WP4 : ​Tree comfort analysis

Overview
From WP1 and WP2, mapping of tree physiological variables from in situ, simulated and remote sensing data by means of super-resolution, physically-based inversion and transfer learning methods. More precisely, this work-package aims at 1) preparing the optical-radar remote sensing dataset at the tree scale (3m-5m) and 2) target a more accurate estimation of selected tree physiological variables by applying algorithms of WP2.  

WP PI : Cécile Sulmon-Maisonneuve

Progress : 
To be done in 2026