Argitalpenak (53) SANTIAGO BELDA PALAZON argitalpenak

2024

  1. Assessment of length-of-day and universal time predictions based on the results of the Second Earth Orientation Parameters Prediction Comparison Campaign

    Journal of Geodesy, Vol. 98, Núm. 3

  2. Deep ensemble geophysics-informed neural networks for the prediction of celestial pole offsets

    Geophysical Journal International, Vol. 236, Núm. 1, pp. 480-493

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

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

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

    Remote Sensing of Environment, Vol. 305

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

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

  6. Short-term prediction of celestial pole offsets with interpretable machine learning

    Earth, Planets and Space, Vol. 76, Núm. 1

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

  3. Investigating the Relationship Between Length of Day and El-Niño Using Wavelet Coherence Method

    International Association of Geodesy Symposia

2022

  1. Changes in Onset of Vegetation Growth on Svalbard, 2000–2020

    Remote Sensing, Vol. 14, Núm. 24

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

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

  3. Inter-Comparison of UT1-UTC from 24-Hour, Intensives, and VGOS Sessions during CONT17

    Sensors, Vol. 22, Núm. 7

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

    Remote Sensing, Vol. 14, Núm. 1

  5. 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

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

    Remote Sensing, Vol. 14, Núm. 6

  7. The Short-Term Prediction of Length of Day Using 1D Convolutional Neural Networks (1D CNN)

    Sensors, Vol. 22, Núm. 23

  8. 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)