Articles | Volume 14, issue 5
https://doi.org/10.5194/amt-14-3233-2021
© Author(s) 2021. 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-14-3233-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 May 2021
Research article |
| 03 May 2021
| 03 May 2021
Analysis of simultaneous aerosol and ocean glint retrieval using multi-angle observations
Kirk Knobelspiesse
CORRESPONDING AUTHOR
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Amir Ibrahim
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Science Systems and Applications, Inc., Lanham, MD, USA
Bryan Franz
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Sean Bailey
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Robert Levy
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Ziauddin Ahmad
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Science Applications International Corp., Greenbelt, MD, USA
Joel Gales
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Science Applications International Corp., Greenbelt, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Science Systems and Applications, Inc., Lanham, MD, USA
Michael Garay
JPL, California Institute of Technology, Pasadena, USA
Samuel Anderson
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Science Systems and Applications, Inc., Lanham, MD, USA
Olga Kalashnikova
JPL, California Institute of Technology, Pasadena, USA
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Cited
9 citations as recorded by crossref.
- 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
- Circular polarization in atmospheric aerosols S. Gassó & K. Knobelspiesse 10.5194/acp-22-13581-2022
- Effective uncertainty quantification for multi-angle polarimetric aerosol remote sensing over ocean M. Gao et al. 10.5194/amt-15-4859-2022
- Characterization of the aerosol contribution to the top-of-atmosphere radiance for satellite ocean color retrievals V. Marinyuk et al. 10.1364/AO.528718
- Impacts of Sun Glint Off Ice Clouds on DSCOVR EPIC Cloud Products T. Várnai et al. 10.1109/TGRS.2024.3400253
- Machine learning based aerosol and ocean color joint retrieval algorithm for multiangle polarimeters over coastal waters K. Aryal et al. 10.1364/OE.522794
- A Multi-Angle Method for Simultaneous Retrieval of Aerosol Optical Depth and Bidirectional Reflectance Over Case II Waters Z. Han et al. 10.3389/fenvs.2022.900694
- Operational Detection of Sun Glints in DSCOVR EPIC Images T. Várnai et al. 10.3389/frsen.2021.777806
- Optimal estimation framework for ocean color atmospheric correction and pixel-level uncertainty quantification A. Ibrahim et al. 10.1364/AO.461861
9 citations as recorded by crossref.
- 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
- Circular polarization in atmospheric aerosols S. Gassó & K. Knobelspiesse 10.5194/acp-22-13581-2022
- Effective uncertainty quantification for multi-angle polarimetric aerosol remote sensing over ocean M. Gao et al. 10.5194/amt-15-4859-2022
- Characterization of the aerosol contribution to the top-of-atmosphere radiance for satellite ocean color retrievals V. Marinyuk et al. 10.1364/AO.528718
- Impacts of Sun Glint Off Ice Clouds on DSCOVR EPIC Cloud Products T. Várnai et al. 10.1109/TGRS.2024.3400253
- Machine learning based aerosol and ocean color joint retrieval algorithm for multiangle polarimeters over coastal waters K. Aryal et al. 10.1364/OE.522794
- A Multi-Angle Method for Simultaneous Retrieval of Aerosol Optical Depth and Bidirectional Reflectance Over Case II Waters Z. Han et al. 10.3389/fenvs.2022.900694
- Operational Detection of Sun Glints in DSCOVR EPIC Images T. Várnai et al. 10.3389/frsen.2021.777806
- Optimal estimation framework for ocean color atmospheric correction and pixel-level uncertainty quantification A. Ibrahim et al. 10.1364/AO.461861
Latest update: 17 Nov 2024
Short summary
We assessed atmospheric aerosol and ocean surface wind speed remote sensing capability with NASA's Multi-angle Imaging SpectroRadiometer (MISR), using synthetic data and a Bayesian inference technique called generalized nonlinear retrieval analysis (GENRA). We found success using three aerosol parameters plus wind speed. This shows that MISR can perform an atmospheric correction for the Moderate Resolution Imaging Spectroradiometer (MODIS) on the same spacecraft (Terra).
We assessed atmospheric aerosol and ocean surface wind speed remote sensing capability with...
