Estudo da fenologia da floresta tropical e atividade no crescimento individual das plantas através do sistema de imageamento terrestre

Abstract

Tropical forests are important carbon stocks, the seasonal pattern of interannual and leaf development and metabolism significantly affect global climate dynamics, carbon and water. However, the seasonality of leaf development in tropical forests is poorly understood even due to low relative change of climate, extremely greater biodiversity of tropical biomes and most importantly, the limitations of current observation techniques. In this work, we intend to demonstrate, data usage viability obitidos near the surface using micrometeriologicas tower for monitoring dorsel vegetation, using cameras RGB (Pheno-Cam) near the surface, and using remote sensing techniques for interpreting the data to understand the pattern of phenology in a tropical evergreen forest, and how it affects the phenology, and the metabolic processes of tropical vegetation. For the preparation from work, it was used data from the KM67 site which is in the rainforest, Flona Tapajós (Santarém-To, Brazil). Where there is a tower of 65 meters, instrumented for eddy covariance measurements between the forest and the atmosphere, CO2, H2O and mass exchange and energy between them, in 2013 was incorporated to it two cameras RGB for study of phenology, and the data obtained by them and to be used for the preparation of this work are images recorded in 5 minute intervals, the selected images will be closely noon for having homogeneous diffuse illumination to thereby minimize the effect of the solar angle . It will also be used data from ground-based bi-weekly biometrics survey (band dendrometry technical route) for 23 random sampling trees since September 2013, where 23 trees are within the tower vision scope and under the camera's field of view.