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Full catalog/lis-tws-trend
lis-tws-trend·dataset

Trend in How Land Water Differs From Normal

Trend in Terrestrial Water Storage (TWS) Anomalies
land NASA VEDA COG
In plain English

What it measures. Maps the long-term trend in land water storage anomalies from 2001 to 2021, showing where stored water is steadily rising or falling.

How it's made. Modelled by NASA's Land Information System by blending in GRACE satellite gravity measurements, soil moisture, and vegetation data.

How & where you'd use it. Highlights regions with persistent gains or losses of water, supporting drought and water-resource planning.

What's measured

listwstrend

Coverage & cadence

  • Time span2002-09-01 → 2021-12-01
  • Spatial extent-180, -90, 180, 90
  • FormatsCOG

What you can do with it

  • Track deforestation, fire scars and land-cover change
  • Monitor crop and vegetation health (NDVI/EVI)
  • Map how built-up vs. green an area is over time
Official description

Trends in anomalies of Terrestrial Water Storage (TWS) modeled using LIS framework by assimilating GRACE TWS, soil moisture, and leaf area index over 2001-2021

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-tws-trend")
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).