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…