Targeted Sampling by Autonomous Underwater Vehicles
In the vast ocean, many ecologically important phenomena are temporally episodic, localized in space, and move according to local currents. To effectively study these complex and evolving phenomena, methods that enable autonomous platforms to detect and respond to targeted phenomena are required. Su...
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doaj-9626b1275d6445d787010483cf99cf372020-11-25T01:07:41ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452019-08-01610.3389/fmars.2019.00415445657Targeted Sampling by Autonomous Underwater VehiclesYanwu Zhang0John P. Ryan1Brian Kieft2Brett W. Hobson3Robert S. McEwen4Michael A. Godin5Julio B. Harvey6Benedetto Barone7James G. Bellingham8James M. Birch9Christopher A. Scholin10Francisco P. Chavez11Monterey Bay Aquarium Research Institute, Moss Landing, CA, United StatesMonterey Bay Aquarium Research Institute, Moss Landing, CA, United StatesMonterey Bay Aquarium Research Institute, Moss Landing, CA, United StatesMonterey Bay Aquarium Research Institute, Moss Landing, CA, United StatesMonterey Bay Aquarium Research Institute, Moss Landing, CA, United StatesIntuAware, Northampton, MA, United StatesDepartment of Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, Santa Cruz, CA, United StatesDepartment of Oceanography, University of Hawaii at Manoa, Honolulu, HI, United StatesDepartment of Applied Ocean Physics and Engineering, Woods Hole Oceanographic Institution, Woods Hole, MA, United StatesMonterey Bay Aquarium Research Institute, Moss Landing, CA, United StatesMonterey Bay Aquarium Research Institute, Moss Landing, CA, United StatesMonterey Bay Aquarium Research Institute, Moss Landing, CA, United StatesIn the vast ocean, many ecologically important phenomena are temporally episodic, localized in space, and move according to local currents. To effectively study these complex and evolving phenomena, methods that enable autonomous platforms to detect and respond to targeted phenomena are required. Such capabilities allow for directed sensing and water sample acquisition in the most relevant and informative locations, as compared against static grid surveys. To meet this need, we have designed algorithms for autonomous underwater vehicles that detect oceanic features in real time and direct vehicle and sampling behaviors as dictated by research objectives. These methods have successfully been applied in a series of field programs to study a range of phenomena such as harmful algal blooms, coastal upwelling fronts, and microbial processes in open-ocean eddies. In this review we highlight these applications and discuss future directions.https://www.frontiersin.org/article/10.3389/fmars.2019.00415/fulltargeted samplingautonomous underwater vehicle (AUV)Environmental Sample Processor (ESP)phytoplankton patchupwelling frontopen-ocean eddy |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yanwu Zhang John P. Ryan Brian Kieft Brett W. Hobson Robert S. McEwen Michael A. Godin Julio B. Harvey Benedetto Barone James G. Bellingham James M. Birch Christopher A. Scholin Francisco P. Chavez |
spellingShingle |
Yanwu Zhang John P. Ryan Brian Kieft Brett W. Hobson Robert S. McEwen Michael A. Godin Julio B. Harvey Benedetto Barone James G. Bellingham James M. Birch Christopher A. Scholin Francisco P. Chavez Targeted Sampling by Autonomous Underwater Vehicles Frontiers in Marine Science targeted sampling autonomous underwater vehicle (AUV) Environmental Sample Processor (ESP) phytoplankton patch upwelling front open-ocean eddy |
author_facet |
Yanwu Zhang John P. Ryan Brian Kieft Brett W. Hobson Robert S. McEwen Michael A. Godin Julio B. Harvey Benedetto Barone James G. Bellingham James M. Birch Christopher A. Scholin Francisco P. Chavez |
author_sort |
Yanwu Zhang |
title |
Targeted Sampling by Autonomous Underwater Vehicles |
title_short |
Targeted Sampling by Autonomous Underwater Vehicles |
title_full |
Targeted Sampling by Autonomous Underwater Vehicles |
title_fullStr |
Targeted Sampling by Autonomous Underwater Vehicles |
title_full_unstemmed |
Targeted Sampling by Autonomous Underwater Vehicles |
title_sort |
targeted sampling by autonomous underwater vehicles |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Marine Science |
issn |
2296-7745 |
publishDate |
2019-08-01 |
description |
In the vast ocean, many ecologically important phenomena are temporally episodic, localized in space, and move according to local currents. To effectively study these complex and evolving phenomena, methods that enable autonomous platforms to detect and respond to targeted phenomena are required. Such capabilities allow for directed sensing and water sample acquisition in the most relevant and informative locations, as compared against static grid surveys. To meet this need, we have designed algorithms for autonomous underwater vehicles that detect oceanic features in real time and direct vehicle and sampling behaviors as dictated by research objectives. These methods have successfully been applied in a series of field programs to study a range of phenomena such as harmful algal blooms, coastal upwelling fronts, and microbial processes in open-ocean eddies. In this review we highlight these applications and discuss future directions. |
topic |
targeted sampling autonomous underwater vehicle (AUV) Environmental Sample Processor (ESP) phytoplankton patch upwelling front open-ocean eddy |
url |
https://www.frontiersin.org/article/10.3389/fmars.2019.00415/full |
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