183 citations as recorded by crossref.

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2. COVID-19 pandemic impacted differently air quality in Latin American cities O. Atiaga et al. 10.1007/s11869-025-01738-z
3. A new method for inferring city emissions and lifetimes of nitrogen oxides from high-resolution nitrogen dioxide observations: a model study F. Liu et al. 10.5194/acp-22-1333-2022
4. Evaluation of the Potential of Sentinel-5P TROPOMI and AIS Marine Traffic Data for the Monitoring of Anthropogenic Activity and Maritime Transport NOx-Emissions in Canary Islands Waters M. Rodriguez Valido et al. 10.3390/su15054632
5. Analyzing COVID-19 Impacts on Vehicle Travels and Daily Nitrogen Dioxide (NO2) Levels among Florida Counties A. Karaer et al. 10.3390/en13226044
6. Tropospheric NO2 and O3 Response to COVID‐19 Lockdown Restrictions at the National and Urban Scales in Germany V. Balamurugan et al. 10.1029/2021JD035440
7. Air Quality Response in China Linked to the 2019 Novel Coronavirus (COVID‐19) Lockdown K. Miyazaki et al. 10.1029/2020GL089252
8. COVID-19 lockdown air quality change implications for solar energy generation over China K. Choi & H. Brindley 10.1088/1748-9326/abd42f
9. How does air quality reflect the land cover changes: remote sensing approach using Sentinel data P. Guamán-Pintado et al. 10.1007/s10661-024-13478-1
10. Air quality trends and implications pre and post Covid-19 restrictions A. Cardito et al. 10.1016/j.scitotenv.2023.162833
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12. Sudden changes in nitrogen dioxide emissions over Greece due to lockdown after the outbreak of COVID-19 M. Koukouli et al. 10.5194/acp-21-1759-2021
13. Improving the quantification of fine particulates (PM2.5) concentrations in Malaysia using simplified and computationally efficient models N. Zaman et al. 10.1016/j.jclepro.2024.141559
14. Unveiling urban air quality dynamics during COVID-19: a Sentinel-5P TROPOMI hotspot analysis A. Mathew et al. 10.1038/s41598-024-72276-4
15. Exploring climate pollutants levels and variations in Islamabad's built-environment: A nature-based policy framework for sustainable emissions management H. Qadeer et al. 10.1016/j.jenvman.2025.126421
16. Emissions of nitrogen dioxide in the northeast U.S. during the 2020 COVID-19 lockdown S. Azad & M. Ghandehari 10.1016/j.jenvman.2022.114902
17. Evaluating Machine Learning and Remote Sensing in Monitoring NO2 Emission of Power Plants A. Alnaim et al. 10.3390/rs14030729
18. Towards a New MAX-DOAS Measurement Site in the Po Valley: Aerosol Optical Depth and NO2 Tropospheric VCDs E. Castelli et al. 10.3390/rs17061035
19. Spatiotemporal variations in atmospheric CH4 concentrations and enhancements in northern China based on a comprehensive dataset: ground-based observations, TROPOMI data, inventory data, and inversions P. Han et al. 10.5194/acp-25-4965-2025
20. Peculiar COVID-19 effects in the Greater Tokyo Area revealed by spatiotemporal variabilities of tropospheric gases and light-absorbing aerosols A. Damiani et al. 10.5194/acp-22-12705-2022
21. Characterization of Nitrogen Dioxide Variability Using Ground-Based and Satellite Remote Sensing and In Situ Measurements in the Tiber Valley (Lazio, Italy) C. Bassani et al. 10.3390/rs15153703
22. A five-year Study Using Sentinel-5P Data Observing Seasonal Dynamics and Long-term Trends of Atmospheric Pollutants H. Mohamed et al. 10.26833/ijeg.1587122
23. Inferring ground-level nitrogen dioxide concentrations at fine spatial resolution applied to the TROPOMI satellite instrument M. Cooper et al. 10.1088/1748-9326/aba3a5
