Publicaciones en colaboración con investigadores/as de Universitat de València (26)

2024

  1. In-season forecasting of within-field grain yield from Sentinel-2 time series data

    International Journal of Applied Earth Observation and Geoinformation, Vol. 126

  2. Inferring global terrestrial carbon fluxes from the synergy of Sentinel 3 & 5P with Gaussian process hybrid models

    Remote Sensing of Environment, Vol. 305

  3. Reviews and syntheses: Remotely sensed optical time series for monitoring vegetation productivity

    Biogeosciences, Vol. 21, Núm. 2, pp. 473-511

  4. Trends in Satellite Time Series Processing for Vegetation Phenology Monitoring

    Multitemporal Earth Observation Image Analysis: Remote Sensing Image Sequences (wiley), pp. 151-183

2023

  1. A First Assessment of the Corrections for the Consistency of the IAU2000 and IAU2006 Precession-Nutation Models

    International Association of Geodesy Symposia

  2. In-situ start and end of growing season dates of major European crop types from France and Bulgaria at a field level

    Data in Brief

2022

  1. Detection of a New Large Free Core Nutation Phase Jump

    Sensors (Basel, Switzerland), Vol. 22, Núm. 16

  2. Monitoring cropland phenology on google earth engine using gaussian process regression

    Remote Sensing, Vol. 14, Núm. 1

  3. Multi-Season Phenology Mapping of Nile Delta Croplands Using Time Series of Sentinel-2 and Landsat 8 Green LAI

    Remote Sensing, Vol. 14, Núm. 8

  4. Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine

    Remote Sensing, Vol. 14, Núm. 6

  5. Trends in Satellite Sensors and Image Time Series Processing Methods for Crop Phenology Monitoring

    Springer Optimization and Its Applications (Springer), pp. 199-231

2021

  1. CROP PHENOLOGY RETRIEVAL THROUGH GAUSSIAN PROCESS REGRESSION

    International Geoscience and Remote Sensing Symposium (IGARSS)

  2. Green lai mapping and cloud gap-filling using gaussian process regression in google earth engine

    Remote Sensing, Vol. 13, Núm. 3

  3. MAPPING ESSENTIAL VEGETATION VARIABLES OVER EUROPE USING GAUSSIAN PROCESS REGRESSION AND SENTINEL-3 DATA IN GOOGLE EARTH ENGINE

    International Geoscience and Remote Sensing Symposium (IGARSS)

  4. PROTOTYPING VEGETATION TRAITS MODELS IN THE CONTEXT OF THE HYPERSPECTRAL CHIME MISSION PREPARATION

    International Geoscience and Remote Sensing Symposium (IGARSS)

  5. The potsdam open source radio interferometry tool (Port)

    Publications of the Astronomical Society of the Pacific, Vol. 133, Núm. 1028

  6. Towards understanding the interconnection between celestial pole motion and earth’s magnetic field using space geodetic techniques

    Sensors, Vol. 21, Núm. 22

2020

  1. A new hybrid method to improve the ultra-short-term prediction of LOD

    Journal of Geodesy, Vol. 94, Núm. 2

  2. DATimeS: A machine learning time series GUI toolbox for gap-filling and vegetation phenology trends detection

    Environmental Modelling and Software, Vol. 127

  3. Drift of the Earth's principal axes of inertia from GRACE and satellite laser ranging data

    Remote Sensing, Vol. 12, Núm. 2