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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Published in:Geophysical Research Letters
Main Authors: Khachatrian, Eduard, Dierking, Wolfgang, Chlaily, Saloua, Eltoft, Torbjørn, Dinessen, Frode, Hughes, Nick, Marinoni, Andrea
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2023
Subjects:
Online Access:https://hdl.handle.net/10037/29104
https://doi.org/10.1029/2022GL102083
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spelling 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
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