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
