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Full catalog/landslides-hls-disturbance
landslides-hls-disturbance·dataset

Vegetation Loss From Hurricane Helene

HLS Disturbance Product - Hurricane Helene
atmosphere NASA VEDA COG
In plain English

What it measures. Shows where plant cover was stripped away after Hurricane Helene, comparing current vegetation to past years to flag the biggest losses.

How it's made. From Harmonized Landsat and Sentinel-2 (HLS) satellite imagery, which blends NASA and European satellite views.

How & where you'd use it. Helps responders spot landslides and severe storm damage by where greenery suddenly disappeared.

What's measured

landslideshlsdisturbance

Coverage & cadence

  • Time span2024-10-02 → 2024-10-02
  • Spatial extent-83.248, 35.135, -80.89, 37.047
  • 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

Difference between historical and current year observed vegetation cover at the date of maximum decrease (vegetation loss of 0-100%). This layer can be used to threshold vegetation disturbance per a given sensitivity (e.g. disturbance of ≥20% vegetation cover loss). The sum of the historical percent vegetation and the anomaly value will be the vegetation cover estimate for the current year.

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("landslides-hls-disturbance")
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).