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Sensors 2008, 8(8), 4582-4599; doi:10.3390/s8084582

Water Quality Monitoring for Lake Constance with a Physically Based Algorithm for MERIS Data

1,* , 2, 1,3, 1 and 1
1 Remote Sensing Laboratories (RSL), UZH, Winterthurerstr. 190, CH-8050 Zurich, Switzerland 2 EOMAP GmbH & Co. KG, Sonderflughafen Oberpfaffenhofen, D-82205 Gilching, Germany 3 ESA/ESTEC, 2000AG Noordwijk, The Netherlands
* Author to whom correspondence should be addressed.
Received: 11 June 2008 / Revised: 30 July 2008 / Accepted: 31 July 2008 / Published: 5 August 2008
(This article belongs to the Special Issue Ocean Remote Sensing)
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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.
Keywords: remote sensing; inland water; chlorophyll; monitoring; operationalization remote sensing; inland water; chlorophyll; monitoring; operationalization
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Odermatt, D.; Heege, T.; Nieke, J.; Kneubühler, M.; Itten, K. Water Quality Monitoring for Lake Constance with a Physically Based Algorithm for MERIS Data. Sensors 2008, 8, 4582-4599.

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