Land cover data for Southeast Asia (2015)

Land cover data for Southeast Asia (2015)


This data is the land cover data at 30m resolution of Southeast Asia in 2015. The data format of the data is NetCDF, and the variable name is "land cover type". The data was obtained by mosaicing and extracting the From-GLC data. Several land cover types, such as snow and ice that do not exist in Southeast Asia were eliminated.The legend were reintegrated to match the new data. The data provide information of 8 land cover types: cropland, forest, grassland, shrub, wetland, water, city and bare land. The overall accuracy of the data is 71% (Gong et al., 2019). The data can provide the land cover information of Southeast Asia for hydrological models and regional climate models.


File naming and required software

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.


Data Citations Data citation guideline What's data citation?
Cite as:

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 | Bibtex)

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


Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

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)


Related Resources
Comments

Current page automatically show English comments Show comments in all languages

Download Follow
Keywords
Geographic coverage
East: 109.47 West: 92.19
South: 5.62 North: 28.54
Details
  • Temporal resolution: Yearly
  • Spatial resolution: 10m - 100m
  • File size: 384 MB
  • Views: 430
  • Downloads: 1
  • Access: Requestable
  • Temporal coverage: 2015-01-01 To 2015-12-31
  • Updated time: 2022-04-18
Contacts
: LIU Junguo  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Attachments
Export metadata