ASSESSMENT OF SENTINEL-5P PERFORMANCE FOR GROUND-LEVEL AIR QUALITY MONITORING: PREPARATORY EXPERIMENTS OVER THE COVID-19 LOCKDOWN PERIOD

6 citations as recorded by crossref.

1. NO2 Concentration Estimation at Urban Ground Level by Integrating Sentinel 5P Data and ERA5 Using Machine Learning: The Milan (Italy) Case Study J. Cedeno Jimenez & M. Brovelli 10.3390/rs15225400
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3. Monitoring of urban ecological environment including air quality using satellite imagery Y. Wang et al. 10.1371/journal.pone.0266759
4. Estimating Daily NO2 Ground Level Concentrations Using Sentinel-5P and Ground Sensor Meteorological Measurements J. Cedeno Jimenez et al. 10.3390/ijgi12030107
5. A review of GIS methodologies to analyze the dynamics of COVID‐19 in the second half of 2020 I. Franch‐Pardo et al. 10.1111/tgis.12792
6. A novel architecture of Web-GIS for mapping and analysis of echinococcosis in Poland M. Kulawiak et al. 10.1007/s12518-022-00424-4