Potential of X-band polarimetric synthetic aperture radar co-polar phase difference for arctic snow depth estimation
International audience Abstract. Changes in snowpack associated with climatic warming has drastic impacts on surface energy balance in the cryosphere. Yet, traditional monitoring techniques, such as punctual measurements in the field, do not cover the full snowpack spatial and temporal variability,...
Published in: | The Cryosphere |
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Online Access: | https://hal.science/hal-03701050 https://hal.science/hal-03701050/document https://hal.science/hal-03701050/file/tc-16-2163-2022.pdf https://doi.org/10.5194/tc-16-2163-2022 |
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ftinsu:oai:HAL:hal-03701050v1 2024-04-28T08:12:04+00:00 Potential of X-band polarimetric synthetic aperture radar co-polar phase difference for arctic snow depth estimation Voglimacci-Stephanopoli, Joëlle Wendleder, Anna Lantuit, Hugues Langlois, Alexandre Stettner, Samuel Schmitt, Andreas Dedieu, Jean-Pierre Roth, Achim Royer, Alain Université de Sherbrooke (UdeS) Centre d'Etudes Nordiques (CEN) Université Laval Québec (ULaval) German Aerospace Center (DLR) University of Applied Sciences Munich Institut des Géosciences de l’Environnement (IGE) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ) Université Grenoble Alpes (UGA) 2022 https://hal.science/hal-03701050 https://hal.science/hal-03701050/document https://hal.science/hal-03701050/file/tc-16-2163-2022.pdf https://doi.org/10.5194/tc-16-2163-2022 en eng HAL CCSD Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-16-2163-2022 hal-03701050 https://hal.science/hal-03701050 https://hal.science/hal-03701050/document https://hal.science/hal-03701050/file/tc-16-2163-2022.pdf doi:10.5194/tc-16-2163-2022 info:eu-repo/semantics/OpenAccess ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.science/hal-03701050 The Cryosphere, 2022, 16 (6), pp.2163-2181. ⟨10.5194/tc-16-2163-2022⟩ [SDE.IE]Environmental Sciences/Environmental Engineering [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology info:eu-repo/semantics/article Journal articles 2022 ftinsu https://doi.org/10.5194/tc-16-2163-2022 2024-04-05T00:32:43Z International audience Abstract. Changes in snowpack associated with climatic warming has drastic impacts on surface energy balance in the cryosphere. Yet, traditional monitoring techniques, such as punctual measurements in the field, do not cover the full snowpack spatial and temporal variability, which hampers efforts to upscale measurements to the global scale. This variability is one of the primary constraints in model development. In terms of spatial resolution, active microwaves (synthetic aperture radar – SAR) can address the issue and outperform methods based on passive microwaves. Thus, high-spatial-resolution monitoring of snow depth (SD) would allow for better parameterization of local processes that drive the spatial variability of snow. The overall objective of this study is to evaluate the potential of the TerraSAR-X (TSX) SAR sensor and the wave co-polar phase difference (CPD) method for characterizing snow cover at high spatial resolution. Consequently, we first (1) investigate SD and depth hoar fraction (DHF) variability between different vegetation classes in the Ice Creek catchment (Qikiqtaruk/Herschel Island, Yukon, Canada) using in situ measurements collected over the course of a field campaign in 2019; (2) evaluate linkages between snow characteristics and CPD distribution over the 2019 dataset; and (3) determine CPD seasonality considering meteorological data over the 2015–2019 period. SD could be extracted using the CPD when certain conditions are met. A high incidence angle (>30∘) with a high topographic wetness index (TWI) (>7.0) showed correlation between SD and CPD (R2 up to 0.72). Further, future work should address a threshold of sensitivity to TWI and incidence angle to map snow depth in such environments and assess the potential of using interpolation tools to fill in gaps in SD information on drier vegetation types. Article in Journal/Newspaper Arctic Herschel Herschel Island The Cryosphere Yukon Institut national des sciences de l'Univers: HAL-INSU The Cryosphere 16 6 2163 2181 |
institution |
Open Polar |
collection |
Institut national des sciences de l'Univers: HAL-INSU |
op_collection_id |
ftinsu |
language |
English |
topic |
[SDE.IE]Environmental Sciences/Environmental Engineering [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology |
spellingShingle |
[SDE.IE]Environmental Sciences/Environmental Engineering [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology Voglimacci-Stephanopoli, Joëlle Wendleder, Anna Lantuit, Hugues Langlois, Alexandre Stettner, Samuel Schmitt, Andreas Dedieu, Jean-Pierre Roth, Achim Royer, Alain Potential of X-band polarimetric synthetic aperture radar co-polar phase difference for arctic snow depth estimation |
