Chapter 2.Review of Related Literature

C H A PTE R 2 . R E V I E W OF RE LA TE D LI TE R A T UR E:

Goldstein,in his paper Planning the Millennium city: The politics of place-making in Gurgaon, presented Gurgaon as an example of a new type of urban construction in postmillennial India, in which the private sector assumes key responsibilities in of town planning. Although the result of this model is often described as a failure of planning, this article argues that the policy of creating places in Gurgaon constitutes a kind of planning without a planner.(Goldstein, 2016)

Tracking and mapping urban growth requires powerful techniques. Remote sensing (RS) data illustrates the spatial location of different activities and analyzes the linkages between activities, regional plans, development plans and environmental plans are prepared. Remote sensing helps to create relationships between different aspects of urban growth while GIS helps to provide information that can be processed as required by future planning. (Tiwari et al., 2014)

Advantages of remote sensing data include reliability and cost-effectiveness of data with area and location information. In addition, with remote sensing data, extracting mantle information for base mapping is a dilemma. It supports the planning, monitoring and execution of strategies due to the availability of time series data. (Gonzalez & Woods, 2007)

Urban development is a dynamic process, and the relationship between urban sprawl and the factors causing urban sprawl is one of the main objectives of the urban studies program. Since then, future urban expansion and management of urban services require sufficient data to better understand ongoing growth processes and the development patterns of developers. resources, managers and researchers. One of the main concerns is the availability of data through remote sensing technology. In addition, issues related to spatial and spectral heterogeneity of the urban environment are also considered when selecting satellite images. (Moran, 2010).

Urban applications need an appropriate source of image data to support such studies. It is believed that to analyze urban sprawl, remote sensing technology can provide an exclusive perspective on urban growth and LULC change processes. (Novaco & Gonzalez, 2009).

Consistency in the acquisition of satellite data by remote sensing over time makes it possible to provide useful LULC information at different geographic scales. The information obtained

using remote sensing satellite imagery can help achieve the modeling aspect of the urban environment, thereby enhancing a thoughtful and insightful understanding of various factors. causes of urban growth and its consequences (Brown & Affum, 2002)). Land use Detection of changes in vegetation cover is a very useful tool for understanding urban growth patterns. And this change detection analysis is only possible using satellite data from different time periods. Various observations, such as spatial and temporal disparities in growth, and whether the growth is generalized, can be investigated as a result of such an analysis.

To recognize urban patterns, remote sensing and GIS have been used very effectively. Moreover, for propagation tracking and urban growth modeling, these two methods are widely used due to their efficiency in terms of time and cost. In addition, by using GIS functions such as decision support systems, it is possible to evaluate the results of remote sensing in combination with other geospatial databases. (Tiwari & Jain, 2014). Therefore, relevance analysis, future forecasting and other related studies can be done in less time.(Herold et al., 2003)led a comprehensive study on the dynamics of urban growth modeling using remote sensing imagery, to accumulate landscape indices that were ultimately evaluated and inferred by synthesis with results obtained from spatial modeling of urban growth. The research they carried out shows that the technology that combines geospatial techniques, landscape measurement, and urban growth modeling is an encouraging approach to analyzing the spatial behavior of urban processes. chemical.