Articles | Volume 17, issue 12
https://doi.org/10.5194/essd-17-7147-2025
https://doi.org/10.5194/essd-17-7147-2025
Data description paper
 | 
12 Dec 2025
Data description paper |  | 12 Dec 2025

Spatial patterns of sandy beaches in China and risk analysis of human infrastructure squeeze based on multi-source data and ensemble learning

Jie Meng, Duanyang Xu, Zexing Tao, and Quansheng Ge

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Cited articles

Bai, Z., Ye, Y., Zhou, L., Li, Z., and Yin, G.: Robust registration of aerial images and LiDAR data using spatial constraints and Gabor structural features, ISPRS J. Photogramm. Remote Sens., 181, 129–147, https://doi.org/10.1016/j.isprsjprs.2021.09.010, 2021. 
Bao, Z., Sha, J., Li, X., Hanchiso, T., and Shifaw, E.: Monitoring of beach litter by automatic interpretation of unmanned aerial vehicle images using the segmentation threshold method, Mar. Pollut. Bull., 137, 388–398, https://doi.org/10.1016/j.marpolbul.2018.08.009, 2018. 
Barbier, E. B., Hacker, S. D., Kennedy, C., Koch, E. W., Stier, A. C., and Silliman, B. R.: The value of estuarine and coastal ecosystem services, Ecol. Monogr., 81, 169–193, https://doi.org/10.1890/10-1510.1, 2011. 
Baum-Snow, N., Brandt, L., Henderson, J. V., Turner, M. A., and Zhang, Q.: Roads, Railroads, and Decentralization of Chinese Cities, Rev. Econ. Stat., 99, 435–448, https://doi.org/10.1162/REST_a_00660, 2017. 
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Short summary
This study used multi-source remote sensing data and ensemble learning methods to map the distribution of sandy beaches in China from 2016 to 2024. A total of 3447 sandy beaches were identified with high accuracy by integrating Sentinel-1/2 satellite imagery, terrain, and nighttime light data. Since 1990, the area at risk from human infrastructure squeeze has significantly increased. This study provides an updated dataset to support sustainable coastal management.
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