Articles | Volume 11, issue 1
https://doi.org/10.5194/amt-11-551-2018
© Author(s) 2018. 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-11-551-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Jan 2018
Research article |
| 29 Jan 2018
| 29 Jan 2018
The Small Whiskbroom Imager for atmospheric compositioN monitorinG (SWING) and its operations from an unmanned aerial vehicle (UAV) during the AROMAT campaign
Alexis Merlaud
CORRESPONDING AUTHOR
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Avenue Circulaire 3, 1180 Brussels, Belgium
Frederik Tack
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Avenue Circulaire 3, 1180 Brussels, Belgium
Daniel Constantin
“Dunarea de Jos” University of Galati, Str. Domneasca 111, Galati 800008, Romania
Lucian Georgescu
“Dunarea de Jos” University of Galati, Str. Domneasca 111, Galati 800008, Romania
Jeroen Maes
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Avenue Circulaire 3, 1180 Brussels, Belgium
Caroline Fayt
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Avenue Circulaire 3, 1180 Brussels, Belgium
Florin Mingireanu
Romanian Space Agency (ROSA), Mendeleev Street, nr. 21–25, Bucharest 10362, Romania
Dirk Schuettemeyer
European Space Agency (ESA-ESTEC), Keplerlaan 1, 2201 AZ Noordwijk, the Netherlands
Andreas Carlos Meier
Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany
Anja Schönardt
Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany
Thomas Ruhtz
Institute for Space Sciences, Free University of Berlin, Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany
Livio Bellegante
National Institute of R&D for Optoelectronics (INOE), Street Atomistilor 409, Magurele 77125, Romania
Doina Nicolae
National Institute of R&D for Optoelectronics (INOE), Street Atomistilor 409, Magurele 77125, Romania
Mirjam Den Hoed
Royal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Marc Allaart
Royal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Michel Van Roozendael
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Avenue Circulaire 3, 1180 Brussels, Belgium
Viewed
Total article views: 5,771 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Sep 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,815 | 1,685 | 271 | 5,771 | 162 | 197 |
- HTML: 3,815
- PDF: 1,685
- XML: 271
- Total: 5,771
- BibTeX: 162
- EndNote: 197
Total article views: 5,183 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 29 Jan 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,538 | 1,389 | 256 | 5,183 | 148 | 181 |
- HTML: 3,538
- PDF: 1,389
- XML: 256
- Total: 5,183
- BibTeX: 148
- EndNote: 181
Total article views: 588 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Sep 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 277 | 296 | 15 | 588 | 14 | 16 |
- HTML: 277
- PDF: 296
- XML: 15
- Total: 588
- BibTeX: 14
- EndNote: 16
Viewed (geographical distribution)
Total article views: 5,771 (including HTML, PDF, and XML)
Thereof 5,612 with geography defined
and 159 with unknown origin.
Total article views: 5,183 (including HTML, PDF, and XML)
Thereof 5,043 with geography defined
and 140 with unknown origin.
Total article views: 588 (including HTML, PDF, and XML)
Thereof 569 with geography defined
and 19 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
20 citations as recorded by crossref.
