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Full catalog/clms_lsp_global_300m_yearly_v2
clms_lsp_global_300m_yearly_v2·dataset

Plant growing-season timing, 2014-2024 (Copernicus)

CLMS LSP Global 300m yearly V2
biosphere ESA ESA Copernicus active COG
In plain English

What it measures. Annual snapshots of the vegetation cycle showing when greening, peak growth, and decline occur each year, along with how intense those phases were. This version covers 2014 through 2024.

How it's made. Made by ESA Copernicus by combining PROBA-V and Sentinel-3 OLCI observations into yearly 300-meter maps.

How & where you'd use it. Supports long-term studies of shifting seasons, drought and heat impacts on plants, and decade-scale trends in crop and ecosystem timing.

What's measured

CopernicusCLMSLSPLand Surface Phenologyvegetation phenologyglobalyearly300mPROBA-VSentinel-3OLCI

Coverage & cadence

  • Time span2013-12-25 → ongoing
  • Spatial extent-179.9999999, -59.998513, 179.9985148, 80.0014881
  • FormatsCOG

What you can do with it

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

Provides yearly Land Surface Phenology parameters describing when change happened in time and how intensive it was during key phases of the vegetation development cycle. Annual products are available at global scale in the spatial resolution of 300 m from 2014 to 2024.

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=["clms_lsp_global_300m_yearly_v2"],   # 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.