Evaluating plant photosynthetic traits via absorption coefficient in the photosynthetically active radiation region

Absorption of radiation in the photosynthetically active (PAR) region is significantly influenced by plant biochemistry, structural properties, and photosynthetic pathway. To understand quantify effects these traits on absorbed PAR it necessary to develop practical reliable tools that are sensitive traits. Using a semi-analytical modeling framework for deriving absorption coefficient canopies from reflectance spectra, we functional, biochemical vegetation relationship between (?par) with canopy characteristics such as fraction (fAPARgreen) chlorophyll (Chl) content. The dataset used study included simulated data obtained model (PROSAIL) empirical three diverse crop species different leaf structures, architectures pathways (rice, maize soybean) acquired at proximal (i.e., using field spectroradiometers) remote Landsat TM ETM+) distances. Results show usefulness ?par derived assessing not only status vegetation, but also performance. Furthermore, assessments can be made satellite sensor systems series, which available since 1980s, thus facilitating analysis terrestrial ecosystems throughout world high temporal depth.