ESR01 Frederico Tupinambá Simões (July 2022)

ESR01 – Integrating LIDAR information into operational mixed forests growth and yield models📢 Early Stage Researcher: Frederico Simôes (email: frederico.tupinamba@uva.es)

📌 Recruiting Institution: UNIVERSIDAD DE VALLADOLID, Valladolid, Spain

📌 Enrolling PhD school: Escuela de Doctorado de la Universidad de Valladolid-ESDUVA, Valladolid, Spain

👉 Abstract: Forest inventory is moving from ground sampling to remote sensing measurements. Growth and yield models need to be improved through higher resolution of forest information especially in mixed species stands as well as natural stands. Implementation of standardized protocol on the use of the new technologies are needed. ESR will use Unmanned Aerial Vehicle (UAV) and terrestrial mobile application of LiDAR (Light Detection and Ranging) and photogrammetric techniques such as Structure for Motion (SfM) for estimating 3-D structures from 2-D dimensional image sequences. The tests are applied on experimental plots on monospecific and mixed species stands. Outcomes expected included information about LiDAR and SfM implementation in growth, yield and above-ground carbon models and related Decision Support Systems for optimizing carbon balance. Standardized protocols on field measurements will be developed. The position will have a strong link with regards to content to ESR02, ESR09 and ESR12.

📌 Supervisor: Felipe Bravo (UVA)