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Automated Sentinel-5P Data Pipeline for Pollution Monitoring

78 words·1 min·
Author
Adian Dawuda
Master’s student in Applied Geoinformatics at the University of Salzburg’s Department of Geoinformatics (Z_GIS)

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.

A live implementation of the pipeline, automatically updating on a weekly basis, is hosted at https://gicait.github.io/sentinel5P-automated.

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