Abstract

In winter 2008-2009 Lake Occhito, a strategic multipleuses(irrigation and drinking supply) reservoir located inSouth Italy, was affected by an extraordinary Planktothrixrubescens bloom. P. rubescens is a filamentous potentiallytoxic cyanobacterium which has recently colonized manyenvironments in Europe and Italy. A number of studies iscurrently available on the use of remote sensing techniquesto monitor different fresh water cyanobacteria species, usingthe common biomarker pigment phycocyanin. By contrastno specific applications are available on the remote sensingmonitoring of P. rubescens, whose optical response ismarkedly influenced by the presence of the phycoerythrinaccessory pigment. In this paper we present a simple bandratio algorithm based on Water Leaving Reflectances fromMERIS data, atmospherically corrected using the AerosolOptical Thickness retrieved by MODIS data, to detect P.rubescens blooms. The high accuracy in AOT data, providedby MOD09 surface reflectance product, at 1km spatialresolution, allowed obtaining a good correlation (R2=0.75)between the WLR and the P. rubescens chlorophyll-aconcentrations measured in the field, through multiplestations fluorometric profiles. The combined use of MERISand MODIS data resulted thus in a very useful tool tomonitor such a phenomenon, even in areas where

Autore Pugliese

• Matarrese Raffaella

Tutti gli autori

• R. Matarrese; N. Guyennon; D. Copetti

Titolo volume/Rivista

Non Disponibile

Anno di pubblicazione

2012

ISSN

Non Disponibile

ISBN

978-88-7431-668-7

Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

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Numero di citazioni Scopus

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Ultimo Aggiornamento Citazioni

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Settori ERC

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Codici ASJC

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