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

被引:24
作者
Sahoo, Sashikanta [1 ]
Majumder, Atin [2 ]
Swain, Sabyasachi [3 ]
Gareema [4 ]
Pateriya, Brijendra [1 ]
Al-Ansari, Nadhir [5 ]
机构
[1] Punjab Remote Sensing Ctr, Ludhiana 141004, Punjab, India
[2] Punjab Agr Univ, Dept Climate Change & Agr Meteorol, Ludhiana 141004, Punjab, India
[3] Indian Inst Technol Roorkee, Dept Water Resources Dev & Management, Roorkee 247667, Uttar Pradesh, India
[4] Panjab Univ, Dept Geog, Chandigarh 160014, India
[5] Lulea Univ Technol, Dept Civil Environm & Nat Resources Engn, S-97187 Lulea, Sweden
关键词
remote sensing; land surface temperature; urban heat island; sustainable environment; smart city; UHIindex; SURFACE TEMPERATURE; CHANDIGARH CITY; ALGORITHM; ELEVATION; CITIES; REGION; COVER; IMAGE; AREA;
D O I
10.3390/su141911892
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 UHIindex (>0.7) values.
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页数:20
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