Full catalog/MYD10A1F
MYD10A1F·v61·dataset

Where snow covers the ground, gap-filled daily (MODIS, Aqua, 500 m)

MODIS/Aqua CGF Snow Cover Daily L3 Global 500m SIN Grid V061
cryosphere NASA NSIDC_CPRD Level 3 active HDF-EOS2
In plain English

What it measures. Daily snow cover on the ground, with cloudy spots filled in using the most recent clear-sky view, plus a count of how many days since each spot was last seen clearly. At 500 m resolution.

How it's made. Built from the Aqua MODIS daily snow-cover product by carrying forward clear-sky observations to patch over cloud gaps, tiled across the globe.

How & where you'd use it. Gives a cloud-free daily picture of where snow lies, useful for water-supply forecasting, flood prediction, and climate studies.

What's measured

CRYOSPHERE › SNOW/ICE › SNOW COVER

Coverage & cadence

  • Time span2002-07-04 → ongoing
  • Measured byAqua (MODIS)
  • Processing levelLevel 3
  • Spatial extent-180, -90, 180, 90
  • FormatsHDF-EOS2
  • StatusACTIVE

What you can do with it

  • Measure sea ice, snow cover and glaciers
  • Watch ice-sheet elevation change
  • Track freeze/thaw and permafrost
Official description

This global Level-3 data set (MYD10A1F) provides daily cloud-free snow cover derived from the MODIS/Aqua Snow Cover Daily L3 Global 500m SIN Grid data set (MYD10A1). Grid cells in MYD10A1 which are obscured by cloud cover are filled by retaining clear-sky views of the surface from previous days. A separate parameter is provided which tracks the number of days in each cell since the last clear-sky observation. Each data granule contains a 10° x 10° tile projected to the 500 m sinusoidal grid. The terms "Version 61" and "Collection 6.1" are used interchangeably in reference to this release of MODIS data.

Get the data

myd10a1f_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="MYD10A1F",
    version="61",
    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.