• Aatika Siddiqui
• NA

Cities have been spreading apart due to the recent decades' fast urbanization and population expansion. This study examines the spatiotemporal dynamics of the urbanization process in Delhi, the capital city of India, which is separated into nine districts, utilizing remote sensing and spatial metrics (Jain, Dimri, & Niyogi, 2016). Based on unprocessed satellite imagery, the urban patterns, and procedures within the city's nine administrative districts have been identified considering. Calculations have been made for area, population, patch, edge, and form metrics as well as Shannon's entropy and Pearson's chi statistics. The city is home to three different kinds of urban patterns: 1) The districts that are most extensively distributed are West, North, East, and North East; 2) North West, South, and South West are moderately dispersed; and 3) Central and New Delhi are the least widely distributed. For the districts and time periods, relative entropy which adjusts Shannon's entropy values from 0 to 1—is computed. Its values from 1977 to 1993, 1993 to 2006, and 2006 to 2014 are, respectively, 0.80, 0.92, and 0.50, showing a significant degree of urban sprawl (Jain, Dimri, & Niyogi, 2016). In addition, this study examines and makes an attempt to quantify how urban sprawl has changed land use and land cover over a five-decade period (1972–2014) in India's central national capital region (CNCR). In order to ascertain the patterns of urban growth and changes in land use and land cover in Delhi between 1989 and 2014, satellite-based LULC maps were created and examined. Afterwards, in order to calibrate the model and forecast the future extent of built-up areas, the primary elements leading to urban growth were analyzed. To get the best outcomes, much consideration was paid to model calibration. Our study illustrates the dynamics of change in the urban environment of Delhi, India. The pattern of structural change is most prominently characterized by the establishment of new towns and the distribution and density of population between the spread and the core. However, it is debatable whether or not it is useful to designate villages as census towns for the purpose of include them in the urban agglomeration because it hides the underlying character of urbanization, which is demonstrated by the shifting patterns within the urban spread.

Shannon, Entropy, Urban environment, Urbanization, Spatiotemporal dynamics, LULC, Spatial metrics, Remote sensing, Satellites, etc

"Quantifying Delhi's Sprawl Signature: A Geospatial analysis of Peri-Urban Morphogenesis (1980-2024)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.f800-f819, April-2024, Available :http://www.jetir.org/papers/JETIR2404589.pdf

"Quantifying Delhi's Sprawl Signature: A Geospatial analysis of Peri-Urban Morphogenesis (1980-2024)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppf800-f819, April-2024, Available at : http://www.jetir.org/papers/JETIR2404589.pdf