24. Big data analyses for determining the spatio-temporal trends of air pollution due to wildfires in California using Google Earth Engine A. Saim & M. Aly 10.1016/j.apr.2024.102226
25. Green space coverage versus air pollution: a cloud-based remote sensing data analysis in Sichuan, Western China A. Naboureh et al. 10.1080/17538947.2024.2383454
26. Spatial-Temporal analysis of urban environmental variables using building height features M. Kakooei & Y. Baleghi 10.1016/j.uclim.2023.101736
27. Assessment of Airport-Related Emissions and Their Impact on Air Quality in Atlanta, GA, Using CMAQ and TROPOMI A. Lawal et al. 10.1021/acs.est.1c03388
28. Air quality changes in Ukraine during the April 2020 wildfire event M. Savenets et al. 10.5937/gp24-27436
29. CLASP: CLustering of Atmospheric Satellite Products and Its Applications in Feature Detection of Atmospheric Trace Gases T. Lee & Y. Wang 10.1029/2023JD038887
30. Nitrogen Dioxide (NO2) Pollution Monitoring with Sentinel-5P Satellite Imagery over Europe during the Coronavirus Pandemic Outbreak M. Vîrghileanu et al. 10.3390/rs12213575
31. Assessing vulnerability of densely populated areas to air pollution using Sentinel-5P imageries: a case study of the Nile Delta, Egypt M. Hassaan et al. 10.1038/s41598-023-44186-4
32. Assessment of air quality and damage caused after an anthropogenic disaster in the city of Beirut S. Jayalakshmi et al. 10.1051/matecconf/202338401003
33. On the influence of vertical mixing, boundary layer schemes, and temporal emission profiles on tropospheric NO2 in WRF-Chem – comparisons to in situ, satellite, and MAX-DOAS observations L. Kuhn et al. 10.5194/acp-24-185-2024
34. Decoding seasonal variability of air pollutants with climate factors: A geostatistical approach using multimodal regression models for informed climate change mitigation S. Morshed et al. 10.1016/j.envpol.2024.123463
35. NO2 emissions from oil refineries in the Mississippi Delta M. Filonchyk & M. Peterson 10.1016/j.scitotenv.2023.165569
36. Scalable data processing and visualization service of Sentinel 5P for Earth Observations Data Cubes H. Astsatryan et al. 10.1007/s12517-023-11672-y
37. Declines and peaks in NO2 pollution during the multiple waves of the COVID-19 pandemic in the New York metropolitan area M. Tzortziou et al. 10.5194/acp-22-2399-2022
38. The global daily High Spatial–Temporal Coverage Merged tropospheric NO2 dataset (HSTCM-NO2) from 2007 to 2022 based on OMI and GOME-2 K. Qin et al. 10.5194/essd-16-5287-2024
39. Potential of TROPOMI for understanding spatio-temporal variations in surface NO2 and their dependencies upon land use over the Iberian Peninsula H. Petetin et al. 10.5194/acp-23-3905-2023
40. Evaluating Sentinel-5P TROPOMI tropospheric NO2 column densities with airborne and Pandora spectrometers near New York City and Long Island Sound L. Judd et al. 10.5194/amt-13-6113-2020
41. Spatiotemporal mapping and assessment of daily ground NO2 concentrations in China using high-resolution TROPOMI retrievals S. Wu et al. 10.1016/j.envpol.2021.116456
42. Nitrogen dioxide reductions from satellite and surface observations during COVID-19 mitigation in Rome (Italy) C. Bassani et al. 10.1007/s11356-020-12141-9
43. Air pollution in Vietnam during the COVID-19 social isolation, evidence of reduction in human activities T. Ngo et al. 10.1080/01431161.2021.1934911
44. Assessment of the TROPOMI tropospheric NO2 product based on airborne APEX observations F. Tack et al. 10.5194/amt-14-615-2021
45. Non-uniform tropospheric NO2 level changes in European Union caused by governmental COVID-19 restrictions and geography G. Varga et al. 10.1016/j.cacint.2024.100145
