Articles | Volume 15, issue 9
https://doi.org/10.5194/essd-15-3991-2023
https://doi.org/10.5194/essd-15-3991-2023
Data description paper
 | 
08 Sep 2023
Data description paper |  | 08 Sep 2023

High-resolution global map of closed-canopy coconut palm

Adrià Descals, Serge Wich, Zoltan Szantoi, Matthew J. Struebig, Rona Dennis, Zoe Hatton, Thina Ariffin, Nabillah Unus, David L. A. Gaveau, and Erik Meijaard

Viewed

Total article views: 3,127 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,336 728 63 3,127 42 53
  • HTML: 2,336
  • PDF: 728
  • XML: 63
  • Total: 3,127
  • BibTeX: 42
  • EndNote: 53
Views and downloads (calculated since 14 Feb 2023)
Cumulative views and downloads (calculated since 14 Feb 2023)

Viewed (geographical distribution)

Total article views: 3,127 (including HTML, PDF, and XML) Thereof 3,057 with geography defined and 70 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 09 May 2024
Download
Short summary
The spatial extent of coconut palm is understudied despite its increasing demand and associated impacts. We present the first global coconut palm layer at 20 m resolution. The layer was produced using deep learning and remotely sensed data. The global coconut area estimate is 12.31 Mha for dense coconut palm, but the estimate is 3 times larger when sparse coconut palm is considered. This means that coconut production can likely increase on the lands currently allocated to coconut palm.
Altmetrics
Final-revised paper
Preprint