- 1.
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
- 2.
Dubovik O, Holben B N, Eck T F, Smirnov A, Kaufman Y J, King M D, Tanre D and Slutsker I. 2002. Variability of absorption and optical properties of key aerosol types observed in worldwide locations. Journal of the Atmospheric Sciences, 59(3): 590-608
- 3.
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
- 4.
Dubovik O, Schuster G L, Xu F, Hu Y X, Bösch H, Landgraf J and Li Z Q. 2021. Grand challenges in satellite remote sensing. Frontiers in Remote Sensing, 2: 619818
- 5.
Gao B C, Montes M J, Davis C O and Goetz A F H. 2009. Atmospheric correction algorithms for hyperspectral remote sensing data of land and ocean. Remote Sensing of Environment, 113(1): S17-S24
- 6.
Griffin M K and Burke H H K. 2003. Compensation of hyperspectral data for atmospheric effects. Lincoln Laboratory Journal, 14(1): 29-54
- 7.
Guo H, Gu X F, Xie D H, Yu T and Meng Q Y. 2014. A review of atmospheric aerosol research by using polarization remote sensing. Spectroscopy and Spectral Analysis, 34(7): 1873-1880
- 8.
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
- 9.
Hou W Z, Li Z Q, Wang J, Xu X G, Goloub P and Qie L L. 2018. Improving remote sensing of aerosol microphysical properties by near-infrared polarimetric measurements over vegetated land: information content analysis. Journal of Geophysical Research: Atmospheres, 123(4): 2215-2243
- 10.
Hou W Z, Wang J, Xu X G, Reid J S and Han D. 2016. An algorithm for hyperspectral remote sensing of aerosols: 1. development of theoretical framework. Journal of Quantitative Spectroscopy and Radiative Transfer, 178: 400-415
- 11.
Hu Y D, Hu Q Y, Sun B, Wang X J, Qiu Z W and Hong J. 2015. Double-angle polarized atmospheric corrector for remote sensing images. Optics and Precision Engineering, 23(3): 652-659
- 12.
Huang W J, Cui W Y, Yi W N, Sun B and Hu Y D. 2015. Calibration processing for multi-spectral polarimetric atmospheric detection system. Journal of Atmospheric and Environmental Optics, 10(4): 350-356
- 13.
Li Z Q, Chen X F, Ma Y, Qie L L, Hou W Z and Qiao Y L. 2018. An overview of atmospheric correction for optical remote sensing satellites. Journal of Nanjing University of Information Science and Technology (Natural Science Edition), 10(1): 6-15
- 14.
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
- 15.
Liang S L, Li X W and Wang J D. 2013. Quantitative Remote Sensing: Ideas and Algorithms. Beijing: Science Press
- 16.
Longbotham N, Pacifici F, Malitz S, Baugh W and Camps-Valls G. 2015. Measuring the spatial and spectral performance of WorldView-3//Fourier Transform Spectroscopy and Hyperspectral Imaging and Sounding of the Environment (pp. HW3B-2). Lake Arrowhead: Optical Society of America
- 17.
Minu S and Shetty A. 2015. Atmospheric correction algorithms for hyperspectral imageries: a review. International Research Journal of Earth Sciences, 3(5): 14-18
- 18.
Reuter D C, McCabe G H, Dimitrov R, Graham S M, Jennings D E, Matsumura M M, Rapchun D A and Travis J W. 2001. The LEISA/atmospheric corrector (LAC) on EO-1//IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217). Sydney: IEEE: 46-48
- 19.
Sano I, Mukai S and Takashima T. 1997. Multispectral polarization measurements of atmospheric aerosols. Advances in Space Research, 19(9): 1379-1382
- 20.
Shaw G A and Burke H H K. 2003. Spectral imaging for remote sensing. Lincoln Laboratory Journal, 14(1): 3-28
- 21.
Song M X, Sun B, Sun X B and Hong J. 2012. Polarization calibration of airborne muti-angle polarimetric radiometer. Optics and Precision Engineering, 20(6): 1153-1158
- 22.
Wand X H, Qiao Y L, Goloub P and Li Z Q. 2008. Radiometric calibration of sunphotometer system applied to aerosol robotic network. Acta Optica Sinica, 28(1): 87-91
- 23.
Waquet F, Léon J F, Cairns B, Goloub P, Deuzé J L and Auriol F. 2009. 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
- 24.
Xu X G, Wang J, Henze D K, Qu W J and Kopacz M. 2013. Constraints on aerosol sources using GEOS-chem adjoint and MODIS radiances, and evaluation with multisensor (OMI, MISR) data. Journal of Geophysical Research: Atmospheres, 118(12): 6396-6413
- 25.
Zheng F X, Li Z Q, Hou W Z, Qie L L and Zhang C. 2020. Aerosol retrieval study from multiangle polarimetric satellite data based on optimal estimation method. Journal of Applied Remote Sensing, 14(1): 014516