Abstract
The scatterometer SeaWinds on QuikSCAT provided regular measurements at Ku-band from 1999 to 2009. Although it was designed for ocean applications, it has been frequently used for the assessment of seasonal snowmelt patterns aside from other terrestrial applications such as ice cap monitoring, phenology and urban mapping. This paper discusses general data characteristics of SeaWinds and reviews relevant change detection algorithms. Depending on the complexity of the method, parameters such as long-term noise and multiple event analyses were incorporated. Temporal averaging is a commonly accepted preprocessing step with consideration of diurnal, multi-day or seasonal averages. © 2010 by the author; licensee Molecular Diversity Preservation International, Basel, Switzerland.
Figures
![Figure 4. Ten years (2000–2009) of spring snow melt dynamics based on diurnal thaw and refreeze detection [12]: (a) mean day of snowmelt start, (b) mean day of snowmelt end, (c) standard deviation of start of snowmelt in days, (d) standard deviation of end of snowmelt in days, (e) mean duration of spring snowmelt period, (f) standard deviation of spring snowmelt duration.](https://s3-eu-west-1.amazonaws.com/com.mendeley.prod.article-extracted-content/images/89f3b8a0-1ff1-3470-bc25-c07b8ef3c8ea/thumbnail-898cd16a-1831-4108-ae30-282712ecec26-5.png)
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