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Remote Sensing of Snow Cover Using Spaceborne SAR: A Review

Tsai, Ya-Lun and Dietz, Andreas and Oppelt, Natascha and Künzer, Claudia (2019) Remote Sensing of Snow Cover Using Spaceborne SAR: A Review. Remote Sensing, 11 (1456), pp. 1-44. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/rs11121456 ISSN 2072-4292

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Official URL: https://www.mdpi.com/2072-4292/11/12/1456/htm


The importance of snow cover extent (SCE) has been proven to strongly link with various natural phenomenon and human activities; consequently, monitoring snow cover is one the most critical topics in studying and understanding the cryosphere. As snow cover can vary significantly within short time spans and often extends over vast areas, spaceborne remote sensing constitutes an efficient observation technique to track it continuously. However, as optical imagery is limited by cloud cover and polar darkness, synthetic aperture radar (SAR) attracted more attention for its ability to sense day-and-night under any cloud and weather condition. In addition to widely applied backscattering-based method, thanks to the advancements of spaceborne SAR sensors and image processing techniques, many new approaches based on interferometric SAR (InSAR) and polarimetric SAR (PolSAR) have been developed since the launch of ERS-1 in 1991 to monitor snow cover under both dry and wet snow conditions. Critical auxiliary data including DEM, land cover information, and local meteorological data have also been explored to aid the snow cover analysis. This review presents an overview of existing studies and discusses the advantages, constraints, and trajectories of the current developments.

Item URL in elib:https://elib.dlr.de/127961/
Document Type:Article
Title:Remote Sensing of Snow Cover Using Spaceborne SAR: A Review
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Tsai, Ya-LunYa-Lun.Tsai (at) dlr.deUNSPECIFIED
Dietz, AndreasAndreas.Dietz (at) dlr.deUNSPECIFIED
Oppelt, NataschaUni KielUNSPECIFIED
Künzer, ClaudiaClaudia.Kuenzer (at) dlr.deUNSPECIFIED
Date:19 June 2019
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
DOI :10.3390/rs11121456
Page Range:pp. 1-44
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Keywords:synthetic aperture radar; backscattering; InSAR; PolSAR; snow classification; wet snow; cryosphere; data fusion; machine learning
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Dietz, Andreas
Deposited On:25 Jun 2019 08:47
Last Modified:14 Dec 2019 04:27

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