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Full catalog/hls-swir-falsecolor-composite
hls-swir-falsecolor-composite·dataset

False-Color Satellite View for Spotting Burns and Water

HLS SWIR FalseColor Composite
land NASA VEDA COG
In plain English

What it measures. A false-color satellite image that recolors invisible shortwave-infrared and near-infrared light so that features like burn scars, water, and bare ground stand out clearly.

How it's made. Made from Harmonized Landsat and Sentinel-2 satellite imagery, combining shortwave-infrared, near-infrared, and red light bands.

How & where you'd use it. Helps analysts quickly distinguish burned land, water, and healthy vegetation when assessing disasters.

What's measured

hlsswirfalsecolorcomposite

Coverage & cadence

  • Time span2023-08-08 → 2023-08-13
  • Spatial extent-157.08, 20.686, -156.007, 21.692
  • FormatsCOG

What you can do with it

  • Track deforestation, fire scars and land-cover change
  • Monitor crop and vegetation health (NDVI/EVI)
  • Map how built-up vs. green an area is over time
Official description

HLS falsecolor composite imagery using Bands 12, 8A, and 4.

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-swir-falsecolor-composite")
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).