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Proceedings Paper

Soil moisture monitoring with SMOS
Author(s): Yann H. Kerr; Jean Pierre Wigneron; Philippe Waldteufel; Jean-Christophe Calvet; Michael Berger
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Paper Abstract

The SMOS L-band 2-D interferometer is based on an innovative concept of bi-dimensional aperture synthesis method. The instrument is a Y shaped structure consisting of 3 coplanar arms. The sensor has new and very significant capabilities especially in terms of multi-angular view configuration.. This paper will describe the SMOS concept in terms of instrument (characteristics) investigates the main aspects of the retrieval capabilities of the 2-D microwave interferometer for monitoring soil moisture, vegetation biomass and surface temperature. The analysis is based on model inversion taking into account the instrument characteristics. The standard error of estimate of the surface variables is computed as a function of the sensor configuration system and of the uncertainties associated with the spatial measurements. The inversion process is based on a standard minimisation routine that computes both retrieved variables and standard error associated with the retrievals. The potential of SMOS, depending on the view angle configuration and the use of the sole 1.4 GHz is investigated. These questions are key issues to define the observation configuration of SMOS that meets the scientific requirements and the technical constraints of the spatial missions.

Paper Details

Date Published: 28 January 2002
PDF: 12 pages
Proc. SPIE 4542, Remote Sensing for Agriculture, Ecosystems, and Hydrology III, (28 January 2002); doi: 10.1117/12.454183
Show Author Affiliations
Yann H. Kerr, Ctr. National d'Etudes Spatiales de la Biosphere (France)
Jean Pierre Wigneron, Institut National de la Recherche Agronomique (France)
Philippe Waldteufel, Institut Pierre Simon Laplace (France)
Jean-Christophe Calvet, Meteo-France/Ctr. National de Recherches Meteoroligique (France)
Michael Berger, European Space Agency/ESTEC (Netherlands)

Published in SPIE Proceedings Vol. 4542:
Remote Sensing for Agriculture, Ecosystems, and Hydrology III
Manfred Owe; Guido D'Urso, Editor(s)

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