High resolution land cover dataset of Gwadar Port, Pakistan (v2010)

Gwadar deep water port is located in the south of Gwadar city in the southwest of Balochistan province, Pakistan. It is 460km away from Karachi in the East and 120km away from Pakistan Iran border in the West. It is adjacent to the Arabian Sea in the Indian Ocean in the South and the Strait of Hormuz and Red Sea in the West. It is a port with strategic position far away from Muscat, capital of Oman.

This data is the land cover data of Gwadar and its surrounding areas. The data is from globeland30 with a spatial resolution of 30 meters and a data format of TIFF.

The classification images used in the development of globeland30 data set mainly include Landsat's TM5, ETM +, oli multispectral images and HJ-1 multispectral images. Using the Pok based classification method, the total volume accuracy is 83.50%, and the kappa coefficient is 0.78.

File naming and required software

Data format: TIFF;
Spatial resolution: 30m;
Remarks: cultivated land / cultivated land: 10; forest / Woodland: 20; grass land / Grassland: 30; shrubland / shrub land: 40; Wetland / wetland: 50; water body / water body: 60; tundra / tundra: 70; artificial surfaces / artificial surface: 80; bareland / bare land: 90; permanent snow and ice / glacier and permanent snow: 100 .

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Cite as:

Wu, H. (2020). High resolution land cover dataset of Gwadar Port, Pakistan (v2010). A Big Earth Data Platform for Three Poles, (Download the reference： RIS | Bibtex )

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

References literature

1.Chen J., Ban Y., Li S. China: Open access to Earth land-cover map[J]. Nature, 2014, 514(7523): 434-434. DOI:10.1038/514434c. (View Details )

2.Chen, J., Chen, J., et al. Global land cover mapping at 30 m resolution: A POK-based operational approach[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2015， 103: 7-27. DOI: 10.1016/j.isprsjprs.2014.09.002. (View Details )

3.Xie H., Tong X., and Meng W., et al. A multilevel stratified spatial sampling approach for the quality assessment of remote-sensing-derived products[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(10): 4699-4713. DOI: 10.1109/JSTARS.2015.2437371. (View Details )

Support Program

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

Copyright & License

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