The rapid expansion of urban areas due to rise in population and economic growth is increasing the additional demand on natural resources thereby causing land-use changes especially in megacities. Bengaluru, being a city of India’s high-tech industry has been facing deteriorating environmental conditions. This paper deals with studying the problems by designing the Machine Learning (ML) model which helps in detecting the Green Cover Change, Urban sprawl, Air Quality Parameters concentration in Bangalore region for the future and analyse them with Geographic Information System (GIS) data’s using Remote Sensing (RS) satellite images of various years of Bangalore city along with some mitigation
Vernekar, Gagan; Naidu, Dhanush B.; Galajalaxmi, K Prof.; K, Kiran; and Havinal, Manjunatha
"Simulating the Impact of Urban Sprawl in Spatiotemporal Variation of Air Pollution in Bangalore Region using ML and GIS.,"
Undergraduate Academic Research Journal: Vol. 1:
2, Article 5.
Available at: https://www.interscience.in/uarj/vol1/iss2/5
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