Application of the optimal grouped residual method in retrieving the optical depth of aerosol over land with POLDER multi-angular polarized data

Xin GAO; Xiuqing HU; Wei FANG; Peng ZHANG

doi:10.11834/jrs.20219279

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Application of the optimal grouped residual method in retrieving the optical depth of aerosol over land with POLDER multi-angular polarized data
Vol. 26, Issue 3, Pages: 505-515(2022)
Published： 07 March 2022 ，
DOI： 10.11834/jrs.20219279

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高鑫，胡秀清，方伟，张鹏.2022.利用POLDER多角度偏振数据反演陆上气溶胶光学厚度的群组残差最优方法.遥感学报，26（3）： 505-515

Gao X，Hu X Q，Fang W and Zhang P. 2022. Application of the optimal grouped residual method in retrieving the optical depth of aerosol over land with POLDER multi-angular polarized data. National Remote Sensing Bulletin， 26（3）：505-515
高鑫，胡秀清，方伟，张鹏.2022.利用POLDER多角度偏振数据反演陆上气溶胶光学厚度的群组残差最优方法.遥感学报，26（3）： 505-515 DOI： 10.11834/jrs.20219279.

Gao X，Hu X Q，Fang W and Zhang P. 2022. Application of the optimal grouped residual method in retrieving the optical depth of aerosol over land with POLDER multi-angular polarized data. National Remote Sensing Bulletin， 26（3）：505-515 DOI： 10.11834/jrs.20219279.

摘要

陆上气溶胶光学厚度（AOD）反演作为气候、环境领域的一大研究方向，偏振多角度遥感在这个方向上有其特有的优势。本文使用法国POLDER （Polarization and Directionality of Earth’s Reflectance） 1级偏振多角度资料，提出了一种针对气溶胶反演的群组残差最优方法，反演了气溶胶AOD。首先，模拟计算了大气、地表和气溶胶的偏振多角度反射率；然后，通过辐射传输公式，推算卫星观测的偏振表观反射率的若干组模拟值；最后，使用群组残差最优方法，计算获得气溶胶AOD。通过和MODIS（Moderate-resolution Imaging Spectroradiometer）气溶胶数据产品（MYD04）的精确地理匹配和定量分析，验证了此方法的反演精度，结果表明：本文得到的AOD与MYD04建立的回归分析，其

可达到0.68以上，斜率与1接近，即此方法获得的反演产品与MYD04具有较好的一致性；与AERONET（Aerosol Robotic Network）的AOD数据也进行了坎普尔站、北京站上的统计与分析，AOD的变化趋势上也存在较好的一致性。本文方法能够应用于除POLDER以外的偏振多角度卫星数据，获得较为可靠的陆上气溶胶AOD产品。

Abstract

Aerosol is one of the important components of the earth’s atmospheric environment

which has a profound impact on atmospheric transport

climate simulation

environmental research

remote sensing application

pollution monitoring and many other fields. The retrieval of the Aerosol Optical Depth (AOD) over land has always been an important research topic in the study of environment and climate. As an emerging remote sensing method in recent years

multi-angular polarized remote sensing has obvious advantages over traditional optical remote sensing in the problem of land-atmosphere decoupling

which has been rapidly applied and developed in the field of cloud and aerosol. In this study

an Optimal Grouped Residual Method for the aerosol was proposed

which uses the multi-angular polarized data of POLDER Level 1 datasets (Polarization and Directionality of Earth’s Reflectance

France). According to Mie scattering theory

the polarization scattering phase function of atmospheric aerosol were calculated. Then

the polarization reflectance contribution of aerosols was calculated based on the polarization scattering phase function of aerosols

and the polarization reflectance contribution of atmospheric gas molecules and the surface were calculated using empirical formula. Finally

the multi-angular apparent polarization reflectance of the top of the atmosphere under the assumption of single scattering was simulated according to the atmospheric radiative transfer theory

and AOD was retrieved.

The retrieval results and accuracy were verified by precisely geographic matching and quantitatively comparing with MODIS (Moderate-resolution Imaging Spectroradiometer) aerosol product (MYD04). The results show that the R-square values of the regression analysis between AOD in this study and MYD04 can reach more than 0.68

and the slopes are close to 1

which reveal a good consistency. The AOD results were also compared with AERONET (Aerosol Robotic Network) in two sites

Beijing and Kanpur

revealing that the variation trends of AOD have good consistency. Furthermore

in order to verify the reliability of the method in this study from a broader spatial-temporal dimension

the AOD results were synthesized on a long time series of multi-day. Similarly

the multi-day synthetic AOD results obtained in this study also showed good consistency with the MODIS results. This method can be applied to multi-angular polarized satellite data (not only POLDER) to generate reliable optical depth products for the aerosol over land.

