The active layer thickness in the Wudaoliang permafrost region of the Qinghai Tibet Plateau is retrieved based on the seasonal deformation obtained by SBAS-InSAR technology and ERA5-Land spatio-temporal multi-layer soil moisture data corrected by variational mode decomposition method. The time range of the is 2017-2020, and the spatial resolution is 1km. This data can be used to study the change of the active layer thickness in the permafrost region of the Qinghai Tibet Plateau and analyze its interaction with climate change, water cycle and energy cycle. It is significance to understand the permafrost degradation, environment evolution and the impact of permafrost degradation on ecology and climate.

File naming and required software

The active layer thickness data is stored in Geotiff format, and the file name is "Wudaoliang_ALT_year. tif", where Wudaoliang represents the name of the research area, ALT represents the active layer thickness, and year represents the year of the data, such as 2017.
Data reading method: The uploaded data is in Geotiff format and can be read by Matlab, ArcGIS, QGIS and other software.

Data Citations Data citation guideline What's data citation?

Cite as:

Lu, P., Hao, T., Li, R. (2022). Active Layer Thickness Data in Wudaoliang Region of Qinghai Tibet Plateau (2017-2020). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Cryos.tpdc.272892. CSTR: 18406.11.Cryos.tpdc.272892. (Download the reference： RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

CASEarth:Big Earth Data for Three Poles（grant No. XDA19070000） (No:XDA19000000)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)