Efeitos de diferentes componentes opticamente ativos na reflectância da água para a estimativa remota das concentrações de clorofila-a fitoplanctônica

Detalhes bibliográficos
Autor(a) principal: Gross, Joceli Augusto
Data de Publicação: 2019
Tipo de documento: Tese
Idioma: por
Título da fonte: Manancial - Repositório Digital da UFSM
Texto Completo: http://repositorio.ufsm.br/handle/1/21428
Resumo: The importance of monitoring phytoplankton communities and variables related to their constituents such as chlorophyll-a is undeniable due to its relation to the quality of the water. Even so, further improvements are necessary on the representativeness of the samples, aiming spatial and temporal pattern recognition of the given variables. Data and techniques of remote sensing have been mentioned as a viable alternative to supply this demand. In contrast, the remote estimation of phytoplankton chlorophyll-a concentration may still be seen as a challenge, mainly in bodies of water of case 2 classification, mostly due to the effects of different optically-active components on the sensing data, including the distinct phytoplankton organisms. For this purpose, algorithms were and currently are being developed. Among those, there are empirical models of a unique spectral band obtained in analysis of simple linear regression. However, this technique is only applicable when a single independent variable affects the dependent variable, which does not occur in bodies of water case 2 classification. Within this context, the general objective of the present work was to verify the adequacy of empirical models developed by simple linear regression to estimate phytoplankton chlorophyll-a from reflectance data in a unique spectral band and to demonstrate that phytoplankton organisms can be considered distinct optically-active components in the water. In order to meet this objective, phytoplankton organisms classified as Cyanophyceae, Euglenophyceae and Chlorophyceae were isolated and cultivated; samples of inorganic sediments were processed and geometries of illumination and acquisition of radiometry data were determined and controlled to perform this experiment in laboratory level, which consisted basically of water reflectance measurements in a tank, in distinct treatments related to the optically-active components present on it. The correlation analysis, simple linear regression and mean squared error, showed that the empirical models of a unique spectral band, developed by simple linear regression, may miscount the concentration of chlorophyll-a even when the water contains only phytoplankton, as the phytoplankton organisms cultivated have promoted distinct and reverse reflectance variation in relation to chlorophyll-a concentration variation and they may be considered distinct optically-active components in the water. In the presence of inorganic suspended solids the estimation errors may be even larger, as additive effects of this component on the reflectance of water variations are not subtracted by the model, but rather considered as being caused by chlorophyll-a. Therefore, the empirical models developed by simple linear regression from reflectance data of a single spectral band are inappropriate for estimating chlorophyll-a phytoplankton in bodies of water, as there is no single wavelength in the visible and infrared regions next to the electromagnetic spectrum that is affected only by the independent variable chlorophyll-a, even when there are only phytoplankton in the water.
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spelling Efeitos de diferentes componentes opticamente ativos na reflectância da água para a estimativa remota das concentrações de clorofila-a fitoplanctônicaEffects of different optically-active components on the reflectance of water to the remote estimation of phytoplankton chlorophyll-aReflectânciaFitoplânctonEstimativa remota da clorofila-aReflectancePhytoplanktonRemote estimation of chlorophyll-aCNPQ::CIENCIAS HUMANAS::GEOGRAFIAThe importance of monitoring phytoplankton communities and variables related to their constituents such as chlorophyll-a is undeniable due to its relation to the quality of the water. Even so, further improvements are necessary on the representativeness of the samples, aiming spatial and temporal pattern recognition of the given variables. Data and techniques of remote sensing have been mentioned as a viable alternative to supply this demand. In contrast, the remote estimation of phytoplankton chlorophyll-a concentration may still be seen as a challenge, mainly in bodies of water of case 2 classification, mostly due to the effects of different optically-active components on the sensing data, including the distinct phytoplankton organisms. For this purpose, algorithms were and currently are being developed. Among those, there are empirical models of a unique spectral band obtained in analysis of simple linear regression. However, this technique is only applicable when a single independent variable affects the dependent variable, which does not occur in bodies of water case 2 classification. Within this context, the general objective of the present work was to verify the adequacy of empirical models developed by simple linear regression to estimate phytoplankton chlorophyll-a from reflectance data in a unique spectral band and to demonstrate that phytoplankton organisms can be considered distinct optically-active components in the water. In order to meet this objective, phytoplankton organisms classified as Cyanophyceae, Euglenophyceae and Chlorophyceae were isolated and cultivated; samples of inorganic sediments were processed and geometries of illumination and acquisition of radiometry data were determined and controlled to perform this experiment in laboratory level, which consisted basically of water reflectance