Articles | Volume 12, issue 2
Earth Syst. Sci. Data, 12, 847–867, 2020
Earth Syst. Sci. Data, 12, 847–867, 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,, 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,, 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,, 2011. 
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.