Fechar
Metadados

@MastersThesis{Silva:2018:MoSeRe,
               author = "Silva, Maria Paula da",
                title = "Modelos de sensoriamento remoto no estudo da variabilidade 
                         espacial e sazonal da mat{\'e}ria org{\^a}nica dissolvida em 
                         lagos da plan{\'{\i}}cie de inunda{\c{c}}{\~a}o do 
                         Solim{\~o}es/Amazonas a partir de suas propriedades {\'o}ticas",
               school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                 year = "2018",
              address = "S{\~a}o Jos{\'e} dos Campos",
                month = "2018-03-26",
             keywords = "MOD, CDOM, COD, {\'{\i}}ndices {\'o}pticos, lagos, 
                         plan{\'{\i}}cie de inunda{\c{c}}{\~a}o Amaz{\^o}nica, DOM, 
                         CDOM, DOC, optical indices, lakes, Amazon floodplain.",
             abstract = "O pulso de inunda{\c{c}}{\~a}o dos rios da plan{\'{\i}}cie 
                         Amaz{\^o}nica afeta a propor{\c{c}}{\~a}o de Mat{\'e}ria 
                         Org{\^a}nica Dissolvida (MOD) aut{\'o}ctone e al{\'o}ctone 
                         presente nos lagos da plan{\'{\i}}cie ao longo do ano. Dado o 
                         papel da MOD no ciclo do carbono dos ecossistemas aqu{\'a}ticos, 
                         a informa{\c{c}}{\~a}o sobre suas fontes e sua din{\^a}mica 
                         espa{\c{c}}o-temporal {\'e} crucial. Esse estudo teve como 
                         objetivo entender a din{\^a}mica da MOD utilizando 
                         {\'{\i}}ndices {\'o}pticos dispon{\'{\i}}veis na literatura, 
                         derivados de dados in situ e modelos de sensoriamento remoto. 
                         Foram analisados lagos em duas {\'a}reas de estudo: uma na 
                         plan{\'{\i}}cie de inunda{\c{c}}{\~a}o do Solim{\~o}es e 
                         outra na plan{\'{\i}}cie de inunda{\c{c}}{\~a}o do baixo 
                         Amazonas. Dados in situ de a\$_{CDOM}\$, 
                         concentra{\c{c}}{\~a}o de Carbono Org{\^a}nico Dissolvido (COD) 
                         e Reflect{\^a}ncia de Sensoriamento Remoto (R\$_{SR}\$) foram 
                         adquiridos em campanhas de campo realizadas entre 2015 e 2016 pelo 
                         Laborat{\'o}rio de Instrumenta{\c{c}}{\~a}o de Sistemas 
                         Aqu{\'a}ticos (LabISA). A forma e a amplitude dos espectros de 
                         a\$_{CDOM}\$ foram utilizadas para inferir sobre as fontes e 
                         processos de degrada{\c{c}}{\~a}o da MOD. Na regi{\~a}o do 
                         Solim{\~o}es, foram encontradas diferen{\c{c}}as significativas 
                         no valor de a\$_{CDOM}\$ (440) entre Buabu{\'a} e Mamirau{\'a} 
                         na enchente e os demais lagos e per{\'{\i}}odos. Tamb{\'e}m 
                         houveram diferen{\c{c}}as na forma dos espectros e valor de 
                         S\$_{275-295}\$ entre os dados de Buabu{\'a} e Mamimirau{\'a} 
                         na enchente e os demais. Em geral, os resultados sugerem que a MOD 
                         {\'e} principalmente al{\'o}ctone nos lagos Buabu{\'a} e 
                         Mamirau{\'a} durante a enchente enquanto que na vazante n{\~a}o 
                         h{\'a} diferen{\c{c}}as significativas nas propriedades da MOD 
                         entre todos lagos analisados. Al{\'e}m disso, a baixa cobertura 
                         de nuvens (e radia{\c{c}}{\~a}o) nos meses da vazante favorece 
                         os processos de fotodegrada{\c{c}}{\~a}o, limitando a capacidade 
                         de infer{\^e}ncia da origem da MOD. Na regi{\~a}o do baixo 
                         Amazonas, durante a enchente a MOD {\'e} principalmente 
                         aut{\'o}ctone e possui baixo peso molecular. Na cheia e vazante, 
                         a MOD {\'e} mais recente e apresenta maior peso molecular, sendo 
                         provavelmente originada da vegeta{\c{c}}{\~a}o do entorno dos 
                         lagos. No Lago Grande de Curuai, a entrada de {\'a}gua de 
                         diferentes fontes dificulta as an{\'a}lises da din{\^a}mica da 
                         MOD. Nas duas regi{\~o}es, s{\'o} foi poss{\'{\i}}vel 
                         estabelecer uma rela{\c{c}}{\~a}o significativa entre 
                         a\$_{CDOM}\$ e S\$_{275-295}\$ em fases espec{\'{\i}}ficas 
                         da hidr{\'o}grafa: enchente (Solim{\~o}es e baixo Amazonas) e 
                         cheia (baixo Amazonas). A rela{\c{c}}{\~a}o entre e 
                         a\$_{CDOM}\$ e COD s{\'o} mostrou forte tend{\^e}ncia linear 
                         (r\$^{}\$=0,82) para os lagos Buabu{\'a} e Mamiaru{\'a}, 
                         indicando que mudan{\c{c}}as qualitativas na MOD podem afetar a 
                         correla{\c{c}}{\~a}o entre essas vari{\'a}veis. A RSR foi 
                         simulada para as bandas do vis{\'{\i}}vel do sensor OLI/ 
                         Landsat-8 e MSI/ Sentinel-2A e a simula{\c{c}}{\~a}o Monte Carlo 
                         foi utilizada para calibrar os modelos. Os modelos testados da 
                         literatura para estimar a\$_{CDOM}\$ se mostraram ineficientes. 
