sentinel-2-gri-l1c·dataset
Geometric reference red-band image layer (Copernicus)
Sentinel-2 GRI L1C
land ESA ESA Copernicus
In plain English
What it measures. A red-band reference image plus quality masks, built to give very accurate, consistent positioning so other images can be aligned against it.
How it's made. Made by ESA Copernicus as a Level-1C Global Reference Image derived from Sentinel-2's red band for improved geometric consistency.
How & where you'd use it. A behind-the-scenes calibration product used to keep Sentinel-2 imagery precisely geo-located, rather than something for direct viewing.
What's measured
ECESAEUGlobalSentinelSentinel-2GRI
Coverage & cadence
- Time span2015-07-06 → 2018-09-06
- 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
The Sentinel-2 GRI STAC collection provides a multi-layer Level-1C “Global Reference Image” composed of B04 (red) band plus corresponding quality masks, derived from a multi-layer L1B GRI for improved geometric consistency.
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=["sentinel-2-gri-l1c"], # 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