105 citations as recorded by crossref.

1. Retrieval of aerosol properties from ground-based polarimetric sky-radiance measurements under cloudy conditions H. Grob et al. https://doi.org/10.1016/j.jqsrt.2019.02.025
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3. Spatial distribution of cloud droplet size properties from Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) measurements B. McBride et al. https://doi.org/10.5194/amt-13-1777-2020
4. Reconstruction of cloud geometry from high-resolution multi-angle images G. Bal et al. https://doi.org/10.3934/ipi.2018011
5. Retrieval of aerosol properties from Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) observations during ACEPOL 2017 A. Puthukkudy et al. https://doi.org/10.5194/amt-13-5207-2020
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8. Efficient multi-angle polarimetric inversion of aerosols and ocean color powered by a deep neural network forward model M. Gao et al. https://doi.org/10.5194/amt-14-4083-2021
9. Photopolarimetric properties of leaf and vegetation covers over a wide range of measurement directions Z. Sun et al. https://doi.org/10.1016/j.jqsrt.2017.11.017
10. Modeling Bidirectional Polarization Distribution Function of Land Surfaces Using Machine Learning Techniques S. Liu et al. https://doi.org/10.3390/rs12233891
11. High-spatial-resolution retrieval of cloud droplet size distribution from polarized observations of the cloudbow V. Pörtge et al. https://doi.org/10.5194/amt-16-645-2023
12. Improving Remote Sensing of Aerosol Optical Depth over Land by Polarimetric Measurements at 1640 nm: Airborne Test in North China L. Qie et al. https://doi.org/10.3390/rs70506240
13. Testbed results for scalar and vector radiative transfer computations of light in atmosphere-ocean systems J. Chowdhary et al. https://doi.org/10.1016/j.jqsrt.2019.106717
14. A fast vector radiative transfer model for the atmosphere-ocean coupled system J. Ding et al. https://doi.org/10.1016/j.jqsrt.2019.106667
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20. Computational Imaging for Long-Term Prediction of Solar Irradiance L. Julian et al. https://doi.org/10.1109/TPAMI.2025.3546571
21. Combined neural network/Phillips–Tikhonov approach to aerosol retrievals over land from the NASA Research Scanning Polarimeter A. Di Noia et al. https://doi.org/10.5194/amt-10-4235-2017
22. Using polarimetric observations to detect and quantify the three-dimensional radiative transfer effects in passive satellite cloud property retrievals: Theoretical framework and feasibility study C. Rajapakshe & Z. Zhang https://doi.org/10.1016/j.jqsrt.2020.106920
23. Polarized reflectance factors of vegetation covers from laboratory and field: A comparison with modeled results Z. Sun et al. https://doi.org/10.1002/2016JD025892
24. Comparisons of bispectral and polarimetric retrievals of marine boundary layer cloud microphysics: case studies using a LES–satellite retrieval simulator D. Miller et al. https://doi.org/10.5194/amt-11-3689-2018
25. Uncertainties of atmospheric polarimetric measurements with sun-sky radiometers induced by errors of relative orientations of polarizers L. Li et al. https://doi.org/10.1016/j.jqsrt.2018.01.013
26. A correlation-based inversion method for aerosol property (CIMAP) retrieval from AERONET measurements T. Huang et al. https://doi.org/10.1016/j.jqsrt.2021.107808
27. Intrinsic coincident full-Stokes polarimeter using stacked organic photovoltaics R. Yang et al. https://doi.org/10.1364/AO.56.001768
28. Retrievals of Biomass Burning Aerosol and Liquid Cloud Properties from Polarimetric Observations Using Deep Learning Techniques M. Segal Rozenhaimer et al. https://doi.org/10.3390/rs17101693
