Using machine learning on CTD data to assess the natural hazard of active submarine vent fields: the case of Kolumbo near Santorini Island.

Tools

Dura, A., Mertzimekis, T. J., Nomikou, P., Bakalis, E., Hannington, Mark D. and Petersen, Sven (2019) Using machine learning on CTD data to assess the natural hazard of active submarine vent fields: the case of Kolumbo near Santorini Island. [Poster] In: EGU General Assembly 2019. , 08.-13.04.2019, Vienna, Austria .

Full text not available from this repository.

Document Type: Conference or Workshop Item (Poster)
Research affiliation: OceanRep > GEOMAR > FB4 Dynamics of the Ocean Floor > FB4-MUHS Magmatic and Hydrothermal Systems > FB4-MUHS Marine Mineralische Rohstoffe
OceanRep > GEOMAR > FB4 Dynamics of the Ocean Floor > FB4-MUHS Magmatic and Hydrothermal Systems
Date Deposited: 25 Apr 2019 12:35
Last Modified: 25 Apr 2019 12:35
URI: https://oceanrep.geomar.de/id/eprint/46451

Actions (login required)

View Item View Item