111 citations · 370 across the 7 of their papers we have counts for
7 papers
A global Canopy Water Content product from AVHRR/Metop
Francisco Javier García-Haro, Manuel Campos-Taberner, Álvaro Moreno +8
Spatially and temporally explicit canopy water content (CWC) data are important for monitoring vegetation status, and constitute essential information for studying ecosystem-climat…
Gap Filling of Biophysical Parameter Time Series with Multi-Output Gaussian Processes
Anna Mateo-Sanchis, Jordi Munoz-Mari, Manuel Campos-Taberner +2
In this work we evaluate multi-output (MO) Gaussian Process (GP) models based on the linear model of coregionalization (LMC) for estimation of biophysical parameter variables under…
Physics-Aware Gaussian Processes in Remote Sensing
Gustau Camps-Valls, Luca Martino, Daniel H. Svendsen +5
Earth observation from satellite sensory data poses challenging problems, where machine learning is currently a key player. In recent years, Gaussian Process (GP) regression has ex…
Generation of global vegetation products from EUMETSAT AVHRR/METOP satellites
Francisco Javier García-Haro, Manuel Campos-Taberner, Beatriz Martínez +8
We describe the methodology applied for the retrieval of global LAI, FAPAR and FVC from Advanced Very High Resolution Radiometer (AVHRR) onboard the Meteorological-Operational (Met…
Derivation of global vegetation biophysical parameters from EUMETSAT Polar System
Francisco Javier García-Haro, Manuel Campos-Taberner, Jordi Muñoz-Marí +4
This paper presents the algorithm developed in LSA-SAF (Satellite Application Facility for Land Surface Analysis) for the derivation of global vegetation parameters from the AVHRR…
Mapping Leaf Area Index with a Smartphone and Gaussian Processes
Manuel Campos-Taberner, Franciso Javier García-Haro, Álvaro Moreno +4
Leaf area index (LAI) is a key biophysical parameter used to determine foliage cover and crop growth in environmental studies. Smartphones are nowadays ubiquitous sensor devices wi…
Joint Gaussian Processes for Biophysical Parameter Retrieval
Daniel Heestermans Svendsen, Luca Martino, Manuel Campos-Taberner +2
Solving inverse problems is central to geosciences and remote sensing. Radiative transfer models (RTMs) represent mathematically the physical laws which govern the phenomena in rem…