# A Review of Regional and Global Gridded Forest Biomass Datasets
## 3 Current Gridded Forest Biomass Maps
### AGB Maps from Other Data Sources
#### 3.5.7 Pan-European Map of Forest Biomass Increment
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Region** & **Base Year** & **Fixel Size** & **Forest Mask** & **Methodology** & **Accuracy/Uncertainty** & **Provider** \\ \hline \multirow{3}{*}{Mexico} & \multirow{3}{*}{2004–2007} & \multirow{3}{*}{30 m} & \multirow{3}{*}{INEGI land use map} & Random Forest modelling (field & \(\text{R}^{2}=0.5\); & [PERSON], [PERSON], \\  & & & inventory data, Landsat data, & RMSE = 14 C/Na (in the case of & [PERSON], [PERSON], [PERSON], \\  & & & MODIS data, PLAST data, & flat terrain) & [PERSON] and [PERSON] [65] \\ \hline \multirow{3}{*}{Mexico} & \multirow{3}{*}{2008} & \multirow{3}{*}{250 m} & \multirow{3}{*}{INEGI land use map} & MaxEnt (field inventory data, & \(\text{R}^{2}=0.31\); & [PERSON] et al. \\  & & & MODIS data, PLAST data, and & RMSE = 17.3 t C/Na & [66] \\ \cline{1-1} \cline{3-5} Tropical Africa and southeast Asia & \multirow{3}{*}{1980 and 2000} & \multirow{3}{*}{0.045\({}^{\circ}\)} & \multirow{3}{*}{GLC2000} & Rule-based CIS models (climate & \\  & & & data, soil, topographic data, and & & \\  & & & land-use information, and & & \\  & & & & & \\  & & & & population data) & & \\ \hline \multirow{3}{*}{Tropical regions} & \multirow{3}{*}{early 2000s} & \multirow{3}{*}{1 km} & MODIS VCF (10\% tree cover) & MaxEnt (field measurements, & \multirow{3}{*}{Uncertainty from\(\pm\)6\% to \(\pm\)53\%} & [PERSON] et al. [19] \\  & & & tree cover) & & microwave imagery) & \\ \hline \multirow{3}{*}{Pan-tropical regions} & \multirow{3}{*}{Circa regions} & \multirow{3}{*}{2007–2008} & \multirow{3}{*}{500 m} & MODIS ICBP land cover type & Random Forest algorithm (field & \multirow{3}{*}{RMSE = 25 Mg C/Na for tropical data, 4 Mg C/Na for Africa, and 24 Mg C/Na for Asia} & \\  & & & & cover type) & & \\ \hline \multirow{3}{*}{Pan-tropical regions} & \multirow{3}{*}{2000} & \multirow{3}{*}{30 m} & [PERSON] et al. 2013 & \multirow{3}{*}{Random Forest model (field data, & \multirow{3}{*}{Not reported} & \multirow{3}{*}{[PERSON] et al. [91]} \\  & & data and national tree & cover & & & \\  & & loss/deforestation & & climate data) & & \\ \hline \multirow{3}{*}{Pan-tropical regions} & \multirow{3}{*}{2000–2008} & \multirow{3}{*}{1 km} & \multirow{3}{*}{GLC2000} & Weighted linear averaging & \multirow{3}{*}{RMSE = 87–98 Mg/ha;} & \multirow{3}{*}{[PERSON] et al. [103]} \\  & & & method (biomass reference & & & \\  & & & datasets, [PERSON] et al. 2011 & & & \\  & & & biomass map and [PERSON] et al. & & \\  & & & & 2012 biomass map) & & \\ \hline \multirow{3}{*}{Africa} & \multirow{3}{*}{2000} & \multirow{3}{*}{1 km} & \multirow{3}{*}{GLC2000} & Regression tree model (field data, & \(\text{R}^{2}=0.82\); & \\  & & & GLAS, and MODIS data) & RMSE = 50.5 Mg/ha & \\ \hline \multirow{3}{*}{Amazon} & \multirow{3}{*}{2005} & \multirow{3}{*}{40 m and 1 km} & \multirow{3}{*}{–} & Combination (canopy height & \(\text{R}^{2}=0.41\); & \\  & & & map and individual-based forest & & & \\  & & & & gap model) & & \\ \hline \hline \end{tabular}
\end{table} 
Table 1: _Cont._