This data set includes land cover classification products of 30 meters in Qilian mountain area from 1985 to 2019. Firstly, the product uses Landsat-8/OLI to construct the 2015 time series data. According to the different NDVI time series curves of various ground features, the knowledge of different features is summarized, the rules are set to extract different features, and the land cover classification map in 2015 is obtained. The classification system refers to IGBP classification system and from_ LC classification system can be divided into 10 categories: cultivated land, woodland, grassland, shrub, wetland, water body, impervious surface, bare land, glacier and snow. According to the accuracy evaluation of Google Earth HD images and field survey data, the overall accuracy of land cover classification products in 2015 was as high as 92.19%. Based on the land cover classification products in 2015, based on the Landsat series data and strong geodetic data processing ability of Google Earth engine platform, the land cover classification products from 1985 to 2019 are produced by using the idea and method of change detection. By comparing the classification products, it is concluded that the land cover classification products based on Google Earth engine platform have good consistency with the classification products based on time series method. In short, the land cover data set in the core area of Qilian Mountain has high overall accuracy, and the method based on Google Earth engine platform sample training can expand the existing classification products in time and space, and can reflect more land cover type change information in a long time series.

File naming and required software

File Naming Convention: YYYY_QiLianShan_WholeArea _LC30.tif (YYYY: year)
Data Version：V1.0
Projection：+proj=longlat +datum=WGS84 +no_defs
Data Format: GeoTIFF, 40850 rows ×17023 columes
Filled Value：0

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Cite as:

Yang, A., Zhong, B., Jue, K., Wu, J. (2020). Land Cover Dataset at Qilian Mountain Area from 1985 to 2019 (V2.0). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Ecolo.tpdc.270916. CSTR: 18406.11.Ecolo.tpdc.270916. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Zhong, B., Ma, P., Nie, A., Yang, A., Yao, Y., Lü, W., & Liu, Q. (2014). Land cover mapping using time series HJ-1/CCD data. Science China Earth Sciences, 57(8), 1790-1799( View Details | Bibtex)

2. Zhong, B., Yang, A.X., Nie, A.H., Yao, Y.J., Zhang, H., Wu, S.L., & Liu, Q.H. (2015). Finer resolution land-cover mapping using multiple classifiers and multisource remotely sensed data in the Heihe river basin. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(10), 4973-4992.( 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)