The Thailand Institute of Scientific and Technological Research (TISTR), the Pollution Control Department (PCD) and satellite operator Thaicom have signed a memorandum of understanding to develop an AI-powered platform to manage the country's PM2.5 dust pollution.
The project will integrate space technology, meteorological data and machine learning to forecast pollution hotspots up to seven days in advance.
Using "upper air" data such as temperature inversion and wind speed, alongside real-time PM2.5 concentrations from monitoring stations, the system will provide risk maps displayed on a web-based dashboard. The forecasts will also feed into the government's "Burn Check" application, supporting more accurate approval and regulation of open burning activities.
Assoc Prof Dr Weerachai Acharaporn, governor of TISTR, emphasised the importance of reliable data and advanced AI analysis for proactive pollution management. "This collaboration allows us to provide early warnings, enabling authorities to respond effectively and communities to better protect their health," he said.
PCD director-general Priyaporn Suwannakes said advanced planning based on reliable data, modern technology, and integrated cooperation among agencies would enable a more systematic and proactive air quality management approach.
Thaicom CEO Pathompob Suwansiri, meanwhile, said satellite data will be combined with AI modelling to improve forecasting accuracy.
The platform is expected to deliver real-time nationwide tracking of PM2.5, cloud density and air flow, enhancing both prevention and response measures. Officials say the initiative represents a significant step in public-private collaboration, with the ultimate aim of safeguarding public health.