Teacher
Maria Brovelli (maria.brovelli@polimi.it)
Tutors
Vasil Yordanov (vasil.yordanov@polimi.it)
Rodrigo Cedeno (jesusrodrigo.cedeno@polimi.it)
Research area
Geoinformatics
Keywords
air quality, data integration, remote sensing
Technologies
Languages: Python, Jupyter Notebook, Remote Sensing Libraries (e.g., rasterio, xarray), Automation Tools (e.g., Airflow, cron)
Description
This project focuses on automating the integration of meteorological and air quality data from multiple sources, including CMCC, Sentinel-5P satellite data, ARPA ground sensors, and ERA5. The goal is to harmonize and process these datasets in an automated pipeline, enhancing the analysis of air pollution and meteorological patterns across the Mediterranean region. Students will automate the download and preprocessing of CMCC meteorological data, integrate it with high-resolution Sentinel-5P air quality data, incorporate ERA5 reanalysis data, and combine this with ARPA’s local ground-based sensor data. The project aims to build a unified and automated framework for spatially and temporally integrated air quality analysis, improving the understanding of pollution dynamics and supporting informed environmental decision-making.