activity
20202026
most citedNonlinear PCA for Spatio-Temporal Analysis of Earth Observation Data

35 citations · 58 across the 6 of their papers we have counts for

collaborators

6 papers

astro-ph.HE2026

GeV emission in the region of Vela: a new view of the supernova remnant

Miguel Araya, Santiago Ramírez, Diego Bueso +1

The Vela supernova remnant (SNR), G263.9-3.3, and its pulsar wind nebula (PWN), Vela X, is one of the closest such systems, and it has been studied using observations across the el…

cs.LG2022

Let's consider more general nonlinear approaches to study teleconnections of climate variables

D. Bueso, M. Piles, G. Camps-Valls

The recent work by (Rieger et al 2021) is concerned with the problem of extracting features from spatio-temporal geophysical signals. The authors introduce the complex rotated MCA…

physics.ao-ph2020★ 8 cited

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…

physics.ao-ph2020★ 1 cited

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…

nlin.CD2020★ 14 cited

Explicit Granger causality in kernel Hilbert spaces

Diego Bueso, Maria Piles, Gustau Camps-Valls

Granger causality (GC) is undoubtedly the most widely used method to infer cause-effect relations from observational time series. Several nonlinear alternatives to GC have been pro…

physics.ao-ph2020★ 35 cited

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…