Articles | Volume 8, issue 6
https://doi.org/10.5194/amt-8-2625-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-8-2625-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
29 Jun 2015
Research article |
| 29 Jun 2015
Aerosol retrieval from multiangle, multispectral photopolarimetric measurements: importance of spectral range and angular resolution
School of Computer and Information, Hefei University of Technology, Hefei, Anhui 230009, China
SRON Netherlands Institute for Space Research, Sorbonnelaan 2, 3584 CA Utrecht, the Netherlands
O. Hasekamp
SRON Netherlands Institute for Space Research, Sorbonnelaan 2, 3584 CA Utrecht, the Netherlands
B. van Diedenhoven
NASA Goddard Institute for Space Studies, New York, NY, USA
Columbia University, Center for Climate System Research, New York, NY, USA
B. Cairns
NASA Goddard Institute for Space Studies, New York, NY, USA
Viewed
Total article views: 4,528 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 13 Mar 2015)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,761 | 1,582 | 185 | 4,528 | 204 | 221 |
- HTML: 2,761
- PDF: 1,582
- XML: 185
- Total: 4,528
- BibTeX: 204
- EndNote: 221
Total article views: 3,756 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 29 Jun 2015)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,386 | 1,209 | 161 | 3,756 | 178 | 201 |
- HTML: 2,386
- PDF: 1,209
- XML: 161
- Total: 3,756
- BibTeX: 178
- EndNote: 201
Total article views: 772 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 13 Mar 2015)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 375 | 373 | 24 | 772 | 26 | 20 |
- HTML: 375
- PDF: 373
- XML: 24
- Total: 772
- BibTeX: 26
- EndNote: 20
Cited
61 citations as recorded by crossref.
- 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
- 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
- Quantitative Assessment of the Uncertainty in Aerosol Optical Property Inversion due to Different Surface Reflection Models H. Zhang et al. https://doi.org/10.34133/remotesensing.0637
- 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
- An improved algorithm for retrieving high resolution fine-mode aerosol based on polarized satellite data: Application and validation for POLDER-3 B. Ge et al. https://doi.org/10.1016/j.rse.2020.111894
- Simultaneous Aerosol and Ocean Properties From the PolCube CubeSat Polarimeter S. Stamnes et al. https://doi.org/10.3389/frsen.2021.709040
- Aerosol retrieval study from multiangle polarimetric satellite data based on optimal estimation method F. Zheng et al. https://doi.org/10.1117/1.JRS.14.014516
- Planning, implementation, and scientific goals of the Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) field mission O. Toon et al. https://doi.org/10.1002/2015JD024297
- Inversion of multiangular polarimetric measurements from the ACEPOL campaign: an application of improving aerosol property and hyperspectral ocean color retrievals M. Gao et al. https://doi.org/10.5194/amt-13-3939-2020
- Influence of 3D effects on 1D aerosol retrievals in synthetic, partially clouded scenes F. Stap et al. https://doi.org/10.1016/j.jqsrt.2015.10.008
- 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
- Simultaneous retrieval of aerosol and ocean properties from PACE HARP2 with uncertainty assessment using cascading neural network radiative transfer models M. Gao et al. https://doi.org/10.5194/amt-16-5863-2023
- Polarimetric retrievals of cloud droplet number concentrations K. Sinclair et al. https://doi.org/10.1016/j.rse.2019.04.008
- 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
- Anthropogenic CO2 monitoring satellite mission: the need for multi-angle polarimetric observations S. Rusli et al. https://doi.org/10.5194/amt-14-1167-2021
