Developing an air quality monitoring system in Ninh Thuan province from multi-temporal remote sensing image data and open-source hydrometeorological data

Abstract

Environmental issues, especially the air environment, significantly impact people's health. Therefore, regular and continuous monitoring of emission sources is required to provide the earliest warning information and recommendations to people to help prevent and minimize the impacts of air pollution. To minimize the impacts of air pollution on the people mentioned above, the article proposed a technological process to build a system based on WebGIS technology; the system uses Google Earth Engine to collect and analyze data. Multi-temporal remote sensing Sentinel 5P combines with open-source hydrometeorological data (provided by Weather API) to create air quality maps. The system is built on the free NodeJS platform. System data is collected from Google Earth Engine and "Weather API"; Stored and managed in the PostgreSQL database management system, visualized using the Leaflet library.