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Full catalog/la-fires-HLS
la-fires-HLS·dataset

False-Color Satellite Views of the 2025 LA Fires

HLS False Color Imagery (2025 LA fires)
biosphere NASA VEDA COG
In plain English

What it measures. Satellite imagery of the 2025 Los Angeles fires, shown in false color to make burned land and active fire stand out.

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

How & where you'd use it. Lets responders quickly map where fire has burned and spot still-active hot spots.

What's measured

firesHLS

Coverage & cadence

  • Time span2025-01-06 → 2025-01-14
  • Spatial extent-119.174, 33.333, -117.969, 34.338
  • 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 Satellite imagery for LA Fires

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("la-fires-HLS")
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).