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Three MODIS-based fractional snow cover data are evaluated over the Tibetan Plateau from May, 2013 to April, 2015 with Landsat8/OLI data, including MOD10A1 in MODIS snow products collection 6[1, 2], along with MODSCAG[3] and MODAGE[4] fractional snow cover data which were retrieved based on linear spectral mixture analysis algorithm. The significant difference between MODSCAG and MODAGE is the endmember...
The Moderate Resolution Imaging Spectroradiometer (MODIS) fractional snow cover products may have significant errors due to cloud contamination, varying viewing geometry and complex surface properties. To improve snow and cloud discrimination with a particular interest in large sensor viewing angles, we utilize a reinterpretation test accounting for temporal surface variability to discard false positives...
Microwave radiometer measurements are used to extract snowpack information. However, the coarse spatial resolution of satellite brightness temperature observations hinders snow depth retrieval algorithm development and other applications. Measurements therefore require better spatial resolution to improve snow depth retrieval with enhanced resolution and accuracy. In this paper, a linear unmixing...
This paper presented a pixel-based statistical regression method based on a high-resolution snow depth product to improve the accuracy of passive microwave snow depth retrievals. The statistical regression relation was established based on a linear relationship between the snow depth and the brightness temperature (TB) difference. The coefficients of these regression equations were derived using the...
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