Creación de una librería de datos espectrales y fotosintéticos de algunas especies vegetales representativas en el arbolado urbano de Bogotá

Abstract

Recent research has shown the potential to generate estimates through remote sensing of some physical and biochemical properties in plants (López Caloca, Mora , & Escalante Ramírez, 2006). However, explorations that are intended to describe the vegetation through remote sensing, are still at an early stage, with countless possibilities for making. In this paper the feasibility of using spectroradiometry is evaluated using vegetation indices to explain the photosynthetic response five tree species suitable for urban trees in Bogotá through a multiple linear regression, using depending parameters from the light curves compensation (A / PFD) created with the Michaelis Menten model. This way you can learn through spectral signatures collected in the field, the maximum photosynthesis (Amax), saturation constant (K), respiration (Rd) and luminance compensation point (Pcl), obtained from hyperbolic equation model. Having all this organized and easily accessible to the scientific community information, may be more robust to subsequent investigations, as it has a solid and reliable database that can be fed with information on more plant species. This is the primary goal of the library, which contains spectral data and photosynthetic variables of the five species treated herein.