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Mapping and estimating road traffic emissions pose significant challenges, requiring extensive observation, research, and focus, and will spare for months in order to understand and achieve accurate m...easurements of each pollutant’s concentrations level, due to the difficulty of generating a working code for us in order to extract data images. This study will present a new spatiotemporal dataset that is being collected and processed from a sentinel 5P remote sensing platform. Lately, due to the outbreak of coronavirus, that’s why the pollutant concentration has been lessened day emitting to the atmosphere, by limiting public and private transport the reasons of the decreased level concentration in the Caraga region. The main objective of this study is to evaluate the effectiveness of Sentinel-5 Precursor Tropomi (Tropospheric Monitoring Instrument) satellite images for air quality monitoring. To meet the main objective of this study, generating a map and chart showing the carbon monoxide (CO), nitrogen dioxide (NO2), and sulfur dioxide (SO2) pollutants concentration levels to evaluate before, during, and after COVID-1 through change detection analysis starting from the year 2018 to 2021 semi-annually. Visualization/Extraction of Sentinel-5P data is done using Google Earth Engine. The generated maps and charts reveal improved pollutant concentrations during the pandemic, providing valuable insights to authorities regarding the detrimental impact of vehicle emissions on human health.続きを見る
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