期刊
REMOTE SENSING OF ENVIRONMENT
卷 174, 期 -, 页码 314-328出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.rse.2015.12.021
关键词
Arctic; Sea ice and snow; Synthetic aperture radar; Operational sea ice monitoring; Surface processes
资金
- Natural Sciences and Engineering Research Council of Canada (NSERC)
- Alberta Innovates - Technology Futures
- Japan Aerospace Exploration Agency (JAXA)
- National Earth Observation Data Framework Catalog
- NASA
Differentiating between first-year ice (FYI) and multi-year ice (MYI) in C-band synthetic aperture radar (SAR) imagery during spring-summer melt, when wet snow and melt ponds mask the underlying ice, is difficult. It has been suggested that the use of L-band SAR may alleviate this concern given increased penetration depths at longer wavelengths; however, this has not been thoroughly assessed. Here the separability of FYI and MYI is compared using horizontally polarized (HH) C-band (RADARSAT-2) and L-band (ALOS/PALSAR) ScanSAR images acquired over landfast sea ice in the Canadian Arctic Archipelago in the spring and summer of 2009. L-band provided enhanced contrast between FYI and MW during early melt onset and during the drainage phase of advanced melt, while C-band was found to provide enhanced contrast when the wet snowpack was transitioning from the pendular regime to the funicular regime. At the time of the pendular-funicular transition, the backscatter signatures of FYI and MYI reversed at both C- and L-band. This behavior is well established at C-band, but has not been reported previously at L-band. The L-band imagery also provided improved definition of floe boundaries and ridges throughout the melt season. Finally, the L-band data had reduced speckle (equivalent number of looks similar to 12), relative to the C-band data (-9 equivalent looks). These results indicate that L-band SAR data acquired during the melt season could be used to enhance operational and scientific sea ice information products that have traditionally been derived from single-frequency C-band SAR data. Crown Copyright (C) 2016 Published by Elsevier Inc. All rights reserved.
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