Urban Sprawl Using Shannon Entropy Approach - A Case Study of Special Economic Zone – Geo Spatial Technique

Abstract

All nations focus on developing their own countries with several policies and regulations for the industries. The recent increase in the world’s population has magnified the effects of our agricultural and economic activities. Population growth leads to urbanization and industrialization which causes overexploitation of resources. The changes in land use practices and encroachment affect biodiversity and alter species ranges and interactions. Automation and other economic development lead to solid waste accumulation which causes health issues for humans and other organisms. This study is mainly aimed to analyze the transformation of the sub-urban region shifting to a sub-urban-economic center due to employment opportunities. Using Shannon's ent entropy model, the remote sensing satellite image of the Linear Imaging Self Scanning Sensor (LISS-4) is used to measure the urban trend pattern in SEZ. The immense growth of industrialization and urbanization causes habitat loss, changes in land cover patterns, and biodiversity loss in this region. The population data has been used for the population density study and the growth of economic activity in this region. Sustainable development is key to balancing socio-ecological development as well as the environment. This study will discuss and identify the merits and demerits of SEZ. Hence, the result concludes that urbanization causes agricultural loss, water scarcity, and land pattern changes in the special economic zone (SEZ).