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Problems of multivariate inversion for complex cas-2 waters on the example of MERIS-data over the Baltic Sea

Krawczyk, Harald und Neumann, Andreas und Walzel, Thomas und Gerasch, Birgit (2006) Problems of multivariate inversion for complex cas-2 waters on the example of MERIS-data over the Baltic Sea. In: Proceedings of Ocean Optics XVIII, on CD-ROM (60179), Seiten 1-12. Ocean Optics XVIII, 2006-10-09 - 2006-10-13, Montreal, Quebec (CA).

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The use of remote sensing over water regions has the advantage getting frequent information about large areas, and therefore reducing the need of cost intensive ship campaigns. Nowadays it is an important contribution to the regular assessment of the ecological state of our environment. Remote sensing of water areas in the optical range of the electromagnetic spectrum is possible due to the absorption window of the atmospheric and water molecules and the specific scattering and absorption properties of the water constituents. In the open ocean one finds one varying component mainly defining the state of the water, the chlorophyll concentration. Due to the one-component-system the interpretation of the measured spectrum is comparatively simple. After the removal of atmospheric effects color ratios or similar indices can be applied to estimate the chlorophyll concentration with good accuracy. In optically more complex waters, e.g. coastal zones, characterized by more than one component, therefore more complex interpretation algorithms must be applied. The problem leads to a multivariate estimation of the concentration vector from the multispectral measurement. Thus case-2 waters are a challenge for ocean color remote sensing for higher spectral resolution measurements and multivariate inversion techniques. The presentation will focus on model based inversion algorithms and discuss problems related to them, the choice of the specific optical model, radiative transfer calculation and inversion technique. Neural networks are a widespread method for the multispectral interpretation. The presentation will concentrate on an alternate but closely related method, using principal component transformation as a main tool for information extraction. It will be shown the relation to neural networks with its advantages, disadvantages and potential. Results will be demonstrated together with the specific optical model on the example of MERIS-data over the Baltic Sea.

Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Problems of multivariate inversion for complex cas-2 waters on the example of MERIS-data over the Baltic Sea
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iD
Krawczyk, Haraldharald.krawczyk@dlr.deNICHT SPEZIFIZIERT
Walzel, Thomasthomas.walzel@dlr.deNICHT SPEZIFIZIERT
Gerasch, Birgitbirgit.gerasch@dlr.deNICHT SPEZIFIZIERT
Erschienen in:Proceedings of Ocean Optics XVIII
Referierte Publikation:Nein
In Open Access:Nein
In ISI Web of Science:Nein
Band:on CD-ROM
Seitenbereich:Seiten 1-12
Stichwörter:case-2 waters, MERIS data
Veranstaltungstitel:Ocean Optics XVIII
Veranstaltungsort:Montreal, Quebec (CA)
Veranstaltungsart:internationale Konferenz
Veranstaltungsdatum:2006-10-09 - 2006-10-13
Veranstalter :IOCCG
HGF - Forschungsbereich:Verkehr und Weltraum (alt)
HGF - Programm:Weltraum (alt)
HGF - Programmthema:W EO - Erdbeobachtung
DLR - Schwerpunkt:Weltraum
DLR - Forschungsgebiet:W EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):W - Vorhaben Entwicklung und Erprobung von Verfahren zur Gewässerfernerkundung (alt)
Standort: Berlin-Adlershof
Institute & Einrichtungen:Institut für Methodik der Fernerkundung > Gewässerfernerkundung
Hinterlegt am:07 Nov 2006
Letzte Änderung:05 Sep 2014 14:16

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