Validation of surface velocity estimated from satellite images

Etienne Huot; Isabelle Herlin; Nicolas Mercier; Gennady K. Korotaev; Evgeny Plotnikov

inria-00602972, version 1

Validation of surface velocity estimated from satellite images

Etienne Huot () ¹, Isabelle Herlin () ^1, 2, Nicolas Mercier ^1, 2, Gennady K. Korotaev ³, Evgeny Plotnikov ³

N° RR-7658 (2011)

Résumé : This report concerns the validation of surface velocity estimated from satellite images. The estimation is obtained with a dynamic model based on shallow-water equations. We first compare the stationary assumption to the shallow-water heuristics to justify our choice. Second, we quantify the quality of the estimation by measuring the misfit between the model output and the altimetry measures. Experiments are achieved on Sea Surface Temperature data acquired by the NOAA/AVHRR satellites over the Black Sea. The altimetry measures are obtained by two radar sensors: Envisat and GFO. The good adequacy between the shallow-water output and the altimetry data validates our motion estimation approach.

1 : CLIME (INRIA Rocquencourt)
INRIA – Ecole des Ponts ParisTech
2 : Centre d'Enseignement et de Recherche en Environnement Atmosphérique (CEREA)
EDF – Ecole des Ponts ParisTech
3 : Marine Hydrophysical Institute (MHI)
the Ukrainian National Academy of Sciences

inria-00602972, version 1
http://hal.inria.fr/inria-00602972
oai:hal.inria.fr:inria-00602972
Contributeur : Etienne Huot <>
Soumis le : Jeudi 23 Juin 2011, 19:10:19
Dernière modification le : Vendredi 24 Juin 2011, 12:43:03

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%F inria-00602972, version 1
%0 Report
%U http://hal.inria.fr/inria-00602972
%2 INFO:INFO_TI
%T Validation of surface velocity estimated from satellite images
%A Huot, Etienne
%A Herlin, Isabelle
%A Mercier, Nicolas
%A Korotaev, Gennady K.
%A Plotnikov, Evgeny
%+ CLIME - INRIA Rocquencourt , Centre d'Enseignement et de Recherche en Environnement Atmosphérique - CEREA , Marine Hydrophysical Institute - MHI
%X This report concerns the validation of surface velocity estimated from satellite images. The estimation is obtained with a dynamic model based on shallow-water equations. We first compare the stationary assumption to the shallow-water heuristics to justify our choice. Second, we quantify the quality of the estimation by measuring the misfit between the model output and the altimetry measures. Experiments are achieved on Sea Surface Temperature data acquired by the NOAA/AVHRR satellites over the Black Sea. The altimetry measures are obtained by two radar sensors: Envisat and GFO. The good adequacy between the shallow-water output and the altimetry data validates our motion estimation approach.
%2 Ce rapport de recherche concerne la validation de l'estimation de la vitesse de surface à partir d'images satellite. Cette estimation est effectuée avec un modèle de la dynamique, basé sur les équations shallow-water. Nous comparons d'abord l'hypothèse de stationnarité aux équations shallow-water afin de justifier notre choix. Puis, nous quantifions la qualité des estimations en mesurant l'écart entre la sortie du modèle et les mesures d'altimétrie. Les expérimentations sont effectuées en utilisant des données de température de surface, acquises au-dessus de la Mer Noire avec les satellites NOAA/AVHRR. Les mesures altimétriques proviennent de deux capteurs radar : Envisat et GFO. La bonne adéquation entre la sortie du modèle shallow-water et les données altimétriques valide notre approche d'estimation du mouvement.
%G Anglais
%2 Rapport de recherche
%P 17
%8 2011-06-23
%K data assimilation; motion estimation; shallow-water
%Z RR-7658

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