LUCA
PIPIA -
INVEST DOCT UV SENIOR
SANTIAGO
BELDA PALAZON
INVEST DOCT UV SENIOR
Publicaciones en las que colabora con SANTIAGO BELDA PALAZON (13)
2024
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In-season forecasting of within-field grain yield from Sentinel-2 time series data
International Journal of Applied Earth Observation and Geoinformation, Vol. 126
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Inferring global terrestrial carbon fluxes from the synergy of Sentinel 3 & 5P with Gaussian process hybrid models
Remote Sensing of Environment, Vol. 305
2022
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Monitoring cropland phenology on google earth engine using gaussian process regression
Remote Sensing, Vol. 14, Núm. 1
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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
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Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine
Remote Sensing, Vol. 14, Núm. 6
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Trends in Satellite Sensors and Image Time Series Processing Methods for Crop Phenology Monitoring
Springer Optimization and Its Applications (Springer), pp. 199-231
2021
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CROP PHENOLOGY RETRIEVAL THROUGH GAUSSIAN PROCESS REGRESSION
International Geoscience and Remote Sensing Symposium (IGARSS)
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Green lai mapping and cloud gap-filling using gaussian process regression in google earth engine
Remote Sensing, Vol. 13, Núm. 3
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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)
2020
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DATimeS: A machine learning time series GUI toolbox for gap-filling and vegetation phenology trends detection
Environmental Modelling and Software, Vol. 127
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Optimizing Gaussian process regression for image time series gap-filling and crop monitoring
Agronomy, Vol. 10, Núm. 5
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Quantifying vegetation biophysical variables from the Sentinel-3/FLEX tandem mission: Evaluation of the synergy of OLCI and FLORIS data sources
Remote Sensing of Environment, Vol. 251
2019
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Fusing optical and SAR time series for LAI gap fillingwith multioutput Gaussian processes
Remote Sensing of Environment, Vol. 235