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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fttriple:oai:gotriple.eu:oai:doaj.org/article:4a1f64593114442991b0c57b9ddbb87a 2023-05-15T18:17:29+02:00 A sea ice concentration estimation algorithm utilizing radiometer and SAR data A sea ice concentration estimation algorithm Utilising Radiometer and SAR data J. Karvonen 2014-09-01 https://doi.org/10.5194/tc-8-1639-2014 http://www.the-cryosphere.net/8/1639/2014/tc-8-1639-2014.pdf https://doaj.org/article/4a1f64593114442991b0c57b9ddbb87a en eng Copernicus Publications 1994-0416 1994-0424 doi:10.5194/tc-8-1639-2014 http://www.the-cryosphere.net/8/1639/2014/tc-8-1639-2014.pdf https://doaj.org/article/4a1f64593114442991b0c57b9ddbb87a undefined The Cryosphere, Vol 8, Iss 5, Pp 1639-1650 (2014) envir geo Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2014 fttriple https://doi.org/10.5194/tc-8-1639-2014 2023-01-22T19:40:17Z 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. Article in Journal/Newspaper Sea ice The Cryosphere Unknown The Cryosphere 8 5 1639 1650 |
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envir geo J. Karvonen A sea ice concentration estimation algorithm utilizing radiometer and SAR data |
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envir geo |
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 |
Article in Journal/Newspaper |
author |
J. Karvonen |
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 |
publishDate |
2014 |
url |
https://doi.org/10.5194/tc-8-1639-2014 http://www.the-cryosphere.net/8/1639/2014/tc-8-1639-2014.pdf https://doaj.org/article/4a1f64593114442991b0c57b9ddbb87a |
genre |
Sea ice The Cryosphere |
genre_facet |
Sea ice The Cryosphere |
op_source |
The Cryosphere, Vol 8, Iss 5, Pp 1639-1650 (2014) |
op_relation |
1994-0416 1994-0424 doi:10.5194/tc-8-1639-2014 http://www.the-cryosphere.net/8/1639/2014/tc-8-1639-2014.pdf https://doaj.org/article/4a1f64593114442991b0c57b9ddbb87a |
op_rights |
undefined |
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_ |
1766191729905500160 |