Articles | Volume 15, issue 6
https://doi.org/10.5194/essd-15-2347-2023
https://doi.org/10.5194/essd-15-2347-2023
Data description paper
 | 
07 Jun 2023
Data description paper |  | 07 Jun 2023

An improved global land cover mapping in 2015 with 30 m resolution (GLC-2015) based on a multisource product-fusion approach

Bingjie Li, Xiaocong Xu, Xiaoping Liu, Qian Shi, Haoming Zhuang, Yaotong Cai, and Da He

Viewed

Total article views: 2,155 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,623 478 54 2,155 151 33 45
  • HTML: 1,623
  • PDF: 478
  • XML: 54
  • Total: 2,155
  • Supplement: 151
  • BibTeX: 33
  • EndNote: 45
Views and downloads (calculated since 03 Aug 2022)
Cumulative views and downloads (calculated since 03 Aug 2022)

Viewed (geographical distribution)

Total article views: 2,155 (including HTML, PDF, and XML) Thereof 2,109 with geography defined and 46 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Apr 2024
Download
Short summary
A global land cover map with fine spatial resolution is important for climate and environmental studies, food security, or biodiversity conservation. In this study, we developed an improved global land cover map in 2015 with 30 m resolution (GLC-2015) by fusing the existing land cover products based on the Dempster–Shafer theory of evidence on the Google Earth Engine platform. The GLC-2015 performed well, with an OA of 79.5 % (83.6 %) assessed with the global point-based (patch-based) samples.
Altmetrics
Final-revised paper
Preprint