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Full catalog/MI1AC
MI1AC·v002·dataset

Calibration data for the multi-angle camera (MISR)

MISR Level 1A Calibration Data V002
land NASA LARC_CLOUD Level 1A active HDF-EOS2
In plain English

What it measures. Early-stage calibration readings from MISR's nine cameras, stored as raw digital numbers rather than meaningful physical units.

How it's made. Produced from the MISR instrument on the Terra satellite, whose nine cameras view each spot on Earth from different angles in four colors; the raw counts are reformatted but not yet converted to brightness.

How & where you'd use it. A low-level technical input used to calibrate the cameras; it's a building block for processing, not something used directly by most people.

What's measured

SPECTRAL/ENGINEERING › VISIBLE WAVELENGTHS › VISIBLE IMAGERYSPECTRAL/ENGINEERING › VISIBLE WAVELENGTHS › SENSOR COUNTS

Coverage & cadence

  • Time span1999-12-18 → ongoing
  • Measured byTerra (MISR)
  • Processing levelLevel 1A
  • Spatial extent-180, -90, 180, 90
  • FormatsHDF-EOS2
  • StatusACTIVE

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

MI1AC_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1A Calibration data in DN. The data numbers have been commuted from 12-bit to 16-bit, byte-aligned half-word version 2. The MISR instrument consists of nine push-broom cameras that measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.

Get the data

mi1ac_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="MI1AC",
    version="002",
    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 LARC_CLOUD
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.