Focus on the important tourism cities and agricultural and pastoral areas relying on Sichuan Tibet and Qinghai Tibet line on the Qinghai Tibet Plateau, record and collect the image data of the current situation of node cities and villages along the line, the planning and construction of urban tourism and rural tourism, evaluate the supporting capacity of existing important node cities and villages for the construction of world tourism destinations on the Qinghai Tibet Plateau, and put forward the optimization and improvement scheme of urban and rural tourism development path and supporting cities of important nodes of world tourism destinations. The data sources are VR panoramic camera, panoramic HD vehicle recorder and digital camera. After collecting the data, the data are classified according to different collection locations. The data has been checked for many times to ensure its authenticity. It is an important part of the image database of the urban and rural tourism resource support system on the Qinghai Tibet Plateau.

File naming and required software

The important node data of urban tourism and rural tourism on the Qinghai Tibet Plateau are stored in picture format, and the names of folders and files are the English names of cities, counties, towns and villages. For example, "Changdu city. Zip" means that the data in this folder is collected in Changdu city.

Data Citations Data citation guideline What's data citation?

Cite as:

Fan, S. (2022). Urban and rural tourism in the Qinghai Tibet Plateau scientific research on Sichuan Tibet and Qinghai Tibet lines (2020). A Big Earth Data Platform for Three Poles, DOI: 10.11888/HumanNat.tpdc.272444. CSTR: 18406.11.HumanNat.tpdc.272444. (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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)