2026-09-19T21:19:04Zhttp://nsidc.org/api/dataset/metadata/oaioai:nsidc.org/MYD29P1D.0062026-08-19T22:16:13Zcumulusecsretirednasa_nsidc_daac
MYD29P1D.006MODIS/Aqua Sea Ice Extent Daily L3 Global 1km EASE-Grid DayHall, D. K. & Riggs, G. A.MODIS/Aqua Sea Ice Extent Daily L3 Global 1km EASE-Grid Day2015-05-27Boulder, Colorado USANASA NSIDC DAAC: NASA National Snow and Ice Data Center Distributed Active Archive Center6false10.5067/MODIS/MYD29P1D.006https://nsidc.org/sites/default/files/documents/user-guide/archived-myd29p1d-v006-userguide.pdfMYD29P1DTechnical ContactNSIDCUser Servicesnsidc@nsidc.org1-303-492-61991-303-492-2468CIRES, 449 UCBUniversity of ColoradoBoulderCO80309-0449USAEARTH SCIENCECRYOSPHERESEA ICEICE EXTENT EARTH SCIENCECRYOSPHERESEA ICEICE TEMPERATURE Climatology/Meteorology/AtmosphereImagery/Base Maps/Earth CoverAntarcticArcticClimatologyDAACEASE-GridEASE-Grid-projectEASE-Grid Sea Ice-projectECSEOSDISGlobal ChangeGriddedIce Surface TemperatureISTMODIS-projectNASANSIDCPolarRemote Sensingsea-iceSea IceSea Ice Visible/Infrared-projectSIPN sea ice-projectMODISModerate-Resolution Imaging SpectroradiometerAquaEarth Observing System, Aqua2002-07-042023-02-26deprecated-9090-180180GEOGRAPHIC REGIONGLOBAL OCEAN1 km1 km1 dayAll MODIS/Aqua sea ice products are considered validated at stage 2 meaning that accuracy has been assessed over a widely distributed set of locations and time periods via several ground-truth and validation campaigns.
Quality indicators for MODIS sea ice data can be found in the following three places:
* AutomaticQualityFlag and the ScienceQualityFlag metadata objects and their corresponding explanations: AutomaticQualityFlagExplanation and ScienceQualityFlagExplanation located in the CoreMetadata.0 global attributes
* Custom local attributes associated with each SDS, for example Ice Surface Temperature
* The Pixel QA SDS that accompanies each data field, for example, Ice Surface Temperature Spatial QA.
These quality indicators are generated during production or in post-production scientific and quality checks of the data product. For more information on local and global attributes, go to one of the following links:
* MOD29P1D and MYD29P1D Local Sea Ice Attributes, Version 5
* MOD29P1D and MYD29P1D Global Sea Ice Attributes, Version 5
The ScienceQualityFlag and the ScienceQualityFlagExplanation may be updated after production, either after an automated QA program is run or after the data product is inspected by a qualified scientist. Content and explanation of this flag are dynamic so it should always be examined if present in the external metadata file. A sampling of products will be inspected. Random sampling or support of specific events, such as field campaigns, may also be conducted.
The IST Spatial QA and Sea Ice by Reflectance Spatial QA data fields provide additional information on algorithm results for each pixel within a spatial context, and are used as a measure of usefulness for sea ice data. QA data are stored as coded integer values and tell if algorithm results were nominal, abnormal, or if other defined conditions were encountered for a pixel (Riggs, Hall, and Salomonson 2006).
See the MODIS Land Quality Assessment Web page for further details.These data have been retired and are no longer accessible.These data have been retired and are no longer available for use. Cite any prior or planned use of these data according to the recommended citation at https://nsidc.org/about/data-use-and-copyright. For more information on the NASA EOSDIS Data Use Policy, see https://earthdata.nasa.gov/earth-observation-data/data-use-policy.EnglishNASA NSIDC DAACNASA National Snow and Ice Data Center Distributed Active Archive Centerhttps://nsidc.org/daacData Center ContactNSIDCUser Servicesnsidc@nsidc.org1-303-492-6199National Snow and Ice Data CenterCIRES, 449 UCBUniversity of ColoradoBoulderCO80309-0449USAHTTPS0.05 - 1.5 MBXMLHTTPS0.05 - 1.5 MBJPEGHTTPS0.05 - 1.5 MBHDF-EOS2Earth Science Data and Information System (ESDIS). 1996. EOS Ground System (EGS) systems and operations concept. Greenbelt, MD: Goddard Space Flight Center.
Hall, Dorothy K., J. L. Foster, D. L. Verbyla, A. G. Klein, and C. S. Benson. 1998. Assessment of snow cover mapping accuracy in a variety of vegetation cover densities in central Alaska. Remote Sensing of the Environment 66:129-137.
Hall, Dorothy K., Jeffrey R. Key, Kimberly A. Casey, George A. Riggs, and Donald Cavalieri. May 2004. Sea ice surface temperature product from MODIS. IEEE Transactions on Geoscience and Remote Sensing 42:5.
