[1] J N Jin, W J Zhao, X C Yang et al. Validation and temporal spatial distribution analysis of MODIS and Himawari-8 fine mode aerosol products in Asia. Acta Scientiae Circumstantiae, 39, 1066-1085(2019).

[2] Y J Kaufman, A E Wald, L A Remer et al. 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, 1286-1298(1997).

[3] Y J Kaufman, C Sendra. Algorithm for automatic atmospheric corrections to visible and near-IR satellite imagery. International Journal of Remote Sensing, 9, 1357-1381(1988).

[4] N C Hsu, S C Tsay, M D King et al. Aerosol properties over bright-reflecting source regions. IEEE Transactions on Geoscience and Remote Sensing, 42, 557-569(2004).

[5] J L Deuzé, F M Bréon, P Y Deschamps et al. Analysis of the POLDER (POLarization and directionality of earth's reflectances) airborne instrument observations over land surfaces. Remote Sensing of Environment, 45, 137-154(1993).

[6] M Z Duan, D R Lv. Simultaneously retrieving aerosol optical depth and surface albedo over land from POLDER's multi-angle polarized measurements I: Theory and simulations. Chinese Journal of Atmospheric Sciences, 31, 757-765(2007).

[7] X Sun, H J Zhao. Retrieval algorithm for optical parameters of aerosol over land surface from POLDER data. Acta Optica Sinica, 29, 1772-1777(2009).

[8] Z T Wang, L F Chen, S S Li. The retrieval of AOD over land surfaces in China from PARASOL. Remote Sensing Information, 24, 49-54(2009).

[9] O Dubovik, A Smirnov, B N Holben et al. Accuracy assessments of aerosol optical properties retrieved from Aerosol Robotic Network (AERONET) Sun and sky radiance measurements. Journal of Geophysical Research: Atmospheres, 105, 9791-9806(2000).

[10] O Dubovik, A Sinyuk, T Lapyonok et al. Application of spheroid models to account for aerosol particle nonsphericity in remote sensing of desert dust. Journal of Geophysical Research: Atmospheres, 111, D11208(2006).

[11] O Dubovik, M Herman, A Holdak et al. Statistically optimized inversion algorithm for enhanced retrieval of aerosol properties from spectral multi-angle polarimetric satellite observations. Atmospheric Measurement Techniques, 4, 975-1018(2011).

[12] C Chen, O Dubovik, D Fuertes et al. Validation of GRASP algorithm product from POLDER/PARASOL data and assessment of multi-angular polarimetry potential for aerosol monitoring. Earth System Science Data, 12, 3573-3620(2020).

[13] O Dubovik, Z Q Li, M I Mishchenko et al. Polarimetric remote sensing of atmospheric aerosols: Instruments, methodologies, results, and perspectives. Journal of Quantitative Spectroscopy and Radiative Transfer, 224, 474-511(2019).

[14] Z Q Li, W Z Hou, J Hong et al. Directional Polarimetric Camera (DPC): Monitoring aerosol spectral optical properties over land from satellite observation. Journal of Quantitative Spectroscopy and Radiative Transfer, 218, 21-37(2018).

[15] L F Chen, H Z Shang, M Fan et al. Mission overview of the GF-5 satellite for atmospheric parameter monitoring. National Remote Sensing Bulletin, 25, 1917-1931(2021).

[16] O P Hasekamp, J Landgraf. Retrieval of aerosol properties over land surfaces: Capabilities of multiple-viewing-angle intensity and polarization measurements. Applied Optics, 46, 3332-3344(2007).

[17] H Wang, L K Yang, W B Du et al. Inversion of aerosol optical depth over land surface from airborne polarimetric measurements. Spectroscopy and Spectral Analysis, 38, 1019-1024(2018).

[18] Y J Kaufman, D Tanré, L A Remer et al. Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer. Journal of Geophysical Research: Atmospheres, 102, 17051-17067(1997).

[19] R C Levy, L A Remer, S Mattoo et al. 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, D13211(2007).

[20] N C Hsu, M J Jeong, C Bettenhausen et al. Enhanced Deep Blue aerosol retrieval algorithm: The second generation. Journal of Geophysical Research: Atmospheres, 118, 9296-9315(2013).

[21] O Dubovik, T Lapyonok, P Litvinov et al. GRASP: A versatile algorithm for characterizing the atmosphere. SPIE Newsroom, 25, 1-4(2014).

[22] X Li, A H Strahler. Geometric-optical bidirectional reflectance modeling of the discrete crown vegetation canopy: Effect of crown shape and mutual shadowing. IEEE Transactions on Geoscience and Remote Sensing, 30, 276-292(1992).

[23] J L Roujean, M Leroy, P Y Deschamps. A bidirectional reflectance model of the Earth's surface for the correction of remote sensing data. Journal of Geophysical Research: Atmospheres, 97, 20455-20468(1992).

[24] F Maignan, F M Bréon, E Fédèle et al. Polarized reflectances of natural surfaces: Spaceborne measurements and analytical modeling. Remote Sensing of Environment, 113, 2642-2650(2009).

[25] K Yan, H L Li, W J Song et al. Extending a linear kernel-driven BRDF model to realistically simulate reflectance anisotropy over rugged terrain. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-16(2022).

[26] C M Shu, X B Sun, H Wang et al. Model optimization of didirectional polarization reflectance distribution function of land surface based on airborne polarimetric data. Journal of Atmospheric and Environmental Optics, 11, 125-133(2016).

[27] F Waquet, J F Léon, B Cairns et al. Analysis of the spectral and angular response of the vegetated surface polarization for the purpose of aerosol remote sensing over land. Applied Optics, 48, 1228-1236(2009).

[28] B N Holben, T F Eck, I Slutsker et al. AERONET―A federated instrument network and data archive for aerosol characterization. Remote Sensing of Environment, 66, 1-16(1998).

[29] H Z Che, X Y Zhang, H B Chen et al. Instrument calibration and aerosol optical depth validation of the China Aerosol Remote Sensing Network. Journal of Geophysical Research: Atmospheres, 114, D03206(2009).

[30] H Z Che, X G Xia, H J Zhao et al. Spatial distribution of aerosol microphysical and optical properties and direct radiative effect from the China Aerosol Remote Sensing Network. Atmospheric Chemistry and Physics, 19, 11843-11864(2019).

[31] Z Q Li, H Xu, K T Li et al. Comprehensive study of optical, physical, chemical, and radiative properties of total columnar atmospheric aerosols over China: An overview of Sun-sky radiometer observation network (SONET) measurements. Bulletin of the American Meteorological Society, 99, 739-755(2018).

[32] L Wang. A brief introduction to US shuttle radar topography mission. Bulletin of Surveying and Mapping, 38-40(2000).

[33] A M Sayer, N C Hsu, J Lee et al. Validation of SOAR VIIRS over-water aerosol retrievals and context within the global satellite aerosol data record. Journal of Geophysical Research: Atmospheres, 123, 13496-13526(2018).

[34] L Sogacheva, T Popp, A M Sayer et al. Merging regional and global aerosol optical depth records from major available satellite products. Atmospheric Chemistry and Physics, 20, 2031-2056(2020).

[35] T F Eck, B N Holben, J S Reid et al. Wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols. Journal of Geophysical Research: Atmospheres, 104, 31333-31349(1999).

[36] Y Tan, E Li, Z Zhang et al. Validation of POLDER-3/GRASP aerosol products using AERONET measurements over China. Atmospheric Environment, 215, 116893(2019).