<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T21:32:52Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/79161" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/79161</identifier><datestamp>2022-01-13T07:54:05Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Franz S. Hover and Nicholas M. Patrikalakis.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Leighton, Joshua (Joshua C.)</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Mechanical Engineering.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Mechanical Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2013-06-17T19:04:20Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2013-06-17T19:04:20Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2013</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2013</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/79161</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">846641730</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2013.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">This electronic version was submitted by the student author.  The certified thesis is available in the Institute Archives and Special Collections.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 68-70).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Technological improvements over the past decade have led to the widespread use of autonomous surface and underwater vehicles for data collection in marine environmental sensing and modeling in coastal environments. However, these vehicles and their sensors still have limitations, especially when tasked with observing highly dynamic or transient processes. We investigate the application of a small unmanned aerial vehicle (UAV) to the study of two such phenomena: Harmful Algal Blooms (HABs) and thermal plumes. A complete field-operable system was developed to identify and characterize HAB events through a human-monitored supervisory control system. This capability was extended with an infrared imaging camera for remote sensing of thermal plumes, enabling future work to augment the in-situ measurements of surface craft with thermal imagery from a UAV. Experiments in Singapore have led to the successful identification and subsequent study of algal blooms on multiple occasions and demonstrated the potential for observation and modeling of thermal plumes.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Joshua Leighton.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">70 p.</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by 
copyright. They may be viewed from this source for any purpose, but 
reproduction or distribution in any format is prohibited without written 
permission. See provided URL for inquiries about permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Mechanical Engineering.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">System design of an unmanned aerial vehicle (UAV) for marine environmental sensing</dim:field>
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	&lt;Language>eng&lt;/Language>
   	&lt;Title>System design of an unmanned aerial vehicle (UAV) for marine environmental sensing&lt;/Title>
   	&lt;Subtitle>System design of a UAV for marine environmental sensing&lt;/Subtitle>
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   	&lt;PublicationDate>2013&lt;/PublicationDate>
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        	&lt;DisplayName>Leighton, Joshua (Joshua C.)&lt;/DisplayName>
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            &lt;DisplayName>Massachusetts Institute of Technology&lt;/DisplayName>
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    &lt;Keyword>Mechanical Engineering.&lt;/Keyword>
   	&lt;Abstract>Technological improvements over the past decade have led to the widespread use of autonomous surface and underwater vehicles for data collection in marine environmental sensing and modeling in coastal environments. However, these vehicles and their sensors still have limitations, especially when tasked with observing highly dynamic or transient processes. We investigate the application of a small unmanned aerial vehicle (UAV) to the study of two such phenomena: Harmful Algal Blooms (HABs) and thermal plumes. A complete field-operable system was developed to identify and characterize HAB events through a human-monitored supervisory control system. This capability was extended with an infrared imaging camera for remote sensing of thermal plumes, enabling future work to augment the in-situ measurements of surface craft with thermal imagery from a UAV. Experiments in Singapore have led to the successful identification and subsequent study of algal blooms on multiple occasions and demonstrated the potential for observation and modeling of thermal plumes.&lt;/Abstract>
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