Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 17, issue 12
Articles | Volume 17, issue 12
https://doi.org/10.5194/essd-17-7147-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-7147-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 12
Data description article
 | 
12 Dec 2025
Data description article |  | 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

Viewed

Total article views: 3,491 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,414 908 169 3,491 215 110 131
  • HTML: 2,414
  • PDF: 908
  • XML: 169
  • Total: 3,491
  • Supplement: 215
  • BibTeX: 110
  • EndNote: 131
Views and downloads (calculated since 24 Jun 2025)
Cumulative views and downloads (calculated since 24 Jun 2025)

Viewed (geographical distribution)

Total article views: 3,491 (including HTML, PDF, and XML) Thereof 3,378 with geography defined and 113 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 02 May 2026
Download
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint