SAR and Passive Microwave Fusion Scheme: A Test Case on Sentinel-1/AMSR-2 for Sea Ice Classification
The most common source of information about sea ice conditions is remote sensing data, especially images obtained from synthetic aperture radar (SAR) and passive microwave radiometers (PMR). Here we introduce an adaptive fusion scheme based on Graph Laplacians that allows us to retrieve the most rel...
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Online Access: | https://hdl.handle.net/10037/29104 https://doi.org/10.1029/2022GL102083 |
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ftunivtroemsoe:oai:munin.uit.no:10037/29104 2023-06-18T03:38:34+02:00 SAR and Passive Microwave Fusion Scheme: A Test Case on Sentinel-1/AMSR-2 for Sea Ice Classification Khachatrian, Eduard Dierking, Wolfgang Chlaily, Saloua Eltoft, Torbjørn Dinessen, Frode Hughes, Nick Marinoni, Andrea 2023-02-14 https://hdl.handle.net/10037/29104 https://doi.org/10.1029/2022GL102083 eng eng Wiley Khachatrian, E. (2023). Multimodal Integrated Remote Sensing for Arctic Sea Ice Monitoring. (Doctoral thesis). https://hdl.handle.net/10037/29338 . Geophysical Research Letters Khachatrian, Dierking, Chlaily, Eltoft, Dinessen, Hughes N, Marinoni. SAR and Passive Microwave Fusion Scheme: A Test Case on Sentinel-1/AMSR-2 for Sea Ice Classification. Geophysical Research Letters. 2023;50(4):1-7 FRIDAID 2129829 doi:10.1029/2022GL102083 0094-8276 1944-8007 https://hdl.handle.net/10037/29104 Attribution 4.0 International (CC BY 4.0) openAccess Copyright 2023 The Author(s) https://creativecommons.org/licenses/by/4.0 Journal article Tidsskriftartikkel Peer reviewed publishedVersion 2023 ftunivtroemsoe https://doi.org/10.1029/2022GL102083 2023-06-07T23:06:22Z The most common source of information about sea ice conditions is remote sensing data, especially images obtained from synthetic aperture radar (SAR) and passive microwave radiometers (PMR). Here we introduce an adaptive fusion scheme based on Graph Laplacians that allows us to retrieve the most relevant information from satellite images. In a first test case, we explore the potential of sea ice classification employing SAR and PMR separately and simultaneously, in order to evaluate the complementarity of both sensors and to assess the result of a combined use. Our test case illustrates the flexibility and efficiency of the proposed scheme and indicates an advantage of combining AMSR-2 89 GHz and Sentinel-1 data for sea ice mapping. Article in Journal/Newspaper Arctic Sea ice University of Tromsø: Munin Open Research Archive Geophysical Research Letters 50 4 |
institution |
Open Polar |
collection |
University of Tromsø: Munin Open Research Archive |
op_collection_id |
ftunivtroemsoe |
language |
English |
description |
The most common source of information about sea ice conditions is remote sensing data, especially images obtained from synthetic aperture radar (SAR) and passive microwave radiometers (PMR). Here we introduce an adaptive fusion scheme based on Graph Laplacians that allows us to retrieve the most relevant information from satellite images. In a first test case, we explore the potential of sea ice classification employing SAR and PMR separately and simultaneously, in order to evaluate the complementarity of both sensors and to assess the result of a combined use. Our test case illustrates the flexibility and efficiency of the proposed scheme and indicates an advantage of combining AMSR-2 89 GHz and Sentinel-1 data for sea ice mapping. |
format |
Article in Journal/Newspaper |
author |
Khachatrian, Eduard Dierking, Wolfgang Chlaily, Saloua Eltoft, Torbjørn Dinessen, Frode Hughes, Nick Marinoni, Andrea |
spellingShingle |
Khachatrian, Eduard Dierking, Wolfgang Chlaily, Saloua Eltoft, Torbjørn Dinessen, Frode Hughes, Nick Marinoni, Andrea SAR and Passive Microwave Fusion Scheme: A Test Case on Sentinel-1/AMSR-2 for Sea Ice Classification |
author_facet |
Khachatrian, Eduard Dierking, Wolfgang Chlaily, Saloua Eltoft, Torbjørn Dinessen, Frode Hughes, Nick Marinoni, Andrea |
author_sort |
Khachatrian, Eduard |
title |
SAR and Passive Microwave Fusion Scheme: A Test Case on Sentinel-1/AMSR-2 for Sea Ice Classification |
title_short |
SAR and Passive Microwave Fusion Scheme: A Test Case on Sentinel-1/AMSR-2 for Sea Ice Classification |
title_full |
SAR and Passive Microwave Fusion Scheme: A Test Case on Sentinel-1/AMSR-2 for Sea Ice Classification |
title_fullStr |
SAR and Passive Microwave Fusion Scheme: A Test Case on Sentinel-1/AMSR-2 for Sea Ice Classification |
title_full_unstemmed |
SAR and Passive Microwave Fusion Scheme: A Test Case on Sentinel-1/AMSR-2 for Sea Ice Classification |
title_sort |
sar and passive microwave fusion scheme: a test case on sentinel-1/amsr-2 for sea ice classification |
publisher |
Wiley |
publishDate |
2023 |
url |
https://hdl.handle.net/10037/29104 https://doi.org/10.1029/2022GL102083 |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_relation |
Khachatrian, E. (2023). Multimodal Integrated Remote Sensing for Arctic Sea Ice Monitoring. (Doctoral thesis). https://hdl.handle.net/10037/29338 . Geophysical Research Letters Khachatrian, Dierking, Chlaily, Eltoft, Dinessen, Hughes N, Marinoni. SAR and Passive Microwave Fusion Scheme: A Test Case on Sentinel-1/AMSR-2 for Sea Ice Classification. Geophysical Research Letters. 2023;50(4):1-7 FRIDAID 2129829 doi:10.1029/2022GL102083 0094-8276 1944-8007 https://hdl.handle.net/10037/29104 |
op_rights |
Attribution 4.0 International (CC BY 4.0) openAccess Copyright 2023 The Author(s) https://creativecommons.org/licenses/by/4.0 |
op_doi |
https://doi.org/10.1029/2022GL102083 |
container_title |
Geophysical Research Letters |
container_volume |
50 |
container_issue |
4 |
_version_ |
1769003519251054592 |