MODIS/Terra Snow Cover 5-Min L2 Swath 500
Entry ID: MOD10_L2

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Summary
Abstract: The MODIS/Terra Snow Cover 5-Min L2 Swath 500m (MOD10_L2) 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. Latitude and longitude geolocation fields are at 5 km resolution while all other fields are at 500 m resolution. Version 5 (V005), the latest version of the Moderate Resolution Imaging Spectroradiometer (MODIS) data available has two separate snow fields. The first field, snow cover, classifies each cloud-free land or inland water body pixel as snow-covered or snow-free, the second field, fractional snow cover, provides the percent of snow cover within each pixel for land and inland water bodies. MODIS snow cover data are based on a snow mapping algorithm that employs a Normalized Difference Snow Index (NDSI) and other criteria tests. Data are stored in HDF-EOS format, and are available from 24 February 2000 to present via FTP. Data can also be obtained in GeoTIFF format by ordering the data through the Data Pool.

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Description: MODIS Data at NSIDC


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Description: The MODIS Data Web page.


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Description: The MODIS Project Home Web page.


Geographic Coverage
 N: 90.0 S: -90.0  E: 180.0  W: -180.0

Data Set Citation
Dataset Originator/Creator: Hall, D. K., G. A. Riggs, and V. V. Salomonson.
Dataset Title: MODIS/Terra Snow Cover 5-Min L2 Swath 500
Dataset Release Date: 2006-12-18
Dataset Release Place: Boulder, Colorado USA
Dataset Publisher: NSIDC: National Snow and Ice Data Center
Version: 5
Online Resource: http://nsidc.org/data/mod10_l2.html


Temporal Coverage
Start Date: 2000-02-24


Location Keywords
CONTINENT > AFRICA
CONTINENT > ANTARCTICA
CONTINENT > ASIA
CONTINENT > AUSTRALIA/NEW ZEALAND
CONTINENT > EUROPE
CONTINENT > NORTH AMERICA
CONTINENT > SOUTH AMERICA
GEOGRAPHIC REGION > GLOBAL
GEOGRAPHIC REGION > GLOBAL LAND
GEOGRAPHIC REGION > POLAR


Data Resolution
Latitude Resolution: 500 m
Longitude Resolution: 500 m
Temporal Resolution: 00:05:00


Science Keywords
CRYOSPHERE >SNOW/ICE    [Definition]
CRYOSPHERE >SNOW/ICE >LAKE ICE    [Definition]
CRYOSPHERE >SNOW/ICE >RIVER ICE    [Definition]
CRYOSPHERE >SNOW/ICE >SNOW COVER >FRACTIONAL SNOW COVER    [Definition]
CRYOSPHERE >SNOW/ICE >SNOW COVER    [Definition]
TERRESTRIAL HYDROSPHERE >SNOW/ICE    [Definition]
TERRESTRIAL HYDROSPHERE >SNOW/ICE >LAKE ICE    [Definition]
TERRESTRIAL HYDROSPHERE >SNOW/ICE >RIVER ICE    [Definition]
TERRESTRIAL HYDROSPHERE >SNOW/ICE >SNOW COVER >FRACTIONAL SNOW COVER    [Definition]
TERRESTRIAL HYDROSPHERE >SNOW/ICE >SNOW COVER    [Definition]


ISO Topic Category
GEOSCIENTIFIC INFORMATION
IMAGERY/BASE MAPS/EARTH COVER


Platform
TERRA >Earth Observing System, TERRA (AM-1)    [Information]


Instrument
MODIS >Moderate-Resolution Imaging Spectroradiometer    [Information]


Project
EOS >Earth Observing System    [Information]
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 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 Pixel QA data field. These quality indicators are generated during production or in post-production scientific and quality checks of the data product.

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 snow algorithm identifies missing data and reports them in the output product. Certain expected anomalous conditions may exist with the input data such as a few missing lines or unusable data from the MODIS sensor. In these cases, the snow algorithm makes no snow decision for an affected pixel. Summary statistics are calculated for these conditions and reported as Valid EV Obs Band x percent and Saturated EV Obs Band 1 percent local attributes Riggs, Hall, and Salomonson 2006). In addition to these data values, the product contains quality information at the pixel level. The Snow Cover Pixel QA data field provides additional information on algorithm results for each pixel within a MODIS scene and is used as a measure of usefulness for snow-cover data. The QA data are stored as coded integer values and tell if algorithm results were nominal, abnormal, or if other defined conditions were encountered for a pixel (Riggs, Hall, and Salomonson 2006). For example, intermediate checks for theoretical bounding of reflectance data and the NDSI ratio are made in the algorithm. In theory, reflectance values should lie within the 0-100 percent range, and the NDSI ratio should lie within the -1.0 to +1.0 range. Summary statistics are kept for pixels that exceed these theoretical limits; however, the test for snow is done regardless of violations of these limits. The NASA Goddard Space Flight Center: MODIS Land Quality Assessment Web site provides updated quality information for each product.


Keywords
Antarctic
Arctic
Climatology
DAAC
ECS
EOSDIS
Global Change
Lake Ice
NASA
NSIDC
NSIDC DAAC
Polar
Remote Sensing
Snow
Snow Cover
Snow On Ice
Swath


Data Set Progress
IN WORK


Data Center
NASA National Snow and Ice Data Center Distributed Active Archive Center    [Information]
Data Center URL: http://nsidc.org/daac/index.html

Data Center Personnel
Name: NSIDC USER SERVICES
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


National Snow and Ice Data Center    [Information]
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 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



Distribution
Distribution_Media: FTP
Distribution_Size: 0.5 - 10.0 MB
Distribution_Format: GeoTIFF

Distribution_Media: FTP
Distribution_Size: 0.5 - 10.0 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
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


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


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.

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., G.A. Riggs, V.V. Salomonson, N.E. DiGirolamo, and K.J. Bayr. 2002. MODIS snow-cover products. Remote Sensing of the Environment 83: 181-194.

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, in press.

Hapke, B. 1993. Theory of reflectance and emittance spectroscopy. Cambridge: Cambridge University Press.

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.

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.

Salomonson, V. and I. Appel. 2006. Development of the Aqua MODIS NDSI Fractional Snow Cover Algorithm and Validation Results. Transactions on Geoscience and Remote Sensing 44(7):1747-1756.

Salomonson, V. and I. Appel. 2004. Estimating fractional snow cover from MODIS using the normalized difference snow index (NDSI). Remote Sensing of the Environment 89:351-360.

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.

Creation and Review Dates
DIF Creation Date: 2006-12-18
Last DIF Revision Date: 2013-08-13

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