Articles | Volume 13, issue 8
Earth Syst. Sci. Data, 13, 3907–3925, 2021
https://doi.org/10.5194/essd-13-3907-2021
Earth Syst. Sci. Data, 13, 3907–3925, 2021
https://doi.org/10.5194/essd-13-3907-2021

Data description paper 11 Aug 2021

Data description paper | 11 Aug 2021

The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019

Jie Yang and Xin Huang

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Cited articles

Azzari, G. and Lobell, D. B.: Landsat-based classification in the cloud: An opportunity for a paradigm shift in land cover monitoring, Remote Sens. Environ., 202, 64–74, https://doi.org/10.1016/j.rse.2017.05.025, 2017. 
Bauer, E. and Kohavi, R.: Empirical comparison of voting classification algorithms: bagging, boosting, and variants, Mach. Learn., 36, 105–139, https://doi.org/10.1023/a:1007515423169, 1999. 
Belgiu, M. and Drăgu, L.: Random forest in remote sensing: A review of applications and future directions, ISPRS J. Photogramm. Remote Sens., 114, 24–31, https://doi.org/10.1016/j.isprsjprs.2016.01.011, 2016. 
Bontemps, S., Defourny, P., Radoux, J., Van Bogaert, E., Lamarche, C., Achard, F., Mayaux, P., Boettcher, M., Brockmann, C., Kirches, G., Zülkhe, M., Kalogirou, V., and Arino, O.: Consistent global land cover maps for climate modeling communities: Current achievements of the ESA's land cover CCI, in: ESA Living Planet Symposium, vol. 2013, 9–13, available at: https://ftp.space.dtu.dk/pub/Ioana/papers/s274_2bont.pdf (last access: 6 August 2021), 2013. 
Chen, J., Chen, J., Liao, A., Cao, X., Chen, L., Chen, X., He, C., Han, G., Peng, S., Lu, M., Zhang, W., Tong, X., and Mills, J.: Global land cover mapping at 30 m resolution: A POK-based operational approach, ISPRS J. Photogramm. Remote Sens., 103, 7–27, https://doi.org/10.1016/j.isprsjprs.2014.09.002, 2015. 
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Short summary
We produce the 30 m annual China land cover dataset (CLCD), with an accuracy reaching 79.31 %. Trends and patterns of land cover changes during 1985 and 2019 were revealed, such as expansion of impervious surface (+148.71 %) and water (+18.39 %), decrease in cropland (−4.85 %) and increase in forest (+4.34 %). The CLCD generally reflected the rapid urbanization and a series of ecological projects in China and revealed the anthropogenic implications on LC under the condition of climate change.