10-meter resolution (Sentinel) land use dataset of key nodes (2017)-National Tibetan Plateau Data Center

Land use/cover maps are one of the most basic and fundamental datasets used in environmental issues and disaster risk prevention and control research. Based on the analysis of existing land use products, Sentinel datasets with a 10m resolution were used to classify in key node areas by object-oriented classification method based on eCognition platform software. At present, the Land use datasets (10-meter resolution ) of 8 key nodes include Kyaukpyu port, yangon,Djibouti, mandalay, hambantota port, Colombo port, rayong industrial zone, and Bangkok,were obtained. The accuracy of the data is analyzed based on a limited sample, the classification overall accuracy is about 90%. The classification system is: 10. Forest; 20. Cultivated Land; 21. Paddy filed; 22. Dry farmland; 30. Water; 31. River; 32. Lake (reservoir, pond); 33 .wetland marsh wetland; 40. Artificial surface; 43. Mining area; 50. Bareland bare soil, bare rock, desert, etc.; 60. Grassland; 70. Shrubland.

Data file naming and use method

In .shp format, can be opened and analysed in ARCGIS, eCognition,ENVI and ERDAS softwares.

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Cite as:

WANG Lihui. 10-meter resolution (Sentinel) land use dataset of key nodes (2017). National Tibetan Plateau Data Center, 2019. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Bi, Y.K., Niu, Z., Huang, N., Kang, J., & Pei, J. (2017). Identifying Vegetation with Decision Tree Model Based on Object-Oriented Method Using Multi-temporal Sentinel-2A Images. Geography and Geo-Information Science.( 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)

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