A sea ice concentration estimation algorithm utilizing radiometer and SAR data
We have studied the possibility of combining the high-resolution synthetic aperture radar (SAR) segmentation and ice concentration estimated by radiometer brightness temperatures. Here we present an algorithm for mapping a radiometer-based concentration value for each SAR segment. The concen...
Main Author: | |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2014-09-01
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Series: | The Cryosphere |
Online Access: | http://www.the-cryosphere.net/8/1639/2014/tc-8-1639-2014.pdf |
Summary: | We have studied the possibility of combining the high-resolution synthetic aperture radar
(SAR) segmentation and ice concentration estimated by radiometer
brightness temperatures. Here we present an algorithm for mapping
a radiometer-based concentration value for each SAR segment. The
concentrations are estimated by a multi-layer perceptron (MLP)
neural network which has the AMSR-2 (Advanced Microwave Scanning Radiometer 2)
polarization ratios and gradient ratios of four
radiometer channels as its inputs. The results have been compared
numerically to the gridded Finnish Meteorological Institute (FMI)
ice chart concentrations and
high-resolution AMSR-2 ASI (ARTIST Sea Ice) algorithm concentrations provided
by the University of Hamburg and also visually to the AMSR-2 bootstrap
algorithm concentrations, which are given in much coarser
resolution. The differences when compared to
FMI daily ice charts were on average small. When compared to ASI ice
concentrations, the differences were a bit larger, but still small on
average. According to our comparisons, the largest differences typically occur near the ice edge
and sea–land boundary. The main advantage of combining radiometer-based ice concentration
estimation and SAR segmentation seems to be a more precise estimation of the boundaries of
different ice concentration zones. |
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ISSN: | 1994-0416 1994-0424 |