Metadata: Identification_Information: Citation: Citation_Information: Originator: Julia L. Heslin Originator: Rachel E. Henderson Originator: Emily A. Himmelstoss Publication_Date: 20211119 Title: 2015 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: https://www.sciencebase.gov/catalog/item/613b7f28d34e40dd9c0f9671 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: https://www.sciencebase.gov/catalog/item/610abe37d34ef8d70568937a 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: 20141116 Ending_Date: 20150125 Currentness_Reference: ground condition Status: Progress: Complete Maintenance_and_Update_Frequency: None planned Spatial_Domain: Bounding_Coordinates: West_Bounding_Coordinate: -67.2715 East_Bounding_Coordinate: -65.5822 North_Bounding_Coordinate: 18.5160 South_Bounding_Coordinate: 17.9284 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 Hazards and Resources Program Theme_Keyword: Woods Hole Coastal and Marine Science Center Theme_Keyword: WHCMSC Theme_Keyword: NOAA Theme_Keyword: National Geodedic Survey Theme_Keyword: NGS Theme_Keyword: National Oceanic and Atmospheric Agency 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:613b7f28d34e40dd9c0f9671 Place: Place_Keyword_Thesaurus: None Place_Keyword: United States Place_Keyword: Atlantic Coast Place_Keyword: Caribbean Place_Keyword: Puerto Rico 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: https://www.sciencebase.gov/catalog/file/get/613b7f28d34e40dd9c0f9671?name=PR_2015_Lidar_Shoreline.jpg Browse_Graphic_File_Description: Map of the NOAA/NGS 2015 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 from 1901 to 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: https://www.sciencebase.gov/catalog/item/60cb7627d34e86b938a3a1b0 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: https://www.sciencebase.gov/catalog/item/610ae914d34ef8d70568fba9 Cross_Reference: Citation_Information: Originator: Julia 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: https://www.sciencebase.gov/catalog/item/61255b87d34e40dd9c03f390 Data_Quality_Information: Attribute_Accuracy: Attribute_Accuracy_Report: The attributes are based on the requirements of the Digital Shoreline Analysis System (DSAS) software, (Himmelstoss and others, 2018). Logical_Consistency_Report: Adjacent shoreline segments do not overlap and are not necessarily continuous. Visual QC was performed in ArcMap, displaying shorelines over imagery (Esri World Imagery in map view) to verify that data landward of the expected shoreline (such as low lying inland areas, or inland marsh areas) were removed. Shorelines located near any data-gaps or the edge of the elevation dataset were evaluated and 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 could be extracted using this method. This file has a large data gap in the central north, and smaller gaps in the southwest, and eastern facing 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 0.098 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 2015 contour shoreline for Puero Rico is 1.38 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: 20190702 Title: 2015 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/-7522626.5757139055,2004484.6297504622,-7254179.732376367,2138402.303306091/details/6211 Online_Linkage: https://www.fisheries.noaa.gov/inport/item/48380 Online_Linkage: https://coast.noaa.gov/htdata/raster2/elevation/PR_Puerto_Rico_NGS_DEM_2015_6211/ Type_of_Source_Media: online Source_Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 201411 Ending_Date: 20150501 Source_Currentness_Reference: ground condition Source_Citation_Abbreviation: 2015 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: 20190702 Title: Tile index for the 2015 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: https://chs.coast.noaa.gov/htdata/lidar4_z/geoid18/data/5193/tileindex.zip Online_Linkage: https://chs.coast.noaa.gov/htdata/lidar4_z/geoid18/data/5193/ Type_of_Source_Media: online Source_Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 20141101 Ending_Date: 20150501 Source_Currentness_Reference: ground condition Source_Citation_Abbreviation: 2015 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 calculated using NOAA's VDatum (v4.0.1) tool (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: 2015 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 2015 NOAA NGS Topobathy Lidar bulk download page (https://chs.coast.noaa.gov/htdata/lidar4_z/geoid18/data/5193/). 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: 2015 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_2015_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: 732 Spatial_Reference_Information: Horizontal_Coordinate_System_Definition: Geographic: Latitude_Resolution: 0.0198254314 Longitude_Resolution: 0.0207101782 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_2015_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: 1.38 Range_Domain_Maximum: 1.38 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 2015 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: Network_Address: Network_Resource_Name: https://doi.org/10.5066/P9AZYW74 Network_Resource_Name: https://www.sciencebase.gov/catalog/file/get/613b7f28d34e40dd9c0f9671 Network_Resource_Name: https://www.sciencebase.gov/catalog/item/613b7f28d34e40dd9c0f9671 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