46. Assessment of Spatial and Temporal Variation in NO2 Levels over Tourist Reception Areas in Poland D. Mochocki & W. Zgłobicki 10.3390/app13169477
47. New Insights Into the Role of Atmospheric Transport and Mixing on Column and Surface Concentrations of NO2 at a Coastal Urban Site T. Adams et al. 10.1029/2022JD038237
48. Significant annual variations of firework-impacted aerosols in Northeast China: Implications for rethinking the firework bans Y. Cheng et al. 10.1016/j.atmosenv.2024.120914
49. Evaluation of the WRF-Chem performance for the air pollutants over the United Arab Emirates Y. Yarragunta et al. 10.5194/acp-25-1685-2025
50. Ground-based validation of the Copernicus Sentinel-5P TROPOMI NO2 measurements with the NDACC ZSL-DOAS, MAX-DOAS and Pandonia global networks T. Verhoelst et al. 10.5194/amt-14-481-2021
51. Sensitivity of total column NO2 at a marine site within the Chesapeake Bay during OWLETS-2 A. Kotsakis et al. 10.1016/j.atmosenv.2022.119063
52. Evaluation of the coupled high-resolution atmospheric chemistry model system MECO(n) using in situ and MAX-DOAS NO2 measurements V. Kumar et al. 10.5194/amt-14-5241-2021
53. Nitrogen dioxide spatiotemporal variations in the complex urban environment of Athens, Greece T. Drosoglou et al. 10.1016/j.atmosenv.2023.120115
54. Informing Near-Airport Satellite NO2 Retrievals Using Pandora Sky-Scanning Observations A. Mouat et al. 10.1021/acsestair.4c00158
55. The impact of anthropogenic emissions sectors on the weekly cycle of ambient NO2 across China J. Gu et al. 10.1016/j.eti.2025.104284
56. A satellite-based, near real-time, street-level resolution air pollutants monitoring system using machine learning for personalised skin health applications R. Temple et al. 10.1007/s11869-024-01577-4
57. Disentangling the Impact of the COVID‐19 Lockdowns on Urban NO2 From Natural Variability D. Goldberg et al. 10.1029/2020GL089269
58. Unveiling Air Pollution in Crimean Mountain Rivers: Analysis of Sentinel-5 Satellite Images Using Google Earth Engine (GEE) V. Tabunschik et al. 10.3390/rs15133364
59. Google Earth Engine based spatio-temporal analysis of air pollutants before and during the first wave COVID-19 outbreak over Turkey via remote sensing F. Ghasempour et al. 10.1016/j.jclepro.2021.128599
60. Trends of CO and NO2 Pollutants in Iran during COVID-19 Pandemic Using Timeseries Sentinel-5 Images in Google Earth Engine S. Shami et al. 10.3390/pollutants2020012
61. Comparison of TROPOMI NO2, CO, HCHO, and SO2 data against ground‐level measurements in close proximity to large anthropogenic emission sources in the example of Ukraine M. Savenets et al. 10.1002/met.2108
62. Análisis de datos satelitales de NO₂ en entornos urbanos: estudio de caso en la ciudad de Madrid C. Morillas López 10.59192/mapping.463
63. Comparison and Validation of TROPOMI and OMI NO2 Observations over China C. Wang et al. 10.3390/atmos11060636
64. Coupling Remote Sensing Insights With Vegetation Dynamics and to Analyze NO2 Concentrations: A Google Earth Engine-Driven Investigation X. Zheng et al. 10.1109/JSTARS.2024.3397496
65. Identifying surface sulphur dioxide (SO2) monitoring gaps in Saint John, Canada with land use regression and hot spot mapping T. Siu et al. 10.1016/j.atmosenv.2025.121238
66. Grid-stretching capability for the GEOS-Chem 13.0.0 atmospheric chemistry model L. Bindle et al. 10.5194/gmd-14-5977-2021
67. Spatiotemporal Investigations of Multi-Sensor Air Pollution Data over Bangladesh during COVID-19 Lockdown Z. Qiu et al. 10.3390/rs13050877
68. Estimation of NO2 emission strengths over Riyadh and Madrid from space from a combination of wind-assigned anomalies and a machine learning technique Q. Tu et al. 10.5194/amt-16-2237-2023
