Abstract
Air pollution is a major problem of many countries around the world. The main source of the air pollution due to growing urbanization, growth of the industry, vehicles etc. In this research produce an empirical model using Landsat 8 satellite data and ground PM 10 measurement for determination of particulate matter (PM 10) concentration in the atmosphere over Dehradun city, the capital of Uttarakhand . The research focus on air pollution determination using atmospheric reflectance (DOS method) and correlate to PM 10 ground measurement . The outcomes of this research showed that visible bands of Landsat 8 OLI were capable of calculating PM10 concentration to an acceptable level of accuracy.
Highlights
Air pollution is a universally major issue to human being
The digital numbers of the four visible bands namely blue, green, red and NIR of Landsat 8 OLI were extracted corresponding to the locations of ground PM10 measurements over Dehradun district
The Landsat visible band converted into Radiance, top of atmospheric reflectance (TOA) and surface reflectance using DOS method
Summary
Air pollution is a universally major issue to human being. It causes various health problems and effects on natural environment i.e. increase the level of temperature. Major industrialization, is the main source of air pollution and other cause of dispersion of air pollution, including emission from vehicle, weather condition, humidity, presence of building and thermal power plant. Air pollution shows high spatial variability, even at short distances (Wijeratne et al, 2006). According to 2014 report of World Health Organization (WHO), 92% of the world population was living in places where WHO air quality guideline standards were not met. Outdoor air pollution in both cities and rural areas was estimated to have caused 3 million deaths worldwide in 2012
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Advanced Remote Sensing and GIS
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
