Fechar
Metadados

@PhDThesis{Carvalho:2016:BiChAm,
               author = "Carvalho, Lino Augusto Sander de",
                title = "Bio-optical characterization of Amazon floodplain lakes and 
                         evaluation of the retrieval of optically active constituent using 
                         remote sensing",
               school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                 year = "2016",
              address = "S{\~a}o Jos{\'e} dos Campos",
                month = "2016-04-18",
             keywords = "Amazon floodplain lakes, hydrological optics, lakes biooptical 
                         properties, semi-analytical modeling, lagos de v{\'a}rzea 
                         Amaz{\^o}nica, {\'o}ptica hidrol{\'o}gica, propriedades 
                         bio-{\'o}pticas de lagos, modelagem semi-anal{\'{\i}}tica.",
             abstract = "Amazon floodplain lakes play a substantial role in global and 
                         regional biogeochemical Amazonian processes. Due to their size, 
                         sampling strategies usually applied in limnological studies are 
                         not suitable and therefore, Remote Sensing (RS) techniques figure 
                         as an alternative due to the high temporal and synoptic 
                         characteristics. However, the use of RS demands precise lake 
                         bio-optical characterization in order to provide reliable 
                         estimates of optical active components (OAC).This work focused on 
                         the study of Curuai Lake which is a suitable example of a 
                         Brazilian Amazon floodplain lake. Curuai lake was sampled in four 
                         field campaigns (September/2012, February and August/2013 and 
                         April/2014) where Apparent Optical Properties-AOP (R\$_{rs}\$ 
                         and K-functions), in situ Inherent Optical Properties-IOP 
                         (Attenuation, Absorption, Backscattering profiles and Particle 
                         Size Distribution (PSD)) as well as laboratory analysis (AOC 
                         concentration and absorption) were measured. A data quality 
                         assessment was performed to test the suitability of commercial 
                         instrumentation (ACS and Hydroscat) for turbid environments as 
                         well as commonly used AOP/IOP measurement methodologies. The 
                         optical characterization compared datasets from each fieldcampaign 
                         for surface and profile measurements. Also three semi-analytical 
                         inverse models (Nechad Algorithm (NECHAD et al., 2010), 
                         Quasi-Analytical Algorithm (QAA) (LEE et al., 2002) and 
                         Generalized ocean color inversion model (GIOP) (WERDELL et al., 
                         2013)) were tested using measured AOP and IOPs. Data quality 
                         assessment show that sun/skyglint effects have the highest impact 
                         on above water remote sensing measurements R\$_{rs}\$ 
                         (R\$_{Ab}\$\$^{rs}\$ ). Highest errors were found for In-water 
                         derived AOPs (R\$_{lw}\$\$^{rs}\$ and K-functions), but 
                         despite the the different tested approaches their differences are 
                         commonly in the 10 to 15 \% interval. For in situ IOPs, the 
                         Hydrolight IOP/AOP closure experiments resulted in mismatches from 
                         50 \% to 100\% depending on the field campaign. Among the 
                         corrections tested for ACS/Hydroscat errors, the Doxaran (DOXARAN 
                         et al., 2013) and Rottgers (R{\"o}TTGERS et al., 2013) methods 
                         were the most suitable. RESUMO: Lagos de v{\'a}rzea 
                         amaz{\^o}nico desempenha um papel importante nos processos 
                         biogeoqu{\'{\i}}micos globais e regionais da Amaz{\^o}nia. 