- Development of neural network retrievals of liquid cloud properties from multi-angle polarimetric observations M. Segal-Rozenhaimer et al. https://doi.org/10.1016/j.jqsrt.2018.08.030
- An algorithm for hyperspectral remote sensing of aerosols: 3. Application to the GEO-TASO data in KORUS-AQ field campaign W. Hou et al. https://doi.org/10.1016/j.jqsrt.2020.107161
- Global evaluation of sentinel 2 level 2A Sen2Cor aerosol optical thickness retrievals A. Kumar & M. Mehta https://doi.org/10.1080/01431161.2024.2421947
- Adaptive Data Screening for Multi-Angle Polarimetric Aerosol and Ocean Color Remote Sensing Accelerated by Deep Learning M. Gao et al. https://doi.org/10.3389/frsen.2021.757832
- 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
- Passive remote sensing of aerosol layer height using near‐UV multiangle polarization measurements L. Wu et al. https://doi.org/10.1002/2016GL069848
- A review of advances in the retrieval of aerosol properties by remote sensing multi-angle technology Y. Si et al. https://doi.org/10.1016/j.atmosenv.2020.117928
- 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
- Directional Polarimetric Camera (DPC): Monitoring aerosol spectral optical properties over land from satellite observation Z. Li et al. https://doi.org/10.1016/j.jqsrt.2018.07.003
- Validation of the aerosol optical property products derived by the GRASP/Component approach from multi-angular polarimetric observations X. Zhang et al. https://doi.org/10.1016/j.atmosres.2021.105802
- Pre-launch calibration and validation of the Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) instrument B. McBride et al. https://doi.org/10.5194/amt-17-5709-2024
- Full-physics carbon dioxide retrievals from the Orbiting Carbon Observatory-2 (OCO-2) satellite by only using the 2.06 µm band L. Wu et al. https://doi.org/10.5194/amt-12-6049-2019
- Simultaneous polarimeter retrievals of microphysical aerosol and ocean color parameters from the “MAPP” algorithm with comparison to high-spectral-resolution lidar aerosol and ocean products S. Stamnes et al. https://doi.org/10.1364/AO.57.002394
- Optimal estimation retrieval for directional polarimetric camera onboard Chinese Gaofen-5 satellite: an analysis on multi-angle dependence and a posteriori error F. Zheng et al. https://doi.org/10.7498/aps.68.20181682
- Global sensitivity analysis of simulated remote sensing polarimetric observations over snow M. Ottaviani et al. https://doi.org/10.5194/amt-17-4737-2024
- Analysis of Scattering Angle Sampling by Multi-Angle Imaging Polarimeters for Different Orbit Geometries S. Thompson et al. https://doi.org/10.3389/frsen.2022.836262
- 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
- Synchronous Retrieval of LAI and Cab from UAV Remote Sensing: Development of Optimal Estimation Inversion Framework F. Zheng et al. https://doi.org/10.3390/agronomy13041119
- Retrieval of aerosol microphysical and optical properties over land using a multimode approach G. Fu & O. Hasekamp https://doi.org/10.5194/amt-11-6627-2018
- Assimilating aerosol optical properties related to size and absorption from POLDER/PARASOL with an ensemble data assimilation system A. Tsikerdekis et al. https://doi.org/10.5194/acp-21-2637-2021
- Use of A Neural Network-Based Ocean Body Radiative Transfer Model for Aerosol Retrievals from Multi-Angle Polarimetric Measurements C. Fan et al. https://doi.org/10.3390/rs11232877
- A Combined Lidar-Polarimeter Inversion Approach for Aerosol Remote Sensing Over Ocean F. Xu et al. https://doi.org/10.3389/frsen.2021.620871