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31. Aerosol-UA satellite mission for the polarimetric study of aerosols in the atmosphere I. Syniavskyi et al. https://doi.org/10.1016/j.jqsrt.2021.107601
32. Lenslet-array-based snapshot hyperspectral imaging polarimeter using opposite spectral modulation Q. Li et al. https://doi.org/10.1016/j.optlaseng.2023.107939
33. Neural Network Reflectance Prediction Model for Both Open Ocean and Coastal Waters L. Mukherjee et al. https://doi.org/10.3390/rs12091421
34. Remote sensing of aerosol in the terrestrial atmosphere from space: new missions G. Milinevsky https://doi.org/10.17721/2227-1481.5.11-16
35. Extending “Deep Blue” aerosol retrieval coverage to cases of absorbing aerosols above clouds: Sensitivity analysis and first case studies A. Sayer et al. https://doi.org/10.1002/2015JD024729
36. Polarimetric remote sensing of atmospheric aerosols: Instruments, methodologies, results, and perspectives O. Dubovik et al. https://doi.org/10.1016/j.jqsrt.2018.11.024
37. Intercomparison of airborne multi-angle polarimeter observations from the Polarimeter Definition Experiment K. Knobelspiesse et al. https://doi.org/10.1364/AO.58.000650
38. Tensorial Multiview Subspace Clustering for Polarimetric Hyperspectral Images Z. Chen et al. https://doi.org/10.1109/TGRS.2022.3174830
39. A Correlation-based Inversion Approach for Satellite-borne Aerosol Remote Sensing T. Huang et al. https://doi.org/10.1016/j.jqsrt.2026.110054
40. Uncertainty analysis of calibration source with adjustable degree of polarization in a wide dynamic range Q. Kang et al. https://doi.org/10.1016/j.jqsrt.2021.107934
41. Optical crosstalk and off-axis modeling of an intrinsic coincident polarimeter R. Yang et al. https://doi.org/10.1364/AO.59.000156
42. Retrieving Aerosol Characteristics From the PACE Mission, Part 2: Multi-Angle and Polarimetry L. Remer et al. https://doi.org/10.3389/fenvs.2019.00094
43. Quantifying the direct radiative effect of absorbing aerosols for numerical weather prediction: a case study M. Oyola et al. https://doi.org/10.5194/acp-19-205-2019
44. Fire Influence on Regional to Global Environments and Air Quality (FIREX‐AQ) C. Warneke et al. https://doi.org/10.1029/2022JD037758
45. Water vapor retrieval using the Airborne Multiangle SpectroPolarimetric Imager F. Xu & D. Diner https://doi.org/10.1016/j.jqsrt.2021.107610
46. Adaptation of the delta- m and δ -fit truncation methods to vector radiative transfer: Effect of truncation on radiative transfer accuracy S. Sanghavi & G. Stephens https://doi.org/10.1016/j.jqsrt.2015.03.007
47. Polarization upgrade of specMACS: calibration and characterization of the 2D RGB polarization-resolving cameras A. Weber et al. https://doi.org/10.5194/amt-17-1419-2024
48. SPEX airborne spectropolarimeter calibration and performance J. Smit et al. https://doi.org/10.1364/AO.58.005695
49. Quantification of Ammonia Emissions With High Spatial Resolution Thermal Infrared Observations From the Hyperspectral Thermal Emission Spectrometer (HyTES) Airborne Instrument L. Kuai et al. https://doi.org/10.1109/JSTARS.2019.2918093
50. Mathematical Estimation of Particulate Air Pollution Levels by Aerosols Tomography O. Vernik et al. https://doi.org/10.1109/JSEN.2022.3158890
51. Radiative interaction of atmosphere and surface: Write-up with elements of code S. Korkin & A. Lyapustin https://doi.org/10.1016/j.jqsrt.2023.108663
52. A review of spectropolarimetric imaging: Fundamentals, recent developments, and critical issues F. HAN et al. https://doi.org/10.1360/SSPMA-2025-0502
53. The Aerosol Characterization from Polarimeter and Lidar (ACEPOL) airborne field campaign K. Knobelspiesse et al. https://doi.org/10.5194/essd-12-2183-2020
