High-resolution global map of smallholder and industrial closed-canopy oil palm plantations

Descals, Adrià; Wich, Serge; Meijaard, Erik; Gaveau, David L. A.; Peedell, Stephen; Szantoi, Zoltan

doi:https://doi.org/10.5194/essd-13-1211-2021

Articles | Volume 13, issue 3

https://doi.org/10.5194/essd-13-1211-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-13-1211-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 3

Data description paper

|

24 Mar 2021

Data description paper |

| 24 Mar 2021

High-resolution global map of smallholder and industrial closed-canopy oil palm plantations

Adrià Descals, Serge Wich, Erik Meijaard, David L. A. Gaveau, Stephen Peedell, and Zoltan Szantoi

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Final revised paper (published on 24 Mar 2021)
Preprint (discussion started on 24 Aug 2020)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

- Printer-friendly version

- Supplement

RC1: '1', Anonymous Referee #1, 01 Sep 2020
- AC1: 'Response to Reviewer #1', Zoltan Szantoi, 17 Nov 2020
- AC3: 'Reply on RC1', Zoltan Szantoi, 02 Feb 2021
RC2: 'Review ESSD-2020-159', Anonymous Referee #2, 25 Oct 2020
- AC2: 'Reply on RC2', Zoltan Szantoi, 02 Feb 2021

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Zoltan Szantoi on behalf of the Authors (02 Feb 2021) Author's response Author's tracked changes Manuscript

ED: Publish as is (08 Feb 2021) by David Carlson

AR by Zoltan Szantoi on behalf of the Authors (11 Feb 2021)

Short summary

Decision-making for sustainable vegetable oil production requires accurate global oil crop maps. We used high-resolution satellite data to train a deep learning model that accurately classified industrial and smallholder oil palm, the main oil-producing crop. Our results outperformed previous studies and proved the suitability of deep learning for land use mapping. The global oil palm area was 21±0.42 Mha for 2019; however, young and sparse plantations were not included in this estimate.