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Datasets/EMITL2ARFL
d008·dataset

What minerals the surface is made of

EMIT L2A Surface Reflectance
LP DAAC EMITL2ARFL cloud-native 60 m opportunistic COGENVI landmineralshyperspectral

285-band hyperspectral surface reflectance for the EMIT footprint. The data underneath methane retrievals — also enables mineral mapping, vegetation chemistry, water-quality (CDOM), and HABs.

EMIT L2A Surface Reflectance

285-band hyperspectral surface reflectance for the EMIT footprint. The data underneath methane retrievals — also enables mineral mapping, vegetation chemistry, water-quality (CDOM), and HABs.

Access

Gotchas

  • Files are large (~1 GB per granule)
  • Use the EMIT Reader Python package for proper band handling
  • Atmospheric correction over coastal/inland water is challenging
  • Other datasets: d007

Sources

The access details, code, and sources below are kept in the original English for technical accuracy.

Quick access (cloud-direct)

emitl2arfl_access.py
import earthaccess
earthaccess.login(strategy="netrc")

results = earthaccess.search_data(
    short_name="EMITL2ARFL",
    bounding_box=(-122.5, 37.2, -121.8, 37.9),
    temporal=("2024-01-01", "2024-12-31"),
)
files = earthaccess.open(results)   # stream from LP DAAC
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.

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