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

Funding Information: This research was partly funded by ESA SnowSAR Campaign Data Analysis Study (SCADAS); ESA Contract No. 4000118400/16/NL/FF/gp. Publisher Copyright: © 2024 by the authors. In this work, backscattering signatures of snow-covered lake ice and sea ice from X- and Ku-band synthetic a...

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Published in:Remote Sensing
Main Authors: Veijola, Katriina, Cohen, Juval, Mäkynen, Marko, Lemmetyinen, Juha, Praks, Jaan, Cheng, Bin
Other Authors: Department of Electronics and Nanoengineering, Jaan Praks Group, Finnish Meteorological Institute, Aalto-yliopisto, Aalto University
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2024
Subjects:
Online Access:https://aaltodoc.aalto.fi/handle/123456789/126684
https://doi.org/10.3390/rs16020369
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spelling ftaaltouniv:oai:aaltodoc.aalto.fi:123456789/126684 2024-04-28T08:32:26+00:00 X- and Ku-Band SAR Backscattering Signatures of Snow-Covered Lake Ice and Sea Ice Veijola, Katriina Cohen, Juval Mäkynen, Marko Lemmetyinen, Juha Praks, Jaan Cheng, Bin Department of Electronics and Nanoengineering Jaan Praks Group Finnish Meteorological Institute Aalto-yliopisto Aalto University 2024-01 application/pdf https://aaltodoc.aalto.fi/handle/123456789/126684 https://doi.org/10.3390/rs16020369 en eng MDPI AG Remote Sensing Volume 16, issue 2 Veijola, K, Cohen, J, Mäkynen, M, Lemmetyinen, J, Praks, J & Cheng, B 2024, ' X- and Ku-Band SAR Backscattering Signatures of Snow-Covered Lake Ice and Sea Ice ', Remote Sensing, vol. 16, no. 2, 369 . https://doi.org/10.3390/rs16020369 2072-4292 PURE UUID: 304ba8a2-8fe6-4988-9a60-ede9f8cc4d15 PURE ITEMURL: https://research.aalto.fi/en/publications/304ba8a2-8fe6-4988-9a60-ede9f8cc4d15 PURE LINK: http://www.scopus.com/inward/record.url?scp=85183318493&partnerID=8YFLogxK PURE FILEURL: https://research.aalto.fi/files/135876955/Veijola_X-and-ku-band-SAR_backscattering_remotesensing-16-00369-v2.pdf https://aaltodoc.aalto.fi/handle/123456789/126684 URN:NBN:fi:aalto-202402072343 doi:10.3390/rs16020369 openAccess remote sensing sea ice snow synthetic aperture radar A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä publishedVersion 2024 ftaaltouniv https://doi.org/10.3390/rs16020369 2024-04-10T00:21:31Z Funding Information: This research was partly funded by ESA SnowSAR Campaign Data Analysis Study (SCADAS); ESA Contract No. 4000118400/16/NL/FF/gp. Publisher Copyright: © 2024 by the authors. 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 ((Formula presented.)) 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 (Formula presented.) 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. Peer reviewed Article in Journal/Newspaper Northern Finland Sea ice Aalto University Publication Archive (Aaltodoc) Remote Sensing 16 2 369
institution Open Polar
collection Aalto University Publication Archive (Aaltodoc)
op_collection_id ftaaltouniv
language English
topic remote sensing
sea ice
snow
synthetic aperture radar
spellingShingle remote sensing
sea ice
snow
synthetic aperture radar
Veijola, Katriina
Cohen, Juval
Mäkynen, Marko
Lemmetyinen, Juha
Praks, Jaan
Cheng, Bin
X- and Ku-Band SAR Backscattering Signatures of Snow-Covered Lake Ice and Sea Ice
topic_facet remote sensing
sea ice
snow
synthetic aperture radar
description Funding Information: This research was partly funded by ESA SnowSAR Campaign Data Analysis Study (SCADAS); ESA Contract No. 4000118400/16/NL/FF/gp. Publisher Copyright: © 2024 by the authors. 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 ((Formula presented.)) 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 (Formula presented.) 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. Peer reviewed
author2 Department of Electronics and Nanoengineering
Jaan Praks Group
Finnish Meteorological Institute
Aalto-yliopisto
Aalto University
format Article in Journal/Newspaper
author Veijola, Katriina
Cohen, Juval
Mäkynen, Marko
Lemmetyinen, Juha
Praks, Jaan
Cheng, Bin
author_facet Veijola, Katriina
Cohen, Juval
Mäkynen, Marko
Lemmetyinen, Juha
Praks, Jaan
Cheng, Bin
author_sort Veijola, Katriina
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://aaltodoc.aalto.fi/handle/123456789/126684
https://doi.org/10.3390/rs16020369
genre Northern Finland
Sea ice
genre_facet Northern Finland
Sea ice
op_relation Remote Sensing
Volume 16, issue 2
Veijola, K, Cohen, J, Mäkynen, M, Lemmetyinen, J, Praks, J & Cheng, B 2024, ' X- and Ku-Band SAR Backscattering Signatures of Snow-Covered Lake Ice and Sea Ice ', Remote Sensing, vol. 16, no. 2, 369 . https://doi.org/10.3390/rs16020369
2072-4292
PURE UUID: 304ba8a2-8fe6-4988-9a60-ede9f8cc4d15
PURE ITEMURL: https://research.aalto.fi/en/publications/304ba8a2-8fe6-4988-9a60-ede9f8cc4d15
PURE LINK: http://www.scopus.com/inward/record.url?scp=85183318493&partnerID=8YFLogxK
PURE FILEURL: https://research.aalto.fi/files/135876955/Veijola_X-and-ku-band-SAR_backscattering_remotesensing-16-00369-v2.pdf
https://aaltodoc.aalto.fi/handle/123456789/126684
URN:NBN:fi:aalto-202402072343
doi:10.3390/rs16020369
op_rights openAccess
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container_title Remote Sensing
container_volume 16
container_issue 2
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