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Full catalog/nceo_africa_2017
nceo_africa_2017·dataset

Africa Woody Biomass Map, 2017

NCEO Africa Aboveground Woody Biomass 2017
biosphere NASA VEDA COG
In plain English

What it measures. Estimates how much woody plant matter (trees and shrubs above ground) covers the African continent in 2017, mapped at 100-metre detail.

How it's made. Built by the UK's National Centre for Earth Observation by combining laser-ranging (LiDAR), radar, and optical satellite data.

How & where you'd use it. Supports carbon accounting and tracking of forests and deforestation across Africa.

What's measured

nceoafrica2017

Coverage & cadence

  • Time span2017-01-01 → 2017-12-31
  • Spatial extent-18.274, -35.054, 51.864, 37.731
  • FormatsCOG

What you can do with it

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

The NCEO Africa Aboveground Woody Biomass (AGB) map for the year 2017 at 100 m spatial resolution was developed using a combination of LiDAR, Synthetic Aperture Radar (SAR) and optical based data. This product was developed by the UK’s National Centre for Earth Observation (NCEO) through the Carbon Cycle and Official Development Assistance (ODA) programmes.

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("nceo_africa_2017")
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).