Detection of snow change using polarimetric TerraSAR-X time-series (Svalbard, Norway)
Due to recent climate change conditions, i.e. increasing temperatures and changing precipitation patterns, arctic snow cover dynamics exhibit strong changes in terms of extent and duration. Arctic amplification processes and impacts are well documented expected to strengthen in coming decades. In th...
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ftdlr:oai:elib.dlr.de:199486 2024-05-19T07:35:37+00:00 Detection of snow change using polarimetric TerraSAR-X time-series (Svalbard, Norway) Dedieu, Jean-Pierre Wendleder, Anna Vauclare, Simon Momber, Marion Bernard, Eric Boike, Julia Jacobi, Hans-Werner 2023-10 https://elib.dlr.de/199486/ unknown Dedieu, Jean-Pierre und Wendleder, Anna und Vauclare, Simon und Momber, Marion und Bernard, Eric und Boike, Julia und Jacobi, Hans-Werner (2023) Detection of snow change using polarimetric TerraSAR-X time-series (Svalbard, Norway). TerraSAR-X/TanDEM-X Science Meeting, 2023-10-18 - 2023-10-20, Oberpfaffenhofen, Deutschland. Internationales Bodensegment Konferenzbeitrag NonPeerReviewed 2023 ftdlr 2024-04-25T01:09:13Z Due to recent climate change conditions, i.e. increasing temperatures and changing precipitation patterns, arctic snow cover dynamics exhibit strong changes in terms of extent and duration. Arctic amplification processes and impacts are well documented expected to strengthen in coming decades. In this context, innovative observation methods are helpful for a better comprehension of the spatial variability of snow properties relevant for climate research and hydrological applications. Microwave remote sensing provides exceptional spatial and temporal performance in terms of all-weather application and target penetration. Time-series of Synthetic Active Radar images (SAR) are becoming more accessible at different frequencies and polarimetry has demonstrated a significant advantage for detecting changes in different media. Concerning arctic snow monitoring, SAR sensors can offer continuous time-series during the polar night and with cloud cover, providing a consequent advantage in regard of optical sensors. The aim of this study is dedicated to the spatial and temporal variability of snow in the Ny-Ålesund area on the BrØgger peninsula, Svalbard (N 78°55’ / E 11° 55’) using a high temporal TerraSAR-X Stripmap time series from November 2018 to June 2022, providing four consecutive winter datasets. The dual-cross polarized (HH/VV) SAR data were acquired from two different orbits (ascending and descending) with high incidence angles (36° to 39°) increasing snow volume backscattering and reducing topographic constraints. Additionally, a high spatial resolution Digital Elevation Model (NPI 5-m), consistent in-situ measurements of meteorological data, and snow profiles including lowlands and glaciers sites are available. Polarimetric processing is based on the Kennaugh matrix decomposition, co-polar phase coherence (CCOH) and co-polar phase difference (CPD). The Kennaugh matrix elements K0, K3, K4, and K7 are the total intensity, phase ratio, intensity ratio, and shift between HH and VV phase center, respectively. Their ... Conference Object Arctic Climate change Ny Ålesund Ny-Ålesund polar night Svalbard German Aerospace Center: elib - DLR electronic library |
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Open Polar |
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German Aerospace Center: elib - DLR electronic library |
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unknown |
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Internationales Bodensegment |
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Internationales Bodensegment Dedieu, Jean-Pierre Wendleder, Anna Vauclare, Simon Momber, Marion Bernard, Eric Boike, Julia Jacobi, Hans-Werner Detection of snow change using polarimetric TerraSAR-X time-series (Svalbard, Norway) |
topic_facet |
Internationales Bodensegment |
description |
Due to recent climate change conditions, i.e. increasing temperatures and changing precipitation patterns, arctic snow cover dynamics exhibit strong changes in terms of extent and duration. Arctic amplification processes and impacts are well documented expected to strengthen in coming decades. In this context, innovative observation methods are helpful for a better comprehension of the spatial variability of snow properties relevant for climate research and hydrological applications. Microwave remote sensing provides exceptional spatial and temporal performance in terms of all-weather application and target penetration. Time-series of Synthetic Active Radar images (SAR) are becoming more accessible at different frequencies and polarimetry has demonstrated a significant advantage for detecting changes in different media. Concerning arctic snow monitoring, SAR sensors can offer continuous time-series during the polar night and with cloud cover, providing a consequent advantage in regard of optical sensors. The aim of this study is dedicated to the spatial and temporal variability of snow in the Ny-Ålesund area on the BrØgger peninsula, Svalbard (N 78°55’ / E 11° 55’) using a high temporal TerraSAR-X Stripmap time series from November 2018 to June 2022, providing four consecutive winter datasets. The dual-cross polarized (HH/VV) SAR data were acquired from two different orbits (ascending and descending) with high incidence angles (36° to 39°) increasing snow volume backscattering and reducing topographic constraints. Additionally, a high spatial resolution Digital Elevation Model (NPI 5-m), consistent in-situ measurements of meteorological data, and snow profiles including lowlands and glaciers sites are available. Polarimetric processing is based on the Kennaugh matrix decomposition, co-polar phase coherence (CCOH) and co-polar phase difference (CPD). The Kennaugh matrix elements K0, K3, K4, and K7 are the total intensity, phase ratio, intensity ratio, and shift between HH and VV phase center, respectively. Their ... |
format |
Conference Object |
author |
Dedieu, Jean-Pierre Wendleder, Anna Vauclare, Simon Momber, Marion Bernard, Eric Boike, Julia Jacobi, Hans-Werner |
author_facet |
Dedieu, Jean-Pierre Wendleder, Anna Vauclare, Simon Momber, Marion Bernard, Eric Boike, Julia Jacobi, Hans-Werner |
author_sort |
Dedieu, Jean-Pierre |
title |
Detection of snow change using polarimetric TerraSAR-X time-series (Svalbard, Norway) |
title_short |
Detection of snow change using polarimetric TerraSAR-X time-series (Svalbard, Norway) |
title_full |
Detection of snow change using polarimetric TerraSAR-X time-series (Svalbard, Norway) |
title_fullStr |
Detection of snow change using polarimetric TerraSAR-X time-series (Svalbard, Norway) |
title_full_unstemmed |
Detection of snow change using polarimetric TerraSAR-X time-series (Svalbard, Norway) |
title_sort |
detection of snow change using polarimetric terrasar-x time-series (svalbard, norway) |
publishDate |
2023 |
url |
https://elib.dlr.de/199486/ |
genre |
Arctic Climate change Ny Ålesund Ny-Ålesund polar night Svalbard |
genre_facet |
Arctic Climate change Ny Ålesund Ny-Ålesund polar night Svalbard |
op_relation |
Dedieu, Jean-Pierre und Wendleder, Anna und Vauclare, Simon und Momber, Marion und Bernard, Eric und Boike, Julia und Jacobi, Hans-Werner (2023) Detection of snow change using polarimetric TerraSAR-X time-series (Svalbard, Norway). TerraSAR-X/TanDEM-X Science Meeting, 2023-10-18 - 2023-10-20, Oberpfaffenhofen, Deutschland. |
_version_ |
1799474393808633856 |