@PhDThesis{Pinto:2016:UnEvIn,
author = "Pinto, Cibele Teixeira",
title = "Uncertainty evaluation for in flight radiometric calibration of
earth observation sensors",
school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
year = "2016",
address = "S{\~a}o Jos{\'e} dos Campos",
month = "2016-07-07",
keywords = "radiometric calibration, uncertainties, reflectance-based
approach, cross-calibration, orbital sensor,
calibra{\c{c}}{\~a}o radiom{\'e}trica, incertezas,
calibra{\c{c}}{\~a}o cruzada, sensor orbital.",
abstract = "The absolute radiometric calibration is a prerequisite for
creating high-quality science data, and consequently, higher-level
Earth observation sensors products. The radiometric calibration
uncertainty is the key that describes the reliability of
calibration results. The main objective of this present work was
to develop a method to evaluate the uncertainties inherent in the
in-flight absolute radiometric calibration of Earth observation
sensors. The methodology developed and tested confirms the
hypothesis that the method proposed here is compatible and
comparable with other methods practiced by the international
science community of satellite radiometric calibration. The
uncertainties were determined for two methods of absolute
radiometric calibration: reflectance based approach and
cross-calibration method. The reflectance-based approach was
performed using four different reference surfaces: (a) west part
of the Bahia State, Brazil; (b) Atacama Desert, Chile; (c)
Algodones Dunes, USA; and (d) South Dakota State University (SDSU)
site, USA. Regarding the reflectance-based approach, the main
sources of uncertainty are: (a) the instruments used for the
reference surface characterization; (b) atmosphere
characterization parameters; (c) surface reflectance factor; and
(d) radiative transfer code (MODTRAN). The spectroradiometer
instrumental uncertainties in laboratory were lower than 1\%. The
reference panel relative uncertainties were less than 0.25\%. The
columnar water vapor was derived from the spectral band of the
solar photometer centered on 940 nm with an uncertainty lower than
5\%. The aerosol optical depth relative uncertainties ranged from
2 12\% in Brazil, 1 5\% in Chile, 1-11\% in Algodones Dunes and
less than 1.2\% in SDSU site. The most important information
related to the reflectance based method is the retrieved surface
reflectance factor at the time of sensor overpass the site
measured in field. The relative uncertainty of the Algodones Dunes
and Atacama Desert reflectance factor was lower than 5\%; and the
relative uncertainty of Brazil and SDSU reflectance factor ranged
from 3\% to 10\%. The second major source of uncertainty was the
accuracy of MODTRAN (2\%). The final uncertainty of the TOA
radiance predicted by MODTRAN in Brazil and in SDSU site was lower
than 10\%. The final uncertainty of the TOA radiance predicted by
MODTRAN in Atacama Desert and in Algodones Dunes site was lower
than 5.5\%. These values are the overall total uncertainty of the
reflectance based method in the spectral range of 350 to 2400 nm.
The cross calibration between both MUX and WFI on-board CBERS 4
and the OLI on board Landsat-8 was performed using the Libya-4 and
Atacama Desert sites. During the cross calibration it is necessary
to correct the intrinsic offsets between two sensors caused by
Spectral Response Function (SRF) mismatches using a spectral band
adjustment factor (SBAF). Thus, one of the sources of uncertainty
in the cross calibration is the SBAF, which depend on the
uncertainty of the target spectral profile and the SRF uncertainty
of the two sensors. Here, the SBAF was estimated with an
uncertainty lower than 2\%. The overall total uncertainty
achieved here with cross calibration method using the Libya-4 and
Atacama Desert sites was less than 6.5\%. The dominant source of
uncertainty in cross calibration is the uncertainty associated
with the sensor selected as reference. The OLI produces data
calibrated to an uncertainty of less than 5\% in terms of
radiance. Brazil now has a quantitative indication of the quality
of the absolute calibration final results. In addition, the
country now has autonomy and reliability in the data provided by
sensors of national Earth observation program. RESUMO: A
capacidade de detectar e quantificar as mudan{\c{c}}as na
superf{\'{\i}}cie terrestre utilizando dados de sensoriamento
remoto depende de sensores de observa{\c{c}}{\~a}o da Terra que
forne{\c{c}}am medi{\c{c}}{\~o}es precisas e consistentes ao
longo do tempo. Uma etapa essencial para garantir esta qualidade e
consist{\^e}ncia nos dados {\'e} a realiza{\c{c}}{\~a}o da
calibra{\c{c}}{\~a}o radiom{\'e}trica absoluta, cuja
confiabilidade {\'e} quantificada por meio do c{\'a}lculo das
