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Combinaison multi-capteurs de données de couleur de l'eau : application en océanographie opérationnelle

Abstract : Phytoplankton play an important role in the carbon cycle on Earth, via the carbon dioxide absorption during photosynthesis. If scientific cruises provide high frequency data at high space-time resolution, the observation from space allows a synoptic description and on long periods of chlorophyll-a, the ocean phytoplankton's main pigment. Each space mission measuring ocean color is limited in ocean spatial coverage (satellite tracks, clouds, etc.). The daily spatial coverage may increase significantly by merging datasets from several sensors. The objective of this Ph.D. was to design, develop and test different methods which combine ocean color data, from the American sensors SeaWiFS and MODIS/Aqua, for near real time applications for operational oceanography. Three concepts have been studied : error-weighted averaging (keeps the structures accuracy but uses only existing data), objective analysis (increases spatial coverage but, in return, smoothes the field), and a last new approach based on the wavelets transform (keeps the structures accuracy and increases the spatial coverage). The operationality of these three methods has been demonstrated.
The relevance of using combined data was studied by highlighting the dominant modes of oceanic variability in physical and biological dynamics in the Southern Ocean, by using SeaWiFS + MODIS/Aqua combined data from the Antarctic circumpolar belt during the 2002-2006 period.
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Contributor : Williams Exbrayat <>
Submitted on : Tuesday, October 16, 2007 - 2:57:59 PM
Last modification on : Saturday, January 9, 2021 - 3:31:25 AM
Long-term archiving on: : Sunday, April 11, 2010 - 11:08:28 PM


  • HAL Id : tel-00179729, version 1



Claire Pottier. Combinaison multi-capteurs de données de couleur de l'eau : application en océanographie opérationnelle. Autre. Université Paul Sabatier - Toulouse III, 2006. Français. ⟨tel-00179729⟩



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