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Design and Experiments of a Water Color Remote Sensing-Oriented Unmanned Surface Vehicle

Integrated and intelligent in situ observations are important for the remote sensing monitoring of dynamic water environments. To meet the field investigation requirements of ocean color remote sensing, we developed a water color remote sensing-oriented unmanned surface vehicle (WC-USV), which consi...

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Autores principales: Li, Yong, Tian, Liqiao, Li, Wenkai, Li, Jian, Wei, Anna, Li, Sen, Tong, Ruqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218716/
https://www.ncbi.nlm.nih.gov/pubmed/32290624
http://dx.doi.org/10.3390/s20082183
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author Li, Yong
Tian, Liqiao
Li, Wenkai
Li, Jian
Wei, Anna
Li, Sen
Tong, Ruqing
author_facet Li, Yong
Tian, Liqiao
Li, Wenkai
Li, Jian
Wei, Anna
Li, Sen
Tong, Ruqing
author_sort Li, Yong
collection PubMed
description Integrated and intelligent in situ observations are important for the remote sensing monitoring of dynamic water environments. To meet the field investigation requirements of ocean color remote sensing, we developed a water color remote sensing-oriented unmanned surface vehicle (WC-USV), which consisted of an unmanned surface vehicle platform with ground control station, data acquisition, and transmission modules. The WC-USV was designed with functions, such as remote controlling, status monitoring, automatic obstacle avoidance, and water and meteorological parameter measurement acquisition, transmission, and processing. The key data acquisition module consisted of four parts: A floating optical buoy (FOBY) for collecting remote sensing reflectance ([Formula: see text]) via the skylight-blocked approach; a water sample autocollection system that can collect 12 1-L bottles for analysis in the laboratory; a water quality measurement system for obtaining water parameters, including Chlorophyll-a (Chl-a), turbidity, and water temperature, among others; and meteorological sensors for measuring wind speed and direction, air pressure, temperature, and humidity. Field experiments were conducted to validate the performance of the WC-USV on 23–28 March 2018 in the Honghu Lake, which is the seventh largest freshwater lake in China. The tests proved the following: (1) The WC-USV performed well in terms of autonomous navigation and obstacle avoidance; (2) the mounted FOBY-derived [Formula: see text] showed good precision in terms of the quality assurance score (QAS), which was higher than 0.98; (3) the Chl-a and suspended matters (SPM) as ocean color parameters measured by the WC-USV were highly consistent with laboratory analysis results, with determination coefficients (R(2)) of 0.71 and 0.77, respectively; and (4) meteorological parameters could be continuously and stably measured by WC-USV. Results demonstrated the feasibility and practicability of the WC-USV for automatic in situ observations. The USV provided a new way of thinking for the future development of intelligent automation of the aquatic remote sensing ground verification system. It could be a good option to conduct field investigations for ocean color remote sensing and provide an alternative for highly polluted and/or shallow high-risk waters which large vessels have difficulty reaching.
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spelling pubmed-72187162020-05-22 Design and Experiments of a Water Color Remote Sensing-Oriented Unmanned Surface Vehicle Li, Yong Tian, Liqiao Li, Wenkai Li, Jian Wei, Anna Li, Sen Tong, Ruqing Sensors (Basel) Article Integrated and intelligent in situ observations are important for the remote sensing monitoring of dynamic water environments. To meet the field investigation requirements of ocean color remote sensing, we developed a water color remote sensing-oriented unmanned surface vehicle (WC-USV), which consisted of an unmanned surface vehicle platform with ground control station, data acquisition, and transmission modules. The WC-USV was designed with functions, such as remote controlling, status monitoring, automatic obstacle avoidance, and water and meteorological parameter measurement acquisition, transmission, and processing. The key data acquisition module consisted of four parts: A floating optical buoy (FOBY) for collecting remote sensing reflectance ([Formula: see text]) via the skylight-blocked approach; a water sample autocollection system that can collect 12 1-L bottles for analysis in the laboratory; a water quality measurement system for obtaining water parameters, including Chlorophyll-a (Chl-a), turbidity, and water temperature, among others; and meteorological sensors for measuring wind speed and direction, air pressure, temperature, and humidity. Field experiments were conducted to validate the performance of the WC-USV on 23–28 March 2018 in the Honghu Lake, which is the seventh largest freshwater lake in China. The tests proved the following: (1) The WC-USV performed well in terms of autonomous navigation and obstacle avoidance; (2) the mounted FOBY-derived [Formula: see text] showed good precision in terms of the quality assurance score (QAS), which was higher than 0.98; (3) the Chl-a and suspended matters (SPM) as ocean color parameters measured by the WC-USV were highly consistent with laboratory analysis results, with determination coefficients (R(2)) of 0.71 and 0.77, respectively; and (4) meteorological parameters could be continuously and stably measured by WC-USV. Results demonstrated the feasibility and practicability of the WC-USV for automatic in situ observations. The USV provided a new way of thinking for the future development of intelligent automation of the aquatic remote sensing ground verification system. It could be a good option to conduct field investigations for ocean color remote sensing and provide an alternative for highly polluted and/or shallow high-risk waters which large vessels have difficulty reaching. MDPI 2020-04-12 /pmc/articles/PMC7218716/ /pubmed/32290624 http://dx.doi.org/10.3390/s20082183 Text en © 2020 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/).
spellingShingle Article
Li, Yong
Tian, Liqiao
Li, Wenkai
Li, Jian
Wei, Anna
Li, Sen
Tong, Ruqing
Design and Experiments of a Water Color Remote Sensing-Oriented Unmanned Surface Vehicle
title Design and Experiments of a Water Color Remote Sensing-Oriented Unmanned Surface Vehicle
title_full Design and Experiments of a Water Color Remote Sensing-Oriented Unmanned Surface Vehicle
title_fullStr Design and Experiments of a Water Color Remote Sensing-Oriented Unmanned Surface Vehicle
title_full_unstemmed Design and Experiments of a Water Color Remote Sensing-Oriented Unmanned Surface Vehicle
title_short Design and Experiments of a Water Color Remote Sensing-Oriented Unmanned Surface Vehicle
title_sort design and experiments of a water color remote sensing-oriented unmanned surface vehicle
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218716/
https://www.ncbi.nlm.nih.gov/pubmed/32290624
http://dx.doi.org/10.3390/s20082183
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