[Parameters: Topic='LAND SURFACE', Term='LAND TEMPERATURE', Variable_Level_1='SKIN TEMPERATURE']
AIRS/Aqua Level 3 Daily standard physical retrieval (AIRS-only) V005 (AIRS3STD) at GES DISCEntry ID: GES_DISC_AIRS3STD_V005
Abstract: MODIS/Terra Sea Ice Extent 5-Min L2 Swath 1km (MOD29) contains the following fields: sea ice by reflectance, sea ice by reflectance pixel quality assurance (QA), ice surface temperature (IST), IST pixel QA, sea ice by IST, combined sea ice, latitudes, and longitudes in HDF-EOS format, along with corresponding metadata. Latitude and longitude geolocation fields are at 5 km resolution, while all ... other fields are at 1 km resolution. Version 4 (V004) is the latest version of MOD29 data available. MODIS/Terra V004 data extend from 24 February 2000 to present. The sea ice algorithm uses a Normalized Difference Snow Index (NDSI) modified for sea ice to distinguish sea ice from open ocean, based on reflective and thermal characteristics. The only data available for Version 4 (V004) is the Golden Month, which is a sample of V004 data covering the time period 29 August 2002 (day of year 241) through 7 October 2002 (day of year 280). The Golden Month is only available by special request by contacting NSIDC User Services. Please note that NSIDC now has a complete series of Version 5 data, which is the highest version number now available and represents the best quality of data.
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Data Set Citation
Dataset Originator/Creator: D. Hall, V. Salomonson
Dataset Title: MODIS/Terra Sea Ice Extent 5-Min L2 Swath 1km, Version 4
Dataset Release Date: 2000-09-01
Dataset Release Place: Boulder, CO U.S.A.
Dataset Publisher: National Snow and Ice Data Center (NSIDC)
Version: 4Online Resource: http://nsidc.org/data/mod29.html
Start Date: 2000-02-24Stop Date: 2006-12-31
Latitude Resolution: 1 km
Longitude Resolution: 1 km
Temporal Resolution: 5 minutes
ISO Topic Category
Quality All MODIS/Terra sea ice products are considered validated - stage 1 meaning that accuracy has been estimated using a small number of independent measurements obtained from selected locations and time periods and ground-truth/field program effort. Analysis of the quality of the sea ice data products is an ongoing activity. Specific information on the science quality of the sea ice data products is ... reported in the ScienceQualityFlagExplanation object in the CoreMetadata.0 global attribute. The URL for the quality assessment site is given in the product metadata and is linked to from the EOS Data Gateway (EDG) when ordering data. The ScienceQualityFlagExplanation is changed in response to analysis and should be checked for updated information. In the MOD29 and MOD29P1D data products there are two instances of the ScienceQualityFlagExplanation, one for sea ice determined by reflectance data and one for IST written in the metadata. Information on both is posted at that URL. The Ice Surface Temperature PixelQA and the Sea Ice by Reflectance PixelQA 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 bit flags. QA information is extracted by reading the bits within a byte (See MODIS Sea Ice Quality Assurance Fields). The QA information tells if algorithm results were nominal, abnormal, or if other defined conditions were encountered for a pixel (Riggs, Hall, and Salomonson 2003). See MODIS Land Quality Assessment for further details.
Data Set Progress
Distribution Media: upon request
Distribution Size: 20.20 MB and 11.95 MB
Distribution Format: HDF-EOS
National Aeronautics and Space Administration (NASA) Goddard Space Flight Center (GSFC) Mail stop 614.1
Province or State: MD
Postal Code: 20771
Email: vincent.salomonson at utah.edu
University of Utah Department of Meteorology 135 S 1460 E, Rm 809
City: Salt Lake City
Province or State: UT
Postal Code: 84112
Email: George.A.Riggs at nasa.gov
NASA Goddard Space Flight Center (GSFC) Science Systems and Applications, Inc. Code 614.1
Province or State: MD
Postal Code: 20771
Role: TECHNICAL CONTACT
Phone: +1 (303) 492-6199
Fax: +1 (303) 492-2468
Email: nsidc at nsidc.org
National Snow and Ice Data Center CIRES, 449 UCB University of Colorado
Province or State: CO
Postal Code: 80309-0449
Earth Science Data and Information System (ESDIS). 1996. EOS Ground System (EGS) systems and operations concept. Greenbelt, MD: Goddard Space Flight Center.
Hall, D. 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, D. ... 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, D. K. and J. Martinec. 1985. Remote sensing of ice and snow. London: Chapman and Hall.
Hall, D. K., G. A. Riggs, and V. 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, D. K., G. A. Riggs, and V. 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, D. K. and G. 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, C. 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, M. 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, G. A., D. K. Hall, and V. V. Salomonson. February 2003. MODIS sea ice products user guide.
Riggs, G. A., D. 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.
Creation and Review Dates
DIF Creation Date: 2001-02-01
Last DIF Revision Date: 2012-05-13