Publicacions en col·laboració amb investigadors/es de University of Oxford (30)

2024

  1. A Comprehensive Benchmark for Optical Remote Sensing Image Super-Resolution

    IEEE Geoscience and Remote Sensing Letters

  2. CH4Net: a deep learning model for monitoring methane super-emitters with Sentinel-2 imagery

    Atmospheric Measurement Techniques, Vol. 17, Núm. 9, pp. 2583-2593

  3. Intercomparison of global foliar trait maps reveals fundamental differences and limitations of upscaling approaches

    Remote Sensing of Environment, Vol. 311

  4. Onboard Cloud Detection and Atmospheric Correction with Efficient Deep Learning Models

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 17, pp. 19518-19529

  5. SEN2NAIP: A large-scale dataset for Sentinel-2 Image Super-Resolution

    Science Data Bank

2023

  1. Deep Learning for Downscaling Tropical Cyclone Rainfall to Hazard-Relevant Spatial Scales

    Journal of Geophysical Research: Atmospheres, Vol. 128, Núm. 10

  2. Fast Model Inference and Training On-Board of Satellites

    International Geoscience and Remote Sensing Symposium (IGARSS)

  3. Multi-spectral multi-image super-resolution of Sentinel-2 with radiometric consistency losses and its effect on building delineation

    ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 195, pp. 1-13

  4. Onboard Cloud Detection and Atmospheric Correction with Deep Learning Emulators

    International Geoscience and Remote Sensing Symposium (IGARSS)

  5. Semantic segmentation of methane plumes with hyperspectral machine learning models

    Scientific Reports, Vol. 13, Núm. 1

2022

  1. ClimateBench v1.0: A Benchmark for Data-Driven Climate Projections

    Journal of Advances in Modeling Earth Systems, Vol. 14, Núm. 10

  2. Kernel dependence regularizers and Gaussian processes with applications to algorithmic fairness

    Pattern Recognition, Vol. 132

  3. Physics-aware nonparametric regression models for Earth data analysis

    Environmental Research Letters, Vol. 17, Núm. 5

  4. RaVÆn: unsupervised change detection of extreme events using ML on-board satellites

    Scientific reports, Vol. 12, Núm. 1, pp. 16939

2021

  1. Sensitivity of the Cherenkov Telescope Array to a dark matter signal from the Galactic centre

    Journal of Cosmology and Astroparticle Physics, Vol. 2021, Núm. 1

  2. Towards global flood mapping onboard low cost satellites with machine learning

    Scientific Reports, Vol. 11, Núm. 1

2020

  1. TRY plant trait database – enhanced coverage and open access

    Global Change Biology, Vol. 26, Núm. 1, pp. 119-188

2019

  1. A perspective on Gaussian processes for Earth observation

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

2018

  1. Spatio-temporal patterns of thermal anomalies and drought over tropical forests driven by recent extreme climatic anomalies

    Philosophical Transactions of the Royal Society B: Biological Sciences, Vol. 373, Núm. 1760

2017

  1. Background rejection in NEXT using deep neural networks

    Journal of Instrumentation, Vol. 12, Núm. 1