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Full catalog/sentinel-3-syn-2-v10-ntc
sentinel-3-syn-2-v10-ntc·dataset

10-day vegetation greenness map (Copernicus, SPOT continuity)

Sentinel-3 SYNERGY 10-Day Surface Reflectance and NDVI (NTC)
biosphere ESA ESA Copernicus active
In plain English

What it measures. Surface reflectance and a vegetation greenness index (NDVI) compiled over 10-day windows, showing how green and healthy plants are across regions.

How it's made. Derived from ESA Copernicus' Sentinel-3 satellites as a Level-2 Synergy product designed to continue the long-running SPOT VEGETATION record at 1 km resolution.

How & where you'd use it. Tracks crop and forest health, growing seasons, and drought, and extends decades of vegetation monitoring for consistent trend analysis.

What's measured

1000mCopernicusECESAEUMixedNDVIP1MReflectanceSY_2_V10____SatelliteSentinelSentinel-3

Coverage & cadence

  • Time span2018-09-27 → ongoing
  • Spatial extent-180, -90, 180, 90

What you can do with it

  • Map vegetation, forests and biomass
  • Monitor ecosystem productivity and carbon
  • Support habitat and biodiversity studies
Official description

This Collection provides the Sentinel-3 Synergy Level-2 10-Day Surface Reflectance and NDVI products, which are SPOT VEGETATION Continuity Products similar to those obtained from the VEGETATION instrument onboard the SPOT-4 and SPOT-5 satellites.

Get the data

copernicus_access.py
# 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-3-syn-2-v10-ntc"],   # 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.