@Article{SilvaCarNovJorBar:2019:UsAbOp,
author = "Silva, Maria Paula da and Carvalho, Lino A. Sander de and Novo,
Evlyn M{\'a}rcia Le{\~a}o de Moraes and Jorge, Daniel S. F. and
Barbosa, Cl{\'a}udio Clemente Faria",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and
{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Use of absorption optical indices to assess seasonal variability
of dissolved organic matter in amazon floodplain lakes",
journal = "Biogeosciences Discussions",
year = "2019",
volume = "2019",
number = "324",
abstract = "Given the importance of DOM in the carbon cycling of aquatic
ecosystems, information on its seasonal variability is crucial.
This study assesses the use of available absorption optical
indices based on in situ data to both characterize the seasonal
variability of the DOM dynamics in a highly complex environment
and their viability of being used for satellite remote sensing on
large scale studies. The study area comprises four lakes located
at the Mamirau{\'a} Sustainable Development Reserve (MSDR).
Samples for the determination of coloured dissolved organic matter
(CDOM) and remote sensing reflectance (Rrs) were acquired in situ.
The Rrs was applied to simulate MSI visible bands and used in the
proposed models. Differences between lakes were tested regarding
CDOM indices. Significant difference in the average of aCDOM
(440), aCDOM spectra and S275295 were found between lakes located
inside the flood forest and those near the river bank. The
proposed model showed that aCDOM can be used as proxy of S275295
during rising water with good validation results, demonstrating
the potential of Sentinel/MSI imagery data in large scale studies
on the dynamics of DOM.",
doi = "10.5194/bg-2019-324",
url = "http://dx.doi.org/10.5194/bg-2019-324",
issn = "1810-6277",
language = "en",
targetfile = "silva_use.pdf",
urlaccessdate = "27 abr. 2024"
}