- 星载多角度偏振气溶胶遥感综述（特邀） 陶. Tao Minghui et al. https://doi.org/10.3788/AOS251970
- Measurement of polarization-sensitive characteristic of scientific CCD detector T. Liang et al. https://doi.org/10.1016/j.ijleo.2020.165593
- The PACE-MAPP algorithm: Simultaneous aerosol and ocean polarimeter products using coupled atmosphere-ocean vector radiative transfer S. Stamnes et al. https://doi.org/10.3389/frsen.2023.1174672
- Grand Challenges in Satellite Remote Sensing O. Dubovik et al. https://doi.org/10.3389/frsen.2021.619818
- Low-level liquid cloud properties during ORACLES retrieved using airborne polarimetric measurements and a neural network algorithm D. Miller et al. https://doi.org/10.5194/amt-13-3447-2020
- Inversion of multiangular polarimetric measurements over open and coastal ocean waters: a joint retrieval algorithm for aerosol and water-leaving radiance properties M. Gao et al. https://doi.org/10.5194/amt-12-3921-2019
- AEROCOM and AEROSAT AAOD and SSA study – Part 1: Evaluation and intercomparison of satellite measurements N. Schutgens et al. https://doi.org/10.5194/acp-21-6895-2021
- Assimilation of POLDER observations to estimate aerosol emissions A. Tsikerdekis et al. https://doi.org/10.5194/acp-23-9495-2023
- Algorithm evaluation for polarimetric remote sensing of atmospheric aerosols O. Hasekamp et al. https://doi.org/10.5194/amt-17-1497-2024
- Water vapor retrieval using the Airborne Multiangle SpectroPolarimetric Imager F. Xu & D. Diner https://doi.org/10.1016/j.jqsrt.2021.107610
- The polarization crossfire (PCF) sensor suite focusing on satellite remote sensing of fine particulate matter PM2.5 from space Z. Li et al. https://doi.org/10.1016/j.jqsrt.2022.108217
- Retrieval of Aerosol Optical Properties over Land Using an Optimized Retrieval Algorithm Based on the Directional Polarimetric Camera L. Fang et al. https://doi.org/10.3390/rs14184571
- 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
- Multiangle photopolarimetric aerosol retrievals in the vicinity of clouds: Synthetic study based on a large eddy simulation F. Stap et al. https://doi.org/10.1002/2016JD024787
- Modeling Atmosphere-Ocean Radiative Transfer: A PACE Mission Perspective J. Chowdhary et al. https://doi.org/10.3389/feart.2019.00100
- HARP2 pre-launch calibration: dealing with polarization effects of a wide field of view N. Sienkiewicz et al. https://doi.org/10.5194/amt-18-2447-2025
- Collaborative Neural Networks Significantly Improve Global Aerosol Retrievals From Multiangle Polarimeters G. Fu et al. https://doi.org/10.1109/TGRS.2026.3685881
- Intercomparison of airborne multi-angle polarimeter observations from the Polarimeter Definition Experiment K. Knobelspiesse et al. https://doi.org/10.1364/AO.58.000650
- Effective uncertainty quantification for multi-angle polarimetric aerosol remote sensing over ocean M. Gao et al. https://doi.org/10.5194/amt-15-4859-2022
- Closing the gap: an algorithmic approach to reconciling in-situ and remotely sensed aerosol properties J. Schlosser et al. https://doi.org/10.5194/amt-18-7187-2025
- 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
- SPEX airborne spectropolarimeter calibration and performance J. Smit et al. https://doi.org/10.1364/AO.58.005695
- Estimation of Cloud Condensation Nuclei (CCN) using a neural network retrieval algorithm—A synthetic study for SPEXone on the NASA PACE mission N. Hannadige et al. https://doi.org/10.1016/j.jqsrt.2026.109853
- Estimation of aerosol complex refractive indices for both fine and coarse modes simultaneously based on AERONET remote sensing products Y. Zhang et al. https://doi.org/10.5194/amt-10-3203-2017
61 citations as recorded by crossref.
