Analysis of Decadal Land Use Changes and Its Impacts on Urban Heat Island (UHI) Using Remote Sensing-Based Approach: A Smart City Perspective

Sashikanta Sahoo (), Atin Majumder, Sabyasachi Swain (), Gareema, Brijendra Pateriya and Nadhir Al-Ansari ()
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Sashikanta Sahoo: Punjab Remote Sensing Centre, Ludhiana 141004, India
Atin Majumder: Department of Climate Change and Agricultural Meteorology, Punjab Agricultural University, Ludhiana 141004, India
Sabyasachi Swain: Department of Water Resources Development and Management, Indian Institute of Technology Roorkee, Roorkee 247667, India
Gareema: Department of Geography, Panjab University, Chandigarh 160014, India
Brijendra Pateriya: Punjab Remote Sensing Centre, Ludhiana 141004, India
Nadhir Al-Ansari: Department of Civil, Environmental and Natural Resources Engineering, Lulea University of Technology, 971 87 Lulea, Sweden

Sustainability, 2022, vol. 14, issue 19, 1-20

Abstract: The land surface temperature (LST) pattern is regarded as one of the most important indicators of the environmental consequences of land use/land cover change. The possible contribution of land surface to the warming phenomenon is being investigated by scientists across the world. This research focuses on variations in surface temperature and urban heat islands (UHIs) over the course of two seasons, i.e., winter and summer. Using remotely sensed datasets and geospatial techniques, an attempt was made to analyze the spatiotemporal variation in urban heat islands (UHIs) and its association with LULC over Chandigarh from 2000 to 2020. The Enhanced Built-up and Bareness Index (EBBI), Dry Built-up Index (DBI), and Dry Bare-Soil Index (DBSI) were used to identify built-up areas in the city. The results revealed an increase of 10.08% in BA, whereas the vegetation decreased by 4.5% over the study period, which is in close agreement with the EBBI, DBI, and DBSI assessments. From 2000 to 2020, the UHI intensities increased steadily in both the summer and winter seasons. Dense built-up areas such as the industrial unit of the city possessed the highest UHI index (>0.7) values.

Keywords: remote sensing; land surface temperature; urban heat island; sustainable environment; smart city; UHI index (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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