Juan Pedro is a Spanish geomatics engineer, born in Córdoba and raised in Valencia. He earned his PhD in Geomatics Engineering from the Universitat Politècnica de València (UPV), where he focused on developing remote sensing methodologies for fine-scale forest structure characterization and the estimation of fire-related variables using UAV-based digital aerial photogrammetry (UAV-DAP). His research integrated photogrammetric point cloud segmentation and classification using machine learning and deep learning techniques to identify species composition and derive key variables such as aboveground biomass.
Currently, Juan Pedro contributes to national-scale mapping of forest fuel attributes across Canada. His work integrates LiDAR data, radiative transfer simulations, and optical satellite imagery to develop scalable workflows that link LiDAR-derived structure with Landsat time series, enabling the extrapolation of vegetation and fuel characteristics across diverse forest ecosystems.
