PERIA PRADERAS MARINAS: EVALUACIÓN DE RIESGO CON DRONES E IA
Recent advances in geospatial remote sensing and artificial intelligence techniques allow for the automatic detection and monitoring of at-risk seagrass ecosystems in a cost-effective and large-scale manner. Currently, the automatic identification of at-risk seagrass meadows is limited by the low resolution of satellite images and the lack of drone image coverage. The main objective of the project is to map the spatial organisation of seagrass meadows along the coast of Mallorca using unmanned aerial vehicles (UAVs or drones). By means of massive image analysis and the application of pre-existing mathematical models, which serve as a basis for the training of artificial intelligence (AI) algorithms, advanced coastal monitoring methods will be developed to detect at-risk seagrass meadows.
Investigadors
Daniel Ruiz-Reynés