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Water quality monitoring for Lake Constance with a physically based algorithm for MERIS data


Odermatt, D; Heege, T; Nieke, T; Kneubühler, M; Itten, K I (2008). Water quality monitoring for Lake Constance with a physically based algorithm for MERIS data. Sensors, 8(8):4582-4599.

Abstract

A physically based algorithm is used for automatic processing of MERIS level 1B full resolution data. The algorithm is originally used with input variables for optimization with different sensors (i.e. channel recalibration and weighting), aquatic regions (i.e. specific inherent optical properties) or atmospheric conditions (i.e. aerosol models). For operational use, however, a lake-specific parameterization is required, representing an approximation of the spatio-temporal variation in atmospheric and hydrooptic conditions, and accounting for sensor properties. The algorithm performs atmospheric correction with a LUT for at-sensor radiance, and a downhill simplex inversion of chl-a, sm and y from subsurface irradiance reflectance. These outputs are enhanced by a selective filter, which makes use of the retrieval residuals. Regular chl-a sampling measurements by the Lake’s protection authority coinciding with MERIS acquisitions were used for parameterization, training and validation.

A physically based algorithm is used for automatic processing of MERIS level 1B full resolution data. The algorithm is originally used with input variables for optimization with different sensors (i.e. channel recalibration and weighting), aquatic regions (i.e. specific inherent optical properties) or atmospheric conditions (i.e. aerosol models). For operational use, however, a lake-specific parameterization is required, representing an approximation of the spatio-temporal variation in atmospheric and hydrooptic conditions, and accounting for sensor properties. The algorithm performs atmospheric correction with a LUT for at-sensor radiance, and a downhill simplex inversion of chl-a, sm and y from subsurface irradiance reflectance. These outputs are enhanced by a selective filter, which makes use of the retrieval residuals. Regular chl-a sampling measurements by the Lake’s protection authority coinciding with MERIS acquisitions were used for parameterization, training and validation.

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21 citations in Web of Science®
23 citations in Scopus®
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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Uncontrolled Keywords:remote sensing, inland water, chlorophyll, monitoring, operationalization
Language:English
Date:5 August 2008
Deposited On:20 Oct 2008 13:15
Last Modified:17 Aug 2016 07:03
Publisher:MDPI Publishing
ISSN:1424-8220
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:10.3390/s8084582
Related URLs:http://www.mdpi.org/sensors/ (Publisher)
Permanent URL: http://doi.org/10.5167/uzh-4013

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