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Remote sensing science is one of the most modern approaches for studying oceans, littoral regions, seas and large lakes, as well as sea ice covered regions. An important aspect of remote sensing scien...
Sea ice concentration (SIC) data acquired by passive microwave sensors at daily temporal frequencies over extended areas provide seasonal characteristics of sea ice dynamics and play a key role as an ...
The trends in the sea ice cover in the two hemispheres have been observed to be asymmetric with the rate of change in the Arctic being negative at −3.8 % per decade while that of the Antar...
In this paper we estimate the motion between time-lagged Synthetic Aperture Radar (SAR) image pairs via an implicit quad-tree scheme. The algorithm provides a means to estimate motion at a spatial res...
A low-cost Twin-Otter based laser altimetry and scanning system have been set up by KMS in several different commercial aircraft, and flown extensively in connection with airborne gravity activities i...
Sea ice drift vectors extracted from satellite passive microwave sensors data are widely used today. However, the validation of which has not been done much so far. In this study, the sea ice drift ve...
Much of what we know about the large scale characteristics of the sea ice cover has been inferred from results of analysis of passive microwave data, the latest of which comes from the Advanced Microw...
Sea ice concentrations based on AMSR-E 89GHz data are unprecedented in combining data timeliness (about 6 hours after overflight), horizontal resolution (about 5km) and daily global coverage. Here the...
There is a lack of data on the state of the atmosphere and the surface in polar regions because of too few direct observations, which makes remote sensing methods especially important in these regions...
The U.S. AMSR-E Science Team uses the enhanced NASA Team (NT2) sea ice concentration algorithm to calculate the standard Arctic and Antarctic sea ice concentration products. The NT2 algorithm signific...

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