Translating bumblebee dialect…
Many populations in the western US depend on alpine snowpack as a primary water source. Therefore, monitoring snowmelt is critical for predicting water availability and is often accomplished through spaceborne remote sensing. Many such methods exist, however, a direct comparison of their data for a single location is not often available. This study monitors snowmelt in the East River watershed, Colorado using two MODIS datasets. The fractional snow-cover dataset MODSCAG and the spectral dataset MCD43A4 are evaluated for their representation of snow-cover for spring 2014. Moderate correlations exist between the two, with MODSCAG consistently classifying higher snow-covered area than MCD43A4.
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