The permafrost stability map was created based on the classification system proposed by Guodong Cheng (1984), which mainly depended on the inter-annual variation of deep soil temperature. By using the geographical weighted regression method, many auxiliary data was fusion in the map, such as average soil temperature, snow cover days, GLASS LAI, soil texture and organic from SoilGrids250, soil moisture products from CLDAS of CMA, and FY2/EMSIP precipitation products. The permafrost stability data spatial resolution is 1km and represents the status around 2010. The following table is the permafrost stability classification system. The data format is Arcgis Raster.

File naming and required software

Data name: perma_stab

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Cite as:

Ran, Y. (2019). Permafrost stability type map for Sanjiangyuan in 2010s. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Geocry.tpdc.270973. CSTR: 18406.11.Geocry.tpdc.270973. (Download the reference： RIS | Bibtex )

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References literature

1.Youhua Ran, Xin Li, Zhuotong Nan, Sheng Yu, Qingbai Wu, Huijun Jin, Xiaobo Wu, Dongliang Luo, Guodong Cheng. A permafrost stability distribution map over the Third Pole inferred from remote sensing and borehole measurements. Submitted to Remote Sensing of Environment, 2019. (View Details )

2.Ran, Y.H., Li, X., & Cheng, G.D. (2018). Climate warming over the past half century has led to thermal degradation of permafrost on the qinghai–tibet plateau. The Cryosphere, 12(2), 595-608. (View Details | Download )

Support Program

o Strategic Priority ResearchProgram of the Chinese Academy of Sciences: Grant No. XDA19070204 (No:XDA19070204)

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