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...
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doaj-4a1f64593114442991b0c57b9ddbb87a2020-11-24T22:25:54ZengCopernicus PublicationsThe Cryosphere1994-04161994-04242014-09-01851639165010.5194/tc-8-1639-2014A sea ice concentration estimation algorithm utilizing radiometer and SAR dataJ. Karvonen0Finnish Meteorological Institute (FMI), Helsinki, PB 503, 00101, FinlandWe 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.http://www.the-cryosphere.net/8/1639/2014/tc-8-1639-2014.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
J. Karvonen |
spellingShingle |
J. Karvonen A sea ice concentration estimation algorithm utilizing radiometer and SAR data The Cryosphere |
author_facet |
J. Karvonen |
author_sort |
J. Karvonen |
title |
A sea ice concentration estimation algorithm utilizing radiometer and SAR data |
title_short |
A sea ice concentration estimation algorithm utilizing radiometer and SAR data |
title_full |
A sea ice concentration estimation algorithm utilizing radiometer and SAR data |
title_fullStr |
A sea ice concentration estimation algorithm utilizing radiometer and SAR data |
title_full_unstemmed |
A sea ice concentration estimation algorithm utilizing radiometer and SAR data |
title_sort |
sea ice concentration estimation algorithm utilizing radiometer and sar data |
publisher |
Copernicus Publications |
series |
The Cryosphere |
issn |
1994-0416 1994-0424 |
publishDate |
2014-09-01 |
description |
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. |
url |
http://www.the-cryosphere.net/8/1639/2014/tc-8-1639-2014.pdf |
work_keys_str_mv |
AT jkarvonen aseaiceconcentrationestimationalgorithmutilizingradiometerandsardata AT jkarvonen seaiceconcentrationestimationalgorithmutilizingradiometerandsardata |
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