BENEFITS OF APPLYING NODAL SAMPLING TO SMOS DATA OVER SEMI-ENCLOSED SEAS AND STRONGLY RFI-CONTAMINATED REGIONS

被引：0

作者：

Gonzalez-Gambau, V. ^{[1
,2
]}

Olmedo, E. ^{[1
,2
]}

Martinez, J. ^{[1
,2
]}

Turiel, A. ^{[1
,2
]}

Corbella, I. ^{[3
]}

Oliva, R. ^{[4
]}

Martin-Neira, M. ^{[5
]}

机构：

[1] CSIC, BEC, P Maritim Barceloneta 37-49, E-08003 Barcelona, Spain

[2] CSIC, Inst Marine Sci, P Maritim Barceloneta 37-49, E-08003 Barcelona, Spain

[3] Univ Politecn Cataluna, Remote Sensing Lab, ES-08034 Barcelona, Spain

[4] European Space Agcy, ESA ESAC, E-28691 Madrid, Spain

[5] European Space Agcy, ESA ESTEC, Keplerlaan 1, NL-2200 AG Noordwijk, Netherlands

来源：

IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2018年

关键词：

Image reconstruction; interferometry; nodal sampling; Radio Frequency Interferences; coastal areas; semi-enclosed seas; Soil Moisture and Ocean Salinity (SMOS); IMAGE-RECONSTRUCTION; CALIBRATION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Radio Frequency Interferences (RFI) are still an important source of contamination in SMOS data. The application of nodal sampling (NS) to brightness temperature images helps to mitigate the degradation that RFIs produce in geophysical retrievals. Nodal sampling has been extensive and successfully tested over open ocean and in the proximity to coastal regions. In this work, we assess the performances of NS over strongly RFI-contaminated ocean regions, particularly over semi-enclosed seas. These regions are especially challenging because of the strong contamination caused by the nearby RFI sources over land and the residual land-sea contamination.

引用

页码：305 / 308

页数：4