Full catalog/IRTIT3
IRTIT3·v2·dataset

Ice sheet thickness from airborne radar

IceBridge Radar L3 Tomographic Ice Thickness V002
land NASA NSIDC_CPRD Level 3 netCDF-4
In plain English

What it measures. How thick the ice sheets are over parts of Greenland and Antarctica, including the estimated error in each thickness, and in some files the elevation of the bedrock beneath the ice.

How it's made. Derived from airborne radar (the CReSIS depth-sounding instrument) flown on DC-8 and P-3 aircraft during NASA's Operation IceBridge campaigns, processed into thickness maps.

How & where you'd use it. Helps glaciologists understand ice-sheet structure and the land hidden beneath the ice, important for sea-level and ice-loss research.

What's measured

LAND SURFACE › TOPOGRAPHY › TERRAIN ELEVATION › BED ELEVATIONCLIMATE INDICATORS › CRYOSPHERIC INDICATORS › GLACIAL MEASUREMENTS › GLACIER/ICE SHEET THICKNESS

Coverage & cadence

  • Time span2010-11-20 → 2013-04-20
  • Measured byDC-8 (MCoRDS) · P-3B (MCoRDS)
  • Processing levelLevel 3
  • Spatial extent-74, 59, -12, 83
  • FormatsnetCDF-4
  • 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

This data set contains Level-3 tomographic ice thickness measurements and ice thickness errors over areas of Greenland and Antarctica. Two of the data files additionally provide bed elevation measurements. The data were derived from measurements taken by the Center for Remote Sensing of Ice Sheets (CReSIS) Multichannel Coherent Radar Depth Sounder (MCoRDS) instrument and were collected as part of NASA Operation IceBridge funded campaigns.

Get the data

irtit3_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="IRTIT3",
    version="2",
    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 NSIDC_CPRD
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.