Dependence of Aerosol Satellite Remote Sensing Polarization and Multi-Angle Indicators Based on Forward-Inverse Simulation

Yanfeng Li; Han Wang; Yueran Sun; Wenzhe Dong

doi:10.3788/AOS241885

Acta Optica Sinica, Volume. 45, Issue 12, 1228009(2025)

Dependence of Aerosol Satellite Remote Sensing Polarization and Multi-Angle Indicators Based on Forward-Inverse Simulation

Yanfeng Li¹, Han Wang^2、*, Yueran Sun², and Wenzhe Dong²

Author Affiliations

¹School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, Henan , China

²School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, Jiangsu , China

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Figures & Tables(12)

Fig. 1. Flowchart of top-of-atmosphere reflectance simulation and GRASP inversion of AOD

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Fig. 2. Particle size distributions of five types of aerosols involved in simulation. (a) Particle size distributions of five coappearance models of fine and coarse particles; (b)‒(f) particle size distributions of fine and coarse models corresponding to five models

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Fig. 3. Line charts of evaluation indicators of AOD inversion results varying with number of polarization channels. (a) Pearson correlation coefficient; (b) root mean square error; (c) mean absolute error; (d) proportion of points within expected error range

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Fig. 4. When the number of polarization channels is 1, line charts of evaluation indicators of AOD inversion results varying with polarization band. (a) Pearson correlation coefficient; (b) root mean square error; (c) mean absolute error; (d) proportion of points within expected error range

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Fig. 5. When the number of polarization channels is 2, line charts of evaluation indicators of AOD inversion results varying with polarization band. (a) Pearson correlation coefficient; (b) root mean square error; (c) mean absolute error; (d) proportion of points within expected error range

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Fig. 6. When the number of polarization channels is 3, line charts of evaluation indicators of AOD inversion results varying with polarization bands. (a) Pearson correlation coefficient; (b) root mean square error; (c) mean absolute error; (d) proportion of points within expected error range

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Fig. 7. When the number of polarization channels is 4, line charts of evaluation indicators of AOD inversion results varying with polarization bands. (a) Pearson correlation coefficient; (b) root mean square error; (c) mean absolute error; (d) proportion of points within expected error range

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Fig. 8. When the number of polarization channels is 5, line charts of evaluation indicators of AOD inversion results varying with polarization bands. (a) Pearson correlation coefficient; (b) root mean square error; (c) mean absolute error; (d) proportion of points within expected error range

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Fig. 9. Consistency verification of AOD inversion results with different numbers of observation angles

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Fig. 10. Line charts of AOD inversion results varying with number of observation angle. (a) Pearson correlation coefficient; (b) root mean square error; (c) mean absolute error; (d) proportion of points within expected error range

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Fig. 11. Distribution of scattering angles at different observation angles

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Table 1. Microphysical parameters of aerosol model involved in the simulation

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Table 1. Microphysical parameters of aerosol model involved in the simulation

Type	Model	$r_{f} / μ m$	$r_{s m f} / μ m$	$σ_{f} / μ m$	$σ_{s m f} / μ m$	$V_{f}$ /（ $μ m^{3} / μ m^{2}$ ）	$V_{s m f}$ /（ $μ m^{3} / μ m^{2}$ ）	$n_{R e}$	$n_{I m}$
Fine mode	FM 1	0.200	—	1.669	—	0.136	—	1.410	0.009
	FM 2	0.146	—	1.710	—	0.063	—	0.515	0.017
	FM 3	0.142	0.320	1.456	1.637	0.087	0.069	1.392	0.010
	FM 4	0.107	0.236	1.339	1.710	0.046	0.081	1.459	0.020
Type	Model	$r_{c} / μ m$	$r_{s m c} / μ m$	$σ_{c} / μ m$	$σ_{s m c} / μ m$	$V_{c}$ /（ $μ m^{3} / μ m^{2}$ ）	$V_{s m c}$ /（ $μ m^{3} / μ m^{2}$ ）	$n_{R e}$	$n_{I m}$
Course mode	CM 1	2.751	—	1.941	—	0.089	—	1.437	0.009
	CM 2	3.133	—	1.890	—	0.090	—	0.522	0.028
	CM 3	4.788	2.026	1.439	1.941	0.076	0.121	1.518	0.012

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Yanfeng Li, Han Wang, Yueran Sun, Wenzhe Dong. Dependence of Aerosol Satellite Remote Sensing Polarization and Multi-Angle Indicators Based on Forward-Inverse Simulation[J]. Acta Optica Sinica, 2025, 45(12): 1228009

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Paper Information

Category: Remote Sensing and Sensors

Received: Nov. 28, 2024

Accepted: Jan. 22, 2025

Published Online: Jun. 23, 2025

The Author Email: Han Wang (ms.h.wang@cumt.edu.cn)

DOI:10.3788/AOS241885

CSTR:32393.14.AOS241885

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