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The model variance component characterizes the variability of the regression coefficients used to predict ALS-based estimates of biomass as a function of GLAS measurements.
The method, BIOmass from Cluster Labeling Using Structure and Type (BioCLUST), involves: (i) hyperclustering a Landsat TM image, (ii) automatically labeling the clusters with information about forest type and structure, and (iii) applying stand-level equations that estimate biomass as a function of height and crown closure within forest species-type classes.
Fig. 3 Percentage dry bark biomass as a function of sectional overbark diameter.
The removal of azo dyes by the biomass as a function of contact time is shown in Fig. 3.
The same model was used to express biomass as a function of the P concentration in the youngest fully developed leaf at day 25 in the UCPH experiment.
Figure 4 presents the TS, VS, and the C/N ratio of the Elodea biomass as a function of water temperature.
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In this source, regression coefficients are given for calculating root biomass (bgb) as a function of above ground biomass (agb), where tree species are distinguished by several dummy variables.
Figure 5: Cumulative mitigation potential (100 years) of biochar and biomass combustion as a function of carbon intensity of the type of energy being offset.
The second is a series of global maps of net climate forcing from biomass deployment, as a function of biofuels production technologies, efficiencies, and time horizon.
Our definition of habitability is based on the long-term possibility of photosynthetic biomass production as a function of mean planetary surface temperature and atmospheric CO2-content.
This approach ignores the additional variability associated with the predictive models used to estimate ground biomass density as a function of airborne lidar measurements.
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