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.

Plant phenotyping relevance

高空間分解能ハイパースペクトル画像を用いて草地プロットの植物機能多様性を推定し、画像処理条件とシミュレーションによる推定手法の評価を行っているため、植物形質取得・推定が中心です。

Code and data availability

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