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MODIS/Terra Snow Cover Daily L3 Global 500m Grid, Version 4 Entry ID: MOD10A1 |
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Summary
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Abstract:
MODIS/Terra Snow Cover Daily L3 Global 500m Grid (MOD10A1) contains snow cover and quality assurance (QA) data in HDF-EOS format along with corresponding metadata. Data files after 14 September 2003 include a snow albedo array with a beta status. MOD10A1 consists of 1200 km by 1200 km tiles of 500 m resolution data gridded in a sinusoidal map projection. MODIS/Terra V004 data extend from 24 February 2000 to present. MODIS snow cover data are based on a snow mapping algorithm that employs a Normalized Difference Snow Index (NDSI) and other criteria tests. 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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Related URL
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Link:
View Related Information
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Geographic Coverage
| N: 90.0 | S: -90.0 | E: 180.0 | W: -180.0 |
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Data Set Citation
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Dataset Originator/Creator:
Hall, Dorothy K, George A. Riggs, Vincent V. Salomonson
Dataset Title: MODIS/Terra Snow Cover Daily L3 Global 500m Grid, 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/mod10a1.html |
Temporal Coverage
| Start Date: 2000-02-24 |
| Stop Date: 2007-01-03 |
Location Keywords
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GEOGRAPHIC REGION
> GLOBAL LAND
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Data Resolution
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Latitude Resolution:
500 m
Longitude Resolution: 500 m Temporal Resolution: Daily |
Science Keywords
| CRYOSPHERE >SNOW/ICE >ALBEDO [Definition] |
| CRYOSPHERE >SNOW/ICE >LAKE ICE [Definition] |
| CRYOSPHERE >SNOW/ICE >SNOW COVER [Definition] |
| TERRESTRIAL HYDROSPHERE >SNOW/ICE >ALBEDO [Definition] |
| TERRESTRIAL HYDROSPHERE >SNOW/ICE >LAKE ICE [Definition] |
| TERRESTRIAL HYDROSPHERE >SNOW/ICE >SNOW COVER [Definition] |
ISO Topic Category
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GEOSCIENTIFIC INFORMATION
INLAND WATERS |
Platform
| TERRA >Earth Observing System, TERRA (AM-1) [Information] |
Instrument
| MODIS >Moderate-Resolution Imaging Spectroradiometer [Information] |
| SPECTRORADIOMETERS [Information] |
Project
| EOSDIS >Earth Observing System Data Information System [Information] |
| ESIP >Earth Science Information Partners Program [Information] |
Quality
| Quality indicators for MODIS snow data can be found in the following three 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 Scientific Data Set (SDS), for example, snow cover, Snow Cover PixelQA data 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 documents: MOD10A2 and MYD10A2 Local Snow Cover Attributes, Version 5 document, and the MOD10A2 and MYD10A2 Global Attributes, Version 5 document. 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 are set 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. The NASA Goddard Space Flight Center: MODIS Land Quality Assessment Web site provides updated quality information for each product. 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: |
Keywords
| Antarctic |
| Arctic |
| Climatology |
| DAAC |
| ECS |
| EOSDIS |
| Global Change |
| Gridded |
| Integerized Sinusoidal Grid |
| Lake Ice |
| NASA |
| NSIDC |
| Polar |
| Remote Sensing |
| SINUSOIDAL GRID |
| Snow |
| Snow Cover |
| Snow On Ice |
Data Set Progress
| COMPLETE |
Data Center
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NSIDC Distributed Active Archive Center
[Information]
Data Center URL: http://nsidc.org/daac/index.html Dataset ID: MOD10A13, MOD10A14
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National Snow and Ice Data Center
[Information]
Data Center URL: http://nsidc.org Dataset ID: MOD10A13, MOD10A14
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Distribution
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Distribution_Media:
upon request
Distribution_Size: 17 MB (V004), 11.3 MB (V003) Distribution_Format: HDF-EOS |
Personnel
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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 |
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VINCE
V.
SALOMONSON Role: INVESTIGATOR Phone: 801-585-9492 Email: vincent.salomonson at utah.edu Contact Address: University of Utah Department of Meteorology 135 S 1460 E, Rm 809 City: Salt Lake City Province or State: UT Postal Code: 84112 Country: US |
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GEORGE
A.
