“Resilience from space: A remote sensing approach for Chilean vegetation”

This projects investigates how optical time series and vertical structure information can be used to assess forest ecosystem resilience at landscape level, with pixel-level precision. This research will provide a basis for integrating land surface phenology, spectral metrics, and structural information from spaceborne LiDAR to evaluate recovery capacity of sclerophyllous and deciduous forest in south-Central Chile. This research focuses on the potential of remote sensing for monitoring forest resilience dynamics , aiming at optimizing decision-making of environmental managers and policymakers for sustainable conservation and restoration of threatened Mediterranean ecosystems.