COMPARISON OF C-BAND AND X-BAND POLARIMETRIC SAR DATA FOR RIVER ICE CLASSIFICATION ON THE PEACE RIVER

In this study, synthetic aperture radar (SAR) data from TerraSAR-X were compared with RADARSAT-2 data to evaluate their effectiveness for river ice monitoring on the Peace River. For several years RADARSAT-2 data have been successfully used for river ice observation. However, it is important to take...

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Bibliographic Details
Published in:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Main Authors: Łoś, H., Osińska-Skotak, K., Pluto-Kossakowska, J., Bernier, M., Gauthier, Y., Jasek, M., Roth, A.
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2016
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Online Access:https://doi.org/10.5194/isprs-archives-XLI-B7-543-2016
https://noa.gwlb.de/receive/cop_mods_00012196
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00012152/isprs-archives-XLI-B7-543-2016.pdf
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B7/543/2016/isprs-archives-XLI-B7-543-2016.pdf
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Summary:In this study, synthetic aperture radar (SAR) data from TerraSAR-X were compared with RADARSAT-2 data to evaluate their effectiveness for river ice monitoring on the Peace River. For several years RADARSAT-2 data have been successfully used for river ice observation. However, it is important to take into account data from other satellites as they may provide solutions when it is not possible to obtain images from the preferred system (e.g., in the case of acquisition priority conflicts). In this study we compared three TerraSAR-X (X-band) and three RADARSAT-2 (C-band) datasets acquired in December 2013 on a section of the Peace River, Canada. For selected classes (open water, skim ice, juxtaposed skim ice, agglomerated skim ice, frazil run and consolidated ice) we compared backscattering values in HH and VV polarisation and performed Wishart supervised classification. Covariance matrices that were previously filtered using a refined Lee filter were used as input data for classification. For all data sets the overall accuracy was higher than 80%. Similar errors associated with classification output were observed for data from both satellite systems.