Teacher
Maria Brovelli (maria.brovelli@polimi.it)
Tutors
Vasil Yordanov (vasil.yordanov@polimi.it)
Lorenzo Amici (lorenzo.amici@polimi.it)
Research area
Geoinformatics
Keywords
Copernicus Atmosphere Monitoring Service, air quality, QGIS
Technologies
Python, QGIS
Description
This project aims at updating a QGIS plugin that currently allows importing and analysing CAMS (Copernicus Atmosphere Monitoring Service) data. The plugin is able to let the user select the query parameters for the retrieval of the images (date, AOI, type of pollutant etc.), download the images, display them in QGIS. Additional functionality is set to be integrated: temporal aggregation; compute some statistics on the obtained data, bivariate statistics (e.g., with land cover products from Copernicus Land Monitoring Service). Publishing the plugin to the QGIS plugin repository. This plugin will make the vast archive of CAMS air pollution data more accessible for QGIS users, as well as provide a first analysis tool.