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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ftdoajarticles:oai:doaj.org/article:e249b9721df4475d82d759ace7156605 2023-05-15T14:33:26+02:00 Cost-Effective Technologies to Study the Arctic Ocean Environment † Viviana Piermattei Alice Madonia Simone Bonamano Riccardo Martellucci Gabriele Bruzzone Roberta Ferretti Angelo Odetti Maurizio Azzaro Giuseppe Zappalà Marco Marcelli 2018-07-01T00:00:00Z https://doi.org/10.3390/s18072257 https://doaj.org/article/e249b9721df4475d82d759ace7156605 EN eng MDPI AG http://www.mdpi.com/1424-8220/18/7/2257 https://doaj.org/toc/1424-8220 1424-8220 doi:10.3390/s18072257 https://doaj.org/article/e249b9721df4475d82d759ace7156605 Sensors, Vol 18, Iss 7, p 2257 (2018) Arctic Ocean low-cost technology temperature fluorescence of chlorophyll a Chemical technology TP1-1185 article 2018 ftdoajarticles https://doi.org/10.3390/s18072257 2022-12-30T20:03:02Z 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 Directory of Open Access Journals: DOAJ Articles Arctic Arctic Ocean Svalbard Svalbard Archipelago Sensors 18 7 2257 |
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Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Arctic Ocean low-cost technology temperature fluorescence of chlorophyll a Chemical technology TP1-1185 |
spellingShingle |
Arctic Ocean low-cost technology temperature fluorescence of chlorophyll a Chemical technology TP1-1185 Viviana Piermattei Alice Madonia Simone Bonamano Riccardo Martellucci Gabriele Bruzzone Roberta Ferretti Angelo Odetti Maurizio Azzaro Giuseppe Zappalà Marco Marcelli Cost-Effective Technologies to Study the Arctic Ocean Environment † |
topic_facet |
Arctic Ocean low-cost technology temperature fluorescence of chlorophyll a Chemical technology TP1-1185 |
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 |
Article in Journal/Newspaper |
author |
Viviana Piermattei Alice Madonia Simone Bonamano Riccardo Martellucci Gabriele Bruzzone Roberta Ferretti Angelo Odetti Maurizio Azzaro Giuseppe Zappalà Marco Marcelli |
author_facet |
Viviana Piermattei Alice Madonia Simone Bonamano Riccardo Martellucci Gabriele Bruzzone Roberta Ferretti Angelo Odetti Maurizio Azzaro Giuseppe Zappalà Marco Marcelli |
author_sort |
Viviana Piermattei |
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://doi.org/10.3390/s18072257 https://doaj.org/article/e249b9721df4475d82d759ace7156605 |
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_source |
Sensors, Vol 18, Iss 7, p 2257 (2018) |
op_relation |
http://www.mdpi.com/1424-8220/18/7/2257 https://doaj.org/toc/1424-8220 1424-8220 doi:10.3390/s18072257 https://doaj.org/article/e249b9721df4475d82d759ace7156605 |
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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1766306688100466688 |