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Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine., , , , , , , , and . Remote. Sens., 14 (6): 1347 (2022)Towards Understanding the Interconnection between Celestial Pole Motion and Earth's Magnetic Field Using Space Geodetic Techniques., , , , , , , and . Sensors, 21 (22): 7555 (2021)Mapping Essential Vegetation Variables Over Europe Using Gaussian Process Regression and Sentinel-3 Data in Google Earth Engine., , , , , , and . IGARSS, page 6260-6263. IEEE, (2021)Changes in Onset of Vegetation Growth on Svalbard, 2000-2020., , , , and . Remote. Sens., 14 (24): 6346 (December 2022)Compact Integration of a GSM-19 Magnetic Sensor with High-Precision Positioning using VRS GNSS Technology., , , , and . Sensors, 9 (4): 2944-2950 (2009)Inter-Comparison of UT1-UTC from 24-Hour, Intensives, and VGOS Sessions during CONT17., , , , , and . Sensors, 22 (7): 2740 (2022)The Short-Term Prediction of Length of Day Using 1D Convolutional Neural Networks (1D CNN)., , , , , , , and . Sensors, 22 (23): 9517 (2022)Drift of the Earth's Principal Axes of Inertia from GRACE and Satellite Laser Ranging Data., , , , , , and . Remote. Sens., 12 (2): 314 (2020)Quantifying the Robustness of Vegetation Indices through Global Sensitivity Analysis of Homogeneous and Forest Leaf-Canopy Radiative Transfer Models., , , , , , and . Remote. Sens., 11 (20): 2418 (2019)Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process Regression., , , , , , and . Remote. Sens., 14 (1): 146 (2022)