MERIS observations of phytoplankton blooms in a stratified eutrophic lake

The use of spaceborne medium resolution imaging spectrometers with neural network algorithms has proven a large potential for application with optically complex inland waters. We make use of this approach to investigate the bio-physical dynamics in a eutrophic lake, applying three different neural networks to a dataset of 16 images acquired in June through August 2011. Concurrent in-situ data are measured by means of automatically deployed instruments from a moored platform, resolving the vertical distribution of various parameters at sub-daily temporal resolution. Phytoplankton blooms occur in different stratification layers, allowing the assessment of their influence on remote sensing estimates. A qualitative synopsis of the biophysical processes in the lake is given, but parameterization with in-situ attenuation profiles and accurate IOP estimates is needed to significantly enhance quantitative matchup comparisons. Recommendations on the combination of in-situ and satellite measurements are therefore given as an outlook. (C) 2012 Elsevier Inc. All rights reserved.


Published in:
Remote Sensing Of Environment, 126, 232-239
Year:
2012
Publisher:
New York, Elsevier Science Inc
ISSN:
0034-4257
Keywords:
Laboratories:




 Record created 2013-06-10, last modified 2018-03-17


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