Cost-effective technologies to study the arctic ocean environment†
The Arctic region is known to be severely affected by climate change, with evident alterations in both physical and biological processes. Monitoring the Arctic Ocean ecosystem is key to understanding the impact of natural and human-induced change on the environment. Large data sets are required to m...
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Online Access: | https://hdl.handle.net/11567/989959 https://doi.org/10.3390/s18072257 |
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ftunivgenova:oai:iris.unige.it:11567/989959 2024-04-14T08:05:58+00:00 Cost-effective technologies to study the arctic ocean environment† Piermattei V. Madonia A. Bonamano S. Martellucci R. Bruzzone G. Ferretti R. Odetti A. Azzaro M. Zappala G. Marcelli M. Piermattei, V. Madonia, A. Bonamano, S. Martellucci, R. Bruzzone, G. Ferretti, R. Odetti, A. Azzaro, M. Zappala, G. Marcelli, M. 2018 ELETTRONICO https://hdl.handle.net/11567/989959 https://doi.org/10.3390/s18072257 eng eng MDPI AG place:;Postfach info:eu-repo/semantics/altIdentifier/pmid/30011806 info:eu-repo/semantics/altIdentifier/wos/WOS:000441334300279 volume:18 firstpage:2257 lastpage:2267 numberofpages:11 journal:SENSORS https://hdl.handle.net/11567/989959 doi:10.3390/s18072257 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85050306505 Arctic ocean Fluorescence of chlorophyll a Low-cost technology Temperature info:eu-repo/semantics/article 2018 ftunivgenova https://doi.org/10.3390/s18072257 2024-03-21T02:31:55Z The Arctic region is known to be severely affected by climate change, with evident alterations in both physical and biological processes. Monitoring the Arctic Ocean ecosystem is key to understanding the impact of natural and human-induced change on the environment. Large data sets are required to monitor the Arctic marine ecosystem and validate high-resolution satellite observations (e.g., Sentinel), which are necessary to feed climatic and biogeochemical forecasting models. However, the Global Observing System needs to complete its geographic coverage, particularly for the harsh, extreme environment of the Arctic Region. In this scenario, autonomous systems are proving to be valuable tools for increasing the resolution of existing data. To this end, a low-cost, miniaturized and flexible probe, ArLoC (Arctic Low-Cost probe), was designed, built and installed on an innovative unmanned marine vehicle, the PROTEUS (Portable RObotic TEchnology for Unmanned Surveys), during a preliminary scientific campaign in the Svalbard Archipelago within the UVASS project. This study outlines the instrumentation used and its design features, its preliminary integration on PROTEUS and its test results. Article in Journal/Newspaper Arctic Arctic Ocean Climate change Svalbard Università degli Studi di Genova: CINECA IRIS Arctic Arctic Ocean Svalbard Svalbard Archipelago Sensors 18 7 2257 |
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Open Polar |
collection |
Università degli Studi di Genova: CINECA IRIS |
op_collection_id |
ftunivgenova |
language |
English |
topic |
Arctic ocean Fluorescence of chlorophyll a Low-cost technology Temperature |
spellingShingle |
Arctic ocean Fluorescence of chlorophyll a Low-cost technology Temperature Piermattei V. Madonia A. Bonamano S. Martellucci R. Bruzzone G. Ferretti R. Odetti A. Azzaro M. Zappala G. Marcelli M. Cost-effective technologies to study the arctic ocean environment† |
topic_facet |
Arctic ocean Fluorescence of chlorophyll a Low-cost technology Temperature |
description |
The Arctic region is known to be severely affected by climate change, with evident alterations in both physical and biological processes. Monitoring the Arctic Ocean ecosystem is key to understanding the impact of natural and human-induced change on the environment. Large data sets are required to monitor the Arctic marine ecosystem and validate high-resolution satellite observations (e.g., Sentinel), which are necessary to feed climatic and biogeochemical forecasting models. However, the Global Observing System needs to complete its geographic coverage, particularly for the harsh, extreme environment of the Arctic Region. In this scenario, autonomous systems are proving to be valuable tools for increasing the resolution of existing data. To this end, a low-cost, miniaturized and flexible probe, ArLoC (Arctic Low-Cost probe), was designed, built and installed on an innovative unmanned marine vehicle, the PROTEUS (Portable RObotic TEchnology for Unmanned Surveys), during a preliminary scientific campaign in the Svalbard Archipelago within the UVASS project. This study outlines the instrumentation used and its design features, its preliminary integration on PROTEUS and its test results. |
author2 |
Piermattei, V. Madonia, A. Bonamano, S. Martellucci, R. Bruzzone, G. Ferretti, R. Odetti, A. Azzaro, M. Zappala, G. Marcelli, M. |
format |
Article in Journal/Newspaper |
author |
Piermattei V. Madonia A. Bonamano S. Martellucci R. Bruzzone G. Ferretti R. Odetti A. Azzaro M. Zappala G. Marcelli M. |
author_facet |
Piermattei V. Madonia A. Bonamano S. Martellucci R. Bruzzone G. Ferretti R. Odetti A. Azzaro M. Zappala G. Marcelli M. |
author_sort |
Piermattei V. |
title |
Cost-effective technologies to study the arctic ocean environment† |
title_short |
Cost-effective technologies to study the arctic ocean environment† |
title_full |
Cost-effective technologies to study the arctic ocean environment† |
title_fullStr |
Cost-effective technologies to study the arctic ocean environment† |
title_full_unstemmed |
Cost-effective technologies to study the arctic ocean environment† |
title_sort |
cost-effective technologies to study the arctic ocean environment† |
publisher |
MDPI AG |
publishDate |
2018 |
url |
https://hdl.handle.net/11567/989959 https://doi.org/10.3390/s18072257 |
geographic |
Arctic Arctic Ocean Svalbard Svalbard Archipelago |
geographic_facet |
Arctic Arctic Ocean Svalbard Svalbard Archipelago |
genre |
Arctic Arctic Ocean Climate change Svalbard |
genre_facet |
Arctic Arctic Ocean Climate change Svalbard |
op_relation |
info:eu-repo/semantics/altIdentifier/pmid/30011806 info:eu-repo/semantics/altIdentifier/wos/WOS:000441334300279 volume:18 firstpage:2257 lastpage:2267 numberofpages:11 journal:SENSORS https://hdl.handle.net/11567/989959 doi:10.3390/s18072257 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85050306505 |
op_doi |
https://doi.org/10.3390/s18072257 |
container_title |
Sensors |
container_volume |
18 |
container_issue |
7 |
container_start_page |
2257 |
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1796302567972536320 |