This dataset contains the ground surface water (including liquid water, glacier and perennial snow) distribution in Qilian Mountain Area in 2021. The dataset was produced based on classical Normalized Difference Water Index (NDWI) extraction criterion and manual editing. Landsat images collected in 2021 were used as basic data for water index extraction. Sentinel-2 images and Google images were employed as reference data for adjusting the extraction threshold. The dataset was stored in SHP format and attached with the attributions of coordinates and water area. Consisting of 1 season, the dataset has a temporal resolution of 1 year and a spatial resolution of 30 meters. The accuracy is about 1 pixel (±30 meter). The dataset directly reflects the distribution of water bodies within the Qilian Mountain in 2021, and can be used for quantitative estimation of water resource.

File naming and required software

 File Naming Convention and data description：
File Naming Convention: Class_coordinate_YYYY.shp (YYYY: year)
Data Version：V1.0
Projection：+proj=longlat +datum=WGS84 +no_defs
Data Format: shp
Water body：Polygon vector
Usage：The datasets are stored in the form of Class_coordinate_YYYY.shp, and can be read by ArcGIS or ENVI.

Data Citations Data citation guideline What's data citation?

Cite as:

Li, J. (2022). Water index in the Qilian Mountain Area (2021). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Terre.tpdc.272462. CSTR: 18406.11.Terre.tpdc.272462. (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.Du, Z.Q., Li, W.B., Zhou, D.B., Tian, L.Q., Ling, F., Wang, H.L., Gui, Y.M., Sun, B.Y. (2014). Analysis of Landsat-8 OLI imagery for land surface water mapping. Remote Sensing Letters, 5:7, 672-681, DOI: 10.1080/2 150704X.2014.960606 (View Details )

2.Liu, G.L., Zhang, L.C., Liu, J., Li, G.Y. (2013). Water body information extraction based on Landsat TM remote sensing imagery. Journal of University of Chinese Academy of Sciences, 30(5), 644-650. (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)