Retrieving Photosynthetic Capacity Parameter from Leaf Photochemical Reflectance and Chlorophyll Fluorescence

Two dynamic vegetation optical indicators, namely chlorophyll fluorescence (ChIF) and photochemical reflectance index (PRI), have been proven valuable as estimators of terrestrial photosynthesis. Linking optical properties of vegetation to the underlying biochemical processes is a difficult task, however, key for the remote sensing of vegetation. We present a new method of retrieving leaf maximum carboxylation rate $(V_{\mathrm{c}\max})$: we combine the leaf radiative transfer model Fluspect to a biochemical routine, and use both $ChlF$ and green reflectance spectra simultaneously as an input. We test the method against various datasets, and discuss its applications, requirements and problems.