This data set is a code file set of TCA (triple collision analysis) algorithm, which is used to generate the global daily-scale soil moisture fusion dataset from 2011 to 2018.

File naming and required software

The files of “XXX.pro” are the ENVI-IDL (The Environment for Visualizing Images-Interactive Data Language) files, and “Program Introduction-En.txt” is the instruction document of the ENVI-IDL files.

Data Citations Data citation guideline What's data citation?

Cite as:

Xie, Q., Jia, L., Hu, G. (2022). Codes of the global daily-scale soil moisture fusion dataset based on Triple Collocation Analysis (2011-2018). A Big Earth Data Platform for Three Poles, DOI: 10.11888/RemoteSen.tpdc.271988. CSTR: 18406.11.RemoteSen.tpdc.271988. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Xie, Q., Jia, L., & Menenti, M., et al. (2022). Global soil moisture data fusion by Triple Collocation Analysis from 2011 to 2018. Scientific Data, 9, 687. https://doi.org/10.1038/s41597-022-01772-x( View Details | Download | Bibtex)

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

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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)