                         O novo modelo proposto nesse trabalho para estimativa do 
                         a\$_{CDOM}\$ nos lagos da plan{\'{\i}}cie de 
                         inunda{\c{c}}{\~a}o Amaz{\^o}nica obteve resultados promissores 
                         com a utiliza{\c{c}}{\~a}o de mais bandas, demonstrando 
                         potencial de aplica{\c{c}}{\~a}o. ABSTRACT: The rivers flood 
                         pulse of the Amazonian floodplain affects the proportion of 
                         autochthonous and allochthonous Dissolved Organic Matter (DOM) 
                         present in the floodplain lakes throughout the year. Given the 
                         role of DOM in the carbon cycle of aquatic ecosystems, information 
                         of its sources and spatio-temporal dynamics is crucial. This study 
                         aimed to understand DOM dynamics using optical indexes available 
                         in the literature, derived from in situ data and remote sensing 
                         models. Lakes were analyzed in two study areas: the Solim{\~o}es 
                         floodplain and the low Amazon floodplain. In situ data of 
                         a\$_{CDOM}\$, Dissolved Organic Carbon Concentration (DOC) and 
                         Remote Sensing Reflectance (RRS) were acquired in field campaigns 
                         conducted between 2015 and 2016 by the Instrumentation Laboratory 
                         for Aquatic Systems (LabISA). The shape and intensity of the 
                         a\$_{CDOM}\$ spectra were used to infer about DOM sources and 
                         degradation processes. In the Solim{\~o}es region, significant 
                         differences were found in a\$_{CDOM}\$ (440) values between 
                         Buabu{\'a} and Mamirau{\'a} in the rising and the other lakes 
                         and periods. There were also differences in the shape of the 
                         spectra and value of S\$_{275-295}\$ between Buabu{\'a} and 
                         Mamimirau{\'a} in the rising and the others. In general, the 
                         results suggest that DOM is mainly allochthonous in the 
                         Buabu{\'a} and Mamirau{\'a} lakes during rising, while in the 
                         receding there are no significant differences in DOM properties 
                         among all the lakes analyzed. In addition, the low percentage of 
                         cloud cover in the months of the receding favors the 
                         photodegradation processes, limiting the inference of DOM origin. 
                         In the lower Amazon region, during the flood, DOM is mainly 
                         autochthonous and has lower molecular weight. In the flood and 
                         receding, DOM is more recent and present higher molecular weight, 
                         being probably originated from the vegetation around the lakes. In 
                         Lago Grande, the entrance of water from different sources makes it 
                         difficult to analyze the dynamics of DOM. The relationship between 
                         a\$_{CDOM}\$ and DOC only a strong linear trend (r\$^{}\$ = 
                         0.82) for Buabu{\'a} and Mamiaru{\'a} lakes, indicating that 
                         changes in DOM can affect the correlation between these variables. 
                         In the two regions, it was only possible to establish a 
                         significant relationship between a\$_{CDOM}\$ and 
                         S\$_{275-295}\$ in specific hydrograph phases: rising 
                         (Solim{\~o}es and low Amazonas) and flood (low Amazonas). The RRS 
                         was simulated for OLI/ Landsat-8 and MSI/ Sentinel-2A visible 
                         bands and Monte Carlo simulation was used to calibrate the models. 
                         The models tested from the literature to estimate a\$_{CDOM}\$ 
                         were inefficient. The new model proposed in this work to estimate 
                         a\$_{CDOM}\$ in Amazon floodplain lakes obtained promising 
                         results with the use of more bands, demonstrating application 
                         potential.",
            committee = "Barbosa, Cl{\'a}udio Clemente Faria (presidente) and Novo, Evlyn 
                         M{\'a}rcia Le{\~a}o de Moraes (orientadora) and Carvalho, Lino 
                         Augusto Sander de (orientador) and Kampel, Milton and Oliveira, 
                         Nat{\'a}lia Rudorff and Dalmagro, Higo Jos{\'e}",
         englishtitle = "Remote sensing models applied in the study of spatial and seasonal 
                         variability of dissolved organic matter in lakes of Solim{\~o}es/ 
                         Amazonas floodplain based on its optical properties",
             language = "pt",
                pages = "121",
                  ibi = "8JMKD3MGP3W34R/3QM7MSS",
                  url = "http://urlib.net/rep/8JMKD3MGP3W34R/3QM7MSS",
           targetfile = "publicacao.pdf",
        urlaccessdate = "04 dez. 2020"
}


Fechar