An Automation Tool to Derive SAC of Biochemical Parameters By Segmentation Of Species Spectra

Abstract

The leaf structure and pigments, water content, biophysical, and biochemical parameters influence the spectrum of a tree species. One of the main uses of the biochemical parameters is to find the health condition of the tree species. Generally, such studies are done at varied spatiotemporal scales with different samples for the same species. This way, the stressed and healthy tree species can be differentiated. Currently, there are few countable studies related to the biochemical parameters and health condition of the trees as it is practically difficult to conduct field survey at every season and also feasibility for the bio- chemical analysis is highly expensive. In this paper, a model is developed based on leaves spectrum that includes a broad spectrum of domestic cellular patterns and biochemical combinations. A tool is developed to analyze the reflectance of the spectrum with respect to the biochemical parameter by determining the Specific Absorption Coefficients (SAC). The study promises to group the leaf spectrum (5-10 samples) and estimate the leaf biochemistry with reasonable accuracy. Also, the study concentrates on tool development where specific absorption and the coefficient of the biochemical parameters can be retrieved. The derived SAC are validated from the measured and the estimated leaf biochemical properties.