Articles | Volume 15, issue 1
https://doi.org/10.5194/essd-15-265-2023
https://doi.org/10.5194/essd-15-265-2023
Data description article
 | 
17 Jan 2023
Data description article |  | 17 Jan 2023

GWL_FCS30: a global 30 m wetland map with a fine classification system using multi-sourced and time-series remote sensing imagery in 2020

Xiao Zhang, Liangyun Liu, Tingting Zhao, Xidong Chen, Shangrong Lin, Jinqing Wang, Jun Mi, and Wendi Liu

Viewed

Total article views: 18,698 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
13,103 5,312 283 18,698 258 350
  • HTML: 13,103
  • PDF: 5,312
  • XML: 283
  • Total: 18,698
  • BibTeX: 258
  • EndNote: 350
Views and downloads (calculated since 19 Aug 2022)
Cumulative views and downloads (calculated since 19 Aug 2022)

Viewed (geographical distribution)

Total article views: 18,698 (including HTML, PDF, and XML) Thereof 18,133 with geography defined and 565 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Discussed (final revised paper)

Latest update: 18 Sep 2026
Download
Short summary
An accurate global 30 m wetland dataset that can simultaneously cover inland and coastal zones is lacking. This study proposes a novel method for wetland mapping and generates the first global 30 m wetland map with a fine classification system (GWL_FCS30), including five inland wetland sub-categories (permanent water, swamp, marsh, flooded flat and saline) and three coastal wetland sub-categories (mangrove, salt marsh and tidal flats).
Share
Altmetrics
Final-revised paper
Preprint