54. Modeling Atmosphere-Ocean Radiative Transfer: A PACE Mission Perspective J. Chowdhary et al. https://doi.org/10.3389/feart.2019.00100
55. Polarimetric sensitivity of light-absorbing carbonaceous aerosols over ocean: A theoretical assessment C. Zhang et al. https://doi.org/10.1016/j.jqsrt.2021.107759
56. Focal plane filter array engineering I: rectangular lattices I. Vaughn et al. https://doi.org/10.1364/OE.25.011954
57. Retrievals of smoke particle properties using AirMSPI measurements acquired during FIREX-AQ field campaign B. Chen et al. https://doi.org/10.1016/j.atmosenv.2026.121960
58. Polarimetric coordinate validation for merging GRASP and AirMSPI FIREX-AQ observations C. DeLeon et al. https://doi.org/10.1016/j.jqsrt.2024.108910
59. Development and Application of Self-Supervised Machine Learning for Smoke Plume and Active Fire Identification from the Fire Influence on Regional to Global Environments and Air Quality Datasets N. LaHaye et al. https://doi.org/10.3390/rs17071267
60. Intercomparison of biomass burning aerosol optical properties from in situ and remote-sensing instruments in ORACLES-2016 K. Pistone et al. https://doi.org/10.5194/acp-19-9181-2019
61. Imagers for Spaceborne Cloud Tomography V. Holodovsky et al. https://doi.org/10.1109/TGRS.2025.3600736
62. Cloud information content in EPIC/DSCOVR’s oxygen A- and B-band channels: An optimal estimation approach A. Davis et al. https://doi.org/10.1016/j.jqsrt.2018.05.007
63. A practical guide to coding line-by-line trace gas absorption in Earth's atmosphere S. Korkin et al. https://doi.org/10.1016/j.jqsrt.2025.109345
64. On the negative polarization's effects at top of atmosphere W. Chen et al. https://doi.org/10.1016/j.atmosenv.2021.118425
65. Retrieving 3D distributions of atmospheric particles using Atmospheric Tomography with 3D Radiative Transfer – Part 2: Local optimization J. Loveridge et al. https://doi.org/10.5194/amt-16-3931-2023
66. Model-based evaluation of cloud geometry and droplet size retrievals from two-dimensional polarized measurements of specMACS L. Volkmer et al. https://doi.org/10.5194/amt-17-1703-2024
67. Parameterization of 3D cloud geometry and a neural-network-based fast forward operator for polarized radiative transfer A. Weber et al. https://doi.org/10.5194/amt-18-5805-2025
68. Retrieval of aerosol properties and water-leaving reflectance from multi-angular polarimetric measurements over coastal waters M. Gao et al. https://doi.org/10.1364/OE.26.008968
69. Joint retrieval of aerosol and water-leaving radiance from multispectral, multiangular and polarimetric measurements over ocean F. Xu et al. https://doi.org/10.5194/amt-9-2877-2016
70. Remote Sensing of Aerosol Optical Depth Using an Airborne Polarimeter over North China H. Wang et al. https://doi.org/10.3390/rs9100979
71. Settings for Spaceborne 3-D Scattering Tomography of Liquid-Phase Clouds by the CloudCT Mission M. Tzabari et al. https://doi.org/10.1109/TGRS.2022.3198525
72. Aerosol retrievals from different polarimeters during the ACEPOL campaign using a common retrieval algorithm G. Fu et al. https://doi.org/10.5194/amt-13-553-2020
73. Optical Property Model for Cirrus Clouds Based on Airborne Multi-Angle Polarization Observations Y. Wang et al. https://doi.org/10.3390/rs13142754
74. Retrieval of aerosol microphysical properties from atmospheric lidar sounding: an investigation using synthetic measurements and data from the ACEPOL campaign W. McLean et al. https://doi.org/10.5194/amt-14-4755-2021
75. Measurement of polarization-sensitive characteristic of scientific CCD detector T. Liang et al. https://doi.org/10.1016/j.ijleo.2020.165593
