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Snow cover monitoring in the Arctic (Svalbard) with RADARSAT Constellation Mission (RCM). Comparison with in-situ measurements and TerraSAR-X data

Dedieu, Jean-Pierre und Van Noort, Joep und Montpetit, Benoit und Levistre, Manon und Vauclare, Simon und Wendleder, Anna und Boike, Julia und Gallet, Jean-Charles und Jacobi, Hans-Werner (2023) Snow cover monitoring in the Arctic (Svalbard) with RADARSAT Constellation Mission (RCM). Comparison with in-situ measurements and TerraSAR-X data. EGU General Assembly 2023, 2023-04-23 - 2023-04-28, Vienna, Austria.

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Kurzfassung

Arctic snow cover dynamics exhibit modification in terms of extent and duration due to recent changes in climate, i.e. increasing temperatures and changing precipitation patterns, i.e. winter rain-on-snow events (WROS). Remote sensing methods based on active radar images (SAR) have demonstrated a significant advantage for snow monitoring, (i) capturing physical and dielectric properties, (ii) overcoming the weakness of optical images limited by cloud cover and polar night. The aim of this study is dedicated to the analysis of the spatial and temporal variability of snow cover in the Ny-Ålesund area on the BrØgger peninsula, Svalbard (N 78°55’ / E 11° 55’). In-situ snow measurements from two automated weather stations (Ny-Ålesund, and Bayelva), regular snowpits around the village and in spring on the Austre Loéven, were compared with the spaceborne dataset. The RADARSAT Constellation Mission (RCM) is comprised of three satellites into closely coordinated orbits operating in C-band (5.4 GHz, 5.5 cm). The high temporal (4-day repeat cycle) and spatial resolution of the sensors in Quad-Pol mode (9-m) or Compact-Pol mode (5-m) provide a helpful performance for detecting the spatial variability of snow properties. RCM data are also compared to images of the TerraSAR-X satellite (DLR, Germany) operated in X-band (9.6 GHz, 3.1 cm) at 5-m spatial resolution. Both RCM QP mode and TSX data were acquired with medium incidence angles (33° to 39°) providing better snow penetration for volume backscattering. The RCM CP data were only available under low (23°) and high (53°) beam angles. The following two snow properties were analyzed: WROS detection: the focus was set on the 16-17 March 2022 event (+ 5.5 °C, 62 mm). RCM data at cross-polarization VH or HV can clearly detect the impact of rain on snow, indicating an intensity drop of -10 dB, even on the glacier at high elevation. Snow depth retrieval: the study covers spring 2021 (March-June) and the complete winter season 2021-2022 (November-June). - Concerning QP mode, better correlation between snow depth and SAR backscattering is observed by the cross-pol VH component, retrieving more volume backscattering information than co-pol configuration or total backscattering power (Span). We observe also that descending orbit images (06 :30 AM) provide a better correlation with snow depth than ascending orbit (15 :30 PM) data. - Concerning CP mode and Span (RH+RV), the low incidence images (23°) do not match the snow depth observations due to main surface backscattering, contrariwise the high incidence images correlate better with in-situ observations. The analyses of the Stokes vector elements showed a satisfying correlation for the g3 element and the Relative Phase polarimetric decomposition. Finally, a comparison of Span temporal values between RCM at C-band and TSX at X-band indicates similar time profiles, but clearly lower values of -5 to -10 dB at the C-band.

elib-URL des Eintrags:https://elib.dlr.de/195056/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Snow cover monitoring in the Arctic (Svalbard) with RADARSAT Constellation Mission (RCM). Comparison with in-situ measurements and TerraSAR-X data
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Dedieu, Jean-Pierrejean-pierre.dedieu (at) univ-grenoble-alpes.frNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Van Noort, JoepUniversitat Autònoma de BarcelonaNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Montpetit, BenoitEnvironment and Climate Change Canada, Ottawa, ON, CanadaNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Levistre, ManonInstitut d’Urbanisme et de Géographie AlpineNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Vauclare, SimonInstitut of Environmental Geosciences (IGE)NICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Wendleder, AnnaAnna.Wendleder (at) dlr.dehttps://orcid.org/0009-0005-1534-4732NICHT SPEZIFIZIERT
Boike, Juliajboike (at) awi-potsdam.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Gallet, Jean-CharlesNorwegian Polar Institute, Fram Centre, Tromsø, NorwayNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Jacobi, Hans-WernerAWI für Polar und Meeresforschung, BremerhavenNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:2023
Referierte Publikation:Nein
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:veröffentlicht
Stichwörter:SAR, Radarsat Constellation Mission, TerraSAR-X, Arctic, Multi-SAR, Copolar Phase Difference
Veranstaltungstitel:EGU General Assembly 2023
Veranstaltungsort:Vienna, Austria
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:23 April 2023
Veranstaltungsende:28 April 2023
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - HPDA-Nutzung
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Internationales Bodensegment
Hinterlegt von: Wendleder, Anna
Hinterlegt am:19 Jun 2023 10:46
Letzte Änderung:24 Apr 2024 20:55

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