Sentence examples for mapping of aboveground from inspiring English sources

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

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.

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.

Lidar-based estimates of forest biomass could greatly improve mapping of aboveground carbon stocks and monitoring carbon emissions over large areas for tropical forests.

Accurate mapping of aboveground forest carbon stocks (AFCS) using spaceborne satellite data is still very challenging due to the requirement of a large amount of in situ data for forest carbon estimation model calibration and validation.

Accurate, high-resolution mapping of aboveground carbon density (ACD, Mg C ha-1) could provide insight into human and environmental controls over ecosystem state and functioning, and could support conservation and climate policy development.

Decision-tree and stratification approaches yielded similar national-scale maps of aboveground carbon densities (Figure 3).

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).

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.