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  4. Application of remote sensing for the optimization of in-situ sampling for monitoring of phytoplankton abundance in a large lake
 
research article

Application of remote sensing for the optimization of in-situ sampling for monitoring of phytoplankton abundance in a large lake

Kiefer, Isabel  
•
Odermatt, Daniel
•
Anneville, Orlane
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2015
Science of The Total Environment

Directives and legislations worldwide aim at representatively and continuously monitoring the ecological status of surface waters. In many countries, chlorophyll-a concentrations (CHL) are used as an indicator of phytoplankton abundance and the trophic level of lakes or reservoirs. In-situ measurements of water quality parameters, however, are time-consuming, costly and of unknown but naturally limited spatial representativeness. In addition, the variety of the involved lab and field measurement methods and instruments complicates comparability and reproducibility. Taking Lake Geneva as an example, 1234 satellite images from the MERIS sensor on the Envisat satellite from 2002 to 2012 are used to quantify the spatial and temporal variations of CHL concentrations. Based on histograms of spring, summer and autumn CHL estimates, the spatial representativeness of two existing in-situ measurement locations is analysed. Appropriate sampling frequencies to capture CHL peaks are examined by means of statistical resampling. The approaches proposed allow determining optimal in-situ sampling locations and frequencies. Their generic nature allows for adaptation to other lakes, especially to establish new survey programmes where no previous records are available. (C) 2015 Elsevier B.V. All rights reserved.

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Type
research article
DOI
10.1016/j.scitotenv.2015.05.011
Web of Science ID

WOS:000356225300053

Author(s)
Kiefer, Isabel  
Odermatt, Daniel
Anneville, Orlane
Wüest, Alfred  
Bouffard, Damien  
Date Issued

2015

Publisher

Elsevier

Published in
Science of The Total Environment
Volume

527-528

Start page

493

End page

506

Subjects

Remote sensing

•

MERIS

•

Chlorophyll-a

•

Water quality monitoring

•

Lake Geneva

•

Phytoplankton

•

Spatial heterogeneity

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
APHYS  
Available on Infoscience
June 15, 2015
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/115111
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