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Full catalog/goesrpltaviris
goesrpltaviris·v1·dataset

Airborne imaging of land in many light colors (AVIRIS)

GOES-R PLT Airborne Visible/Infrared Imaging Spectrometer (AVIRIS)
land NASA GHRC_DAAC Level 2 ASCIIBinary
In plain English

What it measures. Airborne images of the land below split into many bands of light, including how much light the surface reflects and indicators of water phase, plus navigation data.

How it's made. Recorded by the AVIRIS imaging spectrometer flying on NASA's high-altitude ER-2 aircraft during a 2017 campaign supporting the GOES-R satellite.

How & where you'd use it. Was gathered to help check and validate the imagery from the GOES-R weather satellite's instruments after launch.

What's measured

Spectral/Engineering › Infrared Wavelengths › Infrared RadianceSpectral/Engineering › Visible Wavelengths › Visible Radiance

Coverage & cadence

  • Time span2017-04-11 → 2017-05-14
  • Measured byNASA ER-2 (AVIRIS)
  • Processing levelLevel 2
  • Spatial extent-118.198, 26.449, -72.2016, 43.5726
  • FormatsASCII, Binary
  • StatusCOMPLETE

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

The GOES-R PLT Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) dataset consists of radiance, reflectance, water phase, and navigation data delivered by the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) flown aboard the NASA ER-2 high-altitude aircraft during the GOES-R PLT field campaign. This field campaign took place from March through May 2017 in support of post-launch L1B and L2+ product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM) satellite instruments. The GOES-R PLT AVIRIS data files are available from April 11, 2017 through May 14, 2017 in ASCII and binary formats along with browse imagery files in JPG format.

Get the data

goesrpltaviris_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="goesrpltaviris",
    version="1",
    bounding_box=(-122.5, 37.2, -121.8, 37.9),  # your area (W,S,E,N)
    temporal=("2024-01-01", "2024-12-31"),       # your dates
)
files = earthaccess.open(results)   # stream straight from GHRC_DAAC
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.