Quantifying urban Land Surface Temperature (LST) dynamics in an industrial and mining hub of Eastern India using remote sensing and geospatial analysis

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作   者：

Harekrishna Manna;  Sanjit Sarkar; 

作者机构：

Central University of Karnataka; 

期刊名称：

Theoretical and Applied Climatology

i s s n：

0177-798X

年卷期：

2025 年 156 卷 3 期

页   码：

1.1-1.27

页   码：

摘   要：

Abstract Human activity has impacted the world climate. Therefore, metropolitan areas are especially vulnerable to catastrophic weather and environmental problems. The local climate has deteriorated due to urbanization and industrialization, which has resulted in the degradation of green space, increased high concretization, soil erosion, subsidence of land, inadequate runoff, and reduced infiltration rates. This study examines the spatiotemporal changes in Land Use and Land Cover (LULC) and their impact on Land Surface Temperature (LST) and Urban Heat Islands (UHI) in Asansol Municipal Corporation (AMC). The maximum likelihood classifier method has been used to quantify the LULC and different spatial indices such as Normalized Difference Vegetation Index (NDVI), Normalized Difference Bare Soil Index (NDBSI), Normalized Difference Moisture Index (NDMI), and Particulates Matter (PM) 2.5 have applied to determine the relation with LST. The results show that the cultivation land (-42.76 km2), vegetation cover (-5.66 km2), and water body (-4.75 km2) has been decreasing continuously in the last 20 years, subsequently, the built-up area (27.65 km2), and industrial belt (6.88 km2) have been increased during the same periods due to the urbanization, industrialization, and rapid population growth. The correlation analysis shows that the NDVI, NDMI, and PM 2.5 are inversely correlated with LST, whereas NDBSI positively affects the LST. The study also shows that the bare surface, mining area, and industrial belt situated on the outskirts of the city shows comparatively higher temperatures than the core of the city in the years 2001 and 2011. Moreover, in 2021, the highest temperature has been shifted towards the city center because of high rate of concretization. Linear regression analysis shows a robust correlation (R2>0.40) between different spatial indices and LST for various periods. Conspicuously, built-up areas, bare surfaces, water bodies, and vegetation cover wield stimulus to the LST. The study suggests the strategic significance of adjusting urban developments and offers crucial insights into the dynamic interplay between environmental elements and urbanization.