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.
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.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
08 Sep 2023
Data description paper |
| 08 Sep 2023
| 08 Sep 2023
High-resolution global map of closed-canopy coconut palm
CREAF, Cerdanyola del Vallès, Barcelona 08193, Spain
Serge Wich
School of Biological and Environmental Sciences, Liverpool John Moores
University, Liverpool, L3 3AF, UK
Zoltan Szantoi
Science, Applications & Climate Department, European Space Agency,
Frascati 00044, Italy
Department of Geography & Environmental Studies, Stellenbosch University, Stellenbosch 7602, South Africa
Matthew J. Struebig
Durrell Institute of Conservation and Ecology, University of Kent,
Canterbury, England, UK
Rona Dennis
Borneo Futures, Bandar Seri Begawan, Brunei Darussalam
Zoe Hatton
School of Biological and Environmental Sciences, Liverpool John Moores
University, Liverpool, L3 3AF, UK
Thina Ariffin
Borneo Futures, Bandar Seri Begawan, Brunei Darussalam
Nabillah Unus
Borneo Futures, Bandar Seri Begawan, Brunei Darussalam
David L. A. Gaveau
TheTreeMap, Bagadou Bas, Martel 46600, France
visiting scientist at: Jeffrey Sachs Center on Sustainable Development,
Sunway University, 5, Jalan Universiti, Bandar Sunway, 47500 Petaling Jaya,
Selangor
Erik Meijaard
Borneo Futures, Bandar Seri Begawan, Brunei Darussalam
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Cited
12 citations as recorded by crossref.
- Carbon Sequestration for Global-Scale Climate Change Mitigation: Overview of Strategies Plus Enhanced Roles for Perennial Crops D. Murphy 10.3390/crops5030039
- Satellite imagery reveals widespread coconut plantations on Pacific atolls M. Burnett et al. 10.1088/1748-9326/ad8c66
- Monitoring biweekly dynamics of pan-tropical industrial plantations over 6 years using 100 m PROBA-V data A. Bos et al. 10.3389/frsen.2025.1575100
- Applying the Dempster–Shafer Fusion Theory to Combine Independent Land-Use Maps: A Case Study on the Mapping of Oil Palm Plantations in Sumatra, Indonesia C. Bethuel et al. 10.3390/rs17020234
- Towards reliable land cover mapping under domain shift: An overview and comprehensive comparative study on uncertainty estimation C. Ji & H. Tang 10.1016/j.earscirev.2025.105070
- Global mapping of oil palm planting year from 1990 to 2021 A. Descals et al. 10.5194/essd-16-5111-2024
- Direct and indirect deforestation for cocoa in the tropical moist forests of Ghana C. Renier et al. 10.1088/2976-601X/add01b
- Effect of Nusantara diet feeding with triglyceride glucose index as a measure of insulin resistance in individuals’ metabolic syndrome risk. . Rahma et al. 10.12873/443widiana
- AI and machine learning tools in plantation mapping: potentials of high-resolution satellite data N. Segar et al. 10.15547/ast.2024.02.012
- Intergovernmental Panel on Climate Change (IPCC) Tier 1 forest biomass estimates from Earth Observation N. Hunka et al. 10.1038/s41597-024-03930-9
- High-resolution global map of closed-canopy coconut palm A. Descals et al. 10.5194/essd-15-3991-2023
- Sustainable nutrition and the case of vegetable oils to match present and future dietary needs P. Mannucci et al. 10.3389/fpubh.2023.1106083
10 citations as recorded by crossref.
- Carbon Sequestration for Global-Scale Climate Change Mitigation: Overview of Strategies Plus Enhanced Roles for Perennial Crops D. Murphy 10.3390/crops5030039
- Satellite imagery reveals widespread coconut plantations on Pacific atolls M. Burnett et al. 10.1088/1748-9326/ad8c66
- Monitoring biweekly dynamics of pan-tropical industrial plantations over 6 years using 100 m PROBA-V data A. Bos et al. 10.3389/frsen.2025.1575100
- Applying the Dempster–Shafer Fusion Theory to Combine Independent Land-Use Maps: A Case Study on the Mapping of Oil Palm Plantations in Sumatra, Indonesia C. Bethuel et al. 10.3390/rs17020234
- Towards reliable land cover mapping under domain shift: An overview and comprehensive comparative study on uncertainty estimation C. Ji & H. Tang 10.1016/j.earscirev.2025.105070
- Global mapping of oil palm planting year from 1990 to 2021 A. Descals et al. 10.5194/essd-16-5111-2024
- Direct and indirect deforestation for cocoa in the tropical moist forests of Ghana C. Renier et al. 10.1088/2976-601X/add01b
- Effect of Nusantara diet feeding with triglyceride glucose index as a measure of insulin resistance in individuals’ metabolic syndrome risk. . Rahma et al. 10.12873/443widiana
- AI and machine learning tools in plantation mapping: potentials of high-resolution satellite data N. Segar et al. 10.15547/ast.2024.02.012
- Intergovernmental Panel on Climate Change (IPCC) Tier 1 forest biomass estimates from Earth Observation N. Hunka et al. 10.1038/s41597-024-03930-9
Discussed (final revised paper)
Latest update: 12 Jul 2025
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.
The spatial extent of coconut palm is understudied despite its increasing demand and associated...
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Final-revised paper
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