Long-term surface soil freeze-thaw states dataset of the Three-River_Source National Park using the dual-index algorithm (1979-2015)
Data naming: data folders are established by year, and each folder stores the daily surface freeze-thaw classification results of the year. The folder is named year (1979), and the data is named year + Julian day (1979002).
(2020). Long-term surface soil freeze-thaw states dataset of the Three-River_Source National Park using the dual-index algorithm (1979-2015). National Tibetan Plateau Data Center, DOI: 10.11888/Geocry.tpdc.270928. CSTR: 18406.11.Geocry.tpdc.270928. (Download the reference： RIS | Bibtex )Related Literatures:
1. Jin,R, Zhang,T,Y, Li,X, Yang,X,G, Ran,Y,H.(2015). Mapping surface soil freeze-thaw cycles in china based on smmr and ssm/i brightness temperatures from 1978 to 2008. Arctic, Antarctic, and Alpine Research, 47(2), 213-229.( View Details | Bibtex)
2. Xie, Y.M., Jin, R, & Yang, X.G. (2013). Algorithm development of monitoring daily near surface freeze/thaw cycles using amsr-e brightness temperatures. Remote Sensing Technology and Application, 28(2).( View Details | Download | Bibtex)
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