Timely and correct observation of the spatial and temporal patterns and dynamics of oases is important for the property socioeconomic development of arid zones. During this study, a complete of 9 periods of Landsat image knowledge in 1986, 1990, 1995, 2000, 2005, 2010, 2015, 2018, and 2020 were accustomed get oasis distribution knowledge within the Hexi region from 1986 to 2020 employing a combination of OSTU threshold methodology and manual visual interpretation, and combined with high-resolution Google Earth pictures and field validation knowledge were combined to ascertain random sample points supported confusion matrix to verify the accuracy of oasis extraction results. The overall accuracy of oasis data in Hexi Corridor is over 94%, and the Kappa coefficient is over 0.88. This dataset can provide data support for the ecological environment protection of Hexi oasis.

File naming and required software

File name: 1986-2020 Hexi Corridor Oasis data set
Data reading method: all ASCII code files in the data set can be directly opened by text programs (such as Notepad). If they are to be displayed by graphics, they can be opened by ArcGIS. During the reading process, grid format files will be generated. The displayed grid file is the graphic expression of the ASCII code file.

Data Citations Data citation guideline What's data citation?

Cite as:

Xie, Y., Zhang, X., Liu, Y., Huang, X., Li, R., Zong, L., Xiao, M., Qin, M. (2022). Oasis dataset of Hexi Corridor based on landsat data (1986-2020). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Terre.tpdc.272766. CSTR: 18406.11.Terre.tpdc.272766. (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

Spatiotemporal processes of oasification along the Hexi Section of the Silk Road and dynamic monitoring of oasis desertification along the Hexi Corridor

Copyright & License

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