Shrub willow canopy chlorophyll content estimation from unmanned aerial systems (UAS) data: Estimation and uncertainty analysis across time, space, and scales

International Journal of Applied Earth Observation and Geoinformation(2022)

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Abstract
•We predicted shrub willow CCC across time, space, and scales from UAS data.•Nested ANOVA method was able to evaluate spatial heterogeneity within pixels.•Models were based on NDVIre-based frequentist and Bayesian regression.•We compared and quantified model uncertainty using CI, CrI, and predictive RMSE.•A new perspective on model uncertainty is able to guide experimental design.
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Key words
Frequentist regression,Bayesian regression,Spatial scale effect,Confidence interval,Credible interval
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