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Full catalog/damage_probability_2022-10-03
damage_probability_2022-10-03·dataset

Hurricane Ian: Likelihood of Building Damage (2022)

Damage Probability Derived from UCONN GERs Lab After Hurricane Ian
atmosphere NASA VEDA COG
In plain English

What it measures. Estimates the probability that buildings and areas were damaged in the aftermath of 2022's Hurricane Ian.

How it's made. Produced by the University of Connecticut's GERS Lab using remote-sensing analysis of before-and-after conditions.

How & where you'd use it. Helps responders quickly target the hardest-hit neighborhoods for relief and damage assessment.

What's measured

damageprobability2022

Coverage & cadence

  • Time span2022-10-03 → 2022-10-03
  • Spatial extent-82.376, 26.312, -81.559, 27.038
  • FormatsCOG

What you can do with it

  • Map air pollutants — NO₂, aerosols, ozone
  • Track greenhouse gases and Earth's energy budget
  • Feed weather and air-quality analysis
Official description

Damage Probability Derived from UCONN GERs Lab After Hurricane Ian.

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("damage_probability_2022-10-03")
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).