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Measurement of ocean waves velocity fields from a single spot-5 dataset using correlation between panchromatic and multispectral bands

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HAL Id: hal-00697335

https://hal-brgm.archives-ouvertes.fr/hal-00697335

Submitted on 15 May 2012

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Measurement of ocean waves velocity fields from a single

spot-5 dataset using correlation between panchromatic

and multispectral bands

Marcello de Michele, Sebastien Leprince, Jérôme Thiebot, Daniel Raucoules,

Renaud Binet

To cite this version:

Marcello de Michele, Sebastien Leprince, Jérôme Thiebot, Daniel Raucoules, Renaud Binet. Measure-ment of ocean waves velocity fields from a single spot-5 dataset using correlation between panchromatic and multispectral bands. IEEE International Geoscience and Remote Sensing Symposium : IGARSS ’12 : Remote Sensing for a Dynamic Earth, Jul 2012, München, Germany. paper number #1681. �hal-00697335�

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MEASUREMENT OF OCEAN WAVES VELOCITY FIELDS FROM A

SINGLE SPOT-5 DATASET USING CORRELATION BETWEEN

PANCHROMATIC AND MULTISPECTRAL BANDS.

Marcello de Michele

1

, Sébastien Leprince

2

, Jérôme Thiébot

1

, Daniel Raucoules

1

, and Renaud

Binet

3

1

Bureau de Recherches Géologiques et Minières (BRGM), Service Risques Naturels, 3 Av. C. Guillemin, 45000, Orléans, France

2

California Institute of Technology, Division of Geological and Planetary Sciences, Pasadena, California 91125, USA

3

Commissariat à l'Energie Atomique et aux Energies Alternatives, Siège-Saclay, 75000, Paris, France

1. ABSTRACT

Ocean waves represent an important oceanographic phenomenon for manifold reasons. For instance, they strongly influence the most superficial water layer where the exchanges and heat transfer between the ocean and the atmosphere take place. Moreover, the ocean swell highly affects coastal areas, being one of the principal agents responsible for coastal erosion. Furthermore, their propagation pattern being affected by shallow bathymetry, the understanding of the local ocean waves’ velocity field and its temporal variation can provide invaluable information about the ocean floor topography at shallow depth. Therefore, measuring the different parameters that characterize ocean waves’ velocity field is of primarily importance. We present a method based on space-borne optical imagery from the SPOT-5 satellite to directly measure the ocean waves’ velocity field.

The panchromatic and multispectral scenes acquired by SPOT 5 the same day on the same area are not strictly superimposable due to the different locations of the CCDs in the focal plane of the instrument. Such a difference corresponds to a time shift of about 2s between the two images. Here, we propose a method that exploits this temporal lag between the panchromatic and multispectral scenes to measure the ocean surface velocity field. Differences of ocean surface features’ locations in the two scenes are identified and quantified using sub-pixel image correlation techniques (COSI-corr software, [1]). The measured offsets therefore represent the displacements of the corresponding ocean surface features during the 2s time span and can be interpreted as a wave velocity field.

As application test site, we selected an area offshore La Reunion Island. In Figure 1, we compared - upon certain assumptions: in particular the possibility of separating the swell from the wind generated waves by filtering in the Fourier domain - the results against a swell propagation model (SWAN, [2]).

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The con be imme precision Figure 1: filtered) co filtered SP vectors: ve swell velo [1]  S. Lep Correlation Sensing , 4 [2] R. Ris, Res., 104( We thank inputs to t Keck Insti sistency betw ediately exte n on the resu Waves velocity ompared to SW POT-5 data. Th elocity vectors city field. Ligh

prince, S. Barbo n of Satellite Im 45, 6-1,pp 1529 , N. Booij, L. H C4), 7667-7681 the Kalideos t this study. MdM itute for Space S

ween the ob ended to oth ults) push-bro y field retrieve WAN modeled ey represent the obtained from ht blue vectors: v ot, F. Ayoub, J.-mages, Applicat 9-1558, 2007 Holthuijsen. A t 1, 1999 team (CNES) f M, JT, DR thank Study and by th servation an her (in part oom sensors. ed from the SP results. Orange e velocity field COSI-corr ana velocity vectors 2. R -P. Avouac, Au tion to Ground third-generation 3. AKNO for providing th k BRGM resea he Gordon and B nd the model ticular, highe . POT-5 dataset e vectors: veloc d that result from alysis on filtered s obtained from REFERENC utomatic and Pr Deformation M n wave model f OWLEDGE he SPOT5 data arch direction fo Betty Moore Fo confirms th er resolution (both filtered f city vectors ob m both the swe d SPOT-5 data m SWAN swell

CES

ecise Orthorect Measurements. I

for coastal regio

EMENTS

aset. We are th or supporting th oundation.

hat the metho n sensors ab

from the wind tained from CO ll and the wind . These vectors

analysis.

tification, Coreg IEEE T. Geosci

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ankful to Nadia he study. SL wa od is reliable ble to provi generated wav OSI-corr analy d waves motion s reasonably cor gistration, and S ience and Remo

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