Articles | Volume 27, issue 19
https://doi.org/10.5194/hess-27-3581-2023
https://doi.org/10.5194/hess-27-3581-2023
Research article
 | 
09 Oct 2023
Research article |  | 09 Oct 2023

Remote quantification of the trophic status of Chinese lakes

Sijia Li, Shiqi Xu, Kaishan Song, Tiit Kutser, Zhidan Wen, Ge Liu, Yingxin Shang, Lili Lyu, Hui Tao, Xiang Wang, Lele Zhang, and Fangfang Chen

Viewed

Total article views: 1,622 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,186 377 59 1,622 113 30 41
  • HTML: 1,186
  • PDF: 377
  • XML: 59
  • Total: 1,622
  • Supplement: 113
  • BibTeX: 30
  • EndNote: 41
Views and downloads (calculated since 22 Apr 2022)
Cumulative views and downloads (calculated since 22 Apr 2022)

Viewed (geographical distribution)

Total article views: 1,622 (including HTML, PDF, and XML) Thereof 1,537 with geography defined and 85 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 May 2024
Download
Short summary
1. Blue/red and green/red Rrs(λ) are sensitive to lake TSI. 2. Machine learning algorithms reveal optimum performance of TSI retrieval. 3. An accurate TSI model was achieved by MSI imagery data and XGBoost. 4. Trophic status in five limnetic regions was qualified. 5. The 10m TSI products were first produced in 555 typical lakes in China.