Abstract:
MODIS/Terra Sea Ice Extent Daily L3 Global 1km EASE-Grid Day (MOD29P1D) data set contains fields for Sea Ice by Reflectance, Sea Ice by Reflectance Spatial QA, Ice Surface Temperature (IST), and Ice Surface Temperature Spatial QA in Hierarchical Data Format-Earth Observing System (HDF-EOS) format, along with corresponding metadata. The fields Sea Ice by IST and Combined Sea Ice that were in ... Version 4 were removed from Version 5. MOD29P1D Version 5 (V005), the latest version of the Moderate Resolution Imaging Spectroradiometer (MODIS) data, consists of 954 x 954 km files of 1 km resolution data gridded in the Lambert Azimuth Equal Area map projection. The 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. 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.
Latitude Resolution:
1 km
Longitude Resolution:
1 km
Horizontal Resolution Range:
1 km - < 10 km or approximately .01 degree - < .09 degree
Temporal Resolution:
Daily
Temporal Resolution Range:
Daily - < Weekly
Quality
All MODIS/Aqua sea ice products are considered validated at stage 2 meaning that accuracy has been assessed over a widely distributed set of locations and time periods via several ground-truth and validation campaigns. Quality indicators for MODIS sea ice 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 SDS, for example Ice Surface Temperature * The Pixel QA SDS that accompanies each data field, for example, Ice Surface Temperature Spatial QA. 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: * MOD29P1D and MYD29P1D Local Sea Ice Attributes, Version 5 * MOD29P1D and MYD29P1D Global Sea Ice Attributes, Version 5 The ScienceQualityFlag and the ScienceQualityFlagExplanation may be updated after production, either after an automated QA program is run or after the data product is inspected by a qualified scientist. Content and explanation of this flag are dynamic so it should always be examined if present in the external metadata file. A sampling of products will be inspected. Random sampling or support of specific events, such as field campaigns, may also be conducted. The IST Spatial QA and Sea Ice by Reflectance Spatial QA 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 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).
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
Publications/References
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. 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.
