Uso de ortomosaicos obtidos por voos de RPA para estudo de caso de recomposição florestal

Abstract

With the increase in control of the use of natural resources and the development of new technologies and the popularization of the use of RPA (Remotely Piloted Aircraft), making it possible to use images from these devices for more effective control and monitoring of the use of the environment, there is a need to develop appropriate methodologies for each specific objective, aiming at the development of an appropriate standard for environmental monitoring of areas in environmental recovery. The experiment aimed to study which is the best GSD (Ground Sample Distance) to be used with the GLI (Green Leaf Index) vegetation index as a chlorophyll indicator, allowing the classification of the orthomosaic at different levels of vegetation, thus monitoring the forest development in an area with planting of native seedlings. A commercial RPA from the DJI brand, Phantom 4 PRO model, was used and the flights were carried out at different heights, aiming to indicate the best GSD to do this type of monitoring, taking into account the flight time and the necessary area to be covered, these factors being limiting for small RPAs. The competent legislation on flights within the Brazilian airspace was respected, limited to a maximum flight height of 120 meters, the study was conducted in an area already with its due process of forest reconstitution, located in the rural area of the municipality of Mangueirinha/PR. Through this research, the best image quality was obtained, the flight at 30 meters high and the best result in computational time the flights at 120 and 90 meters high, there was no significant difference in quality between the highest heights, thus obtaining better efficiency in the work of monitoring the development of areas in environmental recovery.