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Automated Sentinel-5P Data Pipeline for Pollution Monitoring

94 words·1 min·
Adian Dawuda
Master’s student in Applied Geoinformatics focused on earth observation and spatial data science

To streamline the process of monitoring emissions above Thailand and the surrounding areas, this project creates an Python pipeline to automatically download, process, and visualize Sentinel-5P data. This project was conducted at the Asian Institute of Technology’s Geoinformatics Center.

Details and implementation instructions can be found on the project’s GitHub Repository.


Automatic pipeline to download, process, and visualize Sentinel-5P data for pollution monitoring


A live implementation of the pipeline, automatically updating on a weekly basis, is hosted at

Figure 1: Average weekly NO2 concentrations over Thailand in September 2023