Monitoring habitat conservation status and assessing biodiversity: The Dehesa case
This paper proposes an operational, reproducible framework that integrates probabilistic field sampling with Earth observation data (Sentinel-2 and LiDAR) to monitor and assess the conservation status and biodiversity of heterogeneous agroforestry systems like the Mediterranean Dehesa, offering statistically rigorous indicators for carbon, flora, and fauna while ensuring transferability to other landscapes.