Multi-source data combination for plant functional diversity estimation: an ecological and remote sensing integrative approach

Abstract

In this work, we estimate plant functional diversity of grass plots using high spatial resolution hyperspectral imagery. Results yielded negative correlations, independently of the image filters applied to remove non-vegetative elements and the selection of functional traits. Simulations performed with the Biodiversity Observing System Simulation Experiment (BOSSE) suggest that these results arise from the combination of different methodologies to estimate functional diversity: moving windows for the imagery and species’ averages for the plant functional traits measured in the field. We show that simulations are a valuable tool to understand experimental results in the field of remote sensing of plant functional diversity.

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