The Terra satellite is scheduled to undergo Constellation Exit Maneuvers (CEM) on October 12 and 19, 2022. All science data acquisition will remain suspended starting October 10 till October 19 as MODIS will remain in a CEM configuration mode until instruments are brought back to their nominal status. Users should exercise caution while using the Terra MODIS data between October 19 and October 21. Post-CEM calibrations will be performed over the following weeks and updates to the calibration reference tables will occur as needed.
Please note that the CEM does not indicate the end of life for the Terra mission, but it does represent a change in orbital positioning. Users who are interested in knowing more about the Terra morning constellation exit can refer to this note. NSIDC will post more updates as they become available on our Data Announcements page.
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.
This is the most recent version of these data.
The C61 science algorithm is the same as the C6 algorithm. Any improvement to the C61 product compared to the C6 product comes from enhancements to the calibration approach used to generate the input products and from updates to the polarization correction used in C61 reprocessing.
This global Level-2 (L2) product provides daily sea ice extent and ice surface temperature. The data are derived from Level-1B radiances acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS) on board the Terra satellite. Each data granule contains 5 minutes of swath data observed at a resolution of 1000 m.
The terms "Version 61" and "Collection 6.1" are used interchangeably in reference to this release of MODIS data.
Programmatically request selected data products through our API. This tool is valuable for selecting just the parameters you need from big data sets. Apply spatial and temporal filters, subsetting, reformatting, and reprojection.
Learn how to discover, access, subset, and visualize Arctic sea ice data from Python-based Jupyter Notebooks. Tutorial comes with open-source libraries to harmonize sea ice height from ICESat-2, and ice surface temperature from MODIS.
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.
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.