Land cover dataset of Pan-Third Pole major cities during 2000-2017- A Big Earth Data Platform for Three Poles

The land cover dataset of Pan third pole major cities contains 14 cities (Urumqi, Xining, Lanzhou, Dhaka, Kathmandu, Lucknow, Delhi, Lahore, Islamabad, Kabul, Dushanbe, Tashkent, Bishkek and Almaty) in 2000 / 2010 / 2017, the spatial resolution of this dataset is 30 m. It includes vegetation, cultivated land, artificial surface, water body and others. Based on globeland30, mcd12q1 and globcover2009, the consistent regions were identified and retained. The inconsistent regions were reclassified by deep learning method, and the final classification results were obtained by fusing the above regions.

The data has been verified by visual interpretation.

The data are applied to the study of construction land dynamics and anthropogenic influence in Pan-Third Pole cities.

Data type: grid.

Projection mode: UTM projection.

File naming and required software

Land cover data is stored in TIFF format, and the file name is "name"_ YYYY.tif ". NAME stands for the city name, YYYY represents the year. For instance, Almaty_ 2000 represents the land cover data of Almaty in 2000.
Data read mode: TIFF image can be opened by ArcGIS

Data Citations Data citation guideline What's data citation?

Cite as:

Xin, L., Li, X. (2020). Land cover dataset of Pan-Third Pole major cities during 2000-2017. A Big Earth Data Platform for Three Poles, DOI: 10.1016/j.scitotenv.2020.141270. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Luan, W.F., Li, X. (2020). Rapid urbanization and its driving mechanism in the Pan-Third pole region. Science of The Total Environment, https://doi.org/10.1016/j.scitotenv.2020.141270.( View Details | Bibtex)

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

Support Program

CASEarth:Big Earth Data for Three Poles（grant No. XDA19070000） (No:XDA19000000)

the Strategic Priority Research Program of the Chinese Academy of Sciences (No:XDA19070104) [XDA19070104]

Copyright & License

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