247 citations · 609 across the 16 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
Estimation of vegetation loss coefficients and canopy penetration depths from SMAP radiometer and IceSAT lidar data
M. Baur, T. Jagdhuber, M. Link +3
In this study the framework of the - model is used to derive vegetation loss coefficients and canopy penetration depths from SMAP multi-temporal retrievals of vegetation opti…
Nonlinear PCA for Spatio-Temporal Analysis of Earth Observation Data
Diego Bueso, Maria Piles, Gustau Camps-Valls
Remote sensing observations, products and simulations are fundamental sources of information to monitor our planet and its climate variability. Uncovering the main modes of spatial…