MODIS/Terra Sea Ice Extent and IST Daily L3 Global 4km EASE-Grid Day, Version 4

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Entry ID

MOD29E1D

Summary

MODIS/Terra Sea Ice Extent and IST Daily L3 Global 4km EASE-Grid Day (MOD29E1D) contains the following fields: sea ice by reflectance and ice surface temperature (IST). Each data granule covers the entire globe with two separate arrays of 4321 x 4321 pixels: one for the Arctic and one for the Antarctic. Data extend from 15 September 2003 to present. Version 4 (V004) is the latest version of MODIS data available from NSIDC. The MODIS 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.

Data Set Citation

Dataset Creator: D. Hall, V. Salomonson
Dataset Title: MODIS/Terra Sea Ice Extent and IST Daily L3 Global 4km EASE-Grid Day, Version 4
Dataset Release Date: 2000-09-01
Dataset Release Place: Boulder, CO
Dataset Publisher: National Snow and Ice Data Center (NSIDC)
Version: 4
Online Resource: http://nsidc.org/data/mod29e1d.html

Temporal Coverage

Start Date: 2003-09-15
Stop Date: 2006-12-31

Data Resolution

Latitude Resolution: 4 km
Longitude Resolution: 4 km
Temporal Resolution: Daily

Location Keywords

• Continent Antarctica
• Geographic Region Arctic
• Geographic Region Global Ocean
• Geographic Region Polar

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
• DAAC
• EASE-Grid
• ECS
• EOSDIS
• Global Change
• Gridded
• Ice Extent
• Ice Surface Temperature
• IST
• NASA
• NSIDC
• Polar
• Polar Sea Ice
• Remote Sensing
• Sea Ice
• Sea Ice Extent

ISO Topic Category (View Definitions)

• 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 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

COMPLETE

Data Center

National Snow and Ice Data Center
Data Center URL: http://nsidc.org
Data Set ID: MOD29E1D4

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: MOD29E1D4

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: 109.5 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

VIEW RELATED INFORMATION
MODIS Data at NSIDC DAAC page

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. 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. 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: 2003-11-14
Last DIF Revision Date: 2008-04-02

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