Advanced optical technologies for phytoplankton discrimination: Application in adaptive ocean sampling networks

Memoria de tesis doctoral presentada por Ismael Fernández Aymerich para obtener el título de Doctor en Ciencias del Mar por la Universitat Politècnica de Catalunya (UPC), realizada bajo la dirección del Dr. Jaume Piera Fernández del Institut de Ciències del Mar (ICM-CSIC) y del Dr. Albert-Miquel Sán...

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Detalhes bibliográficos
Autor: Aymerich, Ismael F.
Formato: tesis doctoral
Fecha de publicación:2016
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/137655
Acesso em linha:http://hdl.handle.net/10261/137655
Access Level:acceso abierto
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network_name_str España
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dc.title.none.fl_str_mv Advanced optical technologies for phytoplankton discrimination: Application in adaptive ocean sampling networks
title Advanced optical technologies for phytoplankton discrimination: Application in adaptive ocean sampling networks
spellingShingle Advanced optical technologies for phytoplankton discrimination: Application in adaptive ocean sampling networks
Aymerich, Ismael F.
title_short Advanced optical technologies for phytoplankton discrimination: Application in adaptive ocean sampling networks
title_full Advanced optical technologies for phytoplankton discrimination: Application in adaptive ocean sampling networks
title_fullStr Advanced optical technologies for phytoplankton discrimination: Application in adaptive ocean sampling networks
title_full_unstemmed Advanced optical technologies for phytoplankton discrimination: Application in adaptive ocean sampling networks
title_sort Advanced optical technologies for phytoplankton discrimination: Application in adaptive ocean sampling networks
dc.creator.none.fl_str_mv Aymerich, Ismael F.
author Aymerich, Ismael F.
author_facet Aymerich, Ismael F.
author_role author
dc.contributor.none.fl_str_mv Sánchez, Albert-Miquel
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
description Memoria de tesis doctoral presentada por Ismael Fernández Aymerich para obtener el título de Doctor en Ciencias del Mar por la Universitat Politècnica de Catalunya (UPC), realizada bajo la dirección del Dr. Jaume Piera Fernández del Institut de Ciències del Mar (ICM-CSIC) y del Dr. Albert-Miquel Sánchez Delgado.-- 118 pages
publishDate 2016
dc.date.none.fl_str_mv 2016
2016
2016
2016
dc.type.none.fl_str_mv info:eu-repo/semantics/doctoralThesis
http://purl.org/coar/resource_type/c_db06
format doctoralThesis
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/137655
url http://hdl.handle.net/10261/137655
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidad Politécnica de Cataluña
CSIC - Instituto de Ciencias del Mar (ICM)
publisher.none.fl_str_mv Universidad Politécnica de Cataluña
CSIC - Instituto de Ciencias del Mar (ICM)
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Advanced optical technologies for phytoplankton discrimination: Application in adaptive ocean sampling networksAymerich, Ismael F.Memoria de tesis doctoral presentada por Ismael Fernández Aymerich para obtener el título de Doctor en Ciencias del Mar por la Universitat Politècnica de Catalunya (UPC), realizada bajo la dirección del Dr. Jaume Piera Fernández del Institut de Ciències del Mar (ICM-CSIC) y del Dr. Albert-Miquel Sánchez Delgado.-- 118 pages[EN] There is a lack on ocean dynamics understanding, and that lead oceanographers to the need of acquiring more reliable data to study ocean characteristics. Oceanographic measurements are difficult and expensive but essential for effective study oceanic and atmospheric systems. Despite rapid advances in ocean sampling capabilities, the number of disciplinary variables that are necessary to solve oceanographic problems is large. In addition, the time scales of important processes span over ten orders of magnitude, and due to technology limitations, there are important spectral gaps in the sampling methods obtained in the last decades. Thus, the main limitation to understand these dynamics is an inaccurate measurement of the process due to undersampling. But fortunately, recent advances in ocean platforms and in situ autonomous sampling systems and satellite sensors are enabling unprecedented rates of data acquisition as well as the expansion of temporal and spatial coverage. Many advances in technologies involving different areas such as computing, nanotechnology, robotics, molecular biology, etc. are being developed. There exist the effort that these advantages could be applied to ocean sciences and will prove to extremely beneficial for oceanographers in the next few decades. Autonomous underwater vehicles, in situ automatic sampling devices, high spectral resolution optical and chemical sensors are some of the new advances that are being utilized by a limited number of oceanographers, and in a few years are expected to be widely used. Thanks to new technologies and, for instance, utilization of data assimilation models coupled with autonomous sampling platforms can increase temporal and spatial sampling capabilities. For instance, studies of phytoplankton dynamics in the water column, or the transportation and aggregation of organisms need a high rate of sampling because of their rapid evolution, that is why new strategies and technologies to increase sampling rate and coverage would be really useful. However, other challenges come up when increasing the variety and quantity of ocean measurements. For instance, number of measurements are limited by costs of instruments and their deployment, as well as data processing and production of useful data products and visualizations. In some studies, there exists the necessity to discriminate and detect different phytoplankton species present in sea water, and even track their evolution. The use of their optical properties is one of the approximations used by some of them. Acquiring optical properties is a non-invasive and non-destructive method to study phytoplankton communities. Phytoplankton species are then organized thanks to presenting similar optical characteristics. Fluorescence spectroscopy has been used and found as a really potential technique for this goal, although passive optical techniques such as the study of the absorption can be also useful, or even their combination can be studied. Specifically speaking about fluorescence, the majority of the studies have centered their effort in discriminating phytoplankton groups using their excitation spectra because the emission spectra contains less information. The inconvenient of using this kind of information, is that the acquisition is not instantaneous and it is necessary to spend some time (over a second) exciting the sample at different wavelengths sequentially. In contrast, the whole emission spectra can be acquired instantaneously. Therefore, the aim of this thesis is to explore new and powerful signal processing techniques able to discriminate between different phytoplankton groups from their emission fluorescence spectra. This document presents important results that demonstrate the capabilities of these methods[CAT] Existeix una falta de coneixement sobre les dinàmiques dels oceans, i això porta als oceanògrafs a la necessitat d’adquirir dades més fiables per tal d’estudiar les característiques dels oceans. Les mesures oceanogràfiques són difícils i costoses d’adquirir, però són essencials per estudiar de manera efectiva els sistemes oceànics i atmosfèrics. A causa dels ràpids avenços a l’hora de mostrejar aquest medi tan hostil, és necessari que diverses disciplines treballin juntes per tal de solucionar el gran nombre de problemàtiques que es poden trobar. A més, els processos que s’han d’estudiar poden perdurar fins i tot deu ordres de magnitud, i per culpa de les limitacions tecnològiques, existeixen importants manques en els mètodes de mostrejar que es porten utilitzant en les últimes dècades. [...]Peer ReviewedUniversidad Politécnica de CataluñaCSIC - Instituto de Ciencias del Mar (ICM)Sánchez, Albert-MiquelConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2016201620162016info:eu-repo/semantics/doctoralThesishttp://purl.org/coar/resource_type/c_db06http://hdl.handle.net/10261/137655reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésSíinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1376552026-05-22T06:33:51Z
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