Ground penetrating radar observation dataset of typical wetland in Namucuo (2019-2020)- A Big Earth Data Platform for Three Poles

Ground-penetrating radar method is a narrow pulse broadband high-frequency electromagnetic wave signal detection of underground media distribution technology method, with fast, non-destructive, continuous detection and real-time display characteristics. The use of detection instrument is GR-IV type geological radar, and set up different power antenna, in August 2019 and August 2020 to carry out 2 years of coverage of Namucuo Niyaqu typical wetland area within the range of ground-penetrating radar observation, obtained the 2019-2020 Namucuo typical wetland ground-penetrating radar data set, and data format is raw.

File naming and required software

Namacuo-radar-YYYYMMDD-X.raw Namacuo represents the region, radar represents ground-penetrating radar, YYYYMMDD represents the date of the year, month and day, X represents the number of lines observed in the region, raw is the data format ACDSEE software can be used to open the data directly, and the observed data is the vertical regional distribution data.

Data Citations Data citation guideline What's data citation?

Cite as:

Du, J. (2021). Ground penetrating radar observation dataset of typical wetland in Namucuo (2019-2020). A Big Earth Data Platform for Three Poles, (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

Second Tibetan Plateau Scientific Expedition Program

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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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