47 citations · 77 across the 3 of their papers we have counts for
3 papers
Bayesian Hierarchical Modeling for Predicting Spatially Correlated Curves in Irregular Domains: A Case Study on PM10 Pollution
Alvaro Alexander Burbano Moreno, Ronaldo Dias
This study presents a Bayesian hierarchical model for analyzing spatially correlated functional data and handling irregularly spaced observations. The model uses Bernstein polynomi…
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…
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…