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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ftpubmed:oai:pubmedcentral.nih.gov:6069410 2023-05-15T14:34:37+02:00 Cost-Effective Technologies to Study the Arctic Ocean Environment † Piermattei, Viviana Madonia, Alice Bonamano, Simone Martellucci, Riccardo Bruzzone, Gabriele Ferretti, Roberta Odetti, Angelo Azzaro, Maurizio Zappalà, Giuseppe Marcelli, Marco 2018-07-13 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069410/ http://www.ncbi.nlm.nih.gov/pubmed/30011806 https://doi.org/10.3390/s18072257 en eng MDPI http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069410/ http://www.ncbi.nlm.nih.gov/pubmed/30011806 http://dx.doi.org/10.3390/s18072257 © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). CC-BY Article Text 2018 ftpubmed https://doi.org/10.3390/s18072257 2018-08-12T00:21:45Z 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. Text Arctic Arctic Ocean Climate change Svalbard PubMed Central (PMC) Arctic Arctic Ocean Svalbard Svalbard Archipelago Sensors 18 7 2257 |
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Article Piermattei, Viviana Madonia, Alice Bonamano, Simone Martellucci, Riccardo Bruzzone, Gabriele Ferretti, Roberta Odetti, Angelo Azzaro, Maurizio Zappalà, Giuseppe Marcelli, Marco Cost-Effective Technologies to Study the Arctic Ocean Environment † |
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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. |
format |
Text |
author |
Piermattei, Viviana Madonia, Alice Bonamano, Simone Martellucci, Riccardo Bruzzone, Gabriele Ferretti, Roberta Odetti, Angelo Azzaro, Maurizio Zappalà, Giuseppe Marcelli, Marco |
author_facet |
Piermattei, Viviana Madonia, Alice Bonamano, Simone Martellucci, Riccardo Bruzzone, Gabriele Ferretti, Roberta Odetti, Angelo Azzaro, Maurizio Zappalà, Giuseppe Marcelli, Marco |
author_sort |
Piermattei, Viviana |
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 |
publishDate |
2018 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069410/ http://www.ncbi.nlm.nih.gov/pubmed/30011806 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 |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069410/ http://www.ncbi.nlm.nih.gov/pubmed/30011806 http://dx.doi.org/10.3390/s18072257 |
op_rights |
© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
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CC-BY |
op_doi |
https://doi.org/10.3390/s18072257 |
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Sensors |
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18 |
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2257 |
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1766307620196450304 |