Correction: Assessing the impact of spatio-temporal land use and land cover changes on land surface temperature, with a major emphasis on mining activities in the state of Chhattisgarh, India ( Nov ,10. 1007/ s41324- 023- 00563-9 , 2023)

被引:0
作者
Bhagat, Shubham [1 ]
Prasad, P. Rama Chandra [2 ]
机构
[1] Indian Inst Sci Educ & Res Kolkata, Mohanpur 741246, W Bengal, India
[2] Int Inst Informat Technol Hyderabad, Lab Spatial Informat, Hyderabad 500032, Telangana, India
关键词
Chhattisgarh; Coal mining; Land surface temperature; Land use land cover; Urban heat island; Vegetation;
D O I
10.1007/s41324-023-00568-4
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
The global impact of coal mining and associated activities on land use/land cover (LULC) changes is significant. This study used Landsat satellite images from 1990 to 2020 to assess LULC changes and their impact on land surface temperature (LST) in four districts of Chhattisgarh state, India. Over three decades, Korba and Raigarh districts saw expansion in coal mines, built-up areas, and water bodies, while forest areas diminished by 711.3 km2 and 212.87 km2, respectively. Koriya district saw coal mine expansion of 5.68 km2 (1990–2010), later declining to 2.85 km2, alongside growth in built-up regions, and forest cover reduction by 251.31 km2 in 2020. Surguja district experienced coal mine and built-up area expansion (1990–2020), with initial forest decline of 160.21 km2 in 2010 followed by recovery in 2020. LST was determined using the Mono-window algorithm. LST increased during winter and summer, with the most significant rise in summer. Vegetation-rich regions had lower LST, while coal mines had the highest temperatures. There was a positive relationship between mining land patch size and patch temperatures. This study underscores the need for vegetation restoration in mining areas, particularly abandoned sites, and sustainable mining practices to mitigate coal mining's warming effects. © 2023, The Author(s), under exclusive licence to Korea Spatial Information Society.
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页码:357 / 357
页数:1
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[1]  
Bhagat S, 2024, SPAT INF RES, V32, P339, DOI 10.1007/s41324-023-00563-9