zhang xin , zhao xiang, liu suhong beijing normal university
DESCRIPTION
A METHOD FOR THE RETRIEVAL OF AEROSOL OPTICAL THICKNESS on CBERS data from top-of-atmosphere radiance. Zhang Xin , Zhao Xiang, Liu Suhong Beijing Normal University. CONTENTS. Background Method Validation Summary. Background. Water. - PowerPoint PPT PresentationTRANSCRIPT
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A METHOD FOR THE RETRIEVAL OF AEROSOL OPTICAL THICKNESS ON CBERS DATA FROM TOP-OF-ATMOSPHERE RADIANCE
Zhang Xin, Zhao Xiang, Liu SuhongBeijing Normal University
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CONTENTS
BACKGROUND
METHOD
VALIDATION
SUMMARY
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BACKGROUND The atmospheric influence is strong enough to substantially modify the
electromagnetic signal, causing the loss or the corruption of part of the carried information about the observed target. It is important to retrieve the Aerosol Optical Thickness (AOT).
0.14
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0.18
0.2
0.22
0.24
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0.28
0.4 0.5 0.6 0.7 0.8 0.9
表观反射率大气纠正反射率波谱仪实测反射率
Vegetation 0
0.02
0.04
0.06
0.08
0.1
0.12
0.14
0.4 0.5 0.6 0.7 0.8 0.9
表观反射率大气纠正反射率波谱仪实测反射率
Water
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BACKGROUND
Some algorithms only retrieval one result on every image, it is hard to fulfill the Correction accuracy
Some algorithms currently require visible to short-wave spectral bands (400-2500nm)
Some algorithms need densely vegetated area we have developed
a novel retrieval algorithm only use
the visible and near-infrared (VNIR)
spectral bands and have a high-
accuracy
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BACKGROUND
This method is design for CBERS CCD Image.
24 June 2007(Path 8/Row 61) , Shanxi Province, China
Sensor Name CCD
Sensor Type Push-broom
Band information 1: 450~ 520nm2: 520~ 590nm3: 630~ 690nm4: 770~ 890nm5: 510~ 730nmResolution 19.5 m
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METHODThis retrieval work is designed to obtain the main atmospheric parameters from the image itself.
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METHOD
CalibrationL=DN/K
(http://www.cresda.com/)Grid divison The image is divided in 10KM*10KM cells.Selecting the suitable pixels by Cv
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METHOD
1. We set the surface reflectance values as the follow equation
2. C is the vegetation coverage which is decided by the Atmospherically Resistant Vegetation Index (ARVI, Kaufman and D. Tanre,).
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Method
1. We set the surface reflectance values as the follow equation
The ρ is calculated through AOT and the apparent radiance L by using radiative transfer equation.
A one - dimensional search method was used to get the optimal solution.
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Method
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VALIDATION
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 1.20
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1
1.1
1.2
Real AOD(Cv=0.2, 0.5, 0.8)
Retr
ieve
d AO
D
y = 1.1135x + 0.0493R² = 0.9498RMSE=0.14
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 1.20
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1
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Real AOD(Cv=0.5, 0.7, 0.9)
Retr
ieve
d AO
D
y = 1.1125x - 0.0416R² = 0.9818RMSE=0.055
Surface reflectance AOT Apparent reflectance
Retrieval AOD
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VALIDATION
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 1.20
0.1
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1
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Real AOT( 0.5、 0.6、 0.7、 0.9)
Retr
ievi
ng A
OT
y = 1.1638x - 0.0801R² = 0.9696RMSE=0.068
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 1.20
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Real AOT (0.5、 0.6、 0.7、 0.8、 0.9)
Retr
ievi
ng A
OT
y = 1.1152x - 0.0427R² = 0.9786RMSE=0.055
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VALIDATION
VIS(KM) 5 6 7 8 9 10 11 12 13 14
RMSE 0.0000 0.0108 0.0065 0.0044 0.0078 0.0062 0.0028 0.0049 0.0000 0.0035
VIS(KM) 15 16 17 18 19 20 25 40 65 AVG
RMSE 0.0000 0.0000 0.0000 0.0000 0.0017 0.0037 0.0066 0.0038 0.0000 0.0033
When we get the AOT, do a atmospheric correction to get the surface reflectance. Calculate the RMSE between the retrieval reflectance and the real reflectance. The result is shown on the form.
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VALIDATION
Before After
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VALIDATION
AND
SUM
MARY
The result after correction is much closer to the real spectrum.
Vegetation Water
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SUMMARY
The shortage of current work:1. We don’t do a lot of validation on this method, especially on
CBERS image. In the next work we will download a lot of CBERS image to validation and improve this method.
2. The vegetation coverage also has some error when VIS is small. We want to find a new algorithm to calculate it.
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Thank you!