Articles | Volume 18, issue 4
https://doi.org/10.5194/acp-18-2511-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-18-2511-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
20 Feb 2018
Research article |
| 20 Feb 2018
XBAER-derived aerosol optical thickness from OLCI/Sentinel-3 observation
Linlu Mei
CORRESPONDING AUTHOR
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Vladimir Rozanov
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Marco Vountas
Institute of Environmental Physics, University of Bremen, Bremen, Germany
John P. Burrows
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Andreas Richter
Institute of Environmental Physics, University of Bremen, Bremen, Germany
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- Aerosol optical depth retrieval from the EarthCARE Multi-Spectral Imager: the M-AOT product N. Docter et al. 10.5194/amt-16-3437-2023
- Properties of aerosol and surface derived from OLCI/Sentinel-3A using GRASP approach: Retrieval development and preliminary validation C. Chen et al. 10.1016/j.rse.2022.113142
- Retrieval of Aerosol Optical Thickness in the Arctic Snow-Covered Regions Using Passive Remote Sensing: Impact of Aerosol Typing and Surface Reflection Model L. Mei et al. 10.1109/TGRS.2020.2972339
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- Estimating ground-level particulate matter concentrations using satellite-based data: a review M. Shin et al. 10.1080/15481603.2019.1703288
- Understanding MODIS dark-target collection 5 and 6 aerosol data over China: Effect of surface type, aerosol loading and aerosol absorption L. Mei et al. 10.1016/j.atmosres.2019.05.023
- A fast and accurate radiative transfer model for aerosol remote sensing L. Mei et al. 10.1016/j.jqsrt.2020.107270
- Extending XBAER Algorithm to Aerosol and Cloud Condition L. Mei et al. 10.1109/TGRS.2019.2919910
- Possible influence of sudden stratospheric warmings on the atmospheric environment in the Beijing–Tianjin–Hebei region Q. Lu et al. 10.5194/acp-22-13087-2022
- Validation of Aerosol Products from AATSR and MERIS/AATSR Synergy Algorithms—Part 1: Global Evaluation Y. Che et al. 10.3390/rs10091414
- Tempo-spatial patterns of PM2.5 measured using a portable particulate monitor around a mine complex in Canada’s Arctic W. Chen et al. 10.1007/s10661-021-09376-5
- An Improved Aerosol Optical Depth Retrieval Algorithm for Multiangle Directional Polarimetric Camera (DPC) B. Ge et al. 10.3390/rs14164045
- The retrieval of ice cloud parameters from multi-spectral satellite observations of reflectance using a modified XBAER algorithm L. Mei et al. 10.1016/j.rse.2018.06.007
- A generalized land surface reflectance reconstruction method for aerosol retrieval: Application to the Particulate Observing Scanning Polarimeter (POSP) onboard GaoFen-5 (02) satellite Z. Shi et al. 10.1016/j.rse.2023.113683
- SAHARA: A Simplified AtmospHeric Correction AlgoRithm for Chinese gAofen Data: 1. Aerosol Algorithm L. She et al. 10.3390/rs9030253
19 citations as recorded by crossref.
- A novel approach of Landsat 8 imagery to predict PM2.5 concentrations in a south-eastern coastal city of China L. Yang 10.1088/1755-1315/619/1/012046
- SCIATRAN software package (V4.6): update and further development of aerosol, clouds, surface reflectance databases and models L. Mei et al. 10.5194/gmd-16-1511-2023
- Aerosol optical depth retrieval from the EarthCARE Multi-Spectral Imager: the M-AOT product N. Docter et al. 10.5194/amt-16-3437-2023
- Properties of aerosol and surface derived from OLCI/Sentinel-3A using GRASP approach: Retrieval development and preliminary validation C. Chen et al. 10.1016/j.rse.2022.113142
- Retrieval of Aerosol Optical Thickness in the Arctic Snow-Covered Regions Using Passive Remote Sensing: Impact of Aerosol Typing and Surface Reflection Model L. Mei et al. 10.1109/TGRS.2020.2972339
- A study of the impact of spatial resolution on the estimation of particle matter concentration from the aerosol optical depth retrieved from satellite observations L. Mei et al. 10.1080/01431161.2019.1601279
- SEVIRI Aerosol Optical Depth Validation Using AERONET and Intercomparison with MODIS in Central and Eastern Europe N. Ajtai et al. 10.3390/rs13050844
- On the retrieval of aerosol optical depth over cryosphere using passive remote sensing L. Mei et al. 10.1016/j.rse.2020.111731
- A Critical Evaluation of Deep Blue Algorithm Derived AVHRR Aerosol Product Over China L. Mei et al. 10.1029/2018JD029929
- Estimating ground-level particulate matter concentrations using satellite-based data: a review M. Shin et al. 10.1080/15481603.2019.1703288
- Understanding MODIS dark-target collection 5 and 6 aerosol data over China: Effect of surface type, aerosol loading and aerosol absorption L. Mei et al. 10.1016/j.atmosres.2019.05.023
- A fast and accurate radiative transfer model for aerosol remote sensing L. Mei et al. 10.1016/j.jqsrt.2020.107270
- Extending XBAER Algorithm to Aerosol and Cloud Condition L. Mei et al. 10.1109/TGRS.2019.2919910
- Possible influence of sudden stratospheric warmings on the atmospheric environment in the Beijing–Tianjin–Hebei region Q. Lu et al. 10.5194/acp-22-13087-2022
- Validation of Aerosol Products from AATSR and MERIS/AATSR Synergy Algorithms—Part 1: Global Evaluation Y. Che et al. 10.3390/rs10091414
- Tempo-spatial patterns of PM2.5 measured using a portable particulate monitor around a mine complex in Canada’s Arctic W. Chen et al. 10.1007/s10661-021-09376-5
- An Improved Aerosol Optical Depth Retrieval Algorithm for Multiangle Directional Polarimetric Camera (DPC) B. Ge et al. 10.3390/rs14164045
- The retrieval of ice cloud parameters from multi-spectral satellite observations of reflectance using a modified XBAER algorithm L. Mei et al. 10.1016/j.rse.2018.06.007
- A generalized land surface reflectance reconstruction method for aerosol retrieval: Application to the Particulate Observing Scanning Polarimeter (POSP) onboard GaoFen-5 (02) satellite Z. Shi et al. 10.1016/j.rse.2023.113683
1 citations as recorded by crossref.
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