Articles | Volume 13, issue 7
https://doi.org/10.5194/amt-13-3939-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-3939-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Jul 2020
Research article |
| 22 Jul 2020
| 22 Jul 2020
Inversion of multiangular polarimetric measurements from the ACEPOL campaign: an application of improving aerosol property and hyperspectral ocean color retrievals
SSAI, NASA Goddard Space Flight Center, Code 616, Greenbelt, Maryland 20771, USA
Peng-Wang Zhai
JCET, Physics Department, University of Maryland, Baltimore County, Baltimore, MD 21250, USA
Bryan A. Franz
NASA Goddard Space Flight Center, Code 616, Greenbelt, Maryland 20771, USA
Kirk Knobelspiesse
NASA Goddard Space Flight Center, Code 616, Greenbelt, Maryland 20771, USA
Amir Ibrahim
SSAI, NASA Goddard Space Flight Center, Code 616, Greenbelt, Maryland 20771, USA
Brian Cairns
NASA Goddard Institute for Space Studies, New York, NY 10025, USA
Susanne E. Craig
Universities Space Research Association, NASA Goddard Space Flight Center, Code 616, Greenbelt, Maryland 20771, USA
Guangliang Fu
Netherlands Institute for Space Research (SRON, NWO-I), Utrecht, the Netherlands
Otto Hasekamp
Netherlands Institute for Space Research (SRON, NWO-I), Utrecht, the Netherlands
Yongxiang Hu
MS 475 NASA Langley Research Center, Hampton, VA 23681-2199, USA
P. Jeremy Werdell
NASA Goddard Space Flight Center, Code 616, Greenbelt, Maryland 20771, USA
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Cited
15 citations as recorded by crossref.
- The Aerosol Characterization from Polarimeter and Lidar (ACEPOL) airborne field campaign K. Knobelspiesse et al. 10.5194/essd-12-2183-2020
- A practical guide to writing a radiative transfer code S. Korkin et al. 10.1016/j.cpc.2021.108198
- Optimal estimation framework for ocean color atmospheric correction and pixel-level uncertainty quantification A. Ibrahim et al. 10.1364/AO.461861
- Adaptive Data Screening for Multi-Angle Polarimetric Aerosol and Ocean Color Remote Sensing Accelerated by Deep Learning M. Gao et al. 10.3389/frsen.2021.757832
- Optimizing retrieval spaces of bio-optical models for remote sensing of ocean color N. Hannadige et al. 10.1364/AO.484082
- Uncertainty analysis of calibration source with adjustable degree of polarization in a wide dynamic range Q. Kang et al. 10.1016/j.jqsrt.2021.107934
- The impact and estimation of uncertainty correlation for multi-angle polarimetric remote sensing of aerosols and ocean color M. Gao et al. 10.5194/amt-16-2067-2023
- Validation of GRASP algorithm product from POLDER/PARASOL data and assessment of multi-angular polarimetry potential for aerosol monitoring C. Chen et al. 10.5194/essd-12-3573-2020
- Unifying radiative transfer models in computer graphics and remote sensing, Part I: A survey K. Salesin et al. 10.1016/j.jqsrt.2023.108847
- Analysis of simultaneous aerosol and ocean glint retrieval using multi-angle observations K. Knobelspiesse et al. 10.5194/amt-14-3233-2021
- Atmospheric correction over the ocean for hyperspectral radiometers using multi-angle polarimetric retrievals N. Hannadige et al. 10.1364/OE.408467
- Effective uncertainty quantification for multi-angle polarimetric aerosol remote sensing over ocean M. Gao et al. 10.5194/amt-15-4859-2022
- Performance evaluation of three bio-optical models in aerosol and ocean color joint retrievals N. Hannadige et al. 10.5194/amt-16-5749-2023
- Circular polarization characterization analysis: A case study of the scaled model of the ship and water body X. Chen et al. 10.1016/j.measurement.2024.115024
- Efficient multi-angle polarimetric inversion of aerosols and ocean color powered by a deep neural network forward model M. Gao et al. 10.5194/amt-14-4083-2021
15 citations as recorded by crossref.
- The Aerosol Characterization from Polarimeter and Lidar (ACEPOL) airborne field campaign K. Knobelspiesse et al. 10.5194/essd-12-2183-2020
- A practical guide to writing a radiative transfer code S. Korkin et al. 10.1016/j.cpc.2021.108198
- Optimal estimation framework for ocean color atmospheric correction and pixel-level uncertainty quantification A. Ibrahim et al. 10.1364/AO.461861
- Adaptive Data Screening for Multi-Angle Polarimetric Aerosol and Ocean Color Remote Sensing Accelerated by Deep Learning M. Gao et al. 10.3389/frsen.2021.757832
- Optimizing retrieval spaces of bio-optical models for remote sensing of ocean color N. Hannadige et al. 10.1364/AO.484082
- Uncertainty analysis of calibration source with adjustable degree of polarization in a wide dynamic range Q. Kang et al. 10.1016/j.jqsrt.2021.107934
- The impact and estimation of uncertainty correlation for multi-angle polarimetric remote sensing of aerosols and ocean color M. Gao et al. 10.5194/amt-16-2067-2023
- Validation of GRASP algorithm product from POLDER/PARASOL data and assessment of multi-angular polarimetry potential for aerosol monitoring C. Chen et al. 10.5194/essd-12-3573-2020
- Unifying radiative transfer models in computer graphics and remote sensing, Part I: A survey K. Salesin et al. 10.1016/j.jqsrt.2023.108847
- Analysis of simultaneous aerosol and ocean glint retrieval using multi-angle observations K. Knobelspiesse et al. 10.5194/amt-14-3233-2021
- Atmospheric correction over the ocean for hyperspectral radiometers using multi-angle polarimetric retrievals N. Hannadige et al. 10.1364/OE.408467
- Effective uncertainty quantification for multi-angle polarimetric aerosol remote sensing over ocean M. Gao et al. 10.5194/amt-15-4859-2022
- Performance evaluation of three bio-optical models in aerosol and ocean color joint retrievals N. Hannadige et al. 10.5194/amt-16-5749-2023
- Circular polarization characterization analysis: A case study of the scaled model of the ship and water body X. Chen et al. 10.1016/j.measurement.2024.115024
- Efficient multi-angle polarimetric inversion of aerosols and ocean color powered by a deep neural network forward model M. Gao et al. 10.5194/amt-14-4083-2021
Latest update: 04 Nov 2024
