@InProceedings{CarlosMartBarb:2019:SiSeCo,
author = "Carlos, Felipe Menino and Martins, Vitor de Souza and Barbosa,
Cl{\'a}udio Clemente Faria",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Iowa State
University} and {Instituto Nacional de Pesquisas Espaciais
(INPE)}",
title = "Sistema semi-autom{\'a}tico de corre{\c{c}}{\~a}o
atmosf{\'e}rica para multi-sensores orbitais",
booktitle = "Anais...",
year = "2019",
editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco
and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
pages = "1508--1511",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 19. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "Python, 6SV, Corre{\c{c}}{\~a}o atmosf{\'e}rica, Python, 6SV,
Atmospheric correction.",
abstract = "A acur{\'a}cia da corre{\c{c}}{\~a}o atmosf{\'e}rica para o
monitoramento de sistemas aqu{\'a}ticos {\'e} extremamente
importante, por estes ambientes apresentarem reflect{\^a}ncia
espectral normalmente baixa. Alguns estudos vem mostrando que a
aplica{\c{c}}{\~a}o do modelo 6SV de corre{\c{c}}{\~a}o
atmosf{\'e}rica, apresenta bons resultados para estes ambientes.
Por{\'e}m a usabilidade e automatiza{\c{c}}{\~a}o deste modelo
s{\~a}o baixas, por necessitar de recursos n{\~a}o presentes nos
metadados das imagens, al{\'e}m da baixa intuitividade na
utiliza{\c{c}}{\~a}o. Com o objetivo de facilitar a
aplica{\c{c}}{\~a}o deste modelo e de acelerar o procedimento de
corre{\c{c}}{\~a}o atmosf{\'e}rica em imagens dos sensores
Sentinel- 2/MSI, Landsat-8/OLI e Sentinel-3/OLCI desenvolveu-se um
sistema na linguagem de programa{\c{c}}{\~a}o Python, junto a
alguns pacotes auxiliares. Os resultados obtidos atrav{\'e}s do
programa foram validados por pesquisadores e alunos de
p{\'o}s-gradua{\c{c}}{\~a}o do Laborat{\'o}rio de
Instrumenta{\c{c}}{\~a}o de Sistemas Aqu{\'a}ticos
(http://www.dpi.inpe.br/labisa/). ABSTRACT: The accuracy of the
atmospheric correction for the monitoring of aquatic systems is
extremely important because these environments have normally low
spectral reflectance. Some studies have shown that the application
of the 6SV model of atmospheric correction present good results
for these environments. However, the usability and automation of
this model are low, because it requires resources not present in
the metadata of the images, besides the low intuitiveness in the
use. In order to facilitate the application of this model and to
accelerate the procedure of atmospheric correction in images of
the Sentinel-2 / MSI, Landsat-8 / OLI, and Sentinel-3 / OLCI
sensors, a system was developed in the Python programming language
with some auxiliary packages. The results obtained through the
program were validated by researchers and graduate students of the
Laboratory of Instrumentation of Aquatic Systems
(http://www.dpi.inpe.br/labisa/).",
conference-location = "Santos",
conference-year = "14-17 abril 2019",
isbn = "978-85-17-00097-3",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3UA4FG2",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3UA4FG2",
targetfile = "97884.pdf",
type = "Sensoriamento remoto de {\'a}guas interiores",
urlaccessdate = "01 jun. 2024"
}