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New Publication: An algorithm based on the standard deviation of passive microwave brightness temperatures for monitoring soil surface freeze/thaw state on the Tibetan Plateau


AUTHORS: Han, M., K. Yang, J. Qin, R. Jin, Y. Ma, J. Wen, Y. Chen, L. Zhao, Lazhu, and W. Tang

J. INFO: 2015, IEEE Trans. Geosci. Remote Sens., 53(5), 2775-2783, doi:10.11-09/TGRS.2014.2364823.

With the support of three soil moisture and temperature networks in the Tibetan Plateau, a microwave algorithm with AMSR-E data is developed for the detection of soil surface freeze/thaw state. The classification accuracy of this algorithm is more than 90% for the semi-humid and semi-arid regions, and misclassifications mainly occur at the transition period between unfrozen and frozen seasons.

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