WP2 : ​Analysis in controlled condition 

Overview
The thematic objectives are to establish links between optical/radar data and physiological variables. The methodological objectives are to develop artificial intelligence methods able to deal with heterogeneous data and to ensure a physical consistency in the estimation. The methods will be calibrated by extracting information on pixels associated with trees on images issued from simulations  and measurements under a controlled environment. 

WP PIs : Thomas Corpetti

Progress : 
Internship of Alice Gallot ​: "Characterization of Oak and Plane Trees' Response to Water and Thermal Stress, and Design of Machine Learning Models"

To be continued in 2025 with Maxence Vandewynckele's PhD