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hls-bais2-v2·dataset

Lahaina Fire Burned-Area Map, Maui

HLS-calculated BAIS2 burned area
biosphere NASA VEDA COG
In plain English

What it measures. A map of how badly the land was burned around Lahaina, Maui, captured on August 13, 2023 after the fire was contained, where higher values mark more scorched ground.

How it's made. Made from Harmonized Landsat and Sentinel-2 satellite imagery, using a burned-area index that highlights charred vegetation.

How & where you'd use it. Helps officials map the fire's footprint and plan recovery and rebuilding in affected areas.

What's measured

hlsbais2

Coverage & cadence

  • Time span2023-08-13 → 2023-08-13
  • Spatial extent-156.696, 20.842, -156.643, 20.912
  • FormatsCOG

What you can do with it

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

HLS-calculated BAIS2 burned area index from 2023-08-13 after the Lahaina fire was contained. Higher values indicate greater likelihood of scorched earth.

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("hls-bais2-v2")
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).