                         Devido ao seu tamanho, estrat{\'e}gias de amostragem normalmente 
                         aplicados em estudos limnol{\'o}gicos n{\~a}o s{\~a}o adequadas 
                         e, portanto, t{\'e}cnicas de sensoriamento remoto (SR) se 
                         apresentam como uma alternativa devido {\`a}s sua alta 
                         resolu{\c{c}}{\~a}o temporal e vis{\~a}o sin{\'o}ptica. No 
                         entanto, o uso de SR exige uma caracteriza{\c{c}}{\~a}o 
                         bio-{\'o}ptica precisa, a fim de fornecer estimativas 
                         confi{\'a}veis de componentes ativos {\'o}pticos (COA). Este 
                         trabalho teve como foco de estudo o Lago Curuai que {\'e} um 
                         exemplo representativo de lagos de plan{\'{\i}}cie de 
                         inunda{\c{c}}{\~a}o da Amaz{\^o}nia brasileira. O Lago Curuai 
                         foi amostrado em quatro campanhas de campo (setembro/2012, 
                         fevereiro e agosto/2013 e abril/2014) em que Propriedades 
                         {\'O}pticas Aparentes - POA (R\$_{rs}\$ e K-functions), 
                         Propriedades {\'O}pticas Inerentes POI in situ (coeficientes de 
                         atenua{\c{c}}{\~a}o, absor{\c{c}}{\~a}o, retroespalhamento e 
                         al{\'e}m de distribui{\c{c}}{\~a}o de tamanho de 
                         part{\'{\i}}culas (DTP)), bem como an{\'a}lises de 
                         laborat{\'o}rio (concentra{\c{c}}{\~a}o e absor{\c{c}}{\~a}o 
                         de COA) foram medidos. Uma avalia{\c{c}}{\~a}o da qualidade dos 
                         dados foi realizada para testar a capacidade de 
                         instrumenta{\c{c}}{\~a}o comercial (ACS e Hydroscat) para a 
                         extra{\c{c}}{\~a}o de informa{\c{c}}{\~o}es em ambientes 
                         t{\'u}rbidos, bem como os m{\'e}todos de medi{\c{c}}{\~a}o POA 
                         / POI comumente usados. A caracteriza{\c{c}}{\~a}o bio-optica 
                         comparou conjuntos de dados de cada campanha de campo, para 
                         medi{\c{c}}{\~o}es de superf{\'{\i}}cie e do perfil. Al{\'e}m 
                         disto, tr{\^e}s modelos inversos semi-anal{\'{\i}}ticos 
                         (Algoritmo de Nechad (NECHAD et al., 2010), Quasi-Analytical 
                         Algorithm (QAA) (LEE et al., 2002) e Generalized ocean color 
                         inversion model (GIOP) (WERDELL et al., 2013)) foram testados 
                         utilizando as POA e POI medidas. A avalia{\c{c}}{\~a}o da 
                         qualidade demonstrou que os efeitos do sol/skyglint t{\^e}m o 
                         maior impacto sobre as medi{\c{c}}{\~o}es de sensoriamento 
                         remoto acima da {\'a}gua r (R\$_{Ab}\$\$^{rs}\$ ). Erros mais 
                         altos foram encontrados para as POA derivados dentro da {\'a}gua 
                         (In-Water) (R\$_{lw}\$\$^{rs}\$ e K-fun{\c{c}}{\~o}es), mas, 
                         apesar das diferentes abordagens testadas, suas diferen{\c{c}}as 
                         est{\~a}o comumente no intervalo de 10 a 15\%. Para as in situ 
                         POI, os experimentos de fechamento (Closure) utilizando o 
                         Hydrolight entre POA e POI resultaram em erros de 50 \% a 100 
                         \%, dependendo da campanha de campo. Entre as 
                         corre{\c{c}}{\~o}es testadas para erros dos equipamentos 
                         ACS/Hydroscat, as corre{\c{c}}{\~o}es de Doxaran (DOXARAN et 
                         al., 2013) e Rottgers (R{\"o}TTGERS et al., 2013) foram as mais 
                         adequados.",
            committee = "Barbosa, Cl{\'a}udio Clemente Faria (presidente/orientador) and 
                         Novo, Evlyn M{\'a}rcia Le{\~a}o de Moraes (orientadora) and 
                         Lorenzetti, Jo{\~a}o Antonio and Rudorff, Nat{\'a}lia de Moraes 
                         and Noernberg, Mauricio Almeida and Boss, Emmanuel",
           copyholder = "SID/SCD",
         englishtitle = "Caracteriza{\c{c}}{\~a}o bio-{\'o}ptica de lagos da 
                         plan{\'{\i}}cie inund{\'a}vel amaz{\^o}nica e 
                         avalia{\c{c}}{\~a}o da recupera{\c{c}}{\~a}o de constituintes 
                         opticamente ativos utilizando sensoriamento remoto",
             language = "en",
                pages = "201",
                  ibi = "8JMKD3MGP3W34P/3LRECPB",
                  url = "http://urlib.net/rep/8JMKD3MGP3W34P/3LRECPB",
           targetfile = "publicacao.pdf",
        urlaccessdate = "05 dez. 2020"
}


Fechar