@Article{PintoPoCaLeKaAaHe:2016:EvUnSp,
author = "Pinto, Cibele Teixeira and Ponzoni, Fl{\'a}vio Jorge and Castro,
Ruy M. and Leigh, Larry and Kaewmanee, Morakot and Aaron, David
and Helder, Dennis",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Evaluation of the uncertainty in the spectral band adjustment
factor (SBAF) for cross-calibration using Monte Carlo simulation",
journal = "Remote Sensing Letters",
year = "2016",
volume = "7",
number = "9",
pages = "837--846",
abstract = "Cross-calibration is one of the various methods applied for Earth
Observation Satellites sensor calibration. In the
cross-calibration procedure, one sensor is calibrated against
another sensor, in which the radiometric calibration is better
known, via near-simultaneous imaging of a common ground target.
One of the most important steps during the cross-calibration is
the Spectral Band Adjustment Factor (SBAF) assessment. The SBAF is
used to compensate the differences in the spectral responses of
the sensors, avoiding large uncertainties in cross-calibration
results. The investigation described in this work focussed on the
evaluation of the SBAFs inherent uncertainties using Monte Carlo
Simulation method. Basically, the Monte Carlo approach is based on
calculating multiple integral by random sampling. The SBAFs were
developed for analogous Landsat 8 Operational Land Imager and
CBERS 4 Multispectral Camera spectral bands. The Hyperion
hyperspectral sensor on-board Earth Observing-1 was utilized to
understand the spectral profile of the target and to derive the
SBAF. This study was performed over two pseudo invariant
calibration sites: Algodones Dunes and Libya-4. The spectral
uncertainty of the SBAFs using Monte Carlo was found to be within
0.011.79%. The results suggested that the uncertainty of the SBAFs
is dependent on the correlation between the input variables: the
higher the correlation, the lowest is the SBAF uncertainty.",
doi = "10.1080/2150704x.2016.1190474",
url = "http://dx.doi.org/10.1080/2150704x.2016.1190474",
issn = "2150-704X",
label = "lattes: 6400276533232777 1 PintoPoCaLeKaAaHe:2016:EvUnSp",
language = "en",
targetfile = "remotesensing-08-00405.pdf",
urlaccessdate = "27 abr. 2024"
}