NOAA CUSP US Shorelines - Dataset

Field	Value
Author	Natural Capital Project, Stanford University
Tags	COASTAL COASTLINE CUSP NOAA SHORELINES
Places	UNITED STATES PUERTO RICO PACIFIC ISLANDS US VIRGIN ISLANDS
Last Updated	March 27, 2025, 18:32 (UTC)
Created	March 27, 2025, 18:19 (UTC)
Natcap Last Updated	2025-03-27T18:32:43.079405+00:00

Cite this dataset

Embed this layer into your website

<div id="map" style="width: 100%; height: 400px;"></div>

<link rel="stylesheet" href="https://unpkg.com/leaflet@1.9.4/dist/leaflet.css" integrity="sha256-p4NxAoJBhIIN+hmNHrzRCf9tD/miZyoHS5obTRR9BMY=" crossorigin="" />
<script src="https://unpkg.com/leaflet@1.9.4/dist/leaflet.js" integrity="sha256-20nQCchB9co0qIjJZRGuk2/Z9VM+kNiyxNV1lvTlZBo=" crossorigin=""></script>
<script>
  var map = L.map('map').setView([0, 0], 4);

  L.tileLayer('https://tile.openstreetmap.org/{z}/{x}/{y}.png', {
    attribution: '&copy; <a href="https://www.openstreetmap.org/copyright">OpenStreetMap</a> contributors'
  }).addTo(map);

const addnoaausshorelinesshp = async () => {
  const r = await fetch('https://storage.googleapis.com/natcap-data-cache/global/noaa-us-shorelines/noaa_us_shorelines/noaa_us_shorelines.mvt');
  const geojson = await r.json();
  L.geoJson(geojson).addTo(map);
};

addnoaausshorelinesshp();
</script>

Use this data in Python

from osgeo import gdal

vector = gdal.OpenEx('/vsicurl/https://storage.googleapis.com/natcap-data-cache/global/noaa-us-shorelines/noaa_us_shorelines/noaa_us_shorelines.mvt')
layer = vector.GetLayer()
for feature in layer:
    geometry = feature.GetGeometryRef()
    print(geometry.ExportToWkt())


# Geopandas example
import geopandas

gdf = geopandas.read_file('https://storage.googleapis.com/natcap-data-cache/global/noaa-us-shorelines/noaa_us_shorelines/noaa_us_shorelines.mvt')