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Improvement of snow physical parameters retrieval using SAR data in the Arctic (Svalbard)

Authors :
Dedieu, J. P.
Negrello, C.
Jacobi, H. W.
Duguay, Y.
Boike, Julia
Bernard, E.
Westermann, S.
Gallet, J. C.
Wendleder, A.
Dedieu, J. P.
Negrello, C.
Jacobi, H. W.
Duguay, Y.
Boike, Julia
Bernard, E.
Westermann, S.
Gallet, J. C.
Wendleder, A.
Source :
EPIC3ISSW 2018 Innsbruck
Publication Year :
2018

Abstract

Arctic snow cover dynamics offer a changing face in terms of temporal duration and water equivalent, due to recent climate change conditions (Callaghan et al., 2011; Lemke & Jacobi, 2011). In this context, innovative methods are helpful to enhance management of the snow-pack resource for climate research, hydrology and human activities. The characteristics of Arctic snow are different from “temperate” snow (i.e. the Alps), in terms of thickness, internal structure, thermal conductivity, and metamorphism. Ground observation often indicates wind slab at the snow surface, internal rounded grains, depth hoar at the bottom, and often internal ice layer or at the interface with ground surface (Dominé et al., 2016). This work is part of the “Precip-A2” project (OSUG, Grenoble-France), focusing on snow and its interaction with the atmosphere, especially in terms of chemistry, radiative processes and precipitation. The the focused area is Ny-Ålesund, Svalbard, Norway (N 78°55’ / E 11° 55’). One subtask of the project is dedicated to X-band radar measurements (ground and spaceborne) to retrieve physical properties of arctic snow. Active radar (SAR) images are used in this project, as they do not suffer of clouds coverage and polar night, unlike optical sensors. Snow mapping at the melting season is well documented, due to the liquid water content at the snow surface (Nagler et al., 2000), dry snow height retrieval is only possible at the moment under the full polarimetric mode of the Radarsat-2 satellite, Canada (Dedieu et al., 2014; 2017).The aims of our specific task is to improve an innovative and recent method to retrieve snow depth from SAR image decomposition (Leinss, 2014), and to validate the output results with a consistent ground network, including a large international partnership (Fr, De, No, It). A set of 10 SAR images was provided by the German Space Agency (DLR) during winter 2017 from the TerraSAR-X sensor (3.1 cm, 9.6 GHz) in dual co-pol HH, VV (2.5 m resolut

Details

Database :
OAIster
Journal :
EPIC3ISSW 2018 Innsbruck
Publication Type :
Electronic Resource
Accession number :
edsoai.on1099183673
Document Type :
Electronic Resource