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Inferring missing data in satellite chlorophyll maps using turbulent cascading

AutorPottier, Claire; Turiel, Antonio ; Garçon, Véronique
Palabras claveOceanic phytoplankton
Satellite ocean color images
Missing data
Turbulence cascading
Wavelet representation
Fecha de publicación11-sep-2008
CitaciónRemote Sensing of Environment 112(12): 4242-4260 (2008)
ResumenOceanic turbulent flows develop complicated patterns, with eddies, filaments and shear currents. Although usually referred as chaotic, their inner organization is strongly hierarchical: turbulent flows develop cascades, which transfer properties such as energy or scalar density from larger to smaller scales. In this work, we present a novel algorithm based on the cascade and able to fill data gaps in satellite images (particularly, chlorophyll concentration maps). The first step is to show that cascade processes for chlorophyll-a concentration images take a simple, explicit form when an appropriate wavelet (here Battle–Lemarié of order 3) representation is used. A reconstruction algorithm exploiting the cascade structure is then given with a detailed description. We discuss the validity and quality of this algorithm when applied to SeaWiFS and MODIS-Aqua ocean color images. An application to merging data from multiple satellite missions is presented together with a demonstration of the benefit of this algorithm over two other merging methods.
Descripción19 pages, 21 figures, 1 table.-- Printed version published Dec 15, 2008.-- Full-text version available Open Access at: http://www.icm.csic.es/files/oce/almacen/papers/AR-2008-22.pdf
Versión del editorhttp://dx.doi.org/10.1016/j.rse.2008.07.010
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