This study applies open-source software including GeoServer, OpenLayer, and QGIS2Web in conjunction with QGIS to build a database, along with Visual Studio Code to develop a WebGIS for monitoring air quality in Binh Duong province in 2024. The authors utilized Sentinel-5P satellite data to extract concentrations of air pollutants (NO₂, SO₂, CO, and O₃) through a scripting interface on the Google Earth Engine platform. They also incorporated ground-based data from 29 monitoring stations, provided by the Binh Duong Environmental Monitoring Center. The WebGIS was developed to display information on air pollution parameters (NO₂, SO₂, CO, and O₃) in the Binh Duong area, featuring monthly averages for the year 2024. It includes maps of pollutant distributions and statistical summaries by month and monitoring location. Through the WebGIS application, users can access and query air quality data, enabling policymakers and managers to develop effective strategies for air pollution control and environmental management in the study area.