Table of Contents
Remote Sens., Volume 11, Issue 8 (April-2 2019)
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Cover Story (view full-size image) Traditional studies on mapping wet snow cover extent (SCE) often feature limitations, especially in [...] Read more. Traditional studies on mapping wet snow cover extent (SCE) often feature limitations, especially in vegetated and mountainous areas. In this study, we propose a new total and wet SCE mapping strategy based on freely accessible spaceborne synthetic-aperture radar (SAR) data. The approach is transferable on a global scale and to different land cover types (including densely vegetated regions) and is based on the use of backscatter, interferometric coherence, and polarimetric parameters. Topographical factors were also included in the simple tuning of a random forest-based land cover-type-dependent classification strategy. Through a comprehensive validation using optical satellite and in situ data, our total SCE mapping approach was confirmed to be robustly applicable, and the holistic SCE maps for different months were eventually derived.View this paper.