topic_facet |
[SDE.IE]Environmental Sciences/Environmental Engineering [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology |
description |
International audience Abstract. Changes in snowpack associated with climatic warming has drastic impacts on surface energy balance in the cryosphere. Yet, traditional monitoring techniques, such as punctual measurements in the field, do not cover the full snowpack spatial and temporal variability, which hampers efforts to upscale measurements to the global scale. This variability is one of the primary constraints in model development. In terms of spatial resolution, active microwaves (synthetic aperture radar – SAR) can address the issue and outperform methods based on passive microwaves. Thus, high-spatial-resolution monitoring of snow depth (SD) would allow for better parameterization of local processes that drive the spatial variability of snow. The overall objective of this study is to evaluate the potential of the TerraSAR-X (TSX) SAR sensor and the wave co-polar phase difference (CPD) method for characterizing snow cover at high spatial resolution. Consequently, we first (1) investigate SD and depth hoar fraction (DHF) variability between different vegetation classes in the Ice Creek catchment (Qikiqtaruk/Herschel Island, Yukon, Canada) using in situ measurements collected over the course of a field campaign in 2019; (2) evaluate linkages between snow characteristics and CPD distribution over the 2019 dataset; and (3) determine CPD seasonality considering meteorological data over the 2015–2019 period. SD could be extracted using the CPD when certain conditions are met. A high incidence angle (>30∘) with a high topographic wetness index (TWI) (>7.0) showed correlation between SD and CPD (R2 up to 0.72). Further, future work should address a threshold of sensitivity to TWI and incidence angle to map snow depth in such environments and assess the potential of using interpolation tools to fill in gaps in SD information on drier vegetation types. |
author2 |
Université de Sherbrooke (UdeS) Centre d'Etudes Nordiques (CEN) Université Laval Québec (ULaval) German Aerospace Center (DLR) University of Applied Sciences Munich Institut des Géosciences de l’Environnement (IGE) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ) Université Grenoble Alpes (UGA) |
format |
Article in Journal/Newspaper |
author |
Voglimacci-Stephanopoli, Joëlle Wendleder, Anna Lantuit, Hugues Langlois, Alexandre Stettner, Samuel Schmitt, Andreas Dedieu, Jean-Pierre Roth, Achim Royer, Alain |
author_facet |
Voglimacci-Stephanopoli, Joëlle Wendleder, Anna Lantuit, Hugues Langlois, Alexandre Stettner, Samuel Schmitt, Andreas Dedieu, Jean-Pierre Roth, Achim Royer, Alain |
author_sort |
Voglimacci-Stephanopoli, Joëlle |
title |
Potential of X-band polarimetric synthetic aperture radar co-polar phase difference for arctic snow depth estimation |
title_short |
Potential of X-band polarimetric synthetic aperture radar co-polar phase difference for arctic snow depth estimation |
title_full |
Potential of X-band polarimetric synthetic aperture radar co-polar phase difference for arctic snow depth estimation |
title_fullStr |
Potential of X-band polarimetric synthetic aperture radar co-polar phase difference for arctic snow depth estimation |
title_full_unstemmed |
Potential of X-band polarimetric synthetic aperture radar co-polar phase difference for arctic snow depth estimation |
title_sort |
potential of x-band polarimetric synthetic aperture radar co-polar phase difference for arctic snow depth estimation |
publisher |
HAL CCSD |
publishDate |
2022 |
url |
https://hal.science/hal-03701050 https://hal.science/hal-03701050/document https://hal.science/hal-03701050/file/tc-16-2163-2022.pdf https://doi.org/10.5194/tc-16-2163-2022 |
genre |
Arctic Herschel Herschel Island The Cryosphere Yukon |
genre_facet |
Arctic Herschel Herschel Island The Cryosphere Yukon |
op_source |
ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.science/hal-03701050 The Cryosphere, 2022, 16 (6), pp.2163-2181. ⟨10.5194/tc-16-2163-2022⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-16-2163-2022 hal-03701050 https://hal.science/hal-03701050 https://hal.science/hal-03701050/document https://hal.science/hal-03701050/file/tc-16-2163-2022.pdf doi:10.5194/tc-16-2163-2022 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/tc-16-2163-2022 |
container_title |
The Cryosphere |
container_volume |
16 |
container_issue |
6 |
container_start_page |
2163 |
op_container_end_page |
2181 |
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1797579136886112256 |