measurements in a tank, in distinct treatments related to the optically-active components present on it. The correlation analysis, simple linear regression and mean squared error, showed that the empirical models of a unique spectral band, developed by simple linear regression, may miscount the concentration of chlorophyll-a even when the water contains only phytoplankton, as the phytoplankton organisms cultivated have promoted distinct and reverse reflectance variation in relation to chlorophyll-a concentration variation and they may be considered distinct optically-active components in the water. In the presence of inorganic suspended solids the estimation errors may be even larger, as additive effects of this component on the reflectance of water variations are not subtracted by the model, but rather considered as being caused by chlorophyll-a. Therefore, the empirical models developed by simple linear regression from reflectance data of a single spectral band are inappropriate for estimating chlorophyll-a phytoplankton in bodies of water, as there is no single wavelength in the visible and infrared regions next to the electromagnetic spectrum that is affected only by the independent variable chlorophyll-a, even when there are only phytoplankton in the water.A importância do monitoramento da comunidade fitoplanctônica e de variáveis relacionadas aos seus organismos constituintes, como a clorofila-a, é indubitável, devido às sua relação com a qualidade das águas, mas, ainda são necessários avanços acerca da representatividade das amostras, visando o reconhecimento de padrões espaciais e temporais da referida variável. Dados e técnicas de sensoriamento remoto têm sido referenciados como uma alternativa viável para suprir esta demanda. Por outro lado, a estimativa remota das concentrações de clorofila-a fitoplanctônica ainda pode ser vista como um desafio, principalmente em corpos de água do caso dois, em grande parte devido aos efeitos dos diferentes componentes opticamente ativos sobre os dados de sensoriamento remoto, inclusive dos distintos organismos fitoplanctônicos. Algoritmos foram e estão sendo desenvolvidos para este propósito, dentre eles os modelos empíricos de uma única banda espectral obtidos em análises de regressão simples, apesar de esta técnica ser aplicável somente quando uma única variável independente afeta a variável dependente, o que não ocorre em corpos de água do caso dois. Neste contexto, o objetivo geral do presente trabalho foi verificar a adequabilidade de modelos empíricos desenvolvidos por regressão simples para estimar a clorofila-a fitoplanctônica a partir de dados de reflectância de uma única banda espectral e demonstrar que organismos fitoplanctônicos podem ser considerados distintos componentes opticamente ativos das águas. Para cumprir com o referido objetivo, organismos fitoplanctônicos classificados como Cyanophyceae, Euglenophyceae e Chlorophyceae foram isolados e cultivados, amostras de sedimentos inorgânicos foram processadas e geometrias de iluminação e de aquisição dos dados radiométricos foram determinadas e controladas para a realização de um experimento em nível laboratorial, que constou basicamente de medições da reflectância da água de um tanque, em distintos tratamentos relacionados aos componentes opticamente ativos presentes na mesma. As análises de correlação, regressão simples e o erro quadrático médio, mostraram que os modelos empíricos de uma única banda espectral, desenvolvidos por regressão simples, podem estimar erroneamente as concentrações de clorofila-a, mesmo que na água contiver apenas fitoplâncton, porque os organismos fitoplanctônicos cultivados promoveram variações distintas e inversas da reflectância em função das variações nas concentrações de clorofila-a e podem ser considerados distintos componentes opticamente ativos das águas. Na presença de sólidos suspensos inorgânicos os erros de estimativa podem ser ainda maiores, porque os efeitos aditivos desse componente sobre a variação da reflectância da água, não são subtraídos pelo modelo, mas sim considerados como sendo ocasionados por clorofila-a. Portanto, os modelos empíricos desenvolvidos por regressão simples a partir de dados de reflectância de uma única banda espectral são inadequados para estimar clorofila-a fitoplanctônica em corpos de água, mesmo porque, não há um único comprimento de onda das regiões de visível e infravermelho próximo do espectro eletromagnético que seja afetado somente pela variável independente clorofila-a, mesmo que na água contiver apenas fitoplâncton.Universidade Federal de Santa MariaBrasilGeografiaUFSMPrograma de Pós-Graduação em GeografiaCentro de Ciências Naturais e ExatasCassol, Robertohttp://lattes.cnpq.br/0745996287597257Benedetti, Ana Caroline PaimSpinelli, JuçaraLinton, Maria Angelica OliveiraCruz, Rafael CabralGross, Joceli Augusto2021-07-14T20:05:03Z2021-07-14T20:05:03Z2019-08-30info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfhttp://repositorio.ufsm.br/handle/1/21428porAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessreponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM2021-07-15T06:03:33Zoai:repositorio.ufsm.br:1/21428Biblioteca Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/ONGhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.comopendoar:2021-07-15T06:03:33Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Efeitos de diferentes componentes opticamente ativos na reflectância da água para a estimativa remota das concentrações de clorofila-a fitoplanctônica
Effects of different optically-active components on the reflectance of water to the remote estimation of phytoplankton chlorophyll-a
title Efeitos de diferentes componentes opticamente ativos na reflectância da água para a estimativa remota das concentrações de clorofila-a fitoplanctônica
