Air pollution represents a critical environmental challenge with significant negative impacts on human health, livestock, and vegetation. To mitigate these risks, consistent air quality monitoring is recognized as an actual and important task due to such international standards and regulations, as the EU Air Quality Directive (2008/50/EC) and World Health Organization (WHO) guidelines. For this monitoring, the most effective tool is remote sensing, since it provides means for regular and large-scale analysis with almost open-source and freely available data. Specifically, the Sentinel-5P dataset provides the necessary spatial (approximately 1 km) and temporal (2 days) resolution for effective regional monitoring. Also, it enables the analysis of multiple pollutant, including nitrogen dioxide (NO₂), sulfur dioxide (SO₂), methane (CH₄), and carbon monoxide (CO). Given the large data volumes involved, the Google Earth Engine (GEE) platform serves as a highly effective environment for automated processing. Thus, the aim of this study is to develop an automated air quality monitoring application based on Google Earth Engine and Sentinel-5P data The developed application was applied to the Dnipropetrovsk and Zaporizhzhia regions to conduct a comparative analysis between the pre-war (2019–2021) and wartime (2022–2024) periods. The obtained results revealed that the combined area of “High” and “Very High” NO₂ concentration classes decreased from 37.9% to 29.3%, while the combined area of “Medium” and “Low” classes increased from 62.1% to 70.7%. The observed improvement in air quality is driven by military actions in these regions, which caused a decrease in industrial activity.
European Parliament and Council of the European Union. (2008). Directive 2008/50/EC of the European Parliament and of the Council of 21 May 2008 on ambient air quality and cleaner air for Europe. Official Journal of the European Union, L152, 1–44. https://eur-lex.europa.eu/eli/dir/2008/50/oj/eng
Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment, 202, 18–27. https://doi.org/10.1016/j.rse.2017.06.031
Halder, B., Ahmadianfar, I., Heddam, S., Mussa, Z. H., Goliatt, L., Tan, M. L., Sa’adi, Z., Al-Khafaji, Z., Al-Ansari, N., Jawad, A. H., & Yaseen, Z. M. (2023). Machine learning-based country-level annual air pollutants exploration using Sentinel-5P and Google Earth Engine. Scientific Reports, 13(1), 7968. https://doi.org/10.1038/s41598-023-34774-9
Ievsiukov, T. O., Martyn, A., Elistratova, L., Apostolov, A., Kostyuchenko, Y. V., & Yuschenko, M. (2018). An investigation of the impact of the military crisis in Ukraine on agricultural production and land resources in crisis territories: Approaches, algorithms, and methods. In S. Waechter (Ed.), Agricultural production: Management, opportunities and challenges (pp. 21–86). Nova Science Publishers.
Popov, M., Stankevich, S., Kozlova, A., Piestova, I., Lubskiy, M., Titarenko, O., Svideniuk, M., Andreiev, A., Lysenko, A., & Singh, S. K. (2021). Long-Term satellite data time series analysis for land degradation mapping to support sustainable land management in Ukraine. In Advances in geographical and environmental sciences (pp. 165–189). https://doi.org/10.1007/978-981-16-4768-0_11
Savenets, M., & Osadchyi, V. (2024). Remote sensing of air pollution in Ukraine. In Studies in systems, decision and control (pp. 337–356). https://doi.org/10.1007/978-3-031-66764-0_17
Savenets, M., Osadchyi, V., Komisar, K., Zhemera, N., & Oreshchenko, A. (2023). Remotely visible impacts on air quality after a year-round full-scale Russian invasion of Ukraine. Atmospheric Pollution Research, 14(11), 101912. https://doi.org/10.1016/j.apr.2023.101912
Stankevich, S., Titarenko, O., Svideniuk, M., Kharytonov, M., Benselhoub, A., & Khlopova, V. (2016). Air pollution mapping with nitrogen and sulfur dioxides in the south-eastern part of Ukraine using satellite data. Mining Science, 23. https://doi.org/10.5277/msc162302
Stankevich, S., Zaitseva, E., Kozlova, A., & Andreiev, A. (2023). Wildfire risk assessment using earth observation data: A case study of the Eastern Carpathians at the Slovak-Ukrainian frontier. In Studies in systems, decision and control (pp. 131–143). https://doi.org/10.1007/978-3-031-40997-4_9
United Nations. (2015). Transforming our world: The 2030 Agenda for Sustainable Development. https://sdgs.un.org/2030agenda
World Health Organization. (2021). WHO global air quality guidelines: Particulate matter (PM2.5 and PM10), ozone, nitrogen dioxide, sulfur dioxide and carbon monoxide. World Health Organization. https://www.who.int/publications/i/item/9789240034228
Yan, X., Lyu, H., Chen, Z., Peng, R., Chen, J., Zou, J., Dong, W., & Wang, Q. (2025). Real-Time Remote sensing for Sudden surface Anomalies: A Review of principles and challenges. Space Science & Technology, 5. https://doi.org/10.34133/space.0362