carlos.martin@ctfc.cat

Projectes destacats:
< Tornar

Carlos Martín Cortés
PIF (Personal Investigador en Formació)

PROGRAMA / Dinàmica i planificació del paisatge
LÍNIA / Precision Forestry (PrecFOR) Noves eines per a la presa de decisions forestals



PhD candidate in Forest and Natural Environment Management at the University of Lleida, with international co-supervision at the University of Eastern Finland. Forestry Engineer from the University of Valladolid and Master’s degree in Geomatics, Remote Sensing, and Spatial Models Applied to Forest Management from the University of Córdoba.

Currently, he is a predoctoral researcher in training, hired thanks to the Joan Oró grants (FI 2024), at the Forest Science and Technology Centre of Catalonia (CTFC), where he is part of the European project Sintectic. His research focuses on precision forest planning, with a special emphasis on the use of new technologies to optimize decision-making in forest harvesting, including the evaluation of the feasibility of different management methods. Specifically, he works on integrating advanced close-range remote sensing techniques using mobile laser scanners, which enhances forest operations and promotes more sustainable management of natural resources. He is currently collaborating with the Natural Resources Institute Finland (LUKE) on the development of his thesis.

In addition, he collaborates with the University of Córdoba as an instructor in the MOOC course block titled "Digital Forest," where he develops and teaches training on topics related to geomatics and remote sensing applied to forest management.

Links of interest:
https://www.linkedin.com/in/carlosmartincortes
https://www.researchgate.net/profile/Carlos-Martin-Cortes
https://scholar.google.com/citations?user=wJBCBJ0AAAAJ&hl=es
Paraules clau
Cadenes de valorCartografiaModelització / Simulacions Noves tecnologiesPlanificació del medi naturalPlanificació dels sistemes agro-forestalsProductes fusters (fusta, CLT, biomassa forestal)Tecnologies de la informació geogràfica




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