spellingShingle Efeitos de diferentes componentes opticamente ativos na reflectância da água para a estimativa remota das concentrações de clorofila-a fitoplanctônica
Gross, Joceli Augusto
Reflectância
Fitoplâncton
Estimativa remota da clorofila-a
Reflectance
Phytoplankton
Remote estimation of chlorophyll-a
CNPQ::CIENCIAS HUMANAS::GEOGRAFIA
title_short Efeitos de diferentes componentes opticamente ativos na reflectância da água para a estimativa remota das concentrações de clorofila-a fitoplanctônica
title_full Efeitos de diferentes componentes opticamente ativos na reflectância da água para a estimativa remota das concentrações de clorofila-a fitoplanctônica
title_fullStr Efeitos de diferentes componentes opticamente ativos na reflectância da água para a estimativa remota das concentrações de clorofila-a fitoplanctônica
title_full_unstemmed Efeitos de diferentes componentes opticamente ativos na reflectância da água para a estimativa remota das concentrações de clorofila-a fitoplanctônica
title_sort Efeitos de diferentes componentes opticamente ativos na reflectância da água para a estimativa remota das concentrações de clorofila-a fitoplanctônica
author Gross, Joceli Augusto
author_facet Gross, Joceli Augusto
author_role author
dc.contributor.none.fl_str_mv Cassol, Roberto
http://lattes.cnpq.br/0745996287597257
Benedetti, Ana Caroline Paim
Spinelli, Juçara
Linton, Maria Angelica Oliveira
Cruz, Rafael Cabral
dc.contributor.author.fl_str_mv Gross, Joceli Augusto
dc.subject.por.fl_str_mv Reflectância
Fitoplâncton
Estimativa remota da clorofila-a
Reflectance
Phytoplankton
Remote estimation of chlorophyll-a
CNPQ::CIENCIAS HUMANAS::GEOGRAFIA
topic Reflectância
Fitoplâncton
Estimativa remota da clorofila-a
Reflectance
Phytoplankton
Remote estimation of chlorophyll-a
CNPQ::CIENCIAS HUMANAS::GEOGRAFIA
description The importance of monitoring phytoplankton communities and variables related to their constituents such as chlorophyll-a is undeniable due to its relation to the quality of the water. Even so, further improvements are necessary on the representativeness of the samples, aiming spatial and temporal pattern recognition of the given variables. Data and techniques of remote sensing have been mentioned as a viable alternative to supply this demand. In contrast, the remote estimation of phytoplankton chlorophyll-a concentration may still be seen as a challenge, mainly in bodies of water of case 2 classification, mostly due to the effects of different optically-active components on the sensing data, including the distinct phytoplankton organisms. For this purpose, algorithms were and currently are being developed. Among those, there are empirical models of a unique spectral band obtained in analysis of simple linear regression. However, this technique is only applicable when a single independent variable affects the dependent variable, which does not occur in bodies of water case 2 classification. Within this context, the general objective of the present work was to verify the adequacy of empirical models developed by simple linear regression to estimate phytoplankton chlorophyll-a from reflectance data in a unique spectral band and to demonstrate that phytoplankton organisms can be considered distinct optically-active components in the water. In order to meet this objective, phytoplankton organisms classified as Cyanophyceae, Euglenophyceae and Chlorophyceae were isolated and cultivated; samples of inorganic sediments were processed and geometries of illumination and acquisition of radiometry data were determined and controlled to perform this experiment in laboratory level, which consisted basically of water reflectance measurements in a tank, in distinct treatments related to the optically-active components present on it. The correlation analysis, simple linear regression and mean squared error, showed that the empirical models of a unique spectral band, developed by simple linear regression, may miscount the concentration of chlorophyll-a even when the water contains only phytoplankton, as the phytoplankton organisms cultivated have promoted distinct and reverse reflectance variation in relation to chlorophyll-a concentration variation and they may be considered distinct optically-active components in the water. In the presence of inorganic suspended solids the estimation errors may be even larger, as additive effects of this component on the reflectance of water variations are not subtracted by the model, but rather considered as being caused by chlorophyll-a. Therefore, the empirical models developed by simple linear regression from reflectance data of a single spectral band are inappropriate for estimating chlorophyll-a phytoplankton in bodies of water, as there is no single wavelength in the visible and infrared regions next to the electromagnetic spectrum that is affected only by the independent variable chlorophyll-a, even when there are only phytoplankton in the water.
publishDate 2019
dc.date.none.fl_str_mv 2019-08-30
2021-07-14T20:05:03Z
2021-07-14T20:05:03Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.ufsm.br/handle/1/21428
url http://repositorio.ufsm.br/handle/1/21428
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
Brasil
Geografia
UFSM
Programa de Pós-Graduação em Geografia
Centro de Ciências Naturais e Exatas
publisher.none.fl_str_mv Universidade Federal de Santa Maria
Brasil
Geografia
UFSM
Programa de Pós-Graduação em Geografia
Centro de Ciências Naturais e Exatas
dc.source.none.fl_str_mv reponame:Manancial - Repositório Digital da UFSM
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Manancial - Repositório Digital da UFSM
collection Manancial - Repositório Digital da UFSM
repository.name.fl_str_mv Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv atendimento.sib@ufsm.br||tedebc@gmail.com
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