A combined classification scheme to characterise river ice from SAR data
Yves Gauthier, Frank Weber, Stéphane Savary, Martin Jasek, Lisa-Marie Paquet and Monique Bernier
Abstract
Rivers
and streams are key elements in the terrestrial re-distribution of water. This
is particularly so in winter, when the overland flow is minimal. An ice cover
has a significant impact on rivers, as it affects the discharge capacity, can
modify the ecosystem and microclimate, cause flooding, restrict navigation and
impact hydropower generation. In the recent years, BC Hydro has been looking
at the potential of RADARSAT-1 data (C-band, HH polarization) to classify river
ice types and to determine ice cover characteristics for safe and efficient dam
operations. The preliminary results of this project have confirmed that SAR
data could provide valuable information about the ice front location and the
ice conditions upstream and downstream of this point. This paper shows that a
combination of texture and backscattering images improved the discrimination of
ice cover types during freeze-up. RADARSAT-1 and ASAR data showed comparable
backscattering profiles for 500 m averaged river reaches and produced
comparable ice maps. However, in comparison with RADARSAT-1 fine beam images,
the relatively coarse resolution of the ASAR data further reduces the sensitivity
of the classification by missing details and incorrectly classifying mixed
pixels. The addition of the vertical polarization did not add significant skill
to the classification.
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History
Submitted: 23 Feb 2005
Revised: 03 Feb 2006
Accepted: 03 Feb 2006
Published: 20 Feb 2006
Citation
Gauthier Y, F Weber, S Savary, M Jasek, L-M Paquet & M Bernier, 2006. A combined classification scheme to characterise river ice from SAR data.
EARSeL eProceedings, 5(1): 77-88
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ISSN 1729-3782
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