The Potential of COSMO-SkyMed SAR Images in Monitoring Snow Cover Characteristics | Zendy

S. Pettinato | Zendy; E. Santi | Zendy; M. Brogioni | Zendy; S. Paloscia | Zendy; E. Palchetti | Zendy; Chuan Xiong | Zendy

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The Potential of COSMO-SkyMed SAR Images in Monitoring Snow Cover Characteristics

Author(s) -

S. Pettinato,

E. Santi,

M. Brogioni,

S. Paloscia,

E. Palchetti,

Chuan Xiong

Publication year - 2012

Publication title -

ieee geoscience and remote sensing letters

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.372

H-Index - 114

eISSN - 1558-0571

pISSN - 1545-598X

DOI - 10.1109/lgrs.2012.2189752

Subject(s) - geoscience , power, energy and industry applications , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , signal processing and analysis

Monitoring of snow cover is crucial to the study of global climate changes for water resource management, as well as for flood and avalanche risk prevention. The sensitivity to snow characteristics of X-band backscattering of COSMO-SkyMed mission has been analyzed in the framework of experimental and model activities. X-band data have been found to contribute to the retrieval of the snow water equivalent (SWE), provided that the snow cover is characterized by a snow depth (SD) of roughly 60-70 cm (SWE >; 100-150 mm) and with relatively large crystal dimensions. Subsequently, an algorithm for retrieving SD or SWE has been developed and tested with experimental data collected on several ground stations.

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