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Soil moisture retrieval from space: the Soil Moisture and Ocean Salinity (SMOS) mission

IEEE Transactions on Geoscience and Remote Sensing · 2001 · Vol. 39(8) · pp. 1729–1735
Yann H. KerrPhilippe WaldteufelJean‐Pierre WigneronJean-Michel MartinuzziJordi FontMichael Berger

Abstract

Microwave radiometry at low frequencies (L-band: 1.4 GHz, 21 cm) is an established technique for estimating surface soil moisture and sea surface salinity with a suitable sensitivity. However, from space, large antennas (several meters) are required to achieve an adequate spatial resolution at L-band. So as to reduce the problem of putting into orbit a large filled antenna, the possibility of using antenna synthesis methods has been investigated. Such a system, relying on a deployable structure, has now proved to be feasible and has led to the Soil Moisture and Ocean Salinity (SMOS) mission, which is described. The main objective of the SMOS mission is to deliver key variables of the land surfaces (soil moisture fields), and of ocean surfaces (sea surface salinity fields). The SMOS mission is based on a dual polarized L-band radiometer using aperture synthesis (two-dimensional [2D] interferometer) so as to achieve a ground resolution of 50 km at the swath edges coupled with multiangular acquisitions. The radiometer will enable frequent and global coverage of the globe and deliver surface soil moisture fields over land and sea surface salinity over the oceans. The SMOS mission was proposed to the European Space Agency (ESA) in the framework of the Earth Explorer Opportunity Missions. It was selected for a tentative launch in 2005. The goal of this paper is to present the main aspects of the baseline mission and describe how soil moisture will be retrieved from SMOS data.

Soil Moisture and Remote SensingPrecipitation Measurement and AnalysisSynthetic Aperture Radar (SAR) Applications and TechniquesRadiometerRemote sensingEnvironmental scienceWater contentAperture synthesisRadiometryL bandSynthetic aperture radarSea surface temperatureMeteorology

Funding

  • Centre National de la Recherche Scientifique
  • Université de Paris
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Cited by
The SMOS Soil Moisture Retrieval Algorithm
IEEE Transactions on Geoscience and Remote Sensing · 2012 · 1,022 citations
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