Authors
J-P Wigneron, Yann Kerr, Philippe Waldteufel, Kauzar Saleh, M-J Escorihuela, Philippe Richaume, Paolo Ferrazzoli, Patricia De Rosnay, Robert Gurney, J-C Calvet, Jennifer P Grant, Massimo Guglielmetti, B Hornbuckle, Christian Mätzler, Thierry Pellarin, Mike Schwank
Publication date
2007/4/30
Journal
Remote Sensing of Environment
Volume
107
Issue
4
Pages
639-655
Publisher
Elsevier
Description
In the near future, the SMOS (Soil Moisture and Ocean Salinity) mission will provide global maps of surface soil moisture (SM). The SMOS baseline payload is an L-band (1.4 GHz) two dimensional interferometric microwave radiometer which will provide multi-angular and dual-polarization observations. In the framework of the ground segment activities for the SMOS mission an operational SMOS Level 2 Soil Moisture algorithm was developed. The principle of the algorithm is to exploit multi-angular data in order to retrieve simultaneously several surface parameters including soil moisture and vegetation characteristics. The algorithm uses an iterative approach, minimizing a cost function computed from the differences between measured and modelled brightness temperature (TB) data, for all available incidence angles. In the algorithm, the selected forward model is the so-called L-MEB (L-band Microwave Emission …
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