@InProceedings{CarvalhoMarLobBarNov:2017:CaLaGr,
author = "Carvalho, Lino Augusto Sander de and Martins, Vitor Souza and
Lobo, Felipe de Lucia and Barbosa, Cl{\'a}udio Clemente Faria and
Novo, Evlyn M{\'a}rcia Le{\~a}o de Moraes",
affiliation = "{} and {} and {} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Investigating empirical models to retrieve the backscattering
slope from Landsat 8 Images - The case of Lago Grande Curuai",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "2067--2074",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "This paper aims on the investigation of well-established models to
retrieve the backscattering slope \γbbp from remote sensing
images applied to a particular Amazon floodplain lake, named
Curuai Lake. Lee, Carder e Arnone (2002) \γbbp model and its
derivation, Pan et al. (2015) model, were applied to measured
Remote Sensing Reflectance and retrieved bbp was compared to
measured bbp taken in two distinct hydrological periods: receding
and rising water periods (August 2013 and April 2014). Also, an
empirical model, based on Lee, Carder e Arnone (2002) approach,
was derived from a nonlinear fittingto the measured dataset,
considering only Landsat 8 bands combination. Lee, Carder e Arnone
(2002)and Pan et al. (2015) models were not suitable to retrieve
backscattering slope in Curuai Lake whistthe empirical model using
bands B4(655)/B5(865) presented the best result considering both
hydrologicalperiods and was therefore applied to Landsat 8 images
acquired in August 2013 and April 2014. Thequalitative inspection
of both images reveal consistent backscattering slope retrievals
which, with furtheranalysis, could lead to a suitable proxy for
particle size in Curuai Lake.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59254",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSLPT6",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLPT6",
targetfile = "59254.pdf",
type = "Sensoriamento remoto de {\'a}guas interiores",
urlaccessdate = "27 abr. 2024"
}