QuikSCAT & SSM/I Merged Sea Ice Motion (A. Liu)
Analysis by Antony Liu at GSFC has demonstrated the utility of scatterometer
data in observing and tracking sea ice motion. He found that scatterometer
and SSM/I data complement each other in this purpose: that scatterometer
data can provide motion vectors in areas where passive data has difficulties
and vice versa. Ice motion vectors are derived from sensor images using
Two product types are available: postscript images of the ice motion
and self-describing ascii files describing the ice motion vectors. For
distribution, product files are collected in tar files containing two
months of data. The general file name is of the form merged_*_YYMMNN.tar
where YY is the two digit year, MM is the two digit number of the start
month, and NN is the two digit number of the stop month. For more specifics
regarding this product, contact Antony
Related papers describing the technique and its application to NSCAT and SSM/I
Y. Zhao, A.K. Liu, and D.G. Long, Validation of Sea Ice Motion from
QuikSCAT with Those from SSM/I and Buoy, IEEE Transactions on
Geoscience and Remote Sensing, vol. 40, no. 6, pp. 1241-1246, 2002.
A. K. Liu, Y. Zhao, and S. Y. Wu, Arctic sea ice drift from wavelet analysis
of NSCAT and special sensor microwave imager data, J. Geophys. Res.,
vol. 104, pp. 11529-11538, 1999.
A. K. Liu and D. J. Cavalieri, Sea-ice drift from wavelet analysis of DMSP
SSM/I data, Int. J. Remote Sens., vol. 19, pp. 1415-1423, 1998.
Y. Zhao, A. K. Liu, and C. A. Geiger, Arctic sea ice motion from wavelet analysis
of SSM/I data, J. Adv. Mar. Sci. Soci., vol. 4, pp. 313-322, 1998.
D.G. Long and M.R. Drinkwater, Cryosphere applications of NSCAT data, IEEE
Trans. Geosci. Rem. Sens., vol. 37, no. 3, pp. 1671-1684, 1999.