Annual NLCD Land Cover (2022) - Dataset

Field	Value
Author	Natural Capital Alliance, Stanford University
Tags	INVEST INPUT INVEST-READY LAND COVER LAND USE LAND COVER LULC USGS
Places	CONTERMINOUS US CONUS UNITED STATES
Last Updated	January 8, 2026, 23:41 (UTC)
Created	August 4, 2025, 23:17 (UTC)
Natcap Last Updated	2026-01-08T23:41:47.390060+00:00

Cite this dataset

Embed this layer into your website

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<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);

L.tileLayer('https://titiler-897938321824.us-west1.run.app/cog/tiles/WebMercatorQuad/{z}/{x}/{y}@2x?colormap_name=viridis&bidx=1&url=https%3A%2F%2Fdata.naturalcapitalalliance.stanford.edu%2Fdownload%2Fglobal%2FNLCD%2FLandCover%2FMRLC_Annual_NLCD_LndCov_2022_c1v1.tif&rescale=11.0%2C90.0').addTo(map);
</script>

Use this data in Python

from osgeo import gdal

raster = gdal.OpenEx('/vsicurl/https://data.naturalcapitalalliance.stanford.edu/download/global/NLCD/LandCover/MRLC_Annual_NLCD_LndCov_2022_c1v1.tif')
band = raster.GetRasterBand(1)
array = band.ReadAsArray(
    xoff=my_window_x_offset,
    yoff=my_window_y_offset,
    win_xsize=my_window_width_in_pixels,
    win_ysize=my_window_height_in_pixels)