Yearly global land cover map, 100m (Copernicus, 2015-2019)
What it measures. Sorts the planet's surface into land cover types such as forest, grassland, cropland and water, using 23 classes plus extra layers showing the fraction of each cover type and forest details.
How it's made. Produced by ESA Copernicus from the PROBA-V satellite, mapping the world at 100-metre detail once a year.
How & where you'd use it. Useful for land management, conservation, environmental reporting and tracking how landscapes change over time. This Collection 3 covers the years 2015 to 2019.
What's measured
Coverage & cadence
- Time span2014-01-01 → 2020-03-31
- Spatial extent-179.9999999, -60, 179.9999999, 80
- FormatsCOG
What you can do with it
- Track deforestation, fire scars and land-cover change
- Monitor crop and vegetation health (NDVI/EVI)
- Map how built-up vs. green an area is over time
Official description
The Dynamic Land Cover product provides a primary land cover scheme at three classification levels with class definitions according to the Land Cover Classification System (LCCS) scheme. This Collection 3 includes global land cover maps at 100 m resolution for base year 2015 and subsequent years until 2019, including a base classification with 23 classes, versatile fractional cover layers and forest type information.
Get the data
# ESA Copernicus Data Space — open STAC API (free account)
from pystac_client import Client
cat = Client.open("https://stac.dataspace.copernicus.eu/v1")
search = cat.search(
collections=["clms_lc_global_100m_yearly_v3"], # add _cog or _nc for a format variant
bbox=(-10, 35, 30, 60), # your area (W,S,E,N)
datetime="2024-01-01/2024-12-31",
)
items = list(search.items()) # then read assets with rioxarray / xarrayBrowsing the Copernicus STAC is open; downloading bytes needs a free Copernicus Data Space account.
Official links
- Open data source Copernicus STAC