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

dc.contributor.advisor Edwards, Margo
dc.contributor.author Ehman, Kainalu
dc.contributor.department Oceanography
dc.contributor.department Global Environmental Science
dc.date.accessioned 2020-04-25T01:36:06Z
dc.date.available 2020-04-25T01:36:06Z
dc.date.issued 2017
dc.description.course OCN 499 - Undergraduate Thesis
dc.identifier.uri http://hdl.handle.net/10125/67744
dc.publisher.place Honolulu
dc.subject fisheries
dc.subject Automatic Identification System
dc.subject AIS
dc.subject NASA
dc.title An Analysis of Automatic Identification System Data in Detecting Fishery Movements in the Gulf of Mexico from the International Space Station
dc.type Thesis
dcterms.abstract I 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.extent 23 pages
dcterms.language English
dcterms.publisher University of Hawaiʻi at Mānoa
dcterms.rights All 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.rightsholder Ehman, Kainalu
dcterms.type Text
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