This doctoral thesis falls within the field of agroecology and agromining, with the aim of developing crop modeling tools dedicated to nickel production from hyperaccumulator plants. The work aims to exploit remote sensing data to better characterize crop dynamics, physiological status, and productivity in various soil and climate contexts.

The research focuses in particular on the integration of biophysical indicators derived from remote sensing into crop growth models applied to nickel agromining. These approaches make it possible to improve the spatial and temporal monitoring of plots, optimize cultivation practices, and assess the potential for biomass and nickel production at different scales.

The work carried out in collaboration with the LSE and Botanickel contributes to the development of innovative solutions for the sustainable exploitation of metal-bearing soils, combining plant sciences, remote sensing, and agronomic modeling.