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Covariation of SMAP active and passive measurements with respect to vegetation and surface roughness., , , , , , , и . IGARSS, стр. 4166-4169. IEEE, (2017)Global mapping of land surface soil moisture from the water cycle observation mission (WCOM)., , и . IGARSS, стр. 3438-3441. IEEE, (2016)Validation Of Satellite Soil Moisture Products In China Using Ground-Based Observations., , , и . IGARSS, стр. 3167-3169. IEEE, (2023)Estimating daytime surface air temperature using multi-source remote sensing and climate reanalysis data at glacierized basins: A case study at Langtang valley, Nepal., , , , , , , , , и 2 other автор(ы). IGARSS, стр. 4143-4146. IEEE, (2016)L-band brightness temperature disaggregation by using S-band C-band radiometer data., , и . IGARSS, стр. 2515-2518. IEEE, (2017)All-Season Liquid Soil Moisture Retrieval From SMAP., , , , , , , , , и 3 other автор(ы). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)Global Characterizations of Drydown Events from a Long-Term Satellite Soil Moisture Dataset., , , , , , , и . IGARSS, стр. 2843-2845. IEEE, (2023)Soil Moisture Retrieval Only Using Smap L-Band Radar Observations., , , , , , , , и . IGARSS, стр. 4586-4589. IEEE, (2020)Estimating Surface Soil Moisture from AMSR2 Tb with Artificial Neural Network Method and SMAP Products., , , , , , , , и . IGARSS, стр. 6998-7001. IEEE, (2019)Correction: Yao, P. et al. Rebuilding Long Time Series Global Soil Moisture Products Using the Neural Network Adopted the Microwave Vegetation Index. Remote Sens. 2017, 9, 35., , , , и . Remote. Sens., 9 (8): 849 (2017)