247 citations · 536 across the 14 of their papers we have counts for
15 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…
Synergistic Integration of Optical and Microwave Satellite Data for Crop Yield Estimation
Anna Mateo-Sanchis, Maria Piles, Jordi Muñoz-Marí +3
Developing accurate models of crop stress, phenology and productivity is of paramount importance, given the increasing need of food. Earth observation remote sensing data provides…
Nonlinear Complex PCA for spatio-temporal analysis of global soil moisture
Diego Bueso, Maria Piles, Gustau Camps-Valls
Soil moisture (SM) is a key state variable of the hydrological cycle, needed to monitor the effects of a changing climate on natural resources. Soil moisture is highly variable in…
Nonlinear Distribution Regression for Remote Sensing Applications
Jose E. Adsuara, Adrián Pérez-Suay, Jordi Muñoz-Marí +3
In many remote sensing applications one wants to estimate variables or parameters of interest from observations. When the target variable is available at a resolution that matches…
Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources
S. Salcedo-Sanz, P. Ghamisi, M. Piles +7
This paper reviews the most important information fusion data-driven algorithms based on Machine Learning (ML) techniques for problems in Earth observation. Nowadays we observe and…
Understanding Climate Impacts on Vegetation with Gaussian Processes in Granger Causality
Miguel Morata-Dolz, Diego Bueso, Maria Piles +1
Global warming is leading to unprecedented changes in our planet, with great societal, economical and environmental implications, especially with the growing demand of biofuels and…