Publicaciones en colaboración con investigadores/as de Max Planck Institute for Biogeochemistry (19)

2024

  1. AI-empowered next-generation multiscale climate modelling for mitigation and adaptation

    Nature Geoscience, Vol. 17, Núm. 10, pp. 963-971

  2. Causal hybrid modeling with double machine learning—applications in carbon flux modeling

    Machine Learning: Science and Technology, Vol. 5, Núm. 3

2023

  1. Improving air quality assessment using physics-inspired deep graph learning

    npj Climate and Atmospheric Science, Vol. 6, Núm. 1

2022

  1. Wildfire Danger Prediction and Understanding With Deep Learning

    Geophysical Research Letters, Vol. 49, Núm. 17

2021

  1. A unified vegetation index for quantifying the terrestrial biosphere

    Science Advances, Vol. 7, Núm. 9

  2. Deep learning for the earth sciences: A comprehensive approach to remote sensing, climate science and geosciences

    wiley, pp. 1-405

  3. Introduction

    Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences

  4. Outlook

    Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences (wiley), pp. 328-330

2020

  1. ADVANCING DEEP LEARNING for EARTH SCIENCES: From HYBRID MODELING to INTERPRETABILITY

    International Geoscience and Remote Sensing Symposium (IGARSS)

  2. Earth system data cubes unravel global multivariate dynamics

    Earth System Dynamics, Vol. 11, Núm. 1, pp. 201-234

  3. Partitioning net carbon dioxide fluxes into photosynthesis and respiration using neural networks

    Global Change Biology, Vol. 26, Núm. 9, pp. 5235-5253

  4. The Low Dimensionality of Development

    Social Indicators Research, Vol. 150, Núm. 3, pp. 999-1020

2019

  1. A perspective on Gaussian processes for Earth observation

    National Science Review, Vol. 6, Núm. 4, pp. 616-618

  2. Inferring causation from time series in Earth system sciences

    Nature Communications, Vol. 10, Núm. 1

  3. Satellite Observations of the Contrasting Response of Trees and Grasses to Variations in Water Availability

    Geophysical Research Letters, Vol. 46, Núm. 3, pp. 1429-1440

  4. The FLUXCOM ensemble of global land-atmosphere energy fluxes

    Scientific Data

2018

  1. Global estimation of biophysical variables from Google Earth Engine platform

    Remote Sensing, Vol. 10, Núm. 8

2016

  1. Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms

    Biogeosciences, Vol. 13, Núm. 14, pp. 4291-4313

2015

  1. Ranking drivers of global carbon and energy fluxes over land

    International Geoscience and Remote Sensing Symposium (IGARSS)