Hall, Dorothy K. and J. Martinec. 1985. Remote sensing of ice and snow. London: Chapman and Hall.
Hall, Dorothy K., George A. Riggs, and Vincent V. Salomonson. 1995. Development of methods for mapping global snow cover using Moderate Resolution Imaging Spectroradiometer (MODIS). Remote Sensing of the Environment 54(2): 127-140.
Hall, Dorothy K., George A. Riggs, and Vincent V. Salomonson. September 2001. Algorithm Theoretical Basis Document (ATBD) for the MODIS Snow-, Lake Ice- and Sea Ice-Mapping Algorithms. Greenbelt, MD: Goddard Space Flight Center.
Hall, Dorothy K., George A. Riggs. 2006. Assessment of errors in the MODIS suite of snow-cover products. Hydrological Processes.
Hapke, B. 1993. Theory of reflectance and emittance spectroscopy. Cambridge: Cambridge University Press.
Key, J. R., J. B. Collins, Chuck Fowler, and R. S. Stone. 1997.High latitude surface temperature estimates From thermal satellite data. Remote Sensing of the Environment 61:302-309.
Key, J. R., J. A. Maslanik, T. Papakyriakou, Mark C. Serreze, and A. J. Schweiger. 1994. On the validation of satellite-derived sea ice surface temperature. Arctic 47:280-287.
Markham, B. L. and J. L. Barker. 1986. Landsat MSS and TM post-calibration dynamic ranges, exoatmospheric reflectances and at-satellite temperatures. EOSAT Technical Notes 1:3-8.
MODIS Characterization and Support Team (MCST). 2000. MODIS Level-1B product user's guide for Level-1B Version 2.3.x Release 2. MCST Document #MCM-PUG-01-U-DNCN.
Pearson II, F. 1990. Map projections: theory and applications. Boca Raton, FL: CRC Press, Inc.
Riggs, George A., Dorothy K. Hall, and Vincent V. Salomonson. February 2003. MODIS sea ice products user guide.
Riggs, George A., Dorothy K. Hall, and S. A. Ackerman. 1999. Sea ice extent and classification mapping with the Moderate Resolution Imaging Spectroradiometer Airborne Simulator. Remote Sensing of the Environment 68: 152-163.
Scambos, Ted A., Terry M. Haran, and Robert Massom. In press. Validation of AVHRR and MODIS Ice Surface Temperature Products Using In Situ Radiometers. Annals of Glaciology 44.
Wiscombe, W. J. and S. G. Warren. 1980. A Model for the Spectral Albedo of Snow I: Pure Snow. Journal of the Atmospheric Sciences 37:2712-2733.The MODIS/Aqua Sea Ice Extent Daily L3 Global 1km EASE-Grid Day (MYD29P1D) data set contains tiles of daily 1 km resolution sea ice extent, ice surface temperature, and quality assessment data gridded to the Equal Area Scalable Earth Grid (EASE-Grid).
As of August 2023, this data set is retired and no longer available for download. We recommend using <a href="https://nsidc.org/data/myd29p1d/versions/61">MODIS/Aqua Sea Ice Extent Daily L3 Global 1km EASE-Grid Day, Version 61</a> as an alternative.VIEW RELATED INFORMATIONhttps://nsidc.org/sites/default/files/documents/user-guide/archived-myd29p1d-v006-userguide.pdfMODIS/Aqua Sea Ice Extent Daily L3 Global 1km EASE-Grid Day, Version 6 User GuidePROJECT HOME PAGEhttp://nsidc.org/data/modis/MODIS Data at NSIDCCEOS IDN DIFVERSION 9.92015-05-272026-08-19NSIDCVersion SummarySea ice extent and ice surface temperature algorithms and data sets are the same as Version 5. However, revisions and improvements for Version 6 to algorithm inputs have improved sea ice outputs as follows:
<ul>
<li>Revised calibration of MYD02 thermal bands 31 and 32 decreased calculated brightness temperatures by about -0.01 K and improved accuracy for very cold scenes;</li>
<li>The Version 6 land/water mask in the MYD03 geolocation product increased the accuracy of water body and coastline maps;</li>
<li>Revisions to the MYD35_L2 cloud mask algorithm have increased the accuracy of cloud detection.</li>
</ul>NSIDCMinor VersionNSIDCSpatial Reference SystemsEPSG:3408NSIDC EASE-Grid NorthEPSG:3409NSIDC EASE-Grid SouthNSIDCLevel of ServiceNo Data AccessNSIDCFull Dataset CitationHall, D. K. & Riggs, G. A. (2015). <i>MODIS/Aqua Sea Ice Extent Daily L3 Global 1km EASE-Grid Day</i>. (MYD29P1D, Version 6). [Data Set]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. <a href="https://doi.org/10.5067/MODIS/MYD29P1D.006">https://doi.org/10.5067/MODIS/MYD29P1D.006</a>. [<i><describe subset used if applicable></i>].NSIDCRetiredtrue