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Full catalog/NISAR_ANC_AUX
NISAR_ANC_AUX·v1·dataset

Helper reference and calibration files for the NISAR radar satellite (NASA and India)

NISAR Ancillary and Auxiliary Data
land NASA ASF Level Not Provided active XMLCSVGeoPackageHDF5
In plain English

What it measures. A collection of supporting reference files for the NISAR radar mission, including things like instrument calibration files, antenna patterns, ground-target reflector locations, and lookup tables. These are technical helpers, not Earth measurements.

How it's made. Produced a limited number of times by the NASA-ISRO NISAR mission team to support processing of the satellite's radar data.

How & where you'd use it. A behind-the-scenes input used in producing and calibrating NISAR's main data products, rather than something most people would use directly.

What's measured

SPECTRAL/ENGINEERING › RADAR

Coverage & cadence

  • Time span2022-01-01 → ongoing
  • Measured byNISAR (L-SAR)
  • Processing levelLevel Not Provided
  • Spatial extent-180, -90, 180, 90
  • FormatsXML, CSV, GeoPackage, HDF5, YAML
  • 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

The NASA-ISRO Synthetic Aperture Radar (NISAR) Ancilliary and Auxiallry collection contains products that are supplementary information for the NISAR mission and are created a limited number of times. The collection contains Time Series Ratio (TSR_STATIC), Physical Model Inversion (PMI_STATIC), Corner Reflector locations (CORNER_REFL), Combined ADT Flight Table (INT_CAL), LSAR Calibration File (EXT_CAL), Flight Table Waveform (FT_WAVEFORM), Flight Table Parameters (FT_PARAM), Antenna Pattern (ANTPAT), Block Floating Point Quantization Look-up Table (BFPQ), Track Frame Database (TFDB), L-SAR Channel Data (L_CHAN_DATA), Soil Moisture Static File (SM_STATIC), and Disaggregation File (DSG_STATIC).

Get the data

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

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