of shoreline position in mm/dd/yyyy; date of survey as indicated on source material.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Unrepresentable_Domain: Date of the shoreline
Attribute:
Attribute_Label: UNCY
Attribute_Definition:
Estimate of shoreline position uncertainty derived by adding in quadrature the identified components of uncertainty described in the horizontal positional accuracy section of this metadata file. Actual shoreline position is assumed to be within the range of this value (plus or minus, meters).
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 1.68
Range_Domain_Maximum: 1.68
Attribute:
Attribute_Label: PROXY
Attribute_Definition:
Method of deriving shoreline feature. These shorelines were all extracted from lidar using a MHW elevation. When combined with other data (high water line, wet-dry line) for shoreline analysis this field preserves the method used to derive this shoreline.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: MHW
Enumerated_Domain_Value_Definition:
The average Mean high water (MHW) for Puerto Rico, as described in process steps
Enumerated_Domain_Value_Definition_Source: Producer defined
Attribute:
Attribute_Label: AGENCY
Attribute_Definition:
The agency that provided the source data to create the shoreline
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: NOAA NGS
Enumerated_Domain_Value_Definition:
National Oceanic and Atmospheric Administration National Geodetic Survey
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey
Attribute:
Attribute_Label: TYPE
Attribute_Definition: The type of source data used to create the shoreline
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: Lidar
Enumerated_Domain_Value_Definition: Light detection and ranging elevation data
Enumerated_Domain_Value_Definition_Source: Producer defined
Attribute:
Attribute_Label: METHOD
Attribute_Definition:
Method of shoreline extraction from lidar - for this dataset, it is contour. See process steps for details.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: Contour
Enumerated_Domain_Value_Definition:
Shorelines were extracted using the contour method (Farris and others, 2018)
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey
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 for Puerto Rico derived from 2016 NOAA NGS lidar using contour (DEM) shoreline extraction methods, 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.
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 10.6
Format_Specification: Esri polyline shapefile
Format_Information_Content:
Dataset contains the shapefile, browse graphic, and CSDGM metadata.
Transfer_Size: 11
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
Technical_Prerequisites:
These data are available in a polyline shapefile format. The user must have software to read and process the data components of a shapefile.
Metadata_Reference_Information:
Metadata_Date: 20211119
Metadata_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Rachel E. Henderson
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_Electronic_Mail_Address: rehenderson@contractor.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/SB_data_release/DR_P9AZYW74/PR_2016_NOAA_NGS_MHW_Shoreline_metadata.html>
Generated by mp version 2.9.50 on Mon Nov 29 09:51:00 2021