Articles | Volume 13, issue 11
Earth Syst. Sci. Data, 13, 5353–5368, 2021
Earth Syst. Sci. Data, 13, 5353–5368, 2021

Data description paper 18 Nov 2021

Data description paper | 18 Nov 2021

Refined burned-area mapping protocol using Sentinel-2 data increases estimate of 2019 Indonesian burning

David L. A. Gaveau et al.

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Cited articles

Adrianto, H. A., Spracklen, D. V., Arnold, S. R., Sitanggang, I. S., and Syaufina, L.: Forest and Land Fires Are Mainly Associated with Deforestation in Riau Province, Indonesia, Remote Sens.-Basel, 12, 3,, 2020. 
Alonso-Canas, I. and Chuvieco, E.: Global burned area mapping from ENVISAT-MERIS and MODIS active fire data, Remote Sens. Environ., 163, 140–152, 2015. 
Breiman, L.: Random forests, Mach. Learn., 45, 5–32, 2001. 
Carmenta, R., Zabala, A., Trihadmojo, B., Gaveau, D., Salim, M. A., and Phelps, J.: Evaluating bundles of interventions to prevent peat-fires in Indonesia, Global Environ. Chang., 67, 102154,, 2021. 
Chuvieco, E., Pettinari, M. L., Bastarrika, A., Roteta, E., Storm, T., and Padilla Parellada, M.: ESA Fire Climate Change Initiative (Fire_cci): Small Fire Dataset (SFD) Burned Area pixel product for Sub-Saharan Africa, version 1.1, Centre for Environmental Data Analysis [data set],, 2018. 
Short summary
Severe burning struck Indonesia in 2019. Drawing on new satellite imagery, we present and validate new 2019 burned-area estimates for Indonesia. We show that > 3.11 million hectares (Mha) burned in 2019, double the official estimate from the Indonesian Ministry of Environment and Forestry. Our relatively more accurate estimates have important implications for carbon-emission calculations from forest and peatland fires in Indonesia.