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doi: 10.3390/s18072257
pmid: 30011806
pmc: PMC6069410
handle: 20.500.14243/372260 , 11567/989959 , 2067/31789
doi: 10.3390/s18072257
pmid: 30011806
pmc: PMC6069410
handle: 20.500.14243/372260 , 11567/989959 , 2067/31789
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.
low-cost technology, Chemical technology, Arctic Ocean, temperature, TP1-1185, fluorescence of chlorophyll a, Arctic ocean; Fluorescence of chlorophyll a; Low-cost technology; Temperature, fluorescence of chlorophyll <i>a</i>, Article
low-cost technology, Chemical technology, Arctic Ocean, temperature, TP1-1185, fluorescence of chlorophyll a, Arctic ocean; Fluorescence of chlorophyll a; Low-cost technology; Temperature, fluorescence of chlorophyll <i>a</i>, Article
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
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