关键词

遥感POLDER多角度偏振遥感陆上气溶胶光学厚度群组残差最优方法

Keywords

remote sensingPOLDERmulti-angular polarized remote sensingthe optical depth of aerosol over landoptimal grouped residual method

references

Chen C, Li Z Q, Hou W Z, Li D H and Zhang Y H. 2015. Dynamic model in retrieving aerosol optical depth from polarimetric measurements of PARASOL. Journal of Remote Sensing, 19(1): 25-33

陈澄, 李正强, 侯伟真, 李东辉, 张玉环. 2015. 动态气溶胶模型的PARASOL多角度偏振卫星气溶胶光学厚度反演算法. 遥感学报, 19(1): 25-33 [DOI: 10.11834/jrs.20154043http://dx.doi.org/10.11834/jrs.20154043]

Deuzé J L, Bréon F M, Devaux C, Goloub P, Herman M, Lafrance B, Maignan F, Marchand A, Nadal F, Perry G and Tanré D. 2001. Remote sensing of aerosols over land surfaces from POLDER-ADEOS-1 polarized measurements. Journal of Geophysical Research: Atmospheres, 106(D5): 4913-4926 [DOI: 10.1029/2000JD900364http://dx.doi.org/10.1029/2000JD900364]

Dubovik O, Herman M, Holdak A, Lapyonok T, Tanré D, Deuzé J L, Ducos F, Sinyuk A and Lopatin A. 2011. Statistically optimized inversion algorithm for enhanced retrieval of aerosol properties from spectral multi-angle polarimetric satellite observations. Atmospheric Measurement Techniques, 4(5): 975-1018 [DOI: 10.5194/amt-4-975-2011http://dx.doi.org/10.5194/amt-4-975-2011]

Dubovik O, Li Z Q, Mishchenko M I, Tanré D, Karol Y, Bojkov B, Cairns B, Diner D J, Espinosa W R, Goloub P, Gu X F, Hasekamp O, Hong J, Hou W Z, Knobelspiesse K D, Landgraf J, Li L, Litvinov P, Liu Y, Lopatin A, Marbach T, Maring H, Martins V, Meijer Y, Milinevsky G, Mukai S, Parol F, Qiao Y L, Remer L, Rietjens J, Sano I, Stammes P, Stamnes S, Sun X B, Tabary P, Travis L D, Waquet F, Xu F, Yan C X and Yin D K. 2019. Polarimetric remote sensing of atmospheric aerosols: instruments, methodologies, results, and perspectives. Journal of Quantitative Spectroscopy and Radiative Transfer, 224: 474-511 [DOI: 10.1016/j.jqsrt.2018.11.024http://dx.doi.org/10.1016/j.jqsrt.2018.11.024]

Holben B N, Eck T F, Slutsker I, Tanré D, Buis J P, Setzer A, Vermote E, Reagan J A, Kaufman Y J, Nakajima T, Lavenu F, Jankowiak I and Smirnov A. 1998. AERONET—a federated instrument network and data archive for aerosol characterization. Remote Sensing of Environment, 66(1): 1-16 [DOI: 10.1016/S0034-4257(98)00031-5http://dx.doi.org/10.1016/S0034-4257(98)00031-5]

Hsu N C, Tsay S C, King M D and Herman J R. 2004. Aerosol properties over bright-reflecting source regions. IEEE Transactions on Geoscience and Remote Sensing, 42(3): 557-569 [DOI: 10.1109/tgrs.2004.824067http://dx.doi.org/10.1109/tgrs.2004.824067]

Huang C J, Wu Z S, Liu Y F, Shi P, Xiong X J and Jing M Y. 2012. Numerical calculation of phase function of atmospheric aerosol particles. Infrared and Laser Engineering, 41(3): 580-585

黄朝军, 吴振森, 刘亚锋, 史平, 熊晓军, 井敏英. 2012. 大气气溶胶粒子散射相函数的数值计算. 红外与激光工程, 41(3): 580-585 [DOI: 10.3969/j.issn.1007-2276.2012.03.007http://dx.doi.org/10.3969/j.issn.1007-2276.2012.03.007]

Jiang X L, Liu Y G, Liu Y H and Zhou L M. 2007. Five channel hand-held sunphotometer. Meteorological, Hydrological and Marine Instruments, (3): 54-58

蒋秀兰, 刘玉光, 刘亚豪, 周良明. 2007. 手持式五波段太阳光度计. 气象水文海洋仪器, (3): 54-58 [DOI: 10.3969/j.issn.1006-009X.2007.03.017]

