MODIS/Terra Sea Ice Extent Daily L3 Global 1km EASE-Grid Night, Version 4 View Catalog Page Entry ID
MOD29P1N
Summary
MODIS/Terra Sea Ice Extent Daily L3 Global 1km EASE-Grid Night (MOD29P1N) contains the following fields: ice surface temperature (IST), IST spatial QA, and sea ice by IST in HDF-EOS format along with corresponding metadata. Version 4 (V004) is the latest version of MODIS 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.
Geographic Coverage
Spatial Coordinates: N: 90°
S: -90°
E: 180°
W: -180°
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Data Set Citation
Dataset Creator: D. Hall, V. Salomonson Dataset Title: MODIS/Terra Sea Ice Extent Daily L3 Global 1km EASE-Grid Night, 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: 4 Online Resource: http://nsidc.org/data/mod29p1n.html
Temporal Coverage
Start Date: 2000-02-24 Stop Date: 2006-12-31
Data Resolution
Latitude Resolution: 1 km Longitude Resolution: 1 km Temporal Resolution: Daily
Location Keywords
- Geographic Region
Global Ocean
Science Keywords
- Cryosphere
Sea Ice Ice Extent
- Cryosphere
Sea Ice Ice Temperature
- Oceans
Sea Ice Ice Extent
- Oceans
Sea Ice Ice Temperature
Ancillary Keywords
- Antarctic
- Arctic
- Climatology
- DAAC
- EASE-Grid
- ECS
- EOSDIS
- Global Change
- Gridded
- Ice Surface Temperature
- IST
- NASA
- NSIDC
- Polar
- Remote Sensing
- Sea Ice
- Swath
- Climatology/Meteorology/Atmosphere
Platform
- TERRA
Earth Observing System, TERRA (AM-1)
Instrument
- MODIS
Moderate-Resolution Imaging Spectroradiometer
- SPECTRORADIOMETERS
Project
- EOSDIS
Earth Observing System Data Information System
- ESIP
Earth Science Information Partners Program
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 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
COMPLETE
Data Center
National Snow and Ice Data Center Data Center URL: http://nsidc.org Data Set ID: MOD29P1N3, MOD29P1N4
Data Center Personnel
Name: NSIDC User Services Phone: +1 (303) 492-6199 Fax: +1 (303) 492-2468 Email: nsidc@nsidc.org Contact Address: National Snow and Ice Data Center CIRES, 449 UCB University of Colorado City: Boulder Province or State: CO Postal Code: 80309-0449 Country: USA
NSIDC Distributed Active Archive Center Data Center URL: http://nsidc.org/daac/index.html Data Set ID: MOD29P1N3, MOD29P1N4
Data Center Personnel
Name: NSIDC DAAC User Services Phone: +1 (303) 492-6199 Fax: +1 (303) 492-2468 Email: nsidc@nsidc.org Contact Address: National Snow and Ice Data Center CIRES, 449 UCB University of Colorado City: Boulder Province or State: CO Postal Code: 80309-0449 Country: USA
Distribution
Distribution Media: upon request Distribution Size: 3.69 MB Distribution Format: HDF-EOS
Personnel
Dorothy K. Hall Role: INVESTIGATOR Contact Address: National Aeronautics and Space Administration (NASA) Goddard Space Flight Center (GSFC) Mail stop 614.1 City: Greenbelt Province or State: MD Postal Code: 20771
Vince V. Salomonson Role: INVESTIGATOR Contact Address: Room 809 WBB Department of Meteorology University of Utah City: Salt Lake City Province or State: UT Postal Code: 84112 Country: US
George A. Riggs Role: INVESTIGATOR Contact Address: NASA Goddard Space Flight Center (GSFC) Science Systems and Applications, Inc. Mail stop 614.1 City: Greenbelt Province or State: MD Postal Code: 20771
NSIDC USER SERVICES Role: TECHNICAL CONTACT Phone: +1 (303) 492-6199 Fax: +1 (303) 492-2468 Email: nsidc@nsidc.org Contact Address: National Snow and Ice Data Center CIRES, 449 UCB University of Colorado City: Boulder Province or State: CO Postal Code: 80309-0449 Country: USA
Related URL
http://nsidc.org/daac/modis/
Reference
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, 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, 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. .
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. , 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. MODIS Science and Instrument Team. MODIS Web. July 2003. Accessed October 2000.
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.
Metadata Name and Version
Metadata Name: CEOS IDN DIF Metadata Version: 9.7
Creation and Review Dates
DIF Creation Date: 2001-02-01 Last DIF Revision Date: 2008-03-31
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