- 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
- 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
- Quantitative Assessment of the Uncertainty in Aerosol Optical Property Inversion due to Different Surface Reflection Models H. Zhang et al. https://doi.org/10.34133/remotesensing.0637
- 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
- An improved algorithm for retrieving high resolution fine-mode aerosol based on polarized satellite data: Application and validation for POLDER-3 B. Ge et al. https://doi.org/10.1016/j.rse.2020.111894
- Simultaneous Aerosol and Ocean Properties From the PolCube CubeSat Polarimeter S. Stamnes et al. https://doi.org/10.3389/frsen.2021.709040
- Aerosol retrieval study from multiangle polarimetric satellite data based on optimal estimation method F. Zheng et al. https://doi.org/10.1117/1.JRS.14.014516
- Planning, implementation, and scientific goals of the Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) field mission O. Toon et al. https://doi.org/10.1002/2015JD024297
- Inversion of multiangular polarimetric measurements from the ACEPOL campaign: an application of improving aerosol property and hyperspectral ocean color retrievals M. Gao et al. https://doi.org/10.5194/amt-13-3939-2020
- Influence of 3D effects on 1D aerosol retrievals in synthetic, partially clouded scenes F. Stap et al. https://doi.org/10.1016/j.jqsrt.2015.10.008
- 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
- Simultaneous retrieval of aerosol and ocean properties from PACE HARP2 with uncertainty assessment using cascading neural network radiative transfer models M. Gao et al. https://doi.org/10.5194/amt-16-5863-2023
- Polarimetric retrievals of cloud droplet number concentrations K. Sinclair et al. https://doi.org/10.1016/j.rse.2019.04.008
- 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
- Anthropogenic CO2 monitoring satellite mission: the need for multi-angle polarimetric observations S. Rusli et al. https://doi.org/10.5194/amt-14-1167-2021
- Development of neural network retrievals of liquid cloud properties from multi-angle polarimetric observations M. Segal-Rozenhaimer et al. https://doi.org/10.1016/j.jqsrt.2018.08.030
- An algorithm for hyperspectral remote sensing of aerosols: 3. Application to the GEO-TASO data in KORUS-AQ field campaign W. Hou et al. https://doi.org/10.1016/j.jqsrt.2020.107161
- Global evaluation of sentinel 2 level 2A Sen2Cor aerosol optical thickness retrievals A. Kumar & M. Mehta https://doi.org/10.1080/01431161.2024.2421947
- Adaptive Data Screening for Multi-Angle Polarimetric Aerosol and Ocean Color Remote Sensing Accelerated by Deep Learning M. Gao et al. https://doi.org/10.3389/frsen.2021.757832
- 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
- Passive remote sensing of aerosol layer height using near‐UV multiangle polarization measurements L. Wu et al. https://doi.org/10.1002/2016GL069848
- A review of advances in the retrieval of aerosol properties by remote sensing multi-angle technology Y. Si et al. https://doi.org/10.1016/j.atmosenv.2020.117928
- 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
- Directional Polarimetric Camera (DPC): Monitoring aerosol spectral optical properties over land from satellite observation Z. Li et al. https://doi.org/10.1016/j.jqsrt.2018.07.003
- Validation of the aerosol optical property products derived by the GRASP/Component approach from multi-angular polarimetric observations X. Zhang et al. https://doi.org/10.1016/j.atmosres.2021.105802
- Pre-launch calibration and validation of the Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) instrument B. McBride et al. https://doi.org/10.5194/amt-17-5709-2024
- Full-physics carbon dioxide retrievals from the Orbiting Carbon Observatory-2 (OCO-2) satellite by only using the 2.06 µm band L. Wu et al. https://doi.org/10.5194/amt-12-6049-2019
- Simultaneous polarimeter retrievals of microphysical aerosol and ocean color parameters from the “MAPP” algorithm with comparison to high-spectral-resolution lidar aerosol and ocean products S. Stamnes et al. https://doi.org/10.1364/AO.57.002394
- Optimal estimation retrieval for directional polarimetric camera onboard Chinese Gaofen-5 satellite: an analysis on multi-angle dependence and a posteriori error F. Zheng et al. https://doi.org/10.7498/aps.68.20181682
- Global sensitivity analysis of simulated remote sensing polarimetric observations over snow M. Ottaviani et al. https://doi.org/10.5194/amt-17-4737-2024
- Analysis of Scattering Angle Sampling by Multi-Angle Imaging Polarimeters for Different Orbit Geometries S. Thompson et al. https://doi.org/10.3389/frsen.2022.836262
