DocumentCode
2678694
Title
SMOS sea surface salinity prototype processor: Algorithm validation
Author
Zine, S. ; Boutin, J. ; Reul, N. ; Tenerelli, J. ; Font, J. ; Gabarro, C. ; Talone, M. ; Waldteufel, P. ; Petitcolin, F. ; Vergely, J.-L.
Author_Institution
Inst. Pierre-Simon Laplace, Paris
fYear
2007
fDate
23-28 July 2007
Firstpage
3955
Lastpage
3958
Abstract
The Soil Moisture and Ocean Salinity (SMOS) mission (launch scheduled for 2008) aims at obtaining global maps of soil moisture and sea surface salinity (SSS). It uses an L-band (1.4 GHz) microwave interferometric radiometer to obtain brightness temperatures (Tb) at the Earth surface at horizontal and vertical polarizations. They will be used to retrieve both geophysical variables, following specifically designed algorithms that will be applied when the satellite field-of-view is covering land or ocean surfaces respectively. The retrieval of salinity is a complex process that requires the knowledge of environmental information and an accurate processing of the radiometer measurements, because of the narrow range of ocean Tb and the strong impact on the measures of geophysical parameters (such as sea state). Here we present the baseline approach chosen to retrieve sea surface salinity from SMOS data, as developed and implemented by the joint team of scientists and engineers responsible for the SMOS Salinity Level 2 Prototype Processor. We present academic tests conducted over homogeneous scenes with the prototype. In these configurations, external perturbation sources (sky radiation, sun glint, ...) are not taken into account. Roughness is the main sea surface signal disturbing SSS retrieval.
Keywords
geophysical signal processing; oceanographic techniques; radiometry; remote sensing; seawater; L-band microwave interferometric radiometer; SMOS Salinity Level 2 Prototype Processor; SMOS mission; SSS global map; Soil Moisture and Ocean Salinity mission; algorithm validation; brightness temperature measurement; frequency 1.4 GHz; radiometer data processing; sea surface roughness; sea surface salinity; soil moisture global map; Geophysical measurements; Information retrieval; Microwave radiometry; Ocean temperature; Processor scheduling; Prototypes; SMOS mission; Sea measurements; Sea surface; Sea surface salinity; Microwave Radiometry; Oceanography; SMOS; Salinity;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location
Barcelona
Print_ISBN
978-1-4244-1211-2
Type
conf
DOI
10.1109/IGARSS.2007.4423714
Filename
4423714
Link To Document