Sentence examples for map calibrated with from inspiring English sources

Fig. 15 Validation at pixel scale: field-estimated AGB plotted against a NFI-calibrated AGB map, b AGB map calibrated with all LiDAR-AGB pixels, c AGB map calibrated with LiDAR-AGB_50LiDAR-AGB_50%

Fig. 16 Validation at hexagon scale: field-estimated forest area weighted AGB plotted against a NFI-calibrated AGB map, b AGB map calibrated with all LiDAR-AGB pixels, c AGB map calibrated with LiDAR-AGB_50LiDAR-AGB_50%

Consequently, the national forest AGB map calibrated with LiDAR-AGB_50LiDAR-AGB_50%lar uncertainties (20 40%) as the forest AGB map calibrated with NFI data only.

For this reason, the forest AGB map calibrated with LiDAR-AGB_50LiDAR-AGB_50%igher AGB values than the map calibrated with all LiDAR-AGB pixels (Figs. 10, 12, 14).

As mentioned previously, the forest AGB map calibrated with all LiDAR-AGB pixels showed lower AGB values as the map calibrated with LiDAR-AGB_50%. Figure 14a and b showed that the histogram of the map calibrated with LiDAR-AGB_50% was shifted towards higher AGB values.

The smallest deviation from the 1 1 line (and the smallest RMSE) was found for the AGB map calibrated with LiDAR-AGB_50LiDAR-AGB_50%

The results show that geological maps and gamma radiation mapping, calibrated with a few analyses of Cd concentrations in soils and crops, can be used for risk classification of soils at the regional scale in this type of landscape.

The opposite shift towards lower uncertainties was observed in the national forest AGB map that was calibrated with LiDAR-AGB_50LiDAR-AGB_50%d).

The maps of suitability for deforestation are calibrated with maps of real change between 1971 and 1985 by using logistic regression, multi-criteria analysis and spatial filters.

The significant improvement over the existing soil map is remarkable because the regression model was calibrated with the existing soil map and uses no additional soil observations.

But for a given reporting region or sub-region such as REDD+ project areas, carbon maps based on Landsat 8 calibrated with field observations can be used to estimate carbon density and total carbon stock within the boundary, so as to maximize potential financial benefits from payments or credits for carbon.