incertezas envolvidas no processo. O objetivo principal deste
trabalho {\'e} apresentar um m{\'e}todo para avaliar as
incertezas inerentes {\`a}s miss{\~o}es de
calibra{\c{c}}{\~a}o radiom{\'e}trica absoluta de sensores de
observa{\c{c}}{\~a}o da Terra ap{\'o}s seu lan{\c{c}}amento. A
metodologia desenvolvida e testada confirma a hip{\'o}tese de que
o m{\'e}todo proposto {\'e} compat{\'{\i}}vel e
compar{\'a}vel com outros m{\'e}todos praticados pela comunidade
cient{\'{\i}}fica internacional de calibra{\c{c}}{\~a}o
radiom{\'e}trica de sensores abordo de sat{\'e}lite. As
incertezas foram determinadas para dois m{\'e}todos de
calibra{\c{c}}{\~a}o radiom{\'e}trica absoluta:
reflectance-based e calibra{\c{c}}{\~a}o cruzada. O m{\'e}todo
reflectance-based foi realizado em quatro superf{\'{\i}}cies de
refer{\^e}ncia distintas: (a) oeste do estado da Bahia, Brasil;
(b) Deserto do Atacama, Chile; (c) Algodones Dunes, EUA; e (d)
South Dakota State University (SDSU), EUA. As principais fontes de
incerteza relacionadas ao m{\'e}todo reflectance based s{\~a}o:
(a) os instrumentos utilizados para a caracteriza{\c{c}}{\~a}o
da superf{\'{\i}}cie de refer{\^e}ncia; (b) os par{\^a}metros
de caracteriza{\c{c}}{\~a}o da atmosfera; (c) o fator de
reflect{\^a}ncia da superf{\'{\i}}cie; e (d) o modelo de
transfer{\^e}ncia radiativa (MODTRAN). As incertezas
instrumentais relacionadas ao espectrorradi{\^o}metro foram
menores que 1\%. As incertezas da placa de refer{\^e}ncia foram
menores que 0,25\%. O conte{\'u}do de vapor d{\'a}gua foi
derivado da banda espectral do fot{\^o}metro solar centralizada
em 940 nm com uma incerteza menor que 5\%. A incerteza relativa
da profundidade {\'o}ptica do aerossol variou entre 2 e 12\% no
Brasil, 1 a 5\% no Chile, 1 a 11\% em Algodones Dunes e foi
menor que 1,2 \% na SDSU. A informa{\c{c}}{\~a}o de maior
import{\^a}ncia do m{\'e}todo reflectance-based {\'e} o fator
de reflect{\^a}ncia da superf{\'{\i}}cie medido no momento em
que o sensor sobrevoou a superf{\'{\i}}cie em campo. A incerteza
relativa do fator de reflect{\^a}ncia de Algodones Dunes e do
Deserto do Atacama foi menor que 5\% enquanto do Brasil e na SDSU
variou entre 3 e 10\%. A segunda maior fonte de incerteza se
referiu {\`a} precis{\~a}o do MODTRAN (2\%). A incerteza final
da radi{\^a}ncia no topo da atmosfera estimada pelo MODTRAN no
Brasil e na SDSU foi menor que 10\%. A incerteza final da
radi{\^a}ncia no topo da atmosfera estimada pelo MODTRAN no
Deserto do Atacama e em Algodones Dunes foi menor que 5,5\%.
Esses valores correspondem {\`a} incerteza total global do
m{\'e}todo reflectance based para a regi{\~a}o espectral entre
350 e 2400 nm. A calibra{\c{c}}{\~a}o cruzada dos sensores MUX e
WFI a bordo do CBERS-4 com o sensor OLI a bordo do Landsat-8 foi
realizada utilizando duas {\'a}reas distintas: Libya-4 e o
Deserto do Atacama. Durante o processo de calibra{\c{c}}{\~a}o
cruzada {\'e} necess{\'a}rio corrigir as diferen{\c{c}}as das
fun{\c{c}}{\~o}es de resposta espectral (SRF) dos dois sensores
envolvidos. Essa corre{\c{c}}{\~a}o {\'e} realizada mediante
aplica{\c{c}}{\~a}o do fator de ajuste de banda espectral
(SBAF). Assim, uma das fontes de incertezas no processo de
calibra{\c{c}}{\~a}o cruzada {\'e} o pr{\'o}prio SBAF, no qual
depende da incerteza do perfil espectral do alvo e da incerteza da
SRF dos dois sensores (sensor de refer{\^e}ncia e sensor a ser
calibrado). Neste trabalho, o SBAF foi estimado com uma incerteza
menor que 2\%. A incerteza total global no m{\'e}todo de
calibra{\c{c}}{\~a}o cruzada utilizando o Deserto do Atacama e a
L{\'{\i}}bya-4 foi menor que 6,5\%. A fonte de incerteza
dominante na calibra{\c{c}}{\~a}o cruzada {\'e} a incerteza
associada ao sensor selecionado como refer{\^e}ncia. O sensor OLI
produz dados calibrados de radi{\^a}ncia com uma incerteza menor
que 5\%. O Brasil agora possui uma indica{\c{c}}{\~a}o
quantitativa da qualidade do resultado final da
calibra{\c{c}}{\~a}o radiom{\'e}trica absoluta. Al{\'e}m
disso, o pa{\'{\i}}s tamb{\'e}m passa a possuir autonomia e
confiabilidade nos dados disponibilizados por sensores do programa
nacional de observa{\c{c}}{\~a}o da Terra, como por exemplo, o
CBERS 4.",
committee = "Ponzoni, Fl{\'a}vio Jorge (presidente/orientador) and Castro, Ruy
Morgado de (orientador) and Lorenzzetti, Jo{\~a}o Antonio and
Moraes, Elisabete Carla and Vanin, Vito Roberto and Moreira,
Romero da Costa",
copyholder = "SID/SCD",
englishtitle = "Avalia{\c{c}}{\~a}o da incerteza na calibra{\c{c}}{\~a}o
radiom{\'e}trica de sensores de observa{\c{c}}{\~a}o da terra",
language = "en",
pages = "161",
ibi = "8JMKD3MGP3W34P/3M2724B",
url = "http://urlib.net/ibi/8JMKD3MGP3W34P/3M2724B",
targetfile = "publicacao.pdf",
urlaccessdate = "27 abr. 2024"
}