Utilisation des données hyperspectrales du capteur IASI pour la restitution des paramètres thermo-optiques des surfaces terrestres

Abstract : This thesis focuses on the validation of a methodology for determining the surface temperature (LST) and surface emissivity (LES) from hyperspectral radiances from the IASI sensor on board of the European satellite METOP. We show that it is possible to extract these two parameters from a remotely sensed TIR signal using a physical approach. The spectral range under study extends from 750 to 1250 cm-1 (8 to 13.3 μm) and the spectral resolution is 0.25 cm-1, placing this work in the context of very high spectral resolution infrared radiometry. After studying the existing methods of separation, the SpSm method (Spectral Smothness), is validated. A study of sensitivity to atmospheric and instrumental noise is conducted. The SpSm method is applied to the IASI data in real conditions in 2008 in a spatial area that covers Europeand North Africa. The results are validated on one hand with the MODIS and SEVIRI products, and on the otherhand with temperatures and emissivities obtained from the SEVIRI radiances and the TISI algorithm.
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Nicolas Albalat. Utilisation des données hyperspectrales du capteur IASI pour la restitution des paramètres thermo-optiques des surfaces terrestres. Sciences de la Terre. Université de Strasbourg, 2012. Français. ⟨NNT : 2012STRAD013⟩. ⟨tel-00747800⟩

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