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Remote Sensing of Coastal Water Quality in the Baltic Sea Using MERIS

Neumann, Andreas and Krawczyk, Harald and Riha, Stefan (2010) Remote Sensing of Coastal Water Quality in the Baltic Sea Using MERIS. In: Advances in Earth Observation of Global Change Springer. pp. 55-68. ISBN 078-90-481-9084-3. ISSN e-ISBN 978-90-481-9085-0

Full text not available from this repository.

Abstract

Remote sensing of water quality parameters using spaceborne imaging spectrome-ters has become a widely spread technology during the last years. Especially MERIS on ESA’s ENVISAT with its 250m spatial resolution provides new oppor-tunities for applications in coastal and inland waters. To make use of the informa-tion content of spectrally highly resolved data new retrieval algorithms had to be developed based on bio-optical and radiative transfer modeling and inversion by the use of principal component analysis. The paper will review the approaches and algorithms developed at DLR for research and operational applications to assess and monitor water quality in case-2 waters (coastal and inland waters). Special fo-cus will be on yellow substance dominated waters and exceptional algal blooms in the Baltic Sea. In addition to the methodological aspect the processing system and infrastructure to provide daily water quality services in the frames of GMES will be introduced.

Item URL in elib:https://elib.dlr.de/65939/
Document Type:Contribution to a Collection
Additional Information:DOI: 10.1007/978-90-481-9085-0
Title:Remote Sensing of Coastal Water Quality in the Baltic Sea Using MERIS
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Neumann, AndreasUNSPECIFIEDUNSPECIFIED
Krawczyk, HaraldUNSPECIFIEDUNSPECIFIED
Riha, StefanUNSPECIFIEDUNSPECIFIED
Date:2010
Journal or Publication Title:Advances in Earth Observation of Global Change
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 55-68
Editors:
EditorsEmail
Chuvieco, EmilioUni Alcala de Henares, Spain
Li, JonathanUni of Waterloee, Canada
Yang, XiaojunFlorida State Uni, USA
Publisher:Springer
ISSN:e-ISBN 978-90-481-9085-0
ISBN:078-90-481-9084-3
Status:Published
Keywords:Case-2 water algorithms, model-based inversion, MERIS, Baltic Sea, GMES Water Quality
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:INVALID USER
Deposited On:29 Oct 2010 07:59
Last Modified:29 Oct 2010 07:59

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