She graduated in Physics in 2022 and obtained a Master's degree in Remote Sensing in 2023. She is currently a predoctoral researcher (CIACIF) in the PhD programme in Remote Sensing at the Department of Earth Physics and Thermodynamics, Faculty of Physics. Her research focuses on the evolution of Land Surface Temperature in the Iberian Peninsula using satellite data in the context of climate change.

Graduate in Physics during the 2017-2021 promotion and in the Master on Remote Sensing during the 2021-2022, I am currently PhD Student on Remote Sensing with a FPU grant. My thesis deals with diverse applications for satellite precipitation data and I already possess two years of teaching experience. In addition, I am usual collaborator of the Erasmus Summer School in Physics (E3F).

J. Verrelst} received the M.Sc. degree in tropical land use and in geo-information science both in 2005, and the PhD in remote sensing in 2010 from Wageningen University, Wageningen, Netherlands. His dissertation focused on the space-borne spectrodirectional estimation of forest properties. Since 2010, he has been involved in preparatory activities of FLEX. His research interests include the retrieval of vegetation properties using airborne and satellite data, canopy radiative transfer modelling and emulation, and the analysis of hyperspectral data. He is the founder of the ARTMO software package. In 2017, he received an ERC Starting Grant (\href{https://ipl.uv.es/sentiflex/}{SENTIFLEX}, \#755617), and in 2022, he received an ERC Consolidator Grant (\href{https://leoipl.uv.es/flexinel/}{FLEXINEL},\#101086622), both to work on the development of vegetation products based on the synergy of FLEX and Sentinel-3 data. He is also involved in the CHIME L2 processing.