Assessment of land use/land cover changes and its effect on land surface temperature using remote sensing techniques in Southern Punjab, Pakistan.

Autor: Hussain S; Department of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Islamabad, 61100, Pakistan., Mubeen M; Department of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Islamabad, 61100, Pakistan., Ahmad A; Asian Disaster Preparedness Center (ADPC), Bangkok, Thailand., Majeed H; Department of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Islamabad, 61100, Pakistan., Qaisrani SA; Department of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Islamabad, 61100, Pakistan., Hammad HM; Department of Agronomy, Muhammad Nawaz Sharif University of Agriculture, Multan, 66000, Pakistan., Amjad M; Department of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Islamabad, 61100, Pakistan., Ahmad I; Department of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Islamabad, 61100, Pakistan., Fahad S; Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresource, College of Tropical Crops, Hainan University, Haikou, 570228, Hainan, China. shah_fahad80@yahoo.com.; Department of Agronomy, University of Haripur, Khyber Pakhtunkhwa, Pakistan. shah_fahad80@yahoo.com., Ahmad N; Department of Zoology, University of Education, Vehari Campus, Lahore, Pakistan., Nasim W; Department of Agronomy, Faculty of Agriculture and Environment, The Islamia University of Bahawalpur (IUB), Bahawalpur, Punjab, Pakistan.
Jazyk: angličtina
Zdroj: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2023 Sep; Vol. 30 (44), pp. 99202-99218. Date of Electronic Publication: 2022 Jun 29.
DOI: 10.1007/s11356-022-21650-8
Abstrakt: Land surface temperature (LST) is defined as a phenomenon which shows that microclimate of an urban system gets heated much faster than its surrounding rural climates. The expansion of buildings has a noteworthy influence on land use/land cover (LULC) due to conversion of vegetation land into commercial and residential areas and their associated infrastructure by which LST is accelerated. The objective of the research was to study the impact of changes in LULC on LST of Southern Punjab (Pakistan) through remote sensing (RS) data. Landsat images of 30-year duration (1987, 1997, 2007 and 2017) were employed for identifying vegetation indices and LST in the study region. These images also helped to work out normalized difference water index (NDWI) and normalized difference built-up index (NDBI) maps. There was an increase from 29620 (3.63 %) to 88038 ha (10.8 %) in built-up area over the 30 years. LST values were found in the range 12-42 °C, 11-44 °C, 11-45 °C and 11-47 °C in the years 1987, 1997, 2007 and 2017, respectively. Regression coefficients (R 2 ) 0.81, 0.78, 0.84 and 0.76 were observed between NDVI and LST in the corresponding years respectively. Our study showed that NDVI and NDWI were negatively correlated with less LST; however, NDBI showed positive correlation with high LST. Our study gives critical information of LULC and LST and will be a helpful tool for policy makers for developing effective policies in managing land resources.
(© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
Databáze: MEDLINE
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