landsat-c2-l1-oli·dataset
Raw Landsat satellite photos of the land (Copernicus)
Landsat Collection 2 Level-1 Operational Land Imager
land ESA ESA Copernicus
In plain English
What it measures. Captures reflected light from the Earth's surface across visible and infrared colours, the building blocks of satellite imagery for land and vegetation.
How it's made. Collected by the Operational Land Imager cameras aboard the Landsat 8 and 9 satellites, distributed at Level 1 (an early processing stage).
How & where you'd use it. A raw input rather than a finished map: scientists turn it into land-cover, vegetation, and change maps. Most users will need to process it further.
What's measured
LandsatUSGSSatelliteGlobalImageryReflectance
Coverage & cadence
- Time span2021-11-17 → 2023-04-23
- Spatial extent-180, -90, 180, 90
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
Level 1 operational land imager (OLI) data from Landat 8 and Landsat 9.
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=["landsat-c2-l1-oli"], # 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 / xarray Browsing the Copernicus STAC is open; downloading bytes needs a free Copernicus Data Space account.
Official links
- Open data source Copernicus STAC