- Physicochemical characterization of submicron particles using advanced drone-based systems: real-time measurements and single-particle analysis via SERS in a case study from South Korea M. Kim et al. https://doi.org/10.1016/j.scitotenv.2025.179570
- Ultraviolet and visible remote sensing of volcanic gas emissions C. Kern https://doi.org/10.1016/j.jvolgeores.2025.108423
- The quantification of NOx and SO2 point source emission flux errors of mobile differential optical absorption spectroscopy on the basis of the Gaussian dispersion model: a simulation study Y. Huang et al. https://doi.org/10.5194/amt-13-6025-2020
- Assessment of the TROPOMI tropospheric NO2 product based on airborne APEX observations F. Tack et al. https://doi.org/10.5194/amt-14-615-2021
- Intercomparison of four airborne imaging DOAS systems for tropospheric NO2 mapping – the AROMAPEX campaign F. Tack et al. https://doi.org/10.5194/amt-12-211-2019
- Concept of small satellite UV/visible imaging spectrometer optimized for tropospheric NO2 measurements in air quality monitoring T. Fujinawa et al. https://doi.org/10.1016/j.actaastro.2019.03.081
- Near-surface and path-averaged mixing ratios of NO2 derived from car DOAS zenith-sky and tower DOAS off-axis measurements in Vienna: a case study S. Schreier et al. https://doi.org/10.5194/acp-19-5853-2019
- Decoding plant volatile stress signals across scales: from molecular responses to ecosystem dynamics M. Ogwu et al. https://doi.org/10.3389/fpls.2026.1815183
- Meter-Scale UAV Hyperspectral Remote Sensing for Pollution Source Attribution: Dynamic Reference Spectrum Optimization and Surface Albedo Correction T. Zou et al. https://doi.org/10.1021/acs.est.5c08110
- Validation of TROPOMI and WRF-Chem NO2 across seasons using SWING+ and surface observations over Bucharest A. Pasternak et al. https://doi.org/10.5194/acp-26-5185-2026
- Observations of Atmospheric NO2 Using a New Low-Cost MAX-DOAS System A. Roşu et al. https://doi.org/10.3390/atmos11020129
- Validation of Sentinel-5P TROPOMI tropospheric NO2 products by comparison with NO2 measurements from airborne imaging DOAS, ground-based stationary DOAS, and mobile car DOAS measurements during the S5P-VAL-DE-Ruhr campaign K. Lange et al. https://doi.org/10.5194/amt-16-1357-2023
- First Concurrent Observations of NO2 and CO2 From Power Plant Plumes by Airborne Remote Sensing T. Fujinawa et al. https://doi.org/10.1029/2021GL092685
- Constraining industrial ammonia emissions using hyperspectral infrared imaging L. Noppen et al. https://doi.org/10.1016/j.rse.2023.113559
- Highly resolved mapping of NO2 vertical column densities from GeoTASO measurements over a megacity and industrial area during the KORUS-AQ campaign G. Choo et al. https://doi.org/10.5194/amt-16-625-2023
- UAV Hyperspectral Stereoscopic Remote Sensing Technique Supports NO2 Localization With a Meter-Level Spatial Resolution H. Peng et al. https://doi.org/10.1109/TGRS.2026.3691321
- A Cotton Leaf Water Potential Prediction Model Based on Particle Swarm Optimisation of the LS-SVM Model Y. Gao et al. https://doi.org/10.3390/agronomy13122929
- State of the Art and Future Perspectives of Atmospheric Chemical Sensing Using Unmanned Aerial Vehicles: A Bibliometric Analysis D. Marin et al. https://doi.org/10.3390/s23208384
- Convergence analysis of the adjoint ensemble method in inverse source problems for advection-diffusion-reaction models with image-type measurements A. Penenko https://doi.org/10.3934/ipi.2020035
- Satellite validation strategy assessments based on the AROMAT campaigns A. Merlaud et al. https://doi.org/10.5194/amt-13-5513-2020
20 citations as recorded by crossref.
