Where there's snow, gap-filled (NOAA-20, daily, 375 m)
What it measures. A daily, cloud-free map of where snow covers the land. Where clouds blocked the view, the dataset fills in a best estimate of the snow likely underneath.
How it's made. Built from the VIIRS instrument on the NOAA-20 satellite, then run through a gap-filling step that replaces cloud-blocked pixels and maps everything to a roughly 375-meter grid.
How & where you'd use it. Helps with tracking snow seasons, water supply forecasting, and flood and climate studies, since a cloud-free daily snow map is more usable than one full of gaps.
What's measured
Coverage & cadence
- Time span2018-01-05 → ongoing
- Measured byJPSS-1 (VIIRS) · NOAA-20 (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/JPSS-1 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="VJ110A1F",
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
- Quickly download a few files using a web browser, or access data through a command-line utility such as WGET. GET DATA
- 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
- 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/JPSS1 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