Tracking of a Fluorescent Dye in a Freshwater Lake with an Unmanned Surface Vehicle and an Unmanned Aircraft System

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dc.contributor.authorPowers, Craig W.en
dc.contributor.authorSchmale, David G. IIIen
dc.contributor.authorHanlon, Reginaen
dc.contributor.departmentCivil and Environmental Engineeringen
dc.date.accessioned2018-01-15T18:55:14Zen
dc.date.available2018-01-15T18:55:14Zen
dc.date.issued2018-01-09en
dc.description.abstractRecent catastrophic events in our oceans, including the spill of toxic oil from the explosion of the Deepwater Horizon drilling rig and the rapid dispersion of radioactive particulates from the meltdown of the Fukushima Daiichi nuclear plant, underscore the need for new tools and technologies to rapidly respond to hazardous agents. Our understanding of the movement and aerosolization of hazardous agents from natural aquatic systems can be expanded upon and used in prevention and tracking. New technologies with coordinated unmanned robotic systems could lead to faster identification and mitigation of hazardous agents in lakes, rivers, and oceans. In this study, we released a fluorescent dye (fluorescein) into a freshwater lake from an anchored floating platform. A fluorometer (fluorescence sensor) was mounted underneath an unmanned surface vehicle (USV, unmanned boat) and was used to detect and track the released dye in situ in real-time. An unmanned aircraft system (UAS) was used to visualize the dye and direct the USV to sample different areas of the dye plume. Image processing tools were used to map concentration profiles of the dye plume from aerial images acquired from the UAS, and these were associated with concentration measurements collected from the sensors onboard the USV. The results of this project have the potential to transform monitoring strategies for hazardous agents, enabling timely and accurate exposure assessment and response in affected areas. Fast response is essential in reacting to the introduction of hazardous agents, in order to quickly predict and contain their spread.en
dc.description.notesfalse (Extension publication?)en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationPowers, C.; Hanlon, R.; Schmale, D.G., III. Tracking of a Fluorescent Dye in a Freshwater Lake with an Unmanned Surface Vehicle and an Unmanned Aircraft System. Remote Sens. 2018, 10, 81.en
dc.identifier.doihttps://doi.org/10.3390/rs10010081en
dc.identifier.issue81en
dc.identifier.orcidSchmale, DG [0000-0002-7003-7429]en
dc.identifier.urihttp://hdl.handle.net/10919/81786en
dc.identifier.volume10 (1)en
dc.language.isoenen
dc.relation.urihttp://www.mdpi.com/2072-4292/10/1/81en
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleTracking of a Fluorescent Dye in a Freshwater Lake with an Unmanned Surface Vehicle and an Unmanned Aircraft Systemen
dc.title.serialRemote Sensingen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dcterms.dateAccepted2018-01-03en
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciencesen
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciences/CALS T&R Facultyen
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciences/Plant Pathology, Physiology, & Weed Scienceen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/University Research Institutesen
pubs.organisational-group/Virginia Tech/University Research Institutes/Fralin Life Sciencesen
pubs.organisational-group/Virginia Tech/University Research Institutes/Fralin Life Sciences/Fralin Affiliated Facultyen

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Destination Area: Global Systems Science (GSS)
Scholarly Works, Civil and Environmental Engineering