The usage of small-sized unmanned aerial systems (UAS) has increased in the last years, in many different areas, being agriculture and forestry those who benefit the most from this relatively new remote sensing platform. Leaf area index, canopy and plant volume are among the parameters that can be determined using the very high resolution aerial data obtained by sensors coupled in unmanned aerial vehicles (UAV). This remote sensing technology affords the possibility of monitoring the vegetative development, identifying different types of issues, enabling the application of the most appropriated treatments in the affected areas. In this paper, a methodology allowing to perform multi-temporal UAS-based data analysis obtained by different sensors is proposed. A case study in vineyards and chestnuts is used to prove the benefits of continuous crop monitoring in its management and productivity of agroforestry parcels/activities.
Pádua, L., Adão, T., Hruška, J., Sousa, J. J., Peres, E., Morais, R., & Sousa, A. (2017). Very high resolution aerial data to support multi-temporal precision agriculture information management. In Procedia Computer Science (Vol. 121, pp. 407–414). Elsevier B.V. https://doi.org/10.1016/j.procs.2017.11.055