This paper presents the ecology and policy basis as well as the technology solution for a Martera funded project (ARIM). The project develops platforms for bentho-pelagic monitoring using an arrangement of crawler and stationary platforms. A combination of visual and acoustic sensing along with standard oceanographic sensors supports advanced and continues spatial-temporal monitoring. Just as important is the automatic processing techniques under development that will allow habitat and species (or categories of species) to be automatically recognized and reported during the mission and thus support science and monitoring services without backing from expensive ship time. First version develops autonomy under controlled conditions with a tethered crawler exploring the neighbourhood of a cabled stationary instrumented garage. Our vision is that fuel cell technology will enable us to use the system for self-sustained long-term autonomous operations for science as well as for industry purposes.

A flexible autonomous bottom resident infrastructure for bentho-pelagic monitoring

Marini S;
2019

Abstract

This paper presents the ecology and policy basis as well as the technology solution for a Martera funded project (ARIM). The project develops platforms for bentho-pelagic monitoring using an arrangement of crawler and stationary platforms. A combination of visual and acoustic sensing along with standard oceanographic sensors supports advanced and continues spatial-temporal monitoring. Just as important is the automatic processing techniques under development that will allow habitat and species (or categories of species) to be automatically recognized and reported during the mission and thus support science and monitoring services without backing from expensive ship time. First version develops autonomy under controlled conditions with a tethered crawler exploring the neighbourhood of a cabled stationary instrumented garage. Our vision is that fuel cell technology will enable us to use the system for self-sustained long-term autonomous operations for science as well as for industry purposes.
2019
Inglese
2019 IMEKO TC19 International Workshop on Metrology for the Sea: Learning to Measure Sea Health Parameters, MetroSea 2019
113
118
9789299008423
http://www.scopus.com/record/display.url?eid=2-s2.0-85081065481&origin=inward
3-5/10/2019
Genova
automatic processing
monitoring services
fuel cell
oceanographic sensors
Observation system
1
none
Wehde, H.; Thomsen, L.; Pfannkuche, O.; Albiez, J.; Flögel, S.; Godø, O. R.; Torkelsen, T.; Valencia, J.; Rodriguez, E.; Lopez, V.; Marini, S.; Grimsb...espandi
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/407461
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