Full catalog/landslides-ndvi
landslides-ndvi·dataset

Hurricane Helene Vegetation Change in Southern Appalachia

S2 NDVI Difference - Hurricane Helene
biosphere NASA VEDA COG
In plain English

What it measures. Shows how green and healthy the vegetation was after Hurricane Helene compared with before, across the Southern Appalachian region. Big drops in greenness flag forests stripped by landslides, flooding, and debris flows.

How it's made. Built from Sentinel-2 optical satellite imagery at 10-metre detail, comparing a plant-health index before and after the storm.

How & where you'd use it. Helps responders spot where slopes failed and vegetation was destroyed, guiding search and damage assessment.

What's measured

landslidesndvi

Coverage & cadence

  • Time span2024-10-12 → 2024-10-12
  • Spatial extent-84.371, 34.21, -80.89, 37.047
  • FormatsCOG

What you can do with it

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

Normalized Difference Vegetation Index (NDVI) differences post minus pre-Helene in the Southern Appalachia region. This index was computed from Sentinel 2 data at 10m spatial resolution.

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-ndvi")
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).