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Full catalog/lis-global-da-gpp
lis-global-da-gpp·dataset

Global Plant Growth (Carbon Captured)

Gross Primary Productivity - LIS 10km Global DA
biosphere NASA VEDA COG
In plain English

What it measures. Maps gross primary productivity worldwide, a measure of how much carbon plants pull from the air through photosynthesis, on a 10-kilometre grid.

How it's made. Modelled by NASA's Land Information System, which folds satellite measurements into a global land-surface simulation.

How & where you'd use it. Helps scientists study ecosystem health, crop conditions, and the carbon cycle.

What's measured

lisglobalgpp

Coverage & cadence

  • Time span2002-08-02 → 2021-12-01
  • Spatial extent-179.95, -59.982, 179.997, 90
  • FormatsCOG

What you can do with it

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

Gridded gross primary productivity (in g m-2 s-1) from 10km global LIS with assimilation

Get the data

veda_access.py
# NASA VEDA — open STAC API, anonymous (cloud-optimized GeoTIFFs)
from pystac_client import Client

cat = Client.open("https://openveda.cloud/api/stac")
col = cat.get_collection("lis-global-da-gpp")
items = list(col.get_items())          # browse the analysis-ready COGs
# open an asset with rioxarray:
# import rioxarray; da = rioxarray.open_rasterio(items[0].assets["cog_default"].href)
NASA VEDA is an open STAC catalog — browse and stream the cloud-optimized GeoTIFFs anonymously (no login).