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Dominant Features of Global Surface Soil Moisture Variability Observed by the SMOS Satellite., , и . Remote Sensing, 11 (1): 95 (2019)Nonlinear Complex PCA for Spatio-Temporal Analysis of Global Soil Moisture., , и . IGARSS, стр. 5780-5783. IEEE, (2018)Nonlinear PCA for Spatio-Temporal Analysis of Earth Observation Data., , и . IEEE Trans. Geosci. Remote. Sens., 58 (8): 5752-5763 (2020)Spatial-Resolution Enhancement of SMOS Data: A Deconvolution-Based Approach., , , и . IEEE Trans. Geosci. Remote. Sens., 47 (7-2): 2182-2192 (2009)Let's consider more general nonlinear approaches to study teleconnections of climate variables., , и . CoRR, (2022)Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources., , , , , , , , , и . Inf. Fusion, (2020)Preliminary Results of the Advanced L-band Transmission and Reflection Observationof the Sea Surface (ALBATROSS) Campaign: Preparing the SMOS Calibration and Validation Activities., , , , , , , , , и 1 other автор(ы). IGARSS (4), стр. 725-728. IEEE, (2009)Deconvolution algorithms in image reconstruction for aperture synthesis radiometers., , , , , и . IGARSS, стр. 1460-1463. IEEE, (2007)Enhancing the spatial resolution of SMOS soil moisture data over Spain., , , и . IGARSS, стр. 3121-3124. IEEE, (2011)On the synergy of SMOS and Terra/Aqua MODIS: High resolution soil moisture maps in near real-time., , , , , , , и . IGARSS, стр. 3423-3426. IEEE, (2013)