- Physicochemical characterization of submicron particles using advanced drone-based systems: real-time measurements and single-particle analysis via SERS in a case study from South Korea M. Kim et al. https://doi.org/10.1016/j.scitotenv.2025.179570
- Ultraviolet and visible remote sensing of volcanic gas emissions C. Kern https://doi.org/10.1016/j.jvolgeores.2025.108423
- The quantification of NOx and SO2 point source emission flux errors of mobile differential optical absorption spectroscopy on the basis of the Gaussian dispersion model: a simulation study Y. Huang et al. https://doi.org/10.5194/amt-13-6025-2020
- Assessment of the TROPOMI tropospheric NO2 product based on airborne APEX observations F. Tack et al. https://doi.org/10.5194/amt-14-615-2021
- Intercomparison of four airborne imaging DOAS systems for tropospheric NO2 mapping – the AROMAPEX campaign F. Tack et al. https://doi.org/10.5194/amt-12-211-2019
- Concept of small satellite UV/visible imaging spectrometer optimized for tropospheric NO2 measurements in air quality monitoring T. Fujinawa et al. https://doi.org/10.1016/j.actaastro.2019.03.081
- Near-surface and path-averaged mixing ratios of NO2 derived from car DOAS zenith-sky and tower DOAS off-axis measurements in Vienna: a case study S. Schreier et al. https://doi.org/10.5194/acp-19-5853-2019
- Decoding plant volatile stress signals across scales: from molecular responses to ecosystem dynamics M. Ogwu et al. https://doi.org/10.3389/fpls.2026.1815183
- Meter-Scale UAV Hyperspectral Remote Sensing for Pollution Source Attribution: Dynamic Reference Spectrum Optimization and Surface Albedo Correction T. Zou et al. https://doi.org/10.1021/acs.est.5c08110
- Validation of TROPOMI and WRF-Chem NO2 across seasons using SWING+ and surface observations over Bucharest A. Pasternak et al. https://doi.org/10.5194/acp-26-5185-2026
- Observations of Atmospheric NO2 Using a New Low-Cost MAX-DOAS System A. Roşu et al. https://doi.org/10.3390/atmos11020129
- Validation of Sentinel-5P TROPOMI tropospheric NO2 products by comparison with NO2 measurements from airborne imaging DOAS, ground-based stationary DOAS, and mobile car DOAS measurements during the S5P-VAL-DE-Ruhr campaign K. Lange et al. https://doi.org/10.5194/amt-16-1357-2023
- First Concurrent Observations of NO2 and CO2 From Power Plant Plumes by Airborne Remote Sensing T. Fujinawa et al. https://doi.org/10.1029/2021GL092685
- Constraining industrial ammonia emissions using hyperspectral infrared imaging L. Noppen et al. https://doi.org/10.1016/j.rse.2023.113559
- Highly resolved mapping of NO2 vertical column densities from GeoTASO measurements over a megacity and industrial area during the KORUS-AQ campaign G. Choo et al. https://doi.org/10.5194/amt-16-625-2023
- UAV Hyperspectral Stereoscopic Remote Sensing Technique Supports NO2 Localization With a Meter-Level Spatial Resolution H. Peng et al. https://doi.org/10.1109/TGRS.2026.3691321
- A Cotton Leaf Water Potential Prediction Model Based on Particle Swarm Optimisation of the LS-SVM Model Y. Gao et al. https://doi.org/10.3390/agronomy13122929
- State of the Art and Future Perspectives of Atmospheric Chemical Sensing Using Unmanned Aerial Vehicles: A Bibliometric Analysis D. Marin et al. https://doi.org/10.3390/s23208384
- Convergence analysis of the adjoint ensemble method in inverse source problems for advection-diffusion-reaction models with image-type measurements A. Penenko https://doi.org/10.3934/ipi.2020035
- Satellite validation strategy assessments based on the AROMAT campaigns A. Merlaud et al. https://doi.org/10.5194/amt-13-5513-2020
Saved (final revised paper)
Latest update: 09 Jun 2026
Short summary
We present SWING-UAV, an atmospheric observation system based on a compact scanning spectrometer (SWING) mounted on an unmanned aerial vehicle (UAV). SWING-UAV was operated in the exhaust plume of a power plant in Romania in September 2014, during the AROMAT campaign. SWING quantified the NO2 emitted by the plant and the water vapour content in the boundary layer, in agreement with ancillary data. The system appears in particular promising to study emissions in rural areas.
We present SWING-UAV, an atmospheric observation system based on a compact scanning spectrometer...
