Use of Remote Sensing Data to Identify Air Pollution Signatures in India
- Resource Type
- Authors
- Lipika Deka; Manik Gupta; K. N. Sivaramakrishnan
- Source
- Geo-intelligence for Sustainable Development ISBN: 9789811647673
- Subject
- Pollution
Pollutant
business.industry
Computer science
media_common.quotation_subject
Environmental resource management
Air pollution
medicine.disease_cause
Air pollutants
Remote sensing (archaeology)
medicine
business
Cluster analysis
Scale (map)
Air quality index
media_common
- Language
Air quality has a 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, spatiotemporal multi-pollutant data retrieved from Sentinel-5P satellite is used to cluster states as well as districts in India, and the associated average monthly pollution signatures 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.