Articles | Volume 16, issue 11
https://doi.org/10.5194/essd-16-5111-2024
https://doi.org/10.5194/essd-16-5111-2024
Data description paper
 | 
06 Nov 2024
Data description paper |  | 06 Nov 2024

Global mapping of oil palm planting year from 1990 to 2021

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

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Cited articles

Ashton‐Butt, A., Willcock, S., Purnomo, D., Suhardi, A. A. K., Aryawan, R., Wahyuningsih, R., Naim, M., Poppy, G. M., Caliman, J.-P., Peh, K. S.-H., and Snaddon, J. L.: Replanting of first-cycle oil palm results in a second wave of biodiversity loss, Ecol. Evol., 9, 6433–6443, 2019. 
Candellone, E., Aleta, A., de Arruda, H. F., Meijaard, E., and Moreno, Y.: Understanding the Vegetable Oil Debate and Its Implications for Sustainability through Social Media, arXiv [preprint], https://doi.org/10.48550/arXiv.2308.07108, 2023. 
Carrere, R.: Oil palm in Africa: Past, present and future scenarios, WRM series on tree plantations, 15, 1–78, 2010. 
Chen, L.-C., Papandreou, G., Kokkinos, I., Murphy, K., and Yuille, A. L.: Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs, IEEE T. Pattern Anal., 40, 834–848, 2017. 
Chia, C., Lim, C., Teo, K., and Rao, V.: Oil palm replanting-experiences of underplanting, Planter, 78, 237–248, 2002. 
Short summary
This study provides a 10 m global oil palm extent layer for 2021 and a 30 m oil palm planting-year layer from 1990 to 2021. The oil palm extent layer was produced using a convolutional neural network that identified industrial and smallholder plantations using Sentinel-1 data. The oil palm planting year was developed using a methodology specifically designed to detect the early stages of oil palm development in the Landsat time series.
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