  Air quality has major impact on a country's socio-economic position and
identifying major air pollution sources is at the heart of tackling the issue.
Spatially and temporally distributed air quality data acquisition across a
country as varied as India has been a challenge to such analysis. The launch of
the Sentinel-5P satellite has helped in the observation of a wider variety of
air pollutants than measured before at a global scale on a daily basis. In this
chapter, spatio-temporal multi pollutant data retrieved from Sentinel-5P
satellite is used to cluster states as well as districts in India and
associated average monthly pollution signature and trends depicted by each of
the clusters are derived and presented.The clustering signatures can be used to
identify states and districts based on the types of pollutants emitted by
various pollution sources.