RIGGS Role: INVESTIGATOR Phone: 301-614-5650 Email: George.A.Riggs at nasa.gov Contact Address: NASA Goddard Space Flight Center (GSFC) Science Systems and Applications, Inc. Code 614.1 City: Greenbelt Province or State: MD Postal Code: 20771 Country: USA |
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NSIDC
USER SERVICES Role: TECHNICAL CONTACT Phone: +1 (303) 492-6199 Fax: +1 (303) 492-2468 Email: nsidc at 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 |
Publications/References
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.
Greuell, W., & Oerlemans, J. (2005). Validation of AVHRR- and MODIS-derived albedos of snow and ice surfaces by means of helicopter measurements. Journal of Glaciology, 51(172): 37-48.
Hall, D.K., G.A. Riggs, and V.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, D.K. and J. Martinec. 1985. Remote sensing of ice and snow. London: Chapman and Hall.
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., J.L. Foster, V.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, D.K., 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.
Justice, C. O. 2002. An overview of MODIS land data processing and product status. Remote Sensing of the Environment, 83(1): 3-15.
Klein, A. MODIS Snow Albedo Prototype. 2003.
Klein, A.G., and J. Stroeve. 2002. Development and validation of a snow albedo algorithm for the MODIS instrument. Annals of Glaciology 34: 45-52.
Klein, A.G., D.K. Hall, and G.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.
Painter, T. H., & Dozier, J. 2004. Measurements of the hemisphericaldirectional reflectance of snow at fine spectral and angular resolution. Journal of Geophysical Research-Atmospheres, 109(D18): D18115. doi:10.1029/2003JD004458.
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. January 2006. MODIS snow products user guide for collection 4 data products.
Stroeve, J., A. Nolin and K. Steffen. 1997. Comparison of AVHRR-derived and in situ surface albedo over the Greenland ice sheet. Remote Sensing of the Environment, 62: 262-276.
Stroeve, J, J.E. Box, T. Haran. 2006. Evaluation of the MODIS (MOD10A1) daily snow albedo product over the Greenland ice sheet. Remote Sensing of the Environment, 105: 155-171. United States Geological Survey. 'Sinusoidal Equal Area.' Map Projections. 2003. http://egsc.usgs.gov/isb/pubs/MapProjections/projections.html#sinus...
Earth Science Data and Information System (ESDIS). 1996. EOS Ground System (EGS) systems and operations concept. Greenbelt, MD: Goddard Space Flight Center.
Greuell, W., & Oerlemans, J. (2005). Validation of AVHRR- and MODIS-derived albedos of snow and ice surfaces by means of helicopter measurements. Journal of Glaciology, 51(172): 37-48.
Hall, D.K., G.A. Riggs, and V.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, D.K. and J. Martinec. 1985. Remote sensing of ice and snow. London: Chapman and Hall.
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., J.L. Foster, V.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, D.K., 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.
Justice, C. O. 2002. An overview of MODIS land data processing and product status. Remote Sensing of the Environment, 83(1): 3-15.
Klein, A. MODIS Snow Albedo Prototype. 2003.
Klein, A.G., and J. Stroeve. 2002. Development and validation of a snow albedo algorithm for the MODIS instrument. Annals of Glaciology 34: 45-52.
Klein, A.G., D.K. Hall, and G.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.
Painter, T. H., & Dozier, J. 2004. Measurements of the hemisphericaldirectional reflectance of snow at fine spectral and angular resolution. Journal of Geophysical Research-Atmospheres, 109(D18): D18115. doi:10.1029/2003JD004458.
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. January 2006. MODIS snow products user guide for collection 4 data products.
Stroeve, J., A. Nolin and K. Steffen. 1997. Comparison of AVHRR-derived and in situ surface albedo over the Greenland ice sheet. Remote Sensing of the Environment, 62: 262-276.
Stroeve, J, J.E. Box, T. Haran. 2006. Evaluation of the MODIS (MOD10A1) daily snow albedo product over the Greenland ice sheet. Remote Sensing of the Environment, 105: 155-171. United States Geological Survey. 'Sinusoidal Equal Area.' Map Projections. 2003. http://egsc.usgs.gov/isb/pubs/MapProjections/projections.html#sinus...
Creation and Review Dates
DIF Creation Date:
2003-05-21
Last DIF Revision Date:
2012-05-04
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