The vegetation type map was created by the random forest (RF) classification approach, based on 319 ground-truth samples, combined with a set of input variables derived from the visible, infrared, and thermal Landsat-8 images. According to vegetation characteristics, four types include alpine swamp meadow (ASM), alpine meadow (AM), alpine steppe (AS), and alpine desert (AD) were classified in this map. Based on a spatial resolution of 30 m, the map can provide more detailed vegetation information.

File naming and required software

File naming: the file is stored in raster image format, naming "Vege_Type_TTH.tif".
Data reading method: it can be opened by ArcGIS and other software.

Data Citations Data citation guideline What's data citation?

Cite as:

Zou, D., Zhao, L., Liu, G., Du, E., Li, Z., Wu, T., Wu, X., Chen, J. (2022). Vegetation type map in the source area of Tuotuo River. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Terre.tpdc.271932. CSTR: 18406.11.Terre.tpdc.271932. (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.

References literature

1.Zou, D.F., Zhao L., Liu, G.Y., Du, E.J., Hu, G.J., Li, Z.B.,Wu, T.H., Wu, X.D. and Chen, J. (2022). Vegetation Mapping in the Permafrost Region: A Case Study on the Central Qinghai-Tibet Plateau. Remote Sensing, 14, 232. (View Details )

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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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