69. Unveiling nitrogen oxide emissions from open-pit copper mines through satellite observations I. Ialongo et al. 10.1088/1748-9326/adb767
70. Air Quality Monitoring Using Sentinel-5p TROPOMI—A Case Study of Pune City S. Shah et al. 10.1007/s42979-024-03500-1
71. Assessment of NO2 population exposure from 2005 to 2020 in China Z. Huang et al. 10.1007/s11356-022-21420-6
72. Evaluation of the first year of Pandora NO2 measurements over Beijing and application to satellite validation O. Liu et al. 10.5194/amt-17-377-2024
73. Maximizing the scientific application of Pandora column observations of HCHO and NO2 P. Rawat et al. 10.5194/amt-18-2899-2025
74. Comprehensive Insights Into O3 Changes During the COVID‐19 From O3 Formation Regime and Atmospheric Oxidation Capacity S. Zhu et al. 10.1029/2021GL093668
75. Monitoring the Impacts of Human Activities on Urban Ecosystems Based on the Enhanced UCCLN (EUCCLN) Model N. Abbaszadeh Tehrani et al. 10.3390/ijgi12040170
76. Satellite-based estimates of nitrogen oxide and methane emissions from gas flaring and oil production activities in Sakha Republic, Russia I. Ialongo et al. 10.1016/j.aeaoa.2021.100114
77. TROPOMI NO2 Tropospheric Column Data: Regridding to 1 km Grid-Resolution and Assessment of their Consistency with In Situ Surface Observations A. Cersosimo et al. 10.3390/rs12142212
78. Estimating daily ground-level NO2 concentrations over China based on TROPOMI observations and machine learning approach S. Long et al. 10.1016/j.atmosenv.2022.119310
79. Air pollution impacts of COVID-19–related containment measures G. Chossière et al. 10.1126/sciadv.abe1178
80. High-resolution modeling of gaseous air pollutants over Tehran and validation with surface and satellite data N. Shahrokhishahraki et al. 10.1016/j.atmosenv.2021.118881
81. NitroNet – a machine learning model for the prediction of tropospheric NO2 profiles from TROPOMI observations L. Kuhn et al. 10.5194/amt-17-6485-2024
82. An improved TROPOMI tropospheric NO2 research product over Europe S. Liu et al. 10.5194/amt-14-7297-2021
83. The Temporal–Spatial Characteristics of Column NO2 Concentration and Influence Factors in Xinjiang of Northwestern Arid Region in China Z. Yu & X. Li 10.3390/atmos13101533
84. Assessing the Impact of Corona-Virus-19 on Nitrogen Dioxide Levels over Southern Ontario, Canada D. Griffin et al. 10.3390/rs12244112
85. Quantifying instantaneous nitrogen oxides emissions from power plants based on space observations T. Tang et al. 10.1016/j.scitotenv.2024.173479
86. Spatial and Temporal Variation of NO2 Vertical Column Densities (VCDs) over Poland: Comparison of the Sentinel-5P TROPOMI Observations and the GEM-AQ Model Simulations M. Kawka et al. 10.3390/atmos12070896
87. Air quality estimation using remote sensing and GIS-spatial technologies along Al-Shamal train pathway, Al-Qurayyat City in Saudi Arabia S. Al-Alola et al. 10.1016/j.indic.2022.100184
88. Changes in Power Plant NOx Emissions over Northwest Greece Using a Data Assimilation Technique I. Skoulidou et al. 10.3390/atmos12070900
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90. Remote Sensing and Geographic Information Systems Detection of Fossil Fuel Air Pollution Impact in Socially Fragile Areas B. Güllüdağ et al. 10.3390/su17073031
91. Evaluating TROPOMI and MODIS performance to capture the dynamic of air pollution in São Paulo state: A case study during the COVID-19 outbreak A. Rudke et al. 10.1016/j.rse.2023.113514
92. A New Algorithm for the Global-Scale Quantification of Volcanic SO2 Exploiting the Sentinel-5P TROPOMI and Google Earth Engine M. Dozzo et al. 10.3390/rs17030534
