X- and Ku-Band SAR Backscattering Signatures of Snow-Covered Lake Ice and Sea Ice

In this work, backscattering signatures of snow-covered lake ice and sea ice from X- and Ku-band synthetic aperture radar (SAR) data are investigated. The SAR data were acquired with the ESA airborne SnowSAR sensor in winter 2012 over Lake Orajärvi in northern Finland and over landfast ice in the Ba...

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Published in:Remote Sensing
Main Authors: Katriina Veijola, Juval Cohen, Marko Mäkynen, Juha Lemmetyinen, Jaan Praks, Bin Cheng
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2024
Subjects:
Q
Online Access:https://doi.org/10.3390/rs16020369
https://doaj.org/article/8acda113c2cf450e9f44e28e8a79af94
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spelling ftdoajarticles:oai:doaj.org/article:8acda113c2cf450e9f44e28e8a79af94 2024-02-27T08:43:49+00:00 X- and Ku-Band SAR Backscattering Signatures of Snow-Covered Lake Ice and Sea Ice Katriina Veijola Juval Cohen Marko Mäkynen Juha Lemmetyinen Jaan Praks Bin Cheng 2024-01-01T00:00:00Z https://doi.org/10.3390/rs16020369 https://doaj.org/article/8acda113c2cf450e9f44e28e8a79af94 EN eng MDPI AG https://www.mdpi.com/2072-4292/16/2/369 https://doaj.org/toc/2072-4292 doi:10.3390/rs16020369 2072-4292 https://doaj.org/article/8acda113c2cf450e9f44e28e8a79af94 Remote Sensing, Vol 16, Iss 2, p 369 (2024) remote sensing synthetic aperture radar sea ice snow Science Q article 2024 ftdoajarticles https://doi.org/10.3390/rs16020369 2024-01-28T01:37:38Z In this work, backscattering signatures of snow-covered lake ice and sea ice from X- and Ku-band synthetic aperture radar (SAR) data are investigated. The SAR data were acquired with the ESA airborne SnowSAR sensor in winter 2012 over Lake Orajärvi in northern Finland and over landfast ice in the Bay of Bothnia of the Baltic Sea. Co-incident with the SnowSAR acquisitions, in situ snow and ice data were measured. In addition, time series of TerraSAR-X images and ice mass balance buoy data were acquired for Lake Orajärvi in 2011–2012. The main objective of our study was to investigate relationships between SAR backscattering signatures and snow depth over lake and sea ice, with the ultimate objective of assessing the feasibility of retrieval of snow characteristics using X- and Ku-band dual-polarization (VV and VH) SAR over freshwater or sea ice. This study constitutes the first comprehensive survey of snow backscattering signatures at these two combined frequencies over both lake and sea ice. For lake ice, we show that X-band VH-polarized backscattering coefficient ( <semantics> σ o </semantics> ) and the Ku-band VV/VH-ratio exhibited the highest sensitivity to the snow depth. For sea ice, the highest sensitivity to the snow depth was found from the Ku-band VV-polarized <semantics> σ o </semantics> and the Ku-band VV/VH-ratio. However, the observed relations were relatively weak, indicating that at least for the prevailing snow conditions, obtaining reliable estimates of snow depth over lake and sea ice would be challenging using only X- and Ku-band backscattering information. Article in Journal/Newspaper Northern Finland Sea ice Directory of Open Access Journals: DOAJ Articles Remote Sensing 16 2 369
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic remote sensing
synthetic aperture radar
sea ice
snow
Science
Q
spellingShingle remote sensing
synthetic aperture radar
sea ice
snow
Science
Q
Katriina Veijola
Juval Cohen
Marko Mäkynen
Juha Lemmetyinen
Jaan Praks
Bin Cheng
X- and Ku-Band SAR Backscattering Signatures of Snow-Covered Lake Ice and Sea Ice
topic_facet remote sensing
synthetic aperture radar
sea ice
snow
Science
Q
description In this work, backscattering signatures of snow-covered lake ice and sea ice from X- and Ku-band synthetic aperture radar (SAR) data are investigated. The SAR data were acquired with the ESA airborne SnowSAR sensor in winter 2012 over Lake Orajärvi in northern Finland and over landfast ice in the Bay of Bothnia of the Baltic Sea. Co-incident with the SnowSAR acquisitions, in situ snow and ice data were measured. In addition, time series of TerraSAR-X images and ice mass balance buoy data were acquired for Lake Orajärvi in 2011–2012. The main objective of our study was to investigate relationships between SAR backscattering signatures and snow depth over lake and sea ice, with the ultimate objective of assessing the feasibility of retrieval of snow characteristics using X- and Ku-band dual-polarization (VV and VH) SAR over freshwater or sea ice. This study constitutes the first comprehensive survey of snow backscattering signatures at these two combined frequencies over both lake and sea ice. For lake ice, we show that X-band VH-polarized backscattering coefficient ( <semantics> σ o </semantics> ) and the Ku-band VV/VH-ratio exhibited the highest sensitivity to the snow depth. For sea ice, the highest sensitivity to the snow depth was found from the Ku-band VV-polarized <semantics> σ o </semantics> and the Ku-band VV/VH-ratio. However, the observed relations were relatively weak, indicating that at least for the prevailing snow conditions, obtaining reliable estimates of snow depth over lake and sea ice would be challenging using only X- and Ku-band backscattering information.
format Article in Journal/Newspaper
author Katriina Veijola
Juval Cohen
Marko Mäkynen
Juha Lemmetyinen
Jaan Praks
Bin Cheng
author_facet Katriina Veijola
Juval Cohen
Marko Mäkynen
Juha Lemmetyinen
Jaan Praks
Bin Cheng
author_sort Katriina Veijola
title X- and Ku-Band SAR Backscattering Signatures of Snow-Covered Lake Ice and Sea Ice
title_short X- and Ku-Band SAR Backscattering Signatures of Snow-Covered Lake Ice and Sea Ice
title_full X- and Ku-Band SAR Backscattering Signatures of Snow-Covered Lake Ice and Sea Ice
title_fullStr X- and Ku-Band SAR Backscattering Signatures of Snow-Covered Lake Ice and Sea Ice
title_full_unstemmed X- and Ku-Band SAR Backscattering Signatures of Snow-Covered Lake Ice and Sea Ice
title_sort x- and ku-band sar backscattering signatures of snow-covered lake ice and sea ice
publisher MDPI AG
publishDate 2024
url https://doi.org/10.3390/rs16020369
https://doaj.org/article/8acda113c2cf450e9f44e28e8a79af94
genre Northern Finland
Sea ice
genre_facet Northern Finland
Sea ice
op_source Remote Sensing, Vol 16, Iss 2, p 369 (2024)
op_relation https://www.mdpi.com/2072-4292/16/2/369
https://doaj.org/toc/2072-4292
doi:10.3390/rs16020369
2072-4292
https://doaj.org/article/8acda113c2cf450e9f44e28e8a79af94
op_doi https://doi.org/10.3390/rs16020369
container_title Remote Sensing
container_volume 16
container_issue 2
container_start_page 369
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