Quantifying the Robustness of Vegetation Indices through Global Sensitivity Analysis of Homogeneous and Forest Leaf-Canopy Radiative Transfer Models. - Pablo Morcillo Pallarés; Juan Pablo Rivera Caicedo; Santiago Belda; Charlotte De Grave; Helena Burriel; José Moreno 001; Jochem Verrelst (Remote. Sens., 2019)

DATimeS: A machine learning time series GUI toolbox for gap-filling and vegetation phenology trends detection. - Santiago Belda; Luca Pipia; Pablo Morcillo Pallarés; Juan Pablo Rivera Caicedo; Eatidal Amin; Charlotte De Grave; Jochem Verrelst (Environ. Model. Softw., 2020)

Mapping Essential Vegetation Variables Over Europe Using Gaussian Process Regression and Sentinel-3 Data in Google Earth Engine. - Pablo Reyes-Muñoz; Luca Pipia; Matías Salinero-Delgado; Charlotte De Grave; José Estévez; Santiago Belda; Jochem Verrelst (IGARSS, 2021)

Prototyping Vegetation Traits Models in the Context of the Hyperspectral Chime Mission Preparation. - Jochem Verrelst; Charlotte De Grave; Eatidal Amin; Pablo Reyes; Miguel Morata; Enrique Portales; Santiago Belda; Giulia Tagliabue; Cinzia Panigada; Mirco Boschetti; Gabriele Candiani; Karl Segl; et al. (IGARSS, 2021)

Retrieving and Validating Leaf and Canopy Chlorophyll Content at Moderate Resolution: A Multiscale Analysis with the Sentinel-3 OLCI Sensor. - Charlotte De Grave; Luca Pipia; Bastian Siegmann; Pablo Morcillo Pallarés; Juan Pablo Rivera Caicedo; José Moreno 001; Jochem Verrelst (Remote. Sens., 2021)