High-resolution global map of closed-canopy coconut palm

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

doi:https://doi.org/10.5194/essd-15-3991-2023

Articles | Volume 15, issue 9

https://doi.org/10.5194/essd-15-3991-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-15-3991-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 9

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

Data sets

High-resolution global map of closed-canopy coconut palm Adrià Descals https://doi.org/10.5281/zenodo.8128183

Global Spatially-Disaggregated Crop Production Statistics Data for 2010 Version 2.0 International Food Policy Research Institute https://doi.org/10.7910/DVN/PRFF8V

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.