30-meter Global land cover data (2010， 2015 and 2017) for key nodes of pan-third pole region- A Big Earth Data Platform for Three Poles

Global land cover data are key sources of information for understanding the complex interactions between human activities and global change. FROM-GLC (Finer Resolution Observation and Monitoring of Global Land Cover) from Tsinghua is the 30 m resolution global land cover maps produced. The Global land cover data of all 34 key nodes of pan-third pole region are produced through analyse by argis. The classfication system is crop(10), forest(20), grass(30), shrbu(40), wetland(50), water(60), tundra(70), impervious(80), Bareland(90), snow/ice(100), cloud(120). Finally, This data set serves as the research basis for all remote sensing data and provides baseline data for the project.

File naming and required software

In .tif format, can be opened and analysed in ARCGIS and ENVI softwares.

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Cite as:

Ge, Y., Ling, F., Zhang, Y. (2019). 30-meter Global land cover data (2010， 2015 and 2017) for key nodes of pan-third pole region. A Big Earth Data Platform for Three Poles, (Download the reference： RIS | Bibtex )

Related Literatures:

1. Peng, G. , Bc, D. , Xl, E. , Han, L. A. , Jie, W. , & Ybab, C. , et al. (2019). Mapping Essential Urban Land Use Categories in China (EULUC-China): preliminary results for 2018. Sci. Bull., 65(3), 182-187, https://doi.org/10.1016/j.scib.2019.12.007( View Details | Bibtex)

2. Gong, P., Wang, J., Yu, L., Zhao, Y., Zhao, Y., Liang, L., Niu, Z., Huang, X., Fu, H., Liu, S., Li, C., Li, X., Fu, W., Liu, C., Xu, Y., Wang, X., Cheng, Q., Hu, L., Yao, W., Zhang, H., Zhu, P., Zhao, Z., Zhang, H., Zheng, Y., Ji, L., Zhang, Y., Chen, H., Yan, A., Guo, J., Yu, L., Wang, L., Liu, X., Shi, T., Zhu, M., Chen, Y., Yang, G., Tang, P., Xu, B., Giri, C., Clinton, N., Zhu, Z., Chen, J., & Chen, J. (2013). Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data. International Journal of Remote Sensing, 34(7), 2607-2654. doi:10.1080/01431161.2012.748992.( View Details | Download | Bibtex)

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

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