MODIS/Aqua Snow Cover Daily L3 Global 0.05Deg CMG, Version 5  View Catalog Page Entry ID
MYD10C1V5
Summary
The MODIS/Aqua Snow Cover Daily L3 Global 0.05Deg CMG (MYD10C1) data set contains snow cover and Quality Assessment (QA) data, latitudes and longitudes in compressed Hierarchical Data Format-Earth Observing System (HDF-EOS) format, and corresponding metadata. This data set consists of 7200 columns by 3600 rows of global arrays of snow cover in a 0.05 degree Climate Modeling Grid (CMG). MODIS snow cover data are based on a snow mapping algorithm that employs a Normalized Difference Snow Index (NDSI) and other criteria tests.
Until the reprocessing campaign is finished, the complete set of Version 4 (V004) data will remain available. Thus, if you need V004 documentation, please contact the National Snow and Ice Data Center (NSIDC) User Services at http://nsidc.org/forms/contact.html.
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Caption: MYD10C1 V004 data, 08 February 2004
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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/Aqua Snow Cover Daily L3 Global 0.05Deg CMG, Version 5
Dataset Release Date: 2006-12-18
Dataset Release Place: Boulder, CO U.S.A.
Dataset Publisher: National Snow and Ice Data Center (NSIDC)
Version: 5
Online Resource: http://nsidc.org/data/myd10c1v5.html
Temporal Coverage
Start Date: 2002-07-04
Data Resolution
Latitude Resolution: 0.05 deg
Longitude Resolution: 0.05 deg
Temporal Resolution: Daily
Location Keywords
- Geographic Region Global Land
Science Keywords
- Cryosphere Snow/Ice Snow Cover
- Terrestrial Hydrosphere Snow/Ice Snow Cover
Ancillary Keywords
- Antarctic
- Arctic
- Climate Modeling Grid
- Climatology
- CMG
- DAAC
- ECS
- EOSDIS
- Global
- Global Change
- Gridded
- NASA
- NSIDC
- Polar
- Remote Sensing
- Snow
- Snow Cover
- Snow On Ice
- Swath
- 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
Quality indicators for MODIS snow data can be found in the following 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, snow cover * Snow Spatial QA field.
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:
* MOD10C1 and MYD10C1 Local Snow Cover Attributes, Version 5 * MOD10C1 and MYD10C1 Global Snow Cover Attributes, Version 5
The AutomaticQualityFlag is automatically set according to conditions for meeting data criteria in the snow mapping algorithm. In most cases, the flag is set to either Passed or Suspect, and in rare instances, it may be set to Failed. Suspect means that a significant percentage of the data were anomalous and that further analysis should be done to determine the source of anomalies. The AutomaticQualityFlagExplanation contains a brief message explaining the reason for the setting of the AutomaticQualityFlag. The ScienceQualityFlag and the ScienceQualityFlagExplanation maybe updated after production, either after an automated QA program is run or after the data product is inspected by a qualified snow scientist. Content and explanation of this flag are dynamic so it should always be examined if present in the external metadata file.
The algorithm tests for a variety of anomalous conditions and sets the pixel value accordingly if such conditions are detected. Summary statistics about missing data, the percent cloud cover, the percent of good or other quality data, and snow cover percent are calculated and placed in the metadata for each product. The Snow Spatial QA data field provides additional information on algorithm results for each pixel within a spatial context, and is used as a measure of usefulness for snow-cover data. The QA information tells if algorithm results were nominal, abnormal, or if other defined conditions were encountered for a pixel (Riggs, Hall, and Salomonson 2006).
The NASA Goddard Space Flight Center: MODIS Land Quality Assessment Web site provides updated quality information for each product.
Data Set Progress
IN WORK
Data Center
National Snow and Ice Data Center
Data Center URL: http://nsidc.org
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 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: FTP
Distribution Size: 0.5 - 6.0 MB
Distribution Format: GeoTIFF
Distribution Media: FTP
Distribution Size: 0.5 - 6.0 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
Diner, D. J., J. V. Martonchik, C. Borel, S. A. W. Gerstl, H. R. Gordon, Y. Knyazikhin, R. Myneni, B. Pinty, and M. M. Verstraete. 1999. MISR Level-2 Surface Retrieval Algorithm Theoretical Basis Document. Pasadena, CA: Jet Propulsion Laboratory.
Earth Science Data and Information System (ESDIS). 1996. EOS Ground System (EGS) Systems and Operations Concept. Greenbelt, MD: Goddard Space Flight Center.
Hall, Dorothy K., George A. Riggs, and Vincent V. Salomonson. September 2001a. 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. and J. Martinec. 1985. Remote Sensing of Ice and Snow. London: Chapman and Hall.
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., J. L. Foster, Vincent V. Salomonson, A. G. Klein, and J. Y. L. Chien. 2001b. Development of a Technique to Assess Snow-Cover Mapping Accuracy from Space. IEEE Transactions on Geoscience and Remote Sensing 39(2):232-238.
Hall, Dorothy K. and George A. Riggs. 2006. Assessment of Errors in the MODIS Suite of Snow-Cover Products. Hydrological Processes, in press.
Hapke, B. 1993. Theory of Reflectance and Emittance Spectroscopy. Cambridge: Cambridge University Press.
Klein, A. MODIS Snow Albedo Prototype. 2003. Accessed July 2003.
Klein, A. G. and Julienne Stroeve. 2002. Development and Validation of a Snow Albedo Algorithm for the MODIS Instrument. Annals of Glaciology 34:45-52. Klein, A. G., Dorothy K. Hall, and George A. Riggs. 1998. Improving Snow-Cover Mapping in Forests Through the Use of a Canopy Reflectance Model. Hydrologic Processes 12(10-11):1723-1744.
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, George A., Dorothy K. Hall, and Vincent V. Salomonson. January 2006. MODIS Snow Products User Guide for Collection 4 Data Products. .
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: 2008-03-24
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