Supplement of Earth Syst. Sci. Data, 13, 3927–3950, 2021 https://doi.org/10.5194/essd-13-3927-2021-supplement © Author(s) 2021. CC BY 4.0 License. Supplement of The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations Maurizio Santoro et al. Correspondence to: Maurizio Santoro (
[email protected]) The copyright of individual parts of the supplement might differ from the article licence. 1 Supplement of manuscript 2 The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite 3 observations 4 Maurizio Santoro et al. 5 S.1 Auxiliary datasets 6 7 The European Space Agency (ESA) Climate Change Initiative Land Cover (CCI-LC) dataset consists of 8 annual (1992-2018) maps classifying the world’s land cover into 22 classes (Table S6). The overall 9 accuracy of the 2010 land cover dataset was 76% (Defourny et al., 2014), with the most relevant 10 commission and omission errors in mixed classes or in regions of strongly heterogeneous land cover. The 11 land cover maps were provided in equiangular projection with a pixel size of 0.00278888° in both latitude 12 and longitude. In this study, we used the land cover map of 2010, version 2.07. The dataset was re- 13 projected to the map geometry of our AGB dataset. 14 15 The Global Ecological Zones (GEZ) dataset produced by the Food and Agriculture Organization (FAO, 16 2001) divides the land surface into 20 zones (Figure S2, Table S2) with “broad yet relatively 17 homogeneous natural vegetation formations, similar (but not necessarily identical) in physiognomy” 18 (FAO, 2001).