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Global Characterizations of Drydown Events from a Long-Term Satellite Soil Moisture Dataset.

, , , , , , , and . IGARSS, page 2843-2845. IEEE, (2023)

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An L-Band Brightness Temperature Disaggregation Method Using S-Band Radiometer Data for the Water Cycle Observation Mission (WCOM)., , , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 12 (9): 3184-3193 (2019)Covariation of SMAP active and passive measurements with respect to vegetation and surface roughness., , , , , , , and . IGARSS, page 4166-4169. IEEE, (2017)L-band brightness temperature disaggregation by using S-band C-band radiometer data., , and . IGARSS, page 2515-2518. IEEE, (2017)All-Season Liquid Soil Moisture Retrieval From SMAP., , , , , , , , , and 3 other author(s). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)Rebuilding Long Time Series Global Soil Moisture Products Using the Neural Network Adopting the Microwave Vegetation Index., , , , and . Remote. Sens., 9 (1): 35 (2017)Global Characterizations of Drydown Events from a Long-Term Satellite Soil Moisture Dataset., , , , , , , and . IGARSS, page 2843-2845. IEEE, (2023)Global mapping of land surface soil moisture from the water cycle observation mission (WCOM)., , and . IGARSS, page 3438-3441. IEEE, (2016)Validation Of Satellite Soil Moisture Products In China Using Ground-Based Observations., , , and . IGARSS, page 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., , , , , , , , , and 2 other author(s). IGARSS, page 4143-4146. IEEE, (2016)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., , , , and . Remote. Sens., 9 (8): 849 (2017)