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Remote Sensing of Cyanobacteria and Green Algae in the Baltic Sea

Riha , Stefan and Krawczyk, Harald (2013) Remote Sensing of Cyanobacteria and Green Algae in the Baltic Sea. In: Proceedings of ASPRS 2013 Annual Conference, pp. 1-8. ASPRS. ASPRS 2013 Annual Conference, 24.-28. März 2013, Baltimore, Maryland, USA.

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Official URL: http://www.asprs.org/Conferences/Baltimore-2013/blog

Abstract

Eutrophication and the subsequent effects are one of the major ecological and economical problems in the Baltic Sea region. Two seasonal blooms, one dominated by green algae in spring and one dominated by blue-green algae in summer, form the phytoplankton cycle in the biggest brackish sea in the world. Anthropogenic nutrient input amplifies the phytoplankton growth. Cyanobacteria cultures dominating the summer blooms are not only capable of fixing atmospheric nitrogen and thereby play an important role in the nitrogen cycle, but are also potentially toxic. Dependent on a high water temperature, cyanobacteria also have a potential use as bio-indicator for climate change. Therefor, monitoring the occurrence and extent of different phytoplankton species is of high importance for understanding the ecosystem and human influence on it, as well as to examine possibilities of early warning systems. With its high CDOM concentrations, the Baltic Sea is a region with very specific optical properties, which demand for special regional algorithms, that take these properties into account. The German Aerospace Center (DLR) in Berlin has developed a new model-based inversion algorithm using neural network technique to derive four important water constituent parameters from MERIS satellite scenes over the Baltic Sea. Chlorophyll concentration as a proxy for green algae, phycocyanin absorption as a proxy for cyanobacteria, CDOM absorption and sediment scattering as further important parameters for the assessment of water quality. The algorithm shows good compliance with in-situ measured data from ships-of-opportunity, monitoring network data and a field campaign. Using atmospherically corrected MERIS reduced or full resolution scenes, an immediate calculation of analysis maps is possible by the implementation in an existing software environment.

Item URL in elib:https://elib.dlr.de/70918/
Document Type:Conference or Workshop Item (Speech)
Additional Information:© 2013, American Society forPhotogrammetry and Remote Sensing, ASPRS 2013 Annual Conference.
Title:Remote Sensing of Cyanobacteria and Green Algae in the Baltic Sea
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Riha , Stefanstefan.riha (at) dlr.deUNSPECIFIED
Krawczyk, Haraldharald.krawczyk (at) dlr.deUNSPECIFIED
Date:March 2013
Journal or Publication Title:Proceedings of ASPRS 2013 Annual Conference
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-8
Editors:
EditorsEmail
UNSPECIFIEDASPRS Org.
Publisher:ASPRS
Status:Published
Keywords:remote sensing, phytoplankton, cyanobacteria, eutrophication, Baltic Sea
Event Title:ASPRS 2013 Annual Conference
Event Location:Baltimore, Maryland, USA
Event Type:international Conference
Event Dates:24.-28. März 2013
Organizer:ASPRS Org.
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Entwicklung und Erprobung von Verfahren zur Gewässerfernerkundung (old)
Location: Berlin-Adlershof
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By:INVALID USER
Deposited On:12 Apr 2013 13:50
Last Modified:31 Jul 2019 19:32

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