Evaluation of three different data fusion approaches that uses satellite soil moisture from different passive microwave sensors to construct one consistent climate record

Robin van Der Schalie (1, 2) , Richard de Jeu (2) , Yann H. Kerr (3) , Jean-Pierre Wigneron (4) , Nemesio Rodriguez‐fernandez (3) , Amen Al Yaari (4) , Matthias Drusch (5) , Susanne Mecklenburg (6) , Han Dolman (1)

1 Faculty of Earth and Life Sciences
2 Space Technology Center
3 CESBIO - Centre d'études spatiales de la biosphère
4 UMR ISPA - Interactions Sol Plante Atmosphère
5 ESTEC - European Space Research and Technology Centre
6 ESA - Agence Spatiale Européenne = European Space Agency

Evaluation of three different data fusion approaches that uses satellite soil moisture from different passive microwave sensors to construct one consistent climate record. European Geosciences Union General Assembly 2016

Mots clés: data analysis; soil moisture and ocean salinity; remote sensing

Mots clés: capteur satellite; analyse de données; capteur smos; télédétection

Domaines: Traitement du signal et de l'image [eess.SP]

Robin van Der Schalie, Richard de Jeu, Yann H. Kerr, Jean-Pierre Wigneron, Nemesio Rodriguez‐fernandez, et al.. Evaluation of three different data fusion approaches that uses satellite soil moisture from different passive microwave sensors to construct one consistent climate record. European Geosciences Union General Assembly 2016, Apr 2016, Vienne, Austria. , Geophysical Research Abstracts, 2016, Geophysical Research Abstracts. ⟨hal-01594788⟩