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Proceedings Paper

Remote sensing of harmful algal events in optically complex waters using regionally specific neural network-based algorithms for MERIS data
Author(s): L. Gonzalez Vilas; M. Castro Fernandez; E. Spyrakos; J. Torres Palenzuela
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Paper Abstract

In typical case 2 waters an accurate remote sensing retrieval of chlorophyll a (chla) is still challenging. There is a widespread understanding that universally applicable water constituent retrieval algorithms are currently not feasible, shifting the research focus to regionally specific implementations of powerful inversion methods. This study takes advantage of regionally specific chlorophyll a (chla) algorithms, which were developed by the authors of this abstract in previous works, and the characteristics of Medium Resolution Imaging Spectrometer (MERIS) in order to study harmful algal events in the optically complex waters of the Galician Rias (NW). Harmful algal events are a frequent phenomenon in this area with direct and indirect impacts to the mussel production that constitute a very important economic activity for the local community. More than 240 106 kg of mussel per year are produced in these highly primary productive upwelling systems. A MERIS archive from nine years (2003-2012) was analysed using regionally specific chla algorithms. The latter were developed based on Multilayer perceptron (MLP) artificial neural networks and fuzzy c-mean clustering techniques (FCM). FCM specifies zones (based on water leaving reflectances) where the retrieval algorithms normally provide more reliable results. Monthly chla anomalies and other statistics were calculated for the nine years MERIS archive. These results were then related to upwelling indices and other associated measurements to determine the driver forces for specific phytoplankton blooms. The distribution and changes of chla are also discussed.

Paper Details

Date Published: 5 August 2013
PDF: 10 pages
Proc. SPIE 8795, First International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2013), 87950O (5 August 2013); doi: 10.1117/12.2027591
Show Author Affiliations
L. Gonzalez Vilas, Univ. de Vigo (Spain)
M. Castro Fernandez, Univ. de Vigo (Spain)
E. Spyrakos, Univ. de Vigo (Spain)
J. Torres Palenzuela, Univ. de Vigo (Spain)


Published in SPIE Proceedings Vol. 8795:
First International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2013)
Diofantos G. Hadjimitsis; Kyriacos Themistocleous; Silas Michaelides; George Papadavid, Editor(s)

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