The Beacon Supergroup in the McMurdo Sound region is a flat lying continental sequence about 2000m thick and ranging in age from Early Devonian to Late Triassic (400 to 180 my BP). A polar wander curve for Antarctica for this 200 my period was attempted and oriented rock samples were collected for analysis. Oriented samples were collected at time intervals of no longer than 0.5 my, roughly every ... 3m. Samples were collected from Mount Bastion, West Beacon and Table Mountain. Contact zones and surrounding sediments associated with a Jurassic dolerite intrusion were sampled for detailed laboratory analysis at Mount Bastion to determine i) the mineralogy of the contact zone to see if any new minerals have been formed as a result of the intrusion and the reactions leading to the formation of these minerals, ii) the distance the underlying sediment has been affected to try and distinguish between sill effects and diagenetic effects and iii) the original temperature of the contact zone. Sedimentary strata of the Beacon Supergroup and the intruding dolerite were mapped at Mount Bastion to aid the paleomagnetic and metamorphism studies. Two detailed sections were measured from the Weller Coal Measures at Mount Bastion, and the Beacon Supergroup and the intruding Ferrar Dolerite were also mapped at Mt Fleming and Horseshoe Mountain including three laterally related sections of the Wellar Coal Measures.
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 Scientific Data Set, for example, Snow Cover; and the Snow ... Spatial QA 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 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.
NASA Goddard Space Flight Center (GSFC)
Science Systems and Applications, Inc.
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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, ... D. 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. , 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.