• MODIS Collection 6.1 has been fully reprocessed and temporal coverage is now complete. MODIS Collection 6.0 data sets will be processed continuously through the end of 2022. Data for C6.0 will likely remain available for just a few months thereafter.

MODIS/Aqua Snow Cover 8-Day L3 Global 0.05Deg CMG, Version 61 (MYD10C2)
Data set:
MYD10C2
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This is the most recent version of these data.
Version Summary
1. The low visible reflectance screen for snow cover using bands 2 and 4 was lowered from 0.10 to 0.07.
2. Cloud mask algorithm flags are set for 'probably cloudy' and 'probably clear' sky conditions in the algorithm flags QA data set.

Overview

This global Level-3 (L3) data set provides the maximum percentage of snow-covered land and persistent cloud-covered land observed over eight-days, within 0.05° (approx. 5 km) MODIS Climate Modeling Grid (CMG) cells. Percentages are computed from snow cover observations in the 'MODIS/Aqua Snow Cover 8-Day L3 Global 500m SIN Grid' data set (DOI:10.5067/MODIS/MYD10A2.061). The terms "Version 61" and "Collection 6.1" are used interchangeably in reference to this release of MODIS data.
Data Contributor(s):
Hall, D. K. and G. A. Riggs.
Parameter(s):
SNOW COVER
Platform(s):
Aqua
Sensor(s):
MODIS
Data Format(s):
HDF-EOS2
Temporal Coverage:
4 July 2002 to present
Temporal Resolution:
8 day
Spatial Resolution:
0.05 deg
0.05 deg
Spatial Coverage:
N:
90
S:
-90
E:
180
W:
-180

Data Access & Tools

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Help Articles

Getting started

For the snow cover and sea ice products, users can use MODIS Collections 6 and 6.1 together.
The lag time between observations and availability of MODIS products is only a few days. Lag time may be extended due to satellite maneuvers and extra quality assurance required for the geolocation data after the maneuver.
The following table describes the data subsetting, reformatting, and reprojection services that are currently available for MODIS data via the NASA Earthdata Search tool.
The Normalized Difference Snow Index (NDSI) snow cover is an index that is related to the presence of snow in a pixel and is a more accurate description of snow detection as compared to Fractional Snow Cover (FSC). Snow typically has very high visible (VIS) reflectance and very low reflectance in

How To

Many NSIDC DAAC data sets can be accessed using the NSIDC DAAC's Data Access Tool. This tool provides the ability to search and filter data with spatial and temporal constraints using a map-based interface.
To convert HDF5 files into binary format you will need to use the h5dump utility, which is part of the HDF5 distribution available from the HDF Group. How you install HDF5 depends on your operating system.
Data subscriptions are available for select NSIDC DAAC data collections (found below). Our subscription service automatically sends you new data as they are delivered from active NASA satellite missions.
All data from the NASA National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC) can be accessed directly from our HTTPS file system, using wget or curl. Basic command line instructions are provided in the article below. 
NASA Earthdata Search is a map-based interface where a user can search for Earth science data, filter results based on spatial and temporal constraints, and order data with customizations including re-formatting, re-projecting, and spatial and parameter subsetting.