July 13-18, 2014
Quebec, Canada
https://ieeexplore.ieee.org/xpl/conhome/6919813/proceedingAquarius-related papers presented at the 2014 Geoscience and Remote Sensing Symposium (theme: "Energy and our Changing Planet") covered applications such as radio frequency interference, soil moisture, mapping of the DOME-C area (Antarctica), ocean salinity and stratification. IGARSS is sponsored by the Institute of Electrical and Electronics Engineers (IEEE).

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Chen, D.D. and Ruf, C. [09-Sep-15]. Microwave radiometer RFI detection methods has a big challenge of evaluating the ground truth of the RFI environment. A method is introduced to observe the probability distribution of RFI amplitude around the globe, to characterize the RFI environment. The method is presented, followed by future improvements. Lan, H., Zhao, T., Zhang, Z., and Shi, J. [09-Sep-15]. The Aquarius mission's goal is to provide sea surface salinity. It is a collaboration between NASA and Argentina's space agency. This paper will be assessing the RFI contamination that is present over China, that are mainly caused by the cities' air-traffic control radars. Li, D., Zhao, T., Shi, J., Bindlish, R., Jackson, T., Peng, B., and Liu, Q. [09-Sep-15]. In this paper the reliability of Aquarius level-2 soil moisture products is being validated by the Tibetan Plateau Soil Moisture/Temperature Monitoring Network and the Soil Climate Analysis Network. Champage, C., Rowlandson, T., Berg, A., Burns, T., L'Heureux, J., Adams, J., McNairn, H., and Toth, B. [09-Sep-15]. Passive microwave derived satellite moisture data was evaluated over in Canada from two L-Band sensors. Soil moisture data from the Soil Moisture and Ocean Salinity (SMOS) and the Aquarius missino were used. This highlights the importance of distributed in situ networks. Skou, N. Kristensen, S.S., Sobjarg, S.S., and Balling, J.E. [09-Sep-15]. An area in Antartica has been mapped by an airborne L-band. The area is well suited for calibration checks for the spaceborne instruments like SMOS, Aquarius, and SMAP. Bruscantini, C., Grings, F., Carballi, F., Barber, M., Perna, P., and Karszenbaum, H. [09-Sep-15]. Several retrieval algorithms were implemented to retrieve soil moisture and optical depth. The methodology of the Bayesian algorithm was also presented, and was contrasted with previous algorithms. Performance metrics were derived using SMOS L2 soil moisture as benchmark product. Meissner, T., Wentz, F., Scott, J., and Hilburn, K. [09-Sep-15]. This paper focuses on comparing Aquarius salinity in the tropics with measurements from the ARGO drifter network.