Luca Pipia

Institut Cartogràfic i Geològic de Catalunya — Spain

Environmental Science · Physical Sciences

21h-index1.5kcitations65works14.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Remote Sensing in Agriculture(30), Synthetic Aperture Radar (SAR) Applications and Techniques(29), Soil Moisture and Remote Sensing(18), Advanced SAR Imaging Techniques(14), Remote Sensing and LiDAR Applications(11)

Publications65 total

Trends in Satellite Time Series Processing for Vegetation Phenology Monitoring
2024· 1 cited
Inferring global terrestrial carbon fluxes from the synergy of Sentinel 3 & 5P with Gaussian process hybrid models
Remote Sensing of Environment·2024· 27 citedOpen Access
In-season forecasting of within-field grain yield from Sentinel-2 time series data
International Journal of Applied Earth Observation and Geoinformation·2023· 20 citedOpen Access
Multi-Season Phenology Mapping of Nile Delta Croplands Using Time Series of Sentinel-2 and Landsat 8 Green LAI
Remote Sensing·2022· 28 citedOpen Access
Quantifying agricultural traits and land surface phenology metrics in Google Earth Engine.
2022Open Access
Monitoring vegetation traits over Europe using top-of-atmosphere Sentinel-3 data in Google Earth Engine
2022· 13 citedOpen Access
Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine
Remote Sensing·2022· 29 citedOpen Access
Gaussian processes retrieval of crop traits in Google Earth Engine based on Sentinel-2 top-of-atmosphere data
Remote Sensing of Environment·2022· 96 citedOpen Access
Trends in Satellite Sensors and Image Time Series Processing Methods for Crop Phenology Monitoring
Springer optimization and its applications·2022· 11 cited
Mapping Canopy-Level Crop Traits Using Top-of-Atmosphere Sentinel-2 Data in Google Earth Engine
GIS ... Ostrava·2022Open Access
Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process Regression
Remote Sensing·2021· 60 citedOpen Access
Mapping Essential Vegetation Variables Over Europe Using Gaussian Process Regression and Sentinel-3 Data in Google Earth Engine
2021· 3 cited
Crop Phenology Retrieval Through Gaussian Process Regression
2021
Retrieving and Validating Leaf and Canopy Chlorophyll Content at Moderate Resolution: A Multiscale Analysis with the Sentinel-3 OLCI Sensor
Remote Sensing·2021· 21 citedOpen Access
Gaussian Process Regression hyperparameter optimization for image time series gap-filling of Earth observation data and crop monitoring
2021Open Access
Crop phenology monitoring from Landsat 8 and Sentinel-2 green LAI time series at the Nile Delta
2021· 1 citedOpen Access
Mapping vegetation variables in Google Earth Engine using Gaussian Process Regression models.   
2021Open Access
Green LAI Mapping and Cloud Gap-Filling Using Gaussian Process Regression in Google Earth Engine
Remote Sensing·2021· 80 citedOpen Access
Prototyping Sentinel-2 green LAI and brown LAI products for cropland monitoring
Remote Sensing of Environment·2020· 67 citedOpen Access
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·2020· 72 citedOpen Access
page 1 of 4Next →

Frequent Co-authors

X. Fàbregas(19), Albert Aguasca(18), Carlos López-Martínez(18), Jochem Verrelst(17), Santiago Belda(14), Jordi J. Mallorquí(14), Juan Pablo Rivera(8), Eatidal Amin(7), Matías Salinero-Delgado(6), Jordi Corbera(6), Katja Berger(5), Pablo Reyes-Muñoz(5), J. Moreno(5), Pablo Morcillo-Pallarés(4), Charlotte De Grave(4), José Estévez(4), Ramón Álamús(4), Anna Tardà(4), Jordi Marturià(3), G. Margarit(3)