@Article{SilvaCarNovJorBar:2020:UsOpAb,
author = "Silva, Maria Paula da and Carvalho, Lino Augusto Sander de and
Novo, Evlyn M{\'a}rcia Le{\~a}o de Moraes and Jorge, Daniel
Schaffer Ferreira and Barbosa, Cl{\'a}udio Clemente Faria",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)}",
title = "Use of optical absorption indices to assess seasonal variability
of dissolved organic matter in Amazon floodplain lakes",
journal = "Biogeosciences",
year = "2020",
volume = "17",
number = "21",
pages = "5355--5364",
month = "Nov.",
abstract = "Given the importance of dissolved organic matter (DOM) in the
carbon cycling of aquatic ecosystems, information on its seasonal
variability is crucial. In this study we assess the use of optical
absorption indices available in the literature based on in situ
data to both characterize the seasonal variability of DOM in a
highly complex environment and for application in large-scale
studies using remote sensing data. The study area comprises four
lakes located in the Mamirau{\'a} Sustainable Development Reserve
(MSDR). Samples for the determination of colored dissolved organic
matter (CDOM) and measurements of remote sensing reflectance (Rrs)
were acquired in situ. The Rrs was used to simulate the response
of the visible bands of the Sentinel-2 MultiSpectral Instrument
(MSI), which was used in the proposed models. Differences between
lakes were tested using the CDOM indices. The results highlight
the role of the flood pulse in the DOM dynamics at the floodplain
lakes. The validation results show that the use of the absorption
coefficient of CDOM (aCDOM) as a proxy of the spectral slope
between 275 and 295 nm (S275295) during rising water is
worthwhile, demonstrating its potential application to Sentinel-2
MSI imagery data for studying DOM dynamics on the large scale.",
doi = "10.5194/bg-17-5355-2020",
url = "http://dx.doi.org/10.5194/bg-17-5355-2020",
issn = "1726-4170",
language = "en",
targetfile = "silva_use.pdf",
urlaccessdate = "19 abr. 2024"
}