SMAP RFI mitigation algorithm performance characterization using airborne high-rate direct-sampled SMAPVEX 2012 data

Misra, Sidharth; Johnson, Joel T.; Aksoy, Mustafa; Peng, Jinzheng; Bradley, Damon; O’Dwyer, I. J.; Padmanabhan, Sharmila; Dawson, Douglas E.; Chazanoff, Seth; Latham, Barron; Gaier, T.; Flores-Helizon, Caroline; Denning, Richard

doi:10.1109/igarss.2013.6721087

Cited by 6 publications

(2 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At these frequencies, the sensitivity to salinity is nearly invariant with water temperature and is up to 3 times more sensitive than at L-band for water temperatures less than 10 • C. However, the first missions were formulated with radiometers that operated in the protected Earth Exploration Satellite Service (EESS) spectrum from 1.4 to 1.427 GHz for passive radiometry use due to concerns of radio-frequency interference (RFI) (Kerr et al, 2001;Lagerloef et al, 2008;Entekhabi et al, 2010;Oliva et al, 2016). Recently, microwave radiometer technology has evolved to filter RFI and extract clean signals if present, expanding the potential spectrum of operation (Ruf et al, 2006;Misra et al, 2013Misra et al, , 2018Piepmeier et al, 2014). Radiometers with the ability to measure the spectrum in the range of 0.8-3 GHz can give the same benefit of simultaneous wind and SST retrieval, and significantly improve salinity measurements in general and in cold water in particular.…”

Section: Strategy For Technological Innovations -Simultaneous Measurementioning

confidence: 99%

Satellite Salinity Observing System: Recent Discoveries and the Way Forward

et al. 2019

Self Cite

View full text Add to dashboard Cite

Advances in L-band microwave satellite radiometry in the past decade, pioneered by ESA's SMOS and NASA's Aquarius and SMAP missions, have demonstrated an unprecedented capability to observe global sea surface salinity (SSS) from space. Measurements from these missions are the only means to probe the very-near surface salinity (top cm), providing a unique monitoring capability for the interfacial exchanges of water between the atmosphere and the upper-ocean, and delivering a wealth of information on various salinity processes in the ocean, linkages with the climate and water cycle, including land-sea connections, and providing constraints for ocean prediction models. The satellite SSS data are complimentary to the existing in situ systems such as Argo that provide accurate depiction of large-scale salinity variability in the open ocean but under-sample mesoscale variability, coastal oceans and marginal seas, and energetic regions such as boundary currents and fronts. In particular, salinity remote sensing has proven valuable to systematically monitor the open oceans as well as coastal regions up to approximately 40 km from the coasts. This is critical to addressing societally relevant topics, such as land-sea linkages, coastal-open ocean exchanges, research in the carbon cycle, near-surface mixing, and air-sea exchange of gas and mass. In this paper, we provide a community perspective on the major achievements of satellite SSS for the aforementioned topics, the unique capability of satellite salinity observing system and its complementarity with other platforms, uncertainty characteristics of satellite SSS, and measurement versus sampling errors in relation to in situ salinity measurements. We also discuss the need for technological innovations to improve the accuracy, resolution, and coverage of satellite SSS, and the way forward to both continue and enhance salinity remote sensing as part of the integrated Earth Observing System in order to address societal needs.

show abstract

Section: Strategy For Technological Innovations -Simultaneous Measurementioning

confidence: 99%

Satellite Salinity Observing System: Recent Discoveries and the Way Forward

et al. 2019

Self Cite

View full text Add to dashboard Cite

show abstract

“…Several surface-based and airborne L-band radiometers have been in operation for calibration and validation algorithm development activities during the pre-and post-launch periods for SMOS, Aquarius, and SMAP (Misra et al, 2013;Pardé et al, 2011;Delwart et al, 2008;Rautiainen et al, 2008). With this in mind, a hyperspectral L-band radiometer system was developed by Radiometrics Corporation © , Boulder, CO, and delivered to Environment and Climate Change Canada's (ECCC) Climate Research Division in 2010, that has the capability to detect broadband RFI and mitigate narrowband RFI over an expanded bandwidth with high frequency resolution, in a package that can be easily mounted on both tower and airborne platforms.…”

Section: Introductionmentioning

confidence: 99%

Radio-frequency interference mitigating hyperspectral L-band radiometer

Toose

Roy

Solheim³

et al. 2017

Geosci. Instrum. Method. Data Syst.

View full text Add to dashboard Cite

Abstract. Radio-frequency interference (RFI) can significantly contaminate the measured radiometric signal of current spaceborne L-band passive microwave radiometers. These spaceborne radiometers operate within the protected passive remote sensing and radio-astronomy frequency allocation of 1400-1427 MHz but nonetheless are still subjected to frequent RFI intrusions. We present a unique surfacebased and airborne hyperspectral 385 channel, dual polarization, L-band Fourier transform, RFI-detecting radiometer designed with a frequency range from 1400 through ≈ 1550 MHz. The extended frequency range was intended to increase the likelihood of detecting adjacent RFI-free channels to increase the signal, and therefore the thermal resolution, of the radiometer instrument. The external instrument calibration uses three targets (sky, ambient, and warm), and validation from independent stability measurements shows a mean absolute error (MAE) of 1.0 K for ambient and warm targets and 1.5 K for sky. A simple but effective RFI removal method which exploits the large number of frequency channels is also described. This method separates the desired thermal emission from RFI intrusions and was evaluated with synthetic microwave spectra generated using a Monte Carlo approach and validated with surface-based and airborne experimental measurements.

show abstract

Automatic Detection and Identification of RFI Sources for SMAP Satellite Polarized Data Based on IDL

Wang

Fan

et al. 2019

2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP)

View full text Add to dashboard Cite

SMAP RFI mitigation algorithm performance characterization using airborne high-rate direct-sampled SMAPVEX 2012 data

Cited by 6 publications

References 21 publications

Satellite Salinity Observing System: Recent Discoveries and the Way Forward

Satellite Salinity Observing System: Recent Discoveries and the Way Forward

Radio-frequency interference mitigating hyperspectral L-band radiometer

Automatic Detection and Identification of RFI Sources for SMAP Satellite Polarized Data Based on IDL

Contact Info

Product

Resources

About