76. Aerosol retrieval algorithm based on adaptive land–atmospheric decoupling for polarized remote sensing over land surfaces H. Wang et al. https://doi.org/10.1016/j.jqsrt.2018.08.011
77. Retrieving 3D distributions of atmospheric particles using Atmospheric Tomography with 3D Radiative Transfer – Part 1: Model description and Jacobian calculation J. Loveridge et al. https://doi.org/10.5194/amt-16-1803-2023
78. Preflight Calibration of Short-Wave Infrared Polarization and Multiangle Imager Onboard Fengyun-3 Satellite H. Wang et al. https://doi.org/10.1109/TGRS.2024.3366702
79. A new way to see the clouds: the hyper-angular rainbow polarimeter (HARP2) on the NASA PACE satellite mission R. Smith et al. https://doi.org/10.3389/frsen.2025.1710909
80. Photopolarimetric Sensitivity to Black Carbon Content of Wildfire Smoke: Results From the 2016 ImPACT‐PM Field Campaign O. Kalashnikova et al. https://doi.org/10.1029/2017JD028032
81. Machine learning based aerosol and ocean color joint retrieval algorithm for multiangle polarimeters over coastal waters K. Aryal et al. https://doi.org/10.1364/OE.522794
82. Semi-empirical models for polarized reflectance of land surfaces: Intercomparison using space-borne POLDER measurements B. Yang et al. https://doi.org/10.1016/j.jqsrt.2017.07.014
83. A biased sampling approach to accelerate backward Monte Carlo atmospheric radiative transfer simulations and its application to Arctic heterogeneous cloud and surface conditions B. Sun et al. https://doi.org/10.1016/j.jqsrt.2019.106690
84. Advanced radiometry measurements and Earth science applications with the Airborne Prism Experiment (APEX) M. Schaepman et al. https://doi.org/10.1016/j.rse.2014.11.014
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86. 3D cloud envelope and cloud development velocity from simulated CLOUD (C3IEL) stereo images P. Dandini et al. https://doi.org/10.5194/amt-15-6221-2022
87. Cloud information content analysis of multi-angular measurements in the oxygen A-band: application to 3MI and MSPI G. Merlin et al. https://doi.org/10.5194/amt-9-4977-2016
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90. The impact and estimation of uncertainty correlation for multi-angle polarimetric remote sensing of aerosols and ocean color M. Gao et al. https://doi.org/10.5194/amt-16-2067-2023
91. A radiative transfer model for characterizing photometric and polarimetric properties of leaf reflection: Combination of PROSPECT and a polarized reflection function X. Li et al. https://doi.org/10.1016/j.rse.2024.114559
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95. The modern aerosol retrieval algorithms based on the simultaneous measurements of the intensity and polarization of reflected solar light: a review A. Kokhanovsky https://doi.org/10.3389/fenvs.2015.00004
96. Optical Properties of Reflected Light From Leaves: A Case Study From One Species Z. Sun et al. https://doi.org/10.1109/TGRS.2019.2890998
97. Aerosol measurements by SPEXone on the NASA PACE mission: expected retrieval capabilities O. Hasekamp et al. https://doi.org/10.1016/j.jqsrt.2019.02.006
98. Estimation of leaf chlorophyll content with polarization measurements: Degree of linear polarization C. Yao et al. https://doi.org/10.1016/j.jqsrt.2019.106787
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101. Multi-View Polarimetric Scattering Cloud Tomography and Retrieval of Droplet Size A. Levis et al. https://doi.org/10.3390/rs12172831
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105. Going Beyond Standard Ocean Color Observations: Lidar and Polarimetry C. Jamet et al. https://doi.org/10.3389/fmars.2019.00251