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 concentrations...
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ftcopernicus:oai:publications.copernicus.org:tc24571 2023-05-15T18:17:50+02:00 A sea ice concentration estimation algorithm utilizing radiometer and SAR data Karvonen, J. 2018-09-27 application/pdf https://doi.org/10.5194/tc-8-1639-2014 https://tc.copernicus.org/articles/8/1639/2014/ eng eng doi:10.5194/tc-8-1639-2014 https://tc.copernicus.org/articles/8/1639/2014/ eISSN: 1994-0424 Text 2018 ftcopernicus https://doi.org/10.5194/tc-8-1639-2014 2020-07-20T16:24:58Z 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. Text Sea ice Copernicus Publications: E-Journals The Cryosphere 8 5 1639 1650 |
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Open Polar |
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Copernicus Publications: E-Journals |
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ftcopernicus |
language |
English |
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. |
format |
Text |
author |
Karvonen, J. |
spellingShingle |
Karvonen, J. A sea ice concentration estimation algorithm utilizing radiometer and SAR data |
author_facet |
Karvonen, J. |
author_sort |
Karvonen, J. |
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 |
publishDate |
2018 |
url |
https://doi.org/10.5194/tc-8-1639-2014 https://tc.copernicus.org/articles/8/1639/2014/ |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
eISSN: 1994-0424 |
op_relation |
doi:10.5194/tc-8-1639-2014 https://tc.copernicus.org/articles/8/1639/2014/ |
op_doi |
https://doi.org/10.5194/tc-8-1639-2014 |
container_title |
The Cryosphere |
container_volume |
8 |
container_issue |
5 |
container_start_page |
1639 |
op_container_end_page |
1650 |
_version_ |
1766193194412802048 |