2 datasets found
  1. NOAA NGS Continually Updated Shoreline Product (CUSP)

    • fisheries.noaa.gov
    • datasets.ai
    • +2more
    Updated Jan 1, 2020
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    National Geodetic Survey (2020). NOAA NGS Continually Updated Shoreline Product (CUSP) [Dataset]. https://www.fisheries.noaa.gov/inport/item/60812
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    Dataset updated
    Jan 1, 2020
    Dataset provided by
    U.S. National Geodetic Survey
    Time period covered
    Mar 23, 1937 - Aug 16, 2125
    Area covered
    Description

    These data provide available contemporary high-resolution national shoreline. The Continually Updated Shoreline Product is provided via the National Shoreline Data Explorer application.

  2. a

    Caribbean Island Extent & Size (Southeast Blueprint 2023)

    • secas-fws.hub.arcgis.com
    • hub.arcgis.com
    Updated Sep 26, 2023
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    U.S. Fish & Wildlife Service (2023). Caribbean Island Extent & Size (Southeast Blueprint 2023) [Dataset]. https://secas-fws.hub.arcgis.com/datasets/caribbean-island-extent-size-southeast-blueprint-2023
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    Dataset updated
    Sep 26, 2023
    Dataset authored and provided by
    U.S. Fish & Wildlife Service
    Area covered
    Description

    Input Data

    NOAA Continuously Updated Shoreline Product (CUSP), accessed 1-11-2023; read a 1-page factsheet about CUSP; view and download CUSP data in the NOAA Shoreline Data Explorer (to download, select “Download CUSP by Region” and select Southeast Caribbean)
    Southeast Blueprint 2023 subregions: Caribbean
    

    Mapping Steps

    Make a copy of the Southeast Caribbean CUSP feature line dataset and reproject it to ESPG 5070.
    For the big island of Puerto Rico, special steps were required to deal with CUSP shorelines that did not connect across large rivers.
      Add and calculate a field to use to dissolve the lines.
        Dissolve the lines using the dissolve function, which reveals where there are gaps in the shoreline.
        Use the integrate tool to snap together nearby nodes, using a tolerance of 8 m. This connects the disconnected lines on the big island of Puerto Rico.
        Convert these modified shorelines to a polygon.
        Add and calculate a dissolve field, then dissolve using the dissolve tool. This is necessary because interior waterbodies on the big island of Puerto Rico also have shorelines in the CUSP data. This step produces a layer where inland waterbodies are included as a part of the island where they occur.
        From the resulting layer, select the big island of Puerto Rico and create a separate polygon feature layer from it. This extracts a modified shoreline boundary for the big island of Puerto Rico only. We don’t want to use the modified shorelines created above for other islands that didn’t have an issue of disconnected shoreline segments near large rivers.
    
    Go back to the original Caribbean CUSP lines and convert them to polygons.
    Add a dissolve field and dissolve using the dissolve tool. This produces a layer where all inland waterbodies are included as a part of the island where they occur.
    From the island boundaries derived from the original CUSP data, remove the polygons that overlap with the big island of Puerto Rico derived from the modified CUSP data. This produces a layer representing all U.S. Caribbean islands except the big island of Puerto Rico.
    Merge the modified big island of Puerto Rico layer with the layer for all other islands.
    Create and populate a field that has unique IDs for all islands.
    Convert the island polygon to a raster using the ArcPy Feature to Raster function. This makes a raster that correctly represents the interior of the islands. However, because the Feature to Raster function for polygons works differently than the Line to Raster function, the shoreline doesn’t perfectly match the result we get when we convert the CUSP lines to a raster. 
    Because the Caribbean coastal shoreline condition indicator is created from the CUSP lines, we need the shorelines to match exactly. To reconcile this, go back to the original Caribbean CUSP line data and use the Feature to Raster function again, this time converting the lines to a raster. 
    Use the ArcPy Cell Statistics “MAXIMUM” function to combine the two rasters above (one created from the CUSP lines and one created from the CUSP-derived polygons).
    Export the raster that represents the extent of Caribbean islands.
    Use the Region Group function to give unique values to each island.
    Reclassify to make 3 island size classes. The big island of Puerto Rico is the only island in the highest class. The medium island class contains the following islands: Isla Mona, Isla de Vieques, Isla de Culebra, St. Thomas, St. John, and St. Croix. All other islands were put in the smaller class. All other non-island pixels in the Caribbean were given a value of marine.
    

    Note: For more details on the mapping steps, code used to create this layer is available in the Southeast Blueprint 2023 Data Download or Caribbean-only Southeast Blueprint 2023 Data Download under > 6_Code. Literature Cited National Oceanic and Atmospheric Administration (NOAA), National Ocean Service, National Geodetic Survey. NOAA Continually Updated Shoreline Product (CUSP): Southeast Caribbean. [https://coast.noaa.gov/digitalcoast/data/cusp.html].

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Cite
National Geodetic Survey (2020). NOAA NGS Continually Updated Shoreline Product (CUSP) [Dataset]. https://www.fisheries.noaa.gov/inport/item/60812
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NOAA NGS Continually Updated Shoreline Product (CUSP)

Explore at:
4 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jan 1, 2020
Dataset provided by
U.S. National Geodetic Survey
Time period covered
Mar 23, 1937 - Aug 16, 2125
Area covered
Description

These data provide available contemporary high-resolution national shoreline. The Continually Updated Shoreline Product is provided via the National Shoreline Data Explorer application.

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