P. Reyes-Muñoz

Mapping Canopy-Level Crop Traits Using Top-of-Atmosphere Sentinel-2 Data in Google Earth Engine

M. Boschetti, J. Verrelst, L. Pipia, 2022, GIS Ostrava 2022 Earth Observation for Smart City and Smart Region.

Paving the Road to Flex and Biomass: The Land Surface Carbon Constellation Study

Y. Kerr, W. Dorigo, M. Voßbeck, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

Mapping landscape canopy nitrogen content from space using PRISMA data

C. Panigada, J. Verrelst, J. P. Rivera-Caicedo, 2021, ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing.

Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine

J. Verrelst, L. Pipia, Santiago Belda, 2022, Remote. Sens..

Synergy of Sentinel-1 and Sentinel-2 Time Series for Cloud-Free Vegetation Water Content Mapping with Multi-Output Gaussian Processes

J. Delegido, J. Verrelst, A. Pezzola, 2023, Remote. Sens..

Gaussian processes retrieval of crop traits in Google Earth Engine based on Sentinel-2 top-of-atmosphere data

M. Boschetti, J. Verrelst, L. Pipia, 2022, Remote sensing of environment.

Untangling the Causal Links between Satellite Vegetation Products and Environmental Drivers on a Global Scale by the Granger Causality Method

J. Verrelst, E. Amin, P. Reyes-Muñoz, 2023, Remote. Sens..

Cloud-Free Global Maps of Essential Vegetation Traits Processed from the TOA Sentinel-3 Catalogue in Google Earth Engine

J. Verrelst, K. Berger, Matías Salinero-Delgado, 2023, Remote. Sens..

Inferring global terrestrial carbon fluxes from the synergy of Sentinel 3 & 5P with Gaussian process hybrid models

J. Verrelst, L. Pipia, J. P. Rivera-Caicedo, 2024, Remote Sensing of Environment.