Sentence examples for maps of aboveground from inspiring English sources

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.

Figure 3 Example LiDAR-based maps of aboveground carbon stocks highlighting: (A) effects of deforestation on humid, low-elevation forests in the northern region, and (B) a natural gradient in elevation and plant available water, from dry forests with low canopy height in the lowlands to humid forests in the uplands.

Decision-tree and stratification approaches yielded similar national-scale maps of aboveground carbon densities.

Biomass mapping has progressed enormously over the past decade, to the stage where we can produce globally consistent maps of aboveground biomass.

Figure 3 National-scale mapping of aboveground carbon density (ACD) using two techniques.

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).

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.

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.