Abstract
Abstract. The cities where the future happens first, they are open, creative, cosmopolitan and sexy and the perfect antidote to reactionary nationalism but the urbanization in unplanned manner is becoming an environmental-social-economical threat to accommodate the huge number of population which is literally boosting the present situation of climate change due to global warming. Extracting, measuring and treating the urban area which compiles of dense built-up and complex road network, is very essential to decrease the negative impact on environment. If most of the impervious surfaces can be replaced with permeable or semi-permeable materials or solar panel then the habitation will be saved from natural disastrous events like heat wave and flash flood. Urbanization can be categorized mainly into two: a) Static (urban open space + built space) and b) Dynamic (transportation). The static and dynamic urbanizations largely consist of impermeable or impervious materials. Impervious surfaces are alluded as the anthropogenic elements through that water can't infiltrate into the soil, such as streets, driveways, parking areas, houses, structures etc. An urban area is a densely populated human settlement, facilitated with multiple infrastructures including built and un-built. These areas or settlements are categorized as towns, suburbs, cities by urban morphology. Through balancing the ratio between the un-built (urban space) and built (building & roads), urban disastrous events can be minimized. This research mainly focused on the extraction of impervious areas using regression modelling approach which is used to generate an impervious surface map from Sentinel-2A dataset of Delhi. Utilising multiple normalised indices can provide better classification results. This study shows that in urban areas imperviousness is becoming one of the prominent computational parameter and monitoring impervious areas could help us understand a lot of urban phenomena which are built-up induced and its rapid change in urban environment is giving rise to unhealthy living conditions.
Highlights
With a large number of individuals moving to urban areas, the urban region is growing at much faster rates to accommodate them
This research mainly focused on the extraction of impervious areas using regression modelling approach which is used to generate an impervious surface map
Mapping of urban environment is very much critical to understand the present scenario of an urban area and this will help in predicting the future conditions
Summary
With a large number of individuals moving to urban areas, the urban region is growing at much faster rates to accommodate them. In Asia, several large cities, for example, Dhaka, Delhi, Seoul and Beijing are home to more than 30 million individuals. Outside Asia, several large cities, for example, New York, Mexico City, Paris, London is facilitating more than 20 million individuals and the number is as yet boosting all along. Cities in the developing countries are more vulnerable to damages because their ability to adapt to catastrophes is restricted. A total of 3 Million of population migrate to cities each week all over the world. It will be best to create an urban environment that can synthesise with the natural environment and would cause less adverse effects or can assess the damage of existing urban environment to evaluate its restoration parameters
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