# 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  
This pan-European biomass increment dataset at 1 km resolution was generated using MODIS GPP data which was corrected by the GPP data derived from the Model Tree Ensemble (MTE) method with FLUXNET observations ([PERSON] et al., 2013). This map was highly consistent with observed data from National Forest Inventories. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Region** & **Base Year** & **Pixel Size** & **Forest Mask** & **Methodology** & **Accuracy/Uncertainty** & **Provider** \\ \hline \multirow{2}{*}{Global} & \multirow{2}{*}{2000} & \multirow{2}{*}{1 km} & \multirow{2}{*}{GLC200} & \multirow{2}{*}{Stratify and multiply (IPCC} & \multirow{2}{*}{Not reported} & \multirow{2}{*}{[PERSON] [49]} \\  & & & & defaults, GLC2000, & & \\  & & & & ecoregon zones) & & \\ \hline \multirow{2}{*}{Global} & \multirow{2}{*}{1950–2010,} & \multirow{2}{*}{1°} & A compilation of land & Interpolation (FAO, MCPFE, & \\  & every 5 years & & use maps & and UNECE) & Not evaluated formally & [PERSON] et al. [53] \\ \hline \multirow{2}{*}{Global} & \multirow{2}{*}{2005} & \multirow{2}{*}{0.5°} & \multirow{2}{*}{GLC2000} & Downscaling (FRA biomass, & \multirow{2}{*}{Not reported} & [PERSON] et al. [54] \\  & & & NPP, human activity data) & & \\ \hline \multirow{2}{*}{Global} & \multirow{2}{*}{1993–2012} & \multirow{2}{*}{0.25°} & MODIS IGBP land & Regression (VOD data, & \\  & & cover products & [PERSON] et al. map) & Not reported & [PERSON] et al. [105] \\ \hline \multirow{2}{*}{Global} & \multirow{2}{*}{2004} & \multirow{2}{*}{1 km} & MODIS Land Cover & Random forest model (field data, & \\  & & & GLAS data, optical imagery, & & \\  & & Type (MCD12Q1) & climate data, and & & \\  & & & topographic data) & & \\ \hline \multirow{2}{*}{Global} & \multirow{2}{*}{2005} & \multirow{2}{*}{1 km} & MODIS Land cover & Gradient Boosting Regression & \multirow{2}{*}{\(\text{R}^{2}=0.90\);} \\  & & & & Tree method (field data, MODIS, & \\  & & products & GLASS products, SRTM, & & \\  & & & climate data) & & \\  & & & & LiDAR-derived gridded data & \\ \hline \multirow{2}{*}{Global} & \multirow{2}{*}{2000 s} & \multirow{2}{*}{0.01} & [PERSON] et al. 2013 & Random Forest algorithm & \multirow{2}{*}{\
\begin{tabular}{} \end{tabular} } \\  & & forest cover map (10\% & & \\  & & tree cover) & & & \\ \hline \multirow{2}{*}{
\begin{tabular}{} \end{tabular} } & \multirow{2}{*}{2010} & \multirow{2}{*}{0.01°} & GLC2000 & BIOMASAR algorithm (ASAR, & \\  & & & field inventory data) & & \\ \hline \multirow{2}{*}{Pan-European} & \multirow{2}{*}{2000–2010} & \multirow{2}{*}{1 km} & Land Cover UMD & \multirow{2}{*}{Model Tree Ensemble method (GPP, FLUXNET observations)} & \multirow{2}{*}{\(\text{R}^{2}=0.92\) at regional level} & \multirow{2}{*}{[PERSON] et al. [107]} \\  & & & MOD12Q1 & & \\ \hline \multirow{2}{*}{Europe} & \multirow{2}{*}{2010} & \multirow{2}{*}{1 km} & CORINE Land Cover & IPCC Tier 1 method (FRA data, & \\  & & & 2006 map & CORINE Land Cover data) & Not validated at the pixel level & [PERSON] et al. [51] \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Summary of regional and global forest AGB maps.