Understanding Mn-nodule distribution and evaluation of related deep-sea mining impacts using AUV-based hydroacoustic and optical data

In this study, ship- and autonomous underwater vehicle (AUV)-based multibeam data from the German ferromanganese-nodule (Mn-nodule) license area in the Clarion–Clipperton Zone (CCZ; eastern Pacific) are linked to ground-truth data from optical imaging. Photographs obtained by an AUV enable semi-quan...

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Veröffentlicht in:	Biogeosciences 2018-04, Vol.15 (8), p.2525-2549
Hauptverfasser:	Peukert, Anne, Schoening, Timm, Alevizos, Evangelos, Köser, Kevin, Kwasnitschka, Tom, Greinert, Jens
Format:	Artikel
Sprache:	eng
Schlagworte:	Autonomous underwater vehicles Bathymeters Bathymetry Benthic environment Benthos Blanketing Bottom currents Bottom water Correlation Data Data processing Deep sea mining Deep water Deployment Distribution Disturbance Environmental aspects Environmental impact analysis Equipment and supplies Evaluation Ferromanganese Ferromanganese nodules Habitat loss Heterogeneity High resolution Image processing Imagery Impact analysis Mapping Measuring instruments Methods Mining Ocean floor Offshore mining Remotely piloted vehicles Resolution Sea currents Sea nodules Sediment Sediments Ships Slope Spatial discrimination Spatial resolution Spatial variations Submersibles Substrates Suspended sediments Terrain Thickness Underwater vehicles Water currents
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Zusammenfassung:	In this study, ship- and autonomous underwater vehicle (AUV)-based multibeam data from the German ferromanganese-nodule (Mn-nodule) license area in the Clarion–Clipperton Zone (CCZ; eastern Pacific) are linked to ground-truth data from optical imaging. Photographs obtained by an AUV enable semi-quantitative assessments of nodule coverage at a spatial resolution in the range of meters. Together with high-resolution AUV bathymetry, this revealed a correlation of small-scale terrain variations (
ISSN:	1726-4189 1726-4170 1726-4189
DOI:	10.5194/bg-15-2525-2018