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A New Dataset of Leaf Optical Traits to Include Biophysical Parameters in Addition to Spectral and Biochemical Assessment
(2022) Peters, Reisha; Noble, Scott
To enable future improvement on current leaf optical property models, more data incorporating a larger range of measured properties is needed. To this end, a dataset was collected to associate spectral measurements (ultraviolet, visible, and near infrared) with biochemical and biophysical properties of leaves. The leaves represented in this dataset were selected to provide representation of agricultural species and of leaves with a wide variety of color (pigment) expression, surface characteristics, and age. Data collected for 290 leaf samples studied in this project included multiple spectral measurement geometries and ranges, biochemical assessment of chlorophyll a and b, carotenoids, and anthocyanins, and biophysical assessment of leaf thickness and surface characteristics that has not previously been a focus in other leaf datasets. The methods and results associated with this dataset are described in this work.