@InProceedings{PintoCasPonLeiHel:2017:UnEvTO,
author = "Pinto, Cibele Teixeira and Castro, Ruy Morgado de and Ponzoni,
Fl{\'a}vio Jorge and Leigh, Larry and Helder, Dennis",
affiliation = "{} and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Uncertainty Evaluation of the TOA Radiance Predicted by
MODTRAN-5",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "1068--1075",
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 = "The reflectance-based approach is a calibration method in which
in-situ radiometric measurements of a selected target on the Earth
surface and atmospheric parameters are used as input into a
radiative transfer model for estimating a top-of-atmosphere (TOA)
radiance. However, an estimate of the TOA radiance is incomplete
unless complemented with its uncertainty. This work described a
methodology for predicting TOA radiance with an associated
uncertainty. Two different methods of uncertainty propagation were
applied: ISO GUM and Monte Carlo. In both methods the TOA radiance
was calculated using the atmospheric radiative transfer code
MODTRAN. Vicarious calibration data collected on August 21st, 2014
at Atacama Desert, Chile and on July 25th, 2014 at Lu{\'{\i}}s
Eduardo Magalh{\~a}es, Brazil were used to evaluate the
methodology. The results, for the wavelength between 350 to
2400nm, showed that using an agricultural area covered by soil
surface (Brazil) the final uncertainty of the TOA radiance ranged
from 1.0% to 9.2%; and using a desert surface (Chile) the final
uncertainty ranged from 0.7% to 4.5%. The results also showed that
the overall uncertainty using Monte Carlo simulations were smaller
than the root sum of squares of each parameter (ISO GUM),
suggesting that there is correlation among some parameter that is
not take into account when the data are considered independent.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59619",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PS4G52",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS4G52",
targetfile = "59619.pdf",
type = "Radiometria e sensores",
urlaccessdate = "28 abr. 2024"
}