Articles | Volume 5, issue 11
https://doi.org/10.5194/amt-5-2635-2012
© Author(s) 2012. 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-5-2635-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Corrections for OMI SO2 BRD retrievals influenced by row anomalies
H. Yan
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing, China
Graduate University of the Chinese Academy of Sciences, Beijing, China
L. Chen
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing, China
J. Tao
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing, China
L. Su
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing, China
J. Huang
Key Laboratory of Digital Earth Science, Center for Earth Observation and Digital Earth Chinese Academy of Sciences, Beijing, China
D. Han
Normal College, Qingdao University, Qingdao, China
C. Yu
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing, China
Graduate University of the Chinese Academy of Sciences, Beijing, China
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Cited
12 citations as recorded by crossref.
- Air quality governance across developing and developed urban environments O. Ghaffarpasand et al. https://doi.org/10.1016/j.nexres.2026.101730
- Characterisation of a stratospheric sulfate plume from the Nabro volcano using a combination of passive satellite measurements in nadir and limb geometry M. Penning de Vries et al. https://doi.org/10.5194/acp-14-8149-2014
- Spatially continuous mapping of daily global ozone distribution (2004–2014) with the Aura OMI sensor X. Peng et al. https://doi.org/10.1002/2016JD025013
- A neural network algorithm for cloud fraction estimation using NASA-Aura OMI VIS radiance measurements G. Saponaro et al. https://doi.org/10.5194/amt-6-2301-2013
- Retrieval and intercomparison of volcanic SO2 injection height and eruption time from satellite maps and ground-based observations F. Pardini et al. https://doi.org/10.1016/j.jvolgeores.2016.12.008
- Support to Aviation Control Service (SACS): an online service for near-real-time satellite monitoring of volcanic plumes H. Brenot et al. https://doi.org/10.5194/nhess-14-1099-2014
- A simple inversion method for determining optimal dispersion model parameters from satellite detections of volcanic sulfur dioxide M. Zidikheri & R. Potts https://doi.org/10.1002/2015JD023627
- Comparison and validation of band residual difference algorithm and principal component analysis algorithm for retrievals of atmospheric SO2 columns from satellite observations . Yan Huan-Huan et al. https://doi.org/10.7498/aps.65.084204
- Remote Sensing Surveillance of NO2, SO2, CO, and AOD along the Suez Canal Pre- and Post-COVID-19 Lockdown Periods and during the Blockage G. Gamal et al. https://doi.org/10.3390/su15129362
- Comparison of SO2 column retrievals from BRD and DOAS algorithms H. Yan et al. https://doi.org/10.1007/s11430-016-9057-6
- A global land daily 10-km-resolution surface ozone dataset from 2013–2022 R. Wang et al. https://doi.org/10.1038/s41597-025-05990-x
- Sparse-based reconstruction of missing information in remote sensing images from spectral/temporal complementary information X. Li et al. https://doi.org/10.1016/j.isprsjprs.2015.03.009
12 citations as recorded by crossref.
- Air quality governance across developing and developed urban environments O. Ghaffarpasand et al. https://doi.org/10.1016/j.nexres.2026.101730
- Characterisation of a stratospheric sulfate plume from the Nabro volcano using a combination of passive satellite measurements in nadir and limb geometry M. Penning de Vries et al. https://doi.org/10.5194/acp-14-8149-2014
- Spatially continuous mapping of daily global ozone distribution (2004–2014) with the Aura OMI sensor X. Peng et al. https://doi.org/10.1002/2016JD025013
- A neural network algorithm for cloud fraction estimation using NASA-Aura OMI VIS radiance measurements G. Saponaro et al. https://doi.org/10.5194/amt-6-2301-2013
- Retrieval and intercomparison of volcanic SO2 injection height and eruption time from satellite maps and ground-based observations F. Pardini et al. https://doi.org/10.1016/j.jvolgeores.2016.12.008
- Support to Aviation Control Service (SACS): an online service for near-real-time satellite monitoring of volcanic plumes H. Brenot et al. https://doi.org/10.5194/nhess-14-1099-2014
- A simple inversion method for determining optimal dispersion model parameters from satellite detections of volcanic sulfur dioxide M. Zidikheri & R. Potts https://doi.org/10.1002/2015JD023627
- Comparison and validation of band residual difference algorithm and principal component analysis algorithm for retrievals of atmospheric SO2 columns from satellite observations . Yan Huan-Huan et al. https://doi.org/10.7498/aps.65.084204
- Remote Sensing Surveillance of NO2, SO2, CO, and AOD along the Suez Canal Pre- and Post-COVID-19 Lockdown Periods and during the Blockage G. Gamal et al. https://doi.org/10.3390/su15129362
- Comparison of SO2 column retrievals from BRD and DOAS algorithms H. Yan et al. https://doi.org/10.1007/s11430-016-9057-6
- A global land daily 10-km-resolution surface ozone dataset from 2013–2022 R. Wang et al. https://doi.org/10.1038/s41597-025-05990-x
- Sparse-based reconstruction of missing information in remote sensing images from spectral/temporal complementary information X. Li et al. https://doi.org/10.1016/j.isprsjprs.2015.03.009
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