NOAA CUSP US Shorelines - Dataset

Field	Value
Author	Natural Capital Alliance, Stanford University
Tags	COASTAL COASTLINE NOAA SHORELINES
Places	PACIFIC ISLANDS PUERTO RICO UNITED STATES US VIRGIN ISLANDS
Last Updated	January 12, 2026, 21:59 (UTC)
Created	August 12, 2025, 00:07 (UTC)
Natcap Last Updated	2026-01-12T21:59:51.525503+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://data.naturalcapitalalliance.stanford.edu/download/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://data.naturalcapitalalliance.stanford.edu/download/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://data.naturalcapitalalliance.stanford.edu/download/global/noaa-us-shorelines/noaa_us_shorelines/noaa_us_shorelines.mvt')