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Correction: Olmedo, E., et al. Seven Years of SMOS Sea Surface Salinity at High Latitudes: Variability in Arctic and Sub-Arctic Regions. Remote Sensing 2018, 10, 1772
Open AccessEditorial

Editorial for the Special Issue “Sea Surface Salinity Remote Sensing”

by Emmanuel Dinnat 1,2,* and Xiaobin Yin 3
1
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
2
CEESMO, Chapman University, Orange, CA 92866, USA
3
Beijing PIESAT Information Technology Co., Ltd., Beijing 100195, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(11), 1300; https://doi.org/10.3390/rs11111300
Received: 27 May 2019 / Accepted: 30 May 2019 / Published: 31 May 2019
(This article belongs to the Special Issue Sea Surface Salinity Remote Sensing)
This Special Issue gathers papers reporting research on various aspects of remote sensing of sea surface salinity (SSS) and the use of satellites SSS in oceanography. It includes contributions presenting improvements in empirical or theoretical radiative transfer models; mitigation techniques of external interference such as radio frequency interferences (RFI) and land contamination; comparisons and validation of remote sensing products with in situ observations; retrieval techniques for improved coastal SSS monitoring, high latitude SSS monitoring and assessment of ocean interactions with the cryosphere; and data fusion techniques combining SSS with sea surface temperature (SST). New instrument technology for the future of SSS remote sensing is also presented. View Full-Text
Keywords: sea surface salinity; ocean surface roughness; microwave radiometry; remote sensing; forward model; retrieval algorithm sea surface salinity; ocean surface roughness; microwave radiometry; remote sensing; forward model; retrieval algorithm
MDPI and ACS Style

Dinnat, E.; Yin, X. Editorial for the Special Issue “Sea Surface Salinity Remote Sensing”. Remote Sens. 2019, 11, 1300.

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