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The Sensagri Sentinel-2 Lai Green and Brown Product: from Algorithm Development Towards Operational Mapping., , , , , , and . IGARSS, page 1822-1825. IEEE, (2018)Untangling the Causal Links between Satellite Vegetation Products and Environmental Drivers on a Global Scale by the Granger Causality Method., , , , and . Remote. Sens., 15 (20): 4956 (October 2023)Green LAI Mapping and Cloud Gap-Filling Using Gaussian Process Regression in Google Earth Engine., , , , and . Remote. Sens., 13 (3): 403 (2021)Crop Phenology Retrieval Through Gaussian Process Regression., , , , , and . IGARSS, page 6256-6259. IEEE, (2021)Fusing Optical and SAR time series for LAI gap filling with multioutput Gaussian processes., , , , , and . CoRR, (2020)Multi-Season Phenology Mapping of Nile Delta Croplands Using Time Series of Sentinel-2 and Landsat 8 Green LAI., , , , , , and . Remote. Sens., 14 (8): 1812 (2022)DATimeS: A machine learning time series GUI toolbox for gap-filling and vegetation phenology trends detection., , , , , , and . Environ. Model. Softw., (2020)Prototyping Vegetation Traits Models in the Context of the Hyperspectral Chime Mission Preparation., , , , , , , , , and 8 other author(s). IGARSS, page 7678-7681. IEEE, (2021)In-season forecasting of within-field grain yield from Sentinel-2 time series data., , , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (February 2024)