An Analysis of Automatic Identification System Data in Detecting Fishery Movements in the Gulf of Mexico from the International Space Station

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dc.contributor.advisorEdwards, Margo
dc.contributor.authorEhman, Kainalu
dc.contributor.departmentOceanography
dc.contributor.departmentGlobal Environmental Science
dc.date.accessioned2020-04-25T01:36:06Z
dc.date.available2020-04-25T01:36:06Z
dc.date.issued2017
dc.description.courseOCN 499 - Undergraduate Thesis
dc.identifier.urihttp://hdl.handle.net/10125/67744
dc.publisher.placeHonolulu
dc.subjectfisheries
dc.subjectAutomatic Identification System
dc.subjectAIS
dc.subjectNASA
dc.titleAn Analysis of Automatic Identification System Data in Detecting Fishery Movements in the Gulf of Mexico from the International Space Station
dc.typeThesis
dcterms.abstractI am analyzing Automatic Identification System (AIS) data from exactEarth over a period of 3 months (January to March of 2016) and AIS data from NASA over a period of 6 months (December 2016 to April 2017) to document whether it is possible to detect and how fishing vessels operating in the GoM are changing their areas of operations, hypothesizing that this is a proxy for changing fisheries locations. The AIS data will be compared with historical records compiled by Love et al., 2013 as part of the Deepwater Horizon oil spill to assess changes over periods as long as decades.
dcterms.extent23 pages
dcterms.languageEnglish
dcterms.publisherUniversity of Hawaiʻi at Mānoa
dcterms.rightsAll UHM dissertations and 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 from the copyright owner.
dcterms.rightsholderEhman, Kainalu
dcterms.typeText

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