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With the understanding of differences, one can use ensemble approach to have an accurate map of aboveground biomass map.
For this reason a global carbon map of aboveground carbon in forest biomass, was created, based on country values from [2].
Fig. 5 Map of aboveground carbon density of natural forests in the Wellington Region of New Zealand and in the Tararua Range (red box).
A published map of aboveground tree biomass as predicted from field plots and a 2009 LiDAR collection (Figure 1) was used to define the same initial conditions used in all projections.
Fig. 1 a Map of aboveground live woody biomass carbon density (Mg C ha−1) and b uncertainty across forest lands of the conterminous US at 1-ha resolution for circa the year 2005.
For this reason a global carbon map of aboveground carbon in forest biomass, was created, based on country values from [ 2].
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Detailed and accurate mapping of aboveground biomass (AGB) on floodplain landscapes characterized by uneven-aged forests is critical for improving estimates of floodplain-forest carbon pools, which is useful for greenhouse gas (GHG) life cycle assessment.
Figure 3 National-scale mapping of aboveground carbon density (ACD) using two techniques.
Decision-tree and stratification approaches yielded similar national-scale maps of aboveground carbon densities (Figure 3).
Figure 1 A comparison of two remote sensing based maps of aboveground biomass (AGB) across the tropics: a) AGB for RS1[15]; b) AGB for RS2[16]; c) absolute difference, RS2 - RS1 ; d) the percent difference between RS2 and RS1.
Likewise, development of precise forest monitoring systems is essential for the effective implementation of climate change mitigation policies such as REDD + (reducing emissions from deforestation and degradation), which require accurate mapping of aboveground biomass (AGB) and its changes.
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