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lis-tvegsuppression·dataset

Plant Water Use Lost After 2020 Wildfires

Change in transpiration for 2020 fires using LIS outputs
biosphere NASA VEDA COG
In plain English

What it measures. Shows how much the water released by plants through their leaves (transpiration) dropped in the year after the 2020 wildfires compared with the year before. Negative values flag vegetation harmed by fire.

How it's made. Computed with NASA's Land Information System model, which blends many satellite observations into a land-surface simulation.

How & where you'd use it. Helps scientists measure how severely fires disturbed vegetation and its water use.

What's measured

listvegsuppression

Coverage & cadence

  • Time span2020-01-01 → 2020-12-31
  • Spatial extent-125.04, 31.973, -109.402, 49.276
  • FormatsCOG

What you can do with it

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

Change in vegetation transpiration for 2020 fires using model outputs from Land Information System (LIS) framework that synthesizes multiple remote sensing observations within the Noah-MP land surface model. Change is calculated as the difference of transpiration in the immediate post-fire water year from that in the immediate pre-fire water year. The difference is normalized by pre-fire transpiration and negative values denote vegetation disturbance induced by fire or by a climatological anomaly resulting in the decline in transpiration.

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-tvegsuppression")
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).