Land cover data for Southeast Asia (2015)
File name: the data is stored in NetCDF format. The file name is "land cover type in Southeast Asia.nc", and the variable name in NetCDF file is "land cover type".
Read and write: the data can be read by commonly used computer languages that can process NetCDF file, such as Python, MATLAB and R language.
Liu, J. (2022). Land cover data for Southeast Asia (2015). A Big Earth Data Platform for Three Poles, (Download the reference: RIS | Bibtex )
Related Literatures:1. 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.
Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)
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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)
1.Crevasse dataset over typical ice shelves in Antarctica(2015、2016、2020)
2.Permafrost Distribution of the circum-Arctic (2000-2015)
3.Daily cloudless MODIS snow albedo dataset of Babaohe River basin (2008-2014)
4.Guangxi Province 1:100000 landuse dataset (1985)
7.1:100,000 landuse dataset of Shaanxi province (1980s)
8.An elevation change dataset in typical drainages of Antarctica ice sheet (2010-2020)
No record
No record
Current page automatically show English comments Show comments in all languages
East: 109.47 | West: 92.19 |
---|---|
South: 5.62 | North: 28.54 |
Contact Support
Northwest Institute of Eco-Environment and Resources, CAS 0931-4967287 poles@itpcas.ac.cnLinks
National Tibetan Plateau Data CenterFollow Us
A Big Earth Data Platform for Three Poles © 2018-2020 No.05000491 | All Rights Reserved | No.11010502040845
Tech Support: westdc.cn