MODIS/Aqua Sea Ice Extent and IST Daily L3 Global 4km EASE-Grid Day, Version 4  View Catalog Page Entry ID
MYD29E1D
Summary
MODIS/Aqua Sea Ice Extent and IST Daily L3 Global 4km EASE-Grid Day (MYD29E1D) 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 04 July 2002 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.
Multimedia Sample
View full image
Caption: MYD29E1D Version 4 data, 15 September 2002
|
Geographic Coverage
Spatial Coordinates:
N: 90°
S: -90°
E: 180°
W: -180°
|
Data Set Citation
Dataset Creator: D. Hall, V. Salomonson
Dataset Title: MODIS/Aqua 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/myd29e1d.html
Temporal Coverage
Start Date: 2002-07-04
Stop Date: 2006-12-31
Data Resolution
Latitude Resolution: 4 km
Longitude Resolution: 4 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
- DAAC
- ECS
- EOSDIS
- Global Change
- Gridded
- Ice Surface Temperature
- IST
- NASA
- NSIDC
- Polar
- Polar Sea Ice
- Remote Sensing
- Sea Ice
- Sea Ice Extent
- Climatology/Meteorology/Atmosphere
Platform
- AQUA Earth Observing System, AQUA
Instrument
- MODIS Moderate-Resolution Imaging Spectroradiometer
- SPECTRORADIOMETERS
Project
- EOSDIS Earth Observing System Data Information System
- ESIP Earth Science Information Partners Program
Quality
MYD29E1D data quality is greatly improved because of improvements in the MYD29 V004 and MYD29P1D V004 products. In polar regions at the boundary of polar darkness and daylight, inconsistency in features mapped is observed. That inconsistency appears to be related to how observations in darkness are processed in the input data products.
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: MYD29E1D4
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: MYD29E1D4
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 Snow and Ice Products site at NSIDC
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., A. B. Tait, G. A. Riggs, and V. V. Salomonson. 1998. Algorithm Theoretical Basis Document (ATBD) for the MODIS Snow-, Lake Ice- and Sea Ice-Mapping Algorithms (Version 4.0). Electronic version is available online at http://snowmelt.gsfc.nasa.gov/MODIS_Snow/atbd.html.
Hall, D. K. and J. Martinec. 1985. Remote sensing of ice and snow. London: Chapman and Hall.
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 Web. MODIS Science and Instrument Team. 2001. http://modis.gsfc.nasa.gov/. Pearson II, F. 1990. Map projections: theory and applications. Boca Raton, FL: CRC Press, Inc.
Riggs, G., D. Hall, and V. Salomonson. 2001. MODIS sea ice products user's guide. Electronic version is available online at http://modis-snow-ice.gsfc.nasa.gov/siugkc.html.
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.
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: 2004-02-13
Last DIF Revision Date: 2008-04-02
| 
