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Development of a remote sensing algorithm for Cyanobacterial Phycocyanin pigment in the Baltic Sea using Neural Network approach

Riha, Stefan and Krawczyk, Harald (2011) Development of a remote sensing algorithm for Cyanobacterial Phycocyanin pigment in the Baltic Sea using Neural Network approach. In: Proceedings of SPIE , 8175 (PAPER NUMBER: 8175-4 ), pp. 1-7. SPIE. SPIE Conference on Remote Sensing 2011, 19-22 September 2011, Prague, Czech Republic. ISBN 9780819488022. ISSN 0277-786X

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Abstract

Water quality monitoring in the Baltic Sea is of high ecological importance for all its neighbouring countries. Satellite remote sensing allows frequent observations of wide areas of the Baltic Sea with special focus on its two seasonal algae blooms. For a better monitoring of the Cyanobacteria dominated, summer blooms, an algorithm is needed which takes into account the special optical properties of these blue-green algae. Chlorophyll-a standard algorithms usually fail in a correct recognition of these occurrences. To significantly improve the forecast regarding the Cyanobacteria blooms, the Marine Remote Sensing group of DLR has started the development of a model based inversion algorithm that includes a four component bio-optical water model for Case2 waters, which extends the commonly calculated parameter set Chlorophyll, Suspended Matter and Gelbstoff with an additional parameter for the estimation of Phycocyanin absorption. The inversion of satellite remote sensing data is based on an artificial Neural Network technique. The specially developed Neural Network is trained with a comprehensive dataset of simulated reflectance values according to the wavelengths of MERIS VIS/NIR bands. The Poster will demonstrate the theoretical basis and development of the algorithm together with first results from MERIS scenes in the Baltic Sea. Furthermore it will compare the Phycocyanin-algorithm to the standard DLR PCI algorithm based on the related inversion technique “Principal Component Analysis” and discusses the different inversion approaches.

Document Type:Conference or Workshop Item (Speech)
Title:Development of a remote sensing algorithm for Cyanobacterial Phycocyanin pigment in the Baltic Sea using Neural Network approach
Authors:
AuthorsInstitution or Email of Authors
Riha, StefanUNSPECIFIED
Krawczyk, HaraldUNSPECIFIED
Date:21 October 2011
Journal or Publication Title:Proceedings of SPIE
Volume:8175
Page Range:pp. 1-7
Editors:
EditorsEmail
Bostater,Jr., Charles R.Florida Inst. of Technology, USA
Mertikas, Stelios P.Technical Univ of Crece, Greece
Neyt, XavierRoyal Belgium Military Academy, Belgium
Veles-Reyes, MiguelUni de Puerto Rico Mayagüez, USA
Publisher:SPIE
Series Name:SPIE Remote Sensing
ISSN:0277-786X
ISBN:9780819488022
Status:Published
Keywords:Remote Sensing, Cyanobacteria, MERIS, Neural Network
Event Title:SPIE Conference on Remote Sensing 2011
Event Location:Prague, Czech Republic
Event Type:international Conference
Event Dates:19-22 September 2011
Organizer:SPIE
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Entwicklung und Erprobung von Verfahren zur Gewässerfernerkundung (old)
Location: Berlin-Adlershof
Institutes and Institutions:Remote Sensing Technology Institute > Marine Remote Sensing
Deposited By: Bärbel Bolowski
Deposited On:01 Dec 2011 15:32
Last Modified:01 Dec 2011 15:32

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