Articles | Volume 12, issue 2
Earth Syst. Sci. Data, 12, 847–867, 2020
https://doi.org/10.5194/essd-12-847-2020
Earth Syst. Sci. Data, 12, 847–867, 2020
https://doi.org/10.5194/essd-12-847-2020
Data description paper
16 Apr 2020
Data description paper | 16 Apr 2020

Annual oil palm plantation maps in Malaysia and Indonesia from 2001 to 2016

Yidi Xu et al.

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Cited articles

Austin, K. G., Schwantes, A. M., Gu, Y., and Kasibhatla, P.: What causes deforestation in Indonesia?, Environ. Res. Lett., 14, 024007, https://doi.org/10.1088/1748-9326/aaf6db, 2018. 
Baklanov, A., Khachay, M., and Pasynkov, M.: Application of fully convolutional neural networks to mapping industrial oil palm plantations, International Conference on Analysis of Images, Social Networks and Texts, 11179, 155–16, https://doi.org/10.1007/978-3-030-11027-7_167, 2018. 
Balasundram, S. K., Memarian, H., and Khosla, R.: Estimating oil palm yields using vegetation indices derived from Quickbird, Life Sci. J., 10, 851–860, 2013. 
Barr, C. M. and Sayer, J. A.: The political economy of reforestation and forest restoration in Asia–Pacific: Critical issues for REDD+, Biol. Conserv., 154, 9–19, 2012. 
Broich, M., Hansen, M. C., Potapov, P., Adusei, B., Lindquist, E., and Stehman, S. V.: Time-series analysis of multi-resolution optical imagery for quantifying forest cover loss in Sumatra and Kalimantan, Indonesia, Int. J. Appl. Earth Obs., 13, 277–291, https://doi.org/10.1016/j.jag.2010.11.004, 2011. 
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Short summary
The first annual oil palm area dataset (AOPD) for Malaysia and Indonesia from 2001 to 2016 was produced by integrating multiple satellite datasets and a change-detection algorithm (BFAST). This dataset reveals that oil palm plantations have expanded from 5.69 to 19.05 M ha in the two countries during the past 16 years. The AOPD is useful in understanding the deforestation process in Southeast Asia and may serve as land-use change inputs in dynamic global vegetation models.