Chlorophyll concentrations reflect genetic, ontogenetic, phenological, and productive features of plants. For nondestructive, rapid, and large-scale determination of photosynthetic pigments, plant spectroscopy with multi- and hyperspectral sensors using vegetation indices (VIs) as proxy metrics holds great promise. One of the important problems in the spectroscopy of photosynthetic pigments is the lack of universal VIs for different plant species. One way to solve this problem is to test already developed VIs on as many plant species as possible. The study species were Acer campestre L. A. negundo L. and A. saccharinum L. Time series analysis for three growing seasons (2021–2023) showed that out of 80 VIs, more than 30 have well-defined seasonal dynamics coinciding with the seasonal dynamics of chlorophyll concentrations (Spearman correlation coefficient > 0.8). It was found that most VIs are collinear. The seasonal dynamics of chlorophyll sum concentrations were well described and predicted by one-factor linear regression models and one- and two-factor Random Forest Regression models. The seasonal dynamics of chlorophyll content and VIs values were found to be species-specific.
Dmitriev et al. (Sun,) studied this question.