93. Tropospheric nitrogen dioxide levels vary diurnally in Asian cities J. Park et al. 10.1038/s43247-025-02272-7
94. Association between satellite-detected tropospheric nitrogen dioxide and acute respiratory infections in children under age five in Senegal: spatio-temporal analysis A. Kawano et al. 10.1186/s12889-022-12577-3
95. The Impact of Changes in Anthropogenic Activity Caused by COVID-19 Lockdown on Reducing Nitrogen Dioxide Levels in Thailand Using Nighttime Light Intensity N. Thongrueang et al. 10.3390/su15054296
96. Horizontal distribution of tropospheric NO2 and aerosols derived by dual-scan multi-wavelength multi-axis differential optical absorption spectroscopy (MAX-DOAS) measurements in Uccle, Belgium E. Dimitropoulou et al. 10.5194/amt-15-4503-2022
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99. A machine learning model to estimate ground-level ozone concentrations in California using TROPOMI data and high-resolution meteorology W. Wang et al. 10.1016/j.envint.2021.106917
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108. Evaluation of the LOTOS-EUROS NO2 simulations using ground-based measurements and S5P/TROPOMI observations over Greece I. Skoulidou et al. 10.5194/acp-21-5269-2021
109. Evaluation of spatial distribution and temporal trend of nitrogen dioxide ($${{\varvec{N}}{\varvec{O}}}_{2}$$) pollution using Sentinel-5P satellite imagery over Afghanistan based on Google Earth Engine M. Nabizada et al. 10.1007/s12145-024-01644-5
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124. Direct estimates of biomass burning NOx emissions and lifetimes using daily observations from TROPOMI X. Jin et al. 10.5194/acp-21-15569-2021
125. Observing Nitrogen Dioxide Air Pollution Inequality Using High-Spatial-Resolution Remote Sensing Measurements in Houston, Texas M. Demetillo et al. 10.1021/acs.est.0c01864
126. Spatiotemporal variability/stability analysis of NO 2 , CO, and land surface temperature (LST) during COVID-19 lockdown in Amman city, Jordan A. Almagbile & K. Hazaymeh 10.1080/10095020.2022.2066575
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142. Air Pollution Patterns Mapping of SO2, NO2, and CO Derived from TROPOMI over Central-East Europe B. Wieczorek 10.3390/rs15061565
143. Estimations of the Ground-Level NO2 Concentrations Based on the Sentinel-5P NO2 Tropospheric Column Number Density Product P. Grzybowski et al. 10.3390/rs15020378
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146. Using Data from Earth Observation to Support Sustainable Development Indicators: An Analysis of the Literature and Challenges for the Future A. Andries et al. 10.3390/su14031191
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153. Environmental impacts of shifts in energy, emissions, and urban heat island during the COVID-19 lockdown across Pakistan G. Ali et al. 10.1016/j.jclepro.2021.125806
154. Evaluating NOx emissions and their effect on O3 production in Texas using TROPOMI NO2 and HCHO D. Goldberg et al. 10.5194/acp-22-10875-2022
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156. Accurate space-based NOx emission estimates with the flux divergence approach require fine-scale model information on local oxidation chemistry and profile shapes F. Cifuentes et al. 10.5194/gmd-18-621-2025
157. A Land Use Regression Model to Estimate Ambient Concentrations of PM10 and SO2 in İzmit, Turkey E. Yücer et al. 10.1007/s12524-023-01704-1
158. Reliability Analysis Based on Air Quality Characteristics in East Asia Using Primary Data from the Test Operation of Geostationary Environment Monitoring Spectrometer (GEMS) W. Choi et al. 10.3390/atmos14091458
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