Where snow is, cloud-gap-filled (VIIRS, Suomi-NPP, 375 m)
What it measures. Where snow is on the ground each day across the globe, with clouds filled in so the map shows the snow likely hiding underneath cloud cover.
How it's made. Built from the VIIRS daily snow product on the Suomi-NPP satellite, then improved with a 'cloud-gap-filling' step that replaces cloud-blocked pixels with best estimates, mapped to a 375 m grid.
How & where you'd use it. Useful for tracking snow cover for water supply forecasting, flood planning, and climate monitoring without gaps left by clouds.
What's measured
Coverage & cadence
- Time span2012-01-19 → ongoing
- Measured bySuomi-NPP (VIIRS)
- Processing levelLevel 3
- Spatial extent-180, -90, 180, 90
- FormatsHDF-EOS5
- 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 data set contains daily 'cloud-free' snow cover produced from the VIIRS/NPP Snow Cover Daily L3 Global 375m SIN Grid, Version 2 snow cover product. A cloud-gap-filled algorithm is utilized to replace ‘cloud-covered’ pixels with ‘cloud-free pixels’ for the purpose of estimating the snow cover that may exist under current cloud cover. The data are provided daily and mapped to a 375 m sinusoidal grid.
Get the data
import earthaccess
earthaccess.login(strategy="netrc") # free Earthdata Login
results = earthaccess.search_data(
short_name="VNP10A1F",
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. Official links
- Search and order NASA Earth Science data using spatial and temporal filters. Reformatting, reprojecting, and subsetting options are available for some data sets. GET DATA
- Search data by spatial and/or temporal ranges or file name. Choose from various download options, including a Python script. GET DATA
- Quickly download a few files using a web browser, or access data through a command-line utility such as WGET. GET DATA
- A Python library to search and access NASA Earth science data with just a few lines of code GET DATA
- Find more data access options and help resources. VIEW RELATED INFORMATION
- VIIRS/NPP CGF Snow Cover Daily L3 Global 375m SIN Grid, Version 2 User Guide VIEW RELATED INFORMATION
- SNPP/JPSS1 VIIRS Snow Cover Products Collection 2 User Guide [2021] VIEW RELATED INFORMATION
- Continuity of MODIS and VIIRS Snow Cover Extent Data Products for Development of an Earth Science Data Record VIEW RELATED INFORMATION