- 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
- Synchronous Retrieval of LAI and Cab from UAV Remote Sensing: Development of Optimal Estimation Inversion Framework F. Zheng et al. https://doi.org/10.3390/agronomy13041119
- Retrieval of aerosol microphysical and optical properties over land using a multimode approach G. Fu & O. Hasekamp https://doi.org/10.5194/amt-11-6627-2018
- Assimilating aerosol optical properties related to size and absorption from POLDER/PARASOL with an ensemble data assimilation system A. Tsikerdekis et al. https://doi.org/10.5194/acp-21-2637-2021
- Use of A Neural Network-Based Ocean Body Radiative Transfer Model for Aerosol Retrievals from Multi-Angle Polarimetric Measurements C. Fan et al. https://doi.org/10.3390/rs11232877
- A Combined Lidar-Polarimeter Inversion Approach for Aerosol Remote Sensing Over Ocean F. Xu et al. https://doi.org/10.3389/frsen.2021.620871
- 星载多角度偏振气溶胶遥感综述（特邀） 陶. Tao Minghui et al. https://doi.org/10.3788/AOS251970
- Measurement of polarization-sensitive characteristic of scientific CCD detector T. Liang et al. https://doi.org/10.1016/j.ijleo.2020.165593
- The PACE-MAPP algorithm: Simultaneous aerosol and ocean polarimeter products using coupled atmosphere-ocean vector radiative transfer S. Stamnes et al. https://doi.org/10.3389/frsen.2023.1174672
- Grand Challenges in Satellite Remote Sensing O. Dubovik et al. https://doi.org/10.3389/frsen.2021.619818
- Low-level liquid cloud properties during ORACLES retrieved using airborne polarimetric measurements and a neural network algorithm D. Miller et al. https://doi.org/10.5194/amt-13-3447-2020
- Inversion of multiangular polarimetric measurements over open and coastal ocean waters: a joint retrieval algorithm for aerosol and water-leaving radiance properties M. Gao et al. https://doi.org/10.5194/amt-12-3921-2019
- AEROCOM and AEROSAT AAOD and SSA study – Part 1: Evaluation and intercomparison of satellite measurements N. Schutgens et al. https://doi.org/10.5194/acp-21-6895-2021
- Assimilation of POLDER observations to estimate aerosol emissions A. Tsikerdekis et al. https://doi.org/10.5194/acp-23-9495-2023
- Algorithm evaluation for polarimetric remote sensing of atmospheric aerosols O. Hasekamp et al. https://doi.org/10.5194/amt-17-1497-2024
- Water vapor retrieval using the Airborne Multiangle SpectroPolarimetric Imager F. Xu & D. Diner https://doi.org/10.1016/j.jqsrt.2021.107610
- The polarization crossfire (PCF) sensor suite focusing on satellite remote sensing of fine particulate matter PM2.5 from space Z. Li et al. https://doi.org/10.1016/j.jqsrt.2022.108217
- Retrieval of Aerosol Optical Properties over Land Using an Optimized Retrieval Algorithm Based on the Directional Polarimetric Camera L. Fang et al. https://doi.org/10.3390/rs14184571
- 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
- Multiangle photopolarimetric aerosol retrievals in the vicinity of clouds: Synthetic study based on a large eddy simulation F. Stap et al. https://doi.org/10.1002/2016JD024787
- Modeling Atmosphere-Ocean Radiative Transfer: A PACE Mission Perspective J. Chowdhary et al. https://doi.org/10.3389/feart.2019.00100
- HARP2 pre-launch calibration: dealing with polarization effects of a wide field of view N. Sienkiewicz et al. https://doi.org/10.5194/amt-18-2447-2025
- Collaborative Neural Networks Significantly Improve Global Aerosol Retrievals From Multiangle Polarimeters G. Fu et al. https://doi.org/10.1109/TGRS.2026.3685881
- Intercomparison of airborne multi-angle polarimeter observations from the Polarimeter Definition Experiment K. Knobelspiesse et al. https://doi.org/10.1364/AO.58.000650
- Effective uncertainty quantification for multi-angle polarimetric aerosol remote sensing over ocean M. Gao et al. https://doi.org/10.5194/amt-15-4859-2022
- Closing the gap: an algorithmic approach to reconciling in-situ and remotely sensed aerosol properties J. Schlosser et al. https://doi.org/10.5194/amt-18-7187-2025
- 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
- SPEX airborne spectropolarimeter calibration and performance J. Smit et al. https://doi.org/10.1364/AO.58.005695
- Estimation of Cloud Condensation Nuclei (CCN) using a neural network retrieval algorithm—A synthetic study for SPEXone on the NASA PACE mission N. Hannadige et al. https://doi.org/10.1016/j.jqsrt.2026.109853
- Estimation of aerosol complex refractive indices for both fine and coarse modes simultaneously based on AERONET remote sensing products Y. Zhang et al. https://doi.org/10.5194/amt-10-3203-2017
Saved (final revised paper)
Latest update: 01 Aug 2026
