Optimizing the algorithm for retrieving soil moisture from SMOS data

Philippe Waldteufel (1) , Philippe Richaume (2) , Yann H. Kerr (2) , Jean-Pierre Wigneron (3) , Ali Mahmoodi (4) , Arnaud Mialon (2) , J.-L. Vergely (5) , François Cabot (2) , Paolo Ferrazzoli (6) , Steven Delwart (7)

1 SA - Service d'aéronomie
2 CESBIO - Centre d'études spatiales de la biosphère
3 EPHYSE - Écologie fonctionnelle et physique de l'environnement
4 Array Systems Computing
5 ACRI-ST - Analytic and Computational Research, Inc. - Earth Sciences
6 Università degli Studi di Roma Tor Vergata [Roma] = University of Rome Tor Vergata
7 ESTEC - European Space Research and Technology Centre

This contribution summarizes prominent features of the Level 2 algorithm aimed at processing land surface geophysical quantities from the ESA-led SMOS mission. It emphasizes the soil moisture retrieval and describes the decision tree built in order to select appropriate retrieval configurations. The expected performance is illustrated by preliminary results of the algorithm validation.

Mots clés: PASSIVE MICROWAVES; L-BAND; DECISION TREE

Mots clés: SMOS; SOIL MOISTURE; SOIL MOISTURE RETRIEVAL

Domaines: Sciences du Vivant [q-bio]; Sciences de l'environnement; Hydrologie

Philippe Waldteufel, Philippe Richaume, Yann H. Kerr, Jean-Pierre Wigneron, Ali Mahmoodi, et al.. Optimizing the algorithm for retrieving soil moisture from SMOS data. 2007 IEEE International Geoscience and Remote Sensing Symposium, 2007, Barcelona, Spain. ⟨10.1109/IGARSS.2007.4423713⟩. ⟨hal-02817795⟩