Publicaciones en las que colabora con ALVARO MORENO MARTINEZ (24)

2024

  1. Within-season crop monitoring at continental scale utilizing new gap-filled Landsat temporal series

    International Journal of Digital Earth, Vol. 17, Núm. 1

2023

  1. Estimation of vegetation traits with kernel NDVI

    ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 195, pp. 408-417

  2. Inference over radiative transfer models using variational and expectation maximization methods

    Machine Learning, Vol. 112, Núm. 3, pp. 921-937

  3. Land use classification over smallholding areas in the European Common Agricultural Policy framework

    ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 197, pp. 320-334

  4. Soil and vegetation water content identify the main terrestrial ecosystem changes

    National Science Review, Vol. 10, Núm. 5

2022

  1. Inferring causal relations from observational long-term carbon and water fluxes records

    Scientific Reports, Vol. 12, Núm. 1

  2. Quantifying uncertainty in high resolution biophysical variable retrieval with machine learning

    Remote Sensing of Environment, Vol. 280

2021

  1. A unified vegetation index for quantifying the terrestrial biosphere

    Science Advances, Vol. 7, Núm. 9

  2. GLOBAL UPSCALING OF THE MODIS LAND COVER WITH GOOGLE EARTH ENGINE AND LANDSAT DATA

    International Geoscience and Remote Sensing Symposium (IGARSS)

  3. Learning main drivers of crop progress and failure in Europe with interpretable machine learning

    International Journal of Applied Earth Observation and Geoinformation, Vol. 104

  4. PHYSICS-AWARE MACHINE LEARNING FOR GEOSCIENCES AND REMOTE SENSING

    International Geoscience and Remote Sensing Symposium (IGARSS)

2020

  1. A global canopy water content product from AVHRR/Metop

    ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 162, pp. 77-93

  2. Discovering Differential Equations from Earth Observation Data

    International Geoscience and Remote Sensing Symposium (IGARSS)

  3. Down-Scaling Modis Vegetation Products with Landsat GAP Filled Surface Reflectance in Google Earth Engine

    International Geoscience and Remote Sensing Symposium (IGARSS)

  4. Interpretability of Recurrent Neural Networks in Remote Sensing

    International Geoscience and Remote Sensing Symposium (IGARSS)

  5. Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources

    Information Fusion, Vol. 63, pp. 256-272

  6. Machine learning methods for spatial and temporal parameter estimation

    Advances in Computer Vision and Pattern Recognition (Springer), pp. 5-35

  7. Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud

    Remote Sensing of Environment, Vol. 247

2018

  1. A methodology to derive global maps of leaf traits using remote sensing and climate data

    Remote Sensing of Environment, Vol. 218, pp. 69-88

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

    Remote Sensing, Vol. 10, Núm. 8