@Article{AndradeAlcāBernKamp:2019:AsSeMo,
author = "Andrade, Caroline and Alc{\^a}ntara, Enner and Bernardo, Nariane
and Kampel, Milton",
affiliation = "{Universidade Estadual Paulista (UNESP)} and {Universidade
Estadual Paulista (UNESP)} and {Universidade Estadual Paulista
(UNESP)} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "An assessment of semi-analytical models based on the absorption
coefficient in retrieving the chlorophyll-a concentration from a
reservoir",
journal = "Advances in Space Research",
year = "2019",
volume = "63",
number = "7",
pages = "2175--2188",
month = "Apr.",
keywords = "Trophic status, Water quality monitoring, Inland water, Satellite
data.",
abstract = "Monitoring chlorophyll-a (Chl-a) concentrations in inland waters
is crucial for water quality management, since Chl-a is a proxy
for phytoplankton biomass and, thus, for ecological health of a
water environment. Chl-a concentration can be retrieved through
the inherent optical properties (IOPs) of a water system, which,
in turn, can be remotely sensed obtained. Quasi-analytical
algorithm (QAA), originally developed for ocean waters, can also
retrieve IOPs for inland waters after re-parameterizations. This
study is aimed at assessing the performance of sixteen schemes
composed by QAA original and re-parameterized versions followed by
models that use absorption coefficients as inputs for estimating
Chl-a concentration in Ibitinga reservoir, located at Tiete River
cascading system, Sao Paulo State, Brazil. It was verified that
only QAAV5 based schemes were able to obtain reasonable estimates
for image data and that by four models tested presented similar
and acceptable results for QAAV5 outputs. The best model were
applied to a Ocean and Land Colour Instrument (OLCI) image. Light
absorption in the reservoir showed to be dominated by colored
dissolved organic matter (CDOM), and wide spatial and temporal
variability of optical and water quality properties was
observed.",
doi = "10.1016/j.asr.2018.12.023",
url = "http://dx.doi.org/10.1016/j.asr.2018.12.023",
issn = "0273-1177 and 1879-1948",
language = "en",
targetfile = "andrade_assessment.pdf",
urlaccessdate = "27 abr. 2024"
}