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  4. Seabed fluid flow-related processes: evidence and quantification based on high-resolution imaging techniques and GIS analyses
 
Zitierlink URN
https://nbn-resolving.de/urn:nbn:de:gbv:46-00103043-13

Seabed fluid flow-related processes: evidence and quantification based on high-resolution imaging techniques and GIS analyses

Veröffentlichungsdatum
2013-02-08
Autoren
Marcon, Yann  
Betreuer
Bohrmann, Gerhard  
Gutachter
Kopf, Achim  
Zusammenfassung
This work provides new insights on different aspects of seabed fluid flow processes based on seafloor observations. The methods used entirely rely on ROV-based high-resolution imaging and mapping techniques. Optical data are used to produce visual maps of the seafloor, in the form of geo-referenced video- and photo-mosaics, whereas acoustic techniques allow mapping the micro-bathymetry of the seabed, as well as the signal reflectivity of the sediment surface and of the water column. This work presents three case studies, about two sites of seabed fluid flow: the Menez Gwen hydrothermal vent on the MAR and the REGAB pockmark in the Lower Congo Basin. On the technical side, some of the high-resolution techniques used in this thesis are not commonly used by the marine scientific community. This is particularly the case for large-area photo-mosaics. Although the interest in mosaicking is growing, there are still no tools freely and readily available to scientists to routinely construct large-area photo-mosaics. Therefore, this work presents a MATLAB toolbox for large-area photo-mosaicking (LAPM toolbox), which was developed as part of this thesis.
Schlagwörter
mosaic

; 

photomosaic

; 

bathymetry

; 

backscatter

; 

GIS

; 

cold seeps

; 

pockmark

; 

hydrothermal vent

; 

Regab

; 

Menez Gwen

; 

Bathymodiolus

; 

methane

; 

sulfide

; 

flux

; 

consumption

; 

fluid flow
Institution
Universität Bremen  
Fachbereich
Fachbereich 05: Geowissenschaften (FB 05)  
Dokumenttyp
Dissertation
Zweitveröffentlichung
Nein
Sprache
Englisch
Dateien
Lade...
Vorschaubild
Name

00103043-1.pdf

Size

15.25 MB

Format

Adobe PDF

Checksum

(MD5):0aa620c70870d7ae604bf3f12ec5fc9d

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