Kaufman Y J, Wald A E, Remer L A, Gao B C, Li R R and Flynn L. 1997. The MODIS 2.1-μm channel-correlation with visible reflectance for use in remote sensing of aerosol. IEEE Transactions on Geoscience and Remote Sensing, 35(5): 1286-1298 [DOI: 10.1109/36.628795http://dx.doi.org/10.1109/36.628795]

Leroy M, Deuzé J L, Bréon F M, Hautecoeur O, Herman M, Buriez J C, Tanré D, Bouffiès S, Chazette P and Roujean J L. 1997. Retrieval of atmospheric properties and surface bidirectional reflectances over land from POLDER/ADEOS. Journal of Geophysical Research: Atmospheres, 102(D14): 17023-17037 [DOI: 10.1029/96JD02662http://dx.doi.org/10.1029/96JD02662]

Levy R C, Remer L A, Mattoo S, Vermote E F and Kaufman Y J. 2007. Second-generation operational algorithm: retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance. Journal of Geophysical Research: Atmospheres, 112(D13): D13211 [DOI: 10.1029/2006JD007811http://dx.doi.org/10.1029/2006JD007811]

Li Z Q, Goloub P, Devaux C, Gu X F, Qiao Y L, Zhao F S and Chen H B. 2004. Aerosol polarized phase function and single-scattering albedo retrieved from ground-based measurements. Atmospheric Research, 71(4): 233-241 [DOI: 10.1016/j.atmosres.2004.06.001http://dx.doi.org/10.1016/j.atmosres.2004.06.001]

Li Z Q, Hou W Z, Hong J, Zheng F X, Luo D G, Wang J, Gu X F and Qiao Y L. 2018. Directional Polarimetric Camera (DPC): monitoring aerosol spectral optical properties over land from satellite observation. Journal of Quantitative Spectroscopy and Radiative Transfer, 218: 21-37 [DOI: 10.1016/j.jqsrt.2018.07.003http://dx.doi.org/10.1016/j.jqsrt.2018.07.003]

Nadal F and Bréon F M. 1999. Parameterization of surface polarized reflectance derived from POLDER Spaceborne measurements. IEEE Transactions on Geoscience and Remote Sensing, 37(3): 1709-1718 [DOI: 10.1109/36.763292http://dx.doi.org/10.1109/36.763292]

Wang H, Sun X B, Yang L K, Zhao M R, Lui P and Du W B. 2018. Aerosol retrieval algorithm based on adaptive land-atmospheric decoupling for polarized remote sensing over land surfaces. Journal of Quantitative Spectroscopy and Radiative Transfer, 219: 74-84 [DOI: 10.1016/j.jqsrt.2018.08.011http://dx.doi.org/10.1016/j.jqsrt.2018.08.011]

Wang S P. 2012. Retrieval of Aerosol Properties of Fine-Coarse Mode Mixtures over Urban Areas from Multi-Directional Polarized Satellite Measurements. Beijing: University of Chinese Academy of Sciences

王舒鹏. 2012. 基于多角度偏振卫星信号的粗细混合型城市气溶胶反演. 北京: 中国科学院大学

Waquet F, Cairns B, Knobelspiesse K, Chowdhary J, Travis L D, Schmid B and Mishchenko M I. 2009a. Polarimetric remote sensing of aerosols over land. Journal of Geophysical Research: Atmospheres, 114(D1): D01206 [DOI: 10.1029/2008JD010619http://dx.doi.org/10.1029/2008JD010619]

Waquet F, Léon J F, Cairns B, Goloub P, Deuzé J L and Auriol F. 2009b. Analysis of the spectral and angular response of the vegetated surface polarization for the purpose of aerosol remote sensing over land. Applied Optics, 48(6): 1228-1236 [DOI: 10.1364/AO.48.001228http://dx.doi.org/10.1364/AO.48.001228]

Yin D K. 2019. Multi-angle polarization detection technology. Infrared, 40(1): 1-6, 23

殷德奎. 2019. 多角度偏振探测技术. 红外, 40(1): 1-6, 23 [DOI: 10.3969/j.issn.1672-8785.2019.01.001http://dx.doi.org/10.3969/j.issn.1672-8785.2019.01.001]

Zhang Y, Li Z Q, Liu Z H, Zhang J, Qie L, Xie Y S, Hou W Z, Wang Y Q and Ye Z X. 2018. Retrieval of the fine-mode aerosol optical depth over East China Using a Grouped Residual Error Sorting (GRES) method from multi-angle and polarized satellite data. Remote Sensing, 10(11): 1838 [DOI: 10.3390/rs10111838http://dx.doi.org/10.3390/rs10111838]

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