Information Content Analysis on Passive Remote Sensing Imaging Retrieval of Aerosol Layer Height Based on Spaceborne Polarization Crossfire

Haoran Gu; Zhengqiang Li; Weizhen Hou; Zhenhai Liu; Lili Qie; Yinna Li; Yang Zheng; Zheng Shi; Hua Xu; Jin Hong; Jinji Ma; Zhenting Chen

doi:10.3788/AOS221036

Acta Optica Sinica, Volume. 43, Issue 6, 0601003(2023)

Information Content Analysis on Passive Remote Sensing Imaging Retrieval of Aerosol Layer Height Based on Spaceborne Polarization Crossfire

Haoran Gu^1,2, Zhengqiang Li^2,3、*, Weizhen Hou^2,3、**, Zhenhai Liu⁴, Lili Qie², Yinna Li^2,3, Yang Zheng², Zheng Shi^2,3, Hua Xu^2,3, Jin Hong⁴, Jinji Ma¹, and Zhenting Chen⁵

Author Affiliations

¹School of Geography and Tourism, Anhui Normal University, Wuhu 241000, Anhui, China

²State Environmental Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

³University of Chinese Academy of Sciences, Beijing 100049, China

⁴Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, Anhui, China

⁵School of Information Engineering, Kunming University, Kunming 650214, Yunnan, China

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Figures & Tables(20)

Fig. 1. Flowchart of information content analysis

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Fig. 2. PSOP observation geometry used in research. (a) Observation geometry; (b) scattering angle distribution

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Fig. 3. Aerosol volume size distribution

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Fig. 4. Scattering phase function and polarized scattering phase function varying with scattering angle. (a)(b) Scattering phase function; (c)(d) polarized scattering phase function

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Fig. 5. Surface simulation results varying with observation geometry angle. (a) BRDF; (b) BPDF

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Fig. 6. Simulation result varying with observation geometry angle. (a) Apparent reflectivity ; (b) apparent polarized reflectivity

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Fig. 7. Jacobian result varying with observation geometry angle. (a) $\frac{\partial I}{\partial V_{0}^{f}}$ ; (b) $\frac{\partial I}{\partial H}$ ; (c) $\frac{\partial D_{O L P}}{\partial V_{0}^{f}}$ ; (d) $\frac{\partial D_{O L P}}{\partial H}$

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Fig. 8. Jacobian result of vegetation surface intensity observation varying with H under different observation geometries. (a) Fine-dominated AOD of 0.8; (b) coarse-dominated AOD of 0.8; (c) fine-dominated AOD of 0.2; (d) coarse-dominated AOD of 0.2

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Fig. 9. Jacobi simulation results under different aerosol and vegetation surface conditions. (a) (c) Different aerosol conditions; (b)(d) different surface conditions

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Fig. 10. Analysis of information content results under different surface conditions. (a) Vegetation; (b) bare soil

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Fig. 11. ALH information under different scenarios. (a) Fine-dominated; (b) coarse-dominated

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Fig. 12. Posterior error varying with aerosol model parameters at 380 nm band. (a)(b) Posterior error; (c)(d) reduction value of posterior error

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Fig. 13. Effect of adding 380 nm wave band polarization measurement on posterior error. (a)(b) Adding 380 nm wave band pure intensity measurement; (c)(d) adding 380 nm wave band intensity and polarization measurements; (e)(f) difference of posterior error reduction between two observation schemes

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Fig. 14. Effect of adding 410 nm measurement on posterior error. (a)(b) Adding 410 nm band intensity measurement; (c)(d) adding 410 nm band intensity and polarization measurements

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Table 1. Basic parameters of sensors

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Table 1. Basic parameters of sensors

Equipment parameter	DPC	POSP
Central wavelength	443 nm，490 nm，565 nm，670 nm，763 nm，765 nm，865 nm，910 nm	380 nm，410 nm，443 nm，490 nm，670 nm，865 nm，1380 nm，1610 nm，2250 nm
Elements of Stokes vector	I，Q，U	I，Q，U
Instrument FOV	（±50°）×（±50°）	-50°-50°
Polarization calculation error	0.020	0.005
Radiance calculation error	5%	5%（VNIR），6%（SWIR）
Number of viewing angles	15	1

Table 2. Aerosol model parameters
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Table 2. Aerosol model parameters
Scenario $m_{r}$ （550 nm） $m_{i}$ （550 nm） $r_{e f f}$ /μm $v_{e f f}$ $F_{M F V}$
Fine-dominated 0.549 0.003 0.21 0.5036 0.8
Coarse-dominated 1.434 0.011 1.90 0.1915 0.2

Table 3. Surface model parameters
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Table 3. Surface model parameters
Surface type f_iso（λ） k₁ k₂ C $I_{N D V}$
Vegetation 0.0186（380 nm），0.0190（410 nm） 0.158 0.547 6.57 0.62
Bare soil 0.0293（380 nm），0.0313（410 nm） 0.087 0.668 6.90 0.03

Table 4. POSP observable correlation in 380 nm and 410 nm

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Table 4. POSP observable correlation in 380 nm and 410 nm

Observable	y₁	y₂	y₃	y₄
y₁（radiance at 380 nm）	1.00	0.99	0.27	0.23
y₂（radiance at 410 nm）	0.99（c₁）	1.00	0.23	0.18
y₃（polarization at 380 nm）	0.27（c₂）	0.23（c₄）	1.00	0.99
y₄（polarization at 410 nm）	0.23（c₃）	0.18（c₅）	0.99（c₆）	1.00

Table 5. Numerical simulation schemes
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Table 5. Numerical simulation schemes
Scheme 380-nm radiance 380-nm polarization 410-nm radiance 410-nm polarization
A-I √ × × ×
A-IP √ √ × ×
V-I × × √ ×
V-IP × × √ √
AV-I √ × √ ×
AV-IP √ √ √ √

Table 6. DFS of H at A-I and AV-IP schemes
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Table 6. DFS of H at A-I and AV-IP schemes
Surface type Aerosol scenario A-I AV-IP
Bare soil Fine-dominated 0.60 0.81
Coarse-dominated 0.45 0.79
Vegetation Fine-dominated 0.71 0.83
Coarse-dominated 0.60 0.80

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Haoran Gu, Zhengqiang Li, Weizhen Hou, Zhenhai Liu, Lili Qie, Yinna Li, Yang Zheng, Zheng Shi, Hua Xu, Jin Hong, Jinji Ma, Zhenting Chen. Information Content Analysis on Passive Remote Sensing Imaging Retrieval of Aerosol Layer Height Based on Spaceborne Polarization Crossfire[J]. Acta Optica Sinica, 2023, 43(6): 0601003

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