Earth Data School
About
Full catalog/hls-ndvi
hls-ndvi·dataset

Vegetation Greenness From Satellite

Normalized difference vegetation index from HLS
biosphere NASA VEDA COG
In plain English

What it measures. A measure of how green and healthy plant life is on the ground, with higher values meaning denser, more vigorous vegetation.

How it's made. Made from Harmonized Landsat and Sentinel-2 satellite imagery, using a vegetation greenness index.

How & where you'd use it. Helps track plant health and spot damage to crops, forests, or wetlands after disasters.

What's measured

hlsndvi

Coverage & cadence

  • Time span2022-09-05 → 2022-09-05
  • Spatial extent-82.376, 26.312, -81.904, 27.036
  • FormatsCOG

What you can do with it

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

NDVI calculated from Harmonized Landsat and Sentinel-2 Data

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("hls-ndvi")
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).