Micrometeorological towers are installed in several regions in order to collect atmospheric data at high frequency for the estimation of micrometeorological parameters and surface flows of energy and mass. The determination of the field of view of the towers and, therefore, of the flow measured in the sensors is defined by the footprint, which is directly influenced by the geometry of the terrain where the sensor is installed and by the vegetation of the site. In this way, the present work aims to analyze the predominant contribution area in the surface flows through two different methods of footprint determination that consist of: an analytical model and another lagrangian stochastic. The data analyzed were from the micrometeorological station of Pedras Altas, located in the southwest region of Rio Grande do Sul.
