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 article
| 
08 Sep 2023
Data description article |
| 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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Total article views: 9,767 (including HTML, PDF, and XML)
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Total article views: 7,078 (including HTML, PDF, and XML)
Thereof 6,975 with geography defined
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Total article views: 2,689 (including HTML, PDF, and XML)
Thereof 2,609 with geography defined
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Cited
20 citations as recorded by crossref.
- Carbon Sequestration for Global-Scale Climate Change Mitigation: Overview of Strategies Plus Enhanced Roles for Perennial Crops D. Murphy
- Integrating Knowledge-Based and Machine Learning for Betel Palm Mapping on Hainan Island Using Sentinel-1/2 and Google Earth Engine H. Luo et al.
- Satellite imagery reveals widespread coconut plantations on Pacific atolls M. Burnett et al.
- Unveiling small-scale tropical forest loss and post-loss recovery in the Congo Basin Y. Zhang et al.
- Coconut Tree Disease Detection Using the Piecewise Linear Chaotic Map-Based Cuckoo Search Optimization with Convolutional Neural Networks K. Gopalakrishna et al.
- A Multi-Source Remote Sensing Identification Framework for Coconut Palm Mapping T. Wen et al.
- Global mapping of oil palm planting year from 1990 to 2021 A. Descals et al.
- GFC2020: a global map of forest land use for year 2020 to support the EU Deforestation Regulation C. Bourgoin et al.
- Direct and indirect deforestation for cocoa in the tropical moist forests of Ghana C. Renier et al.
- Remote sensing for crop mapping: A perspective on current and future crop-specific land cover data products C. Zhang et al.
- Time Series Analysis of Factors Affecting Coconut Price in the Philippines C. Camañan & J. Picar
- Mapping mangrove deforestation and blue carbon loss in global supply chains between 2000 and 2019 N. Ge et al.
- Beyond the Coastline: A Geospatial Framework for Inland Coconut Mapping Using Sentinel-2 Imagery R. Prasanna et al.
- Monitoring biweekly dynamics of pan-tropical industrial plantations over 6 years using 100 m PROBA-V data A. Bos et al.
- 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.
- Towards reliable land cover mapping under domain shift: An overview and comprehensive comparative study on uncertainty estimation C. Ji & H. Tang
- Characterizing Tropical Evergreen Forest Disturbances and Post-Disturbance Recovery Using Time-Series Landsat Canopy Openings Y. Zhang et al.
- Effect of Nusantara diet feeding with triglyceride glucose index as a measure of insulin resistance in individuals’ metabolic syndrome risk. . Rahma et al.
- AI and machine learning tools in plantation mapping: potentials of high-resolution satellite data N. Segar et al.
- Intergovernmental Panel on Climate Change (IPCC) Tier 1 forest biomass estimates from Earth Observation N. Hunka et al.
20 citations as recorded by crossref.
- Carbon Sequestration for Global-Scale Climate Change Mitigation: Overview of Strategies Plus Enhanced Roles for Perennial Crops D. Murphy
- Integrating Knowledge-Based and Machine Learning for Betel Palm Mapping on Hainan Island Using Sentinel-1/2 and Google Earth Engine H. Luo et al.
- Satellite imagery reveals widespread coconut plantations on Pacific atolls M. Burnett et al.
- Unveiling small-scale tropical forest loss and post-loss recovery in the Congo Basin Y. Zhang et al.
- Coconut Tree Disease Detection Using the Piecewise Linear Chaotic Map-Based Cuckoo Search Optimization with Convolutional Neural Networks K. Gopalakrishna et al.
- A Multi-Source Remote Sensing Identification Framework for Coconut Palm Mapping T. Wen et al.
- Global mapping of oil palm planting year from 1990 to 2021 A. Descals et al.
- GFC2020: a global map of forest land use for year 2020 to support the EU Deforestation Regulation C. Bourgoin et al.
- Direct and indirect deforestation for cocoa in the tropical moist forests of Ghana C. Renier et al.
- Remote sensing for crop mapping: A perspective on current and future crop-specific land cover data products C. Zhang et al.
- Time Series Analysis of Factors Affecting Coconut Price in the Philippines C. Camañan & J. Picar
- Mapping mangrove deforestation and blue carbon loss in global supply chains between 2000 and 2019 N. Ge et al.
- Beyond the Coastline: A Geospatial Framework for Inland Coconut Mapping Using Sentinel-2 Imagery R. Prasanna et al.
- Monitoring biweekly dynamics of pan-tropical industrial plantations over 6 years using 100 m PROBA-V data A. Bos et al.
- 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.
- Towards reliable land cover mapping under domain shift: An overview and comprehensive comparative study on uncertainty estimation C. Ji & H. Tang
- Characterizing Tropical Evergreen Forest Disturbances and Post-Disturbance Recovery Using Time-Series Landsat Canopy Openings Y. Zhang et al.
- Effect of Nusantara diet feeding with triglyceride glucose index as a measure of insulin resistance in individuals’ metabolic syndrome risk. . Rahma et al.
- AI and machine learning tools in plantation mapping: potentials of high-resolution satellite data N. Segar et al.
- Intergovernmental Panel on Climate Change (IPCC) Tier 1 forest biomass estimates from Earth Observation N. Hunka et al.
Saved (final revised paper)
Discussed (final revised paper)
Latest update: 16 May 2026
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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