REGIONAL DATASETS FOR AIR QUALITY MONITORING IN EUROPEAN CITIES

G.- F. Angelis; A. Emvoliadis; T.-I. Theodorou; A. Zamichos; A. Drosou; D. Tzovaras

2024-07-12IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium 2024 7Spatio-Temporal ForecastingMultivariate Time Series ImputationTime Series
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Abstract

The primary environmental health threat in the WHO European Region is air pollution, impacting the daily health and well-being of its citizens significantly. To effectively understand the impact, and dynamics of air quality a detailed investigation of different environmental, weather, and land cover indices is appropriate. To this end, this paper introduces three European cities’ spatiotemporal datasets, customized for air pollution monitoring at a regional level. The datasets are composed of major air quality, weather measurements and land use information. The duration is approximately from 2020 to 2023 with an hourly temporal resolution and a spatial resolution of 0.005°. The temporal and spatiotemporal datasets are publicly released aiming to provide a solid foundation for researchers, analysts, and practitioners to conduct in-depth analyses of air pollution dynamics.

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