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

Global Trend in Land Water Storage

Terrestrial Water Storage Trend - LIS 10km Global DA
land NASA VEDA COG
In plain English

What it measures. Maps the long-term trend in total water stored on land, showing where regions are gaining or losing water over time.

How it's made. Calculated from NASA's Land Information System model output using a robust statistical trend method.

How & where you'd use it. Highlights regions drying out or wetting up, informing water-security and climate analysis.

What's measured

lisglobaltwstrend

Coverage & cadence

  • Time span2003-01-01 → 2021-12-31
  • Spatial extent-179.95, -59.982, 179.997, 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

Gridded trend in terrestrial water storage (theil-sen slope estimation in mm yr-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-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).