@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/ibi/8JMKD3MGP3W34P/3LRECPB",
targetfile = "publicacao.pdf",
urlaccessdate = "27 abr. 2024"
}