Data assimilation of image data into a spatialized water and pesticide fluxes model.

Lauvernet, Claire; Gatel, Laura; Pasetto, Damiano; Vidard, Arthur; Nodet, Maëlle et Paniconi, Claudio . Data assimilation of image data into a spatialized water and pesticide fluxes model. In: Workshop on Data Assimilation in Terrestrial Systems, 19-21 septembre 2016, Bonn, Allemagne.

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Résumé

Physically-based models represent detailed surface/subsurface transfer, but the required spatial information does not allow their operational use. In situ data on pesticides in a catchment are usually rare and not continuous in time and space. Satellite images, on the other hand, well describe data in space, but only water related, and at limited time frequency. This study aims to exploit these 3 types of information (model,in situ data, images) with data assimilation methods adapted to image data, in order to improve pesticide and hydrological parameters and better understand physical processes. This poster discusses the proposed methodology as well as the available study site data and modeling components.

Type de document:	Document issu d'une conférence ou d'un atelier
Informations complémentaires:	Affiche
Mots-clés libres:	modélisation hydrologique
Centre:	Centre Eau Terre Environnement
Date de dépôt:	08 juin 2018 17:44
Dernière modification:	08 juin 2018 17:44
URI:	https://espace.inrs.ca/id/eprint/6588

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