Fluorescence sensing techniques for vegetation assessment

摘要: Active fluorescence (F) sensing systems have long been suggested as a means to identify species composition and determine physiological status of plants. Passive F for large-scale remote assessment vegetation will undoubtedly rely on solar-induced (SIF), this information could potentially be obtained from the Fraunhofer line depth (FLD) principle. However, understanding relationships between knowledge gained active passive remains addressed. Here we present an approach in which actively induced spectral data are used simulate project magnitude SIF that can expected near-ground observations within selected solar regions. Comparisons among vegetative nitrogen (N) supply treatments were made with three approaches: FLD principle applied telluric oxygen (O2) bands field-acquired canopy reflectance spectra, simulated laboratory emission spectra leaves at series lines ranging 422 758 nm, examination two dual-F excitation algorithms developed data. From these analyses infer whole-plant canopies by use individual has application vegetation.