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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Main Author: J. Karvonen
Format: Article
Language:English
Published: Copernicus Publications 2014-09-01
Series:The Cryosphere
Online Access:http://www.the-cryosphere.net/8/1639/2014/tc-8-1639-2014.pdf
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spelling 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
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