GIS and Remote Sensing-Based Assessment of Urban Expansion and Land Use/Land Cover Change in Jamshedpur: A Review
Keywords:
Remote sensing; GIS; urban expansion; land use/land cover change; Jamshedpur; land surface temperature; urban sprawlAbstract
Rapid urbanisation in India has transformed the physical landscape of its cities, and medium-sized industrial centres have experienced some of the most intense land conversions. Jamshedpur, the first planned industrial city of India and a major steel-producing hub in Jharkhand, offers a distinctive setting in which company-led planning, mineral-based industrialisation, forested uplands and two major rivers interact. the application of remote sensing (RS) and geographic information systems (GIS) to the assessment of urban expansion and land use/land cover (LULC) change, with particular attention to Jamshedpur and comparable cities in eastern and central India. The literature is examined under four themes: satellite data sources and pre-processing, image classification and accuracy assessment, measurement of urban expansion and sprawl, and the environmental consequences of land transformation, including forest degradation and rising land surface temperature (LST). The reviewed studies consistently report growth of built-up land at the expense of agricultural land, vegetation, open space and water bodies, alongside a positive association between impervious surfaces and surface heating. Machine learning classifiers, cloud computing platforms and spatial metrics such as Shannon’s entropy have improved the reliability of change detection. However, Jamshedpur-specific evidence remains limited, fragmented and largely confined to the peri-urban forest of Dalma. The review concludes by identifying priorities for future work, including high-resolution mapping, predictive modelling, integration of socio-economic data and assessment of urban ecosystem services.
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