Abstract
In this study, a quantitative Freeze/thaw (F/T) index from passive microwave observations is defined, and is assumed to be linearly correlated with land surface temperature from thermal infrared observations. Thus, a linear regression method is proposed and verified to be effective over a multiscale network of Naqu of the Tibetan Plateau. Then, we implement and test the proposed approach to generate daily F/T state maps at a 5-km spatial resolution through the fusion of AMSR2 and MODIS data. It is found the high resolution F/T maps agreed well with ground reference observations of 0-cm soil temperature, with an overall accuracy of ~86.6%. This study provides new insights for high-resolution F/T mapping beyond the (Soil Moisture Active Passive) SMAP mission.
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