ijegeo

International Journal of Environment and Geoinformatics

2148-9173

Istanbul University

10.30897/ijegeo.890206

Human Geography Photogrammetry and Remote Sensing

Beşeri Coğrafya Fotogrametri ve Uzaktan Algılama

The Land Surface Temperature Dynamics and Its Impact on Land Cover in District Peshawar, Khyber Pakhtunkhwa

https://orcid.org/0000-0002-7295-0959

Ahmad

Naseem

University of Peshawar

https://orcid.org/0000-0003-1337-6624

Waqas

Tahir

University of Peshawar

https://orcid.org/0000-0002-4063-6666

Shafique

Muhammad

University of Peshawar

https://orcid.org/0000-0002-3491-1545

Ullah

Ihsan

University of Peshawar

09 08 2022

9 3 97 107 04 20 2021 01 26 2022

2014

International Journal of Environment and Geoinformatics

The landcover has most essential impact on the climatic condition of any region. The rapid urbanization induces key changes into the climatic condition of any region. This changing pattern of urbanization has induced micro level climatic changes with demographic variation as the key factor. In this study we analyzed the effect of landcover classes on the LST in the Peshawar for 1990. 2000, 2010 and 2019. The results revealed that the builtup area has been increased from 14.20% to 20.22% during 1990 to 2019. The results also show that the LST values are between the ranges of 25°C to 36°C. The air temperature and LST have very compromising correlation. The hype and increase in the UHI zones are resultant to rapid urbanization and expansion of Old Municipal Corporation with initiation of developmental projects in the area. This study will help urban planners and decision makers in landuse planning and management to mitigate the increase in LST with the replacement of possible impervious surfaces with green built and road side plantation for comfortable urban environment.

Landcover Climate Urbanization LST Environment

Ali, A.; Nosheen, G.; Khan, K. A. The Unforgettable Indus River Flood-2010: A Review. 2012, 2012, 9, 4.

Chen, X.-L.; Zhao, H.-M.; Li, P.-X.; Yin, Z.-Y. Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes. Remote Sensing of Environment, 2006, 104, (2), 133-146.

Estoque, R. C.; Murayama, Y.; Myint, S. W. Effects of landscape composition and pattern on land surface temperature: An urban heat island study in the megacities of Southeast Asia. Science of The Total Environment, 2017, 577, 349-359.

Feng, H.; Zhao, X.; Chen, F.; Wu, L. Using land use change trajectories to quantify the effects of urbanization on urban heat island. Advances in Space Research, 2014, 53, (3), 463-473.

Ghufran, N. The Role of UNHCR and Afghan Refugees in Pakistan. Strategic Analysis, 2011, 35, (6), 945-954.

Khan, M. S.; Ullah, S.; Sun, T.; Rehman, A. U.; Chen, L. Land-Use/Land-Cover Changes and Its Contribution to Urban Heat Island: A Case Study of Islamabad, Pakistan. Sustainability, 2020, 12, (3861).

Lin, T.-P.; Chen, Y.-C.; Matzarakis, A. Urban thermal stress climatic mapping: Combination of long-term climate data and thermal stress risk evaluation. Sustainable Cities and Society, 2017, 34, 12-21.

Liu, L.; Zhang, Y. Urban Heat Island Analysis Using the Landsat TM Data and ASTER Data: A Case Study in Hong Kong. Remote Sensing, 2011, 3, (7), 1535.

Mahboob, M. A.; Atif, I.; Iqbal, J. Remote Sensing and GIS Applications for Assessment of Urban Sprawl in Karachi, Pakistan. Science, Technology and Development, 2015, 34, (3).

Mehmood, R.; Butt, M. A.; Mahmood, S. A.; Ali, F. Appraisal of Urban Heat Island and Its Impacts on Environment Using Landsat TM in Peshawar, Pakistan. Advances in Remote Sensing, 2017, Vol.06No.03, 10.

Mehmood, R.; Mehmood, S. A.; Butt, M. A.; Younas, I.; Adrees, M. Spatiotemporal Analysis of Urban Sprawl and Its Contributions to Climate and Environment of Peshawar Using Remote Sensing and GIS Techniques. Journal of Geographic Information System, 2016, 8, (2).

Nicol, J. F.; Raja, I. A.; Allaudin, A.; Jamy, G. N. Climatic variations in comfortable temperatures: the Pakistan projects. Energy and Buildings, 1999, 30, (3), 261-279.

Oleson, K. W.; Monaghan, A.; Wilhelmi, O.; Barlage, M.; Brunsell, N.; Feddema, J.; Hu, L.; Steinhoff, D. F. Interactions between urbanization, heat stress, and climate change. Climatic Change, 2015, 129, (3), 525-541.

Ranagalage, M.; Estoque, R.; Handayani, H.; Zhang, X.; Morimoto, T.; Tadono, T.; Murayama, Y. Relation between Urban Volume and Land Surface Temperature: A Comparative Study of Planned and Traditional Cities in Japan. Sustainability, 2018, 10, (7), 2366.

Ranagalage, M.; Estoque, R.; Zhang, X.; Murayama, Y. Spatial Changes of Urban Heat Island Formation in the Colombo District, Sri Lanka: Implications for Sustainability Planning. Sustainability, 2018, 10, (5), 1367.

Ranagalage, M.; Estoque, R. C.; Murayama, Y. An Urban Heat Island Study of the Colombo Metropolitan Area, Sri Lanka, Based on Landsat Data (1997–2017). ISPRS International Journal of Geo-Information, 2017, 6, (7), 189.

Saleemi, M. U. In The urban change detection of Lahore (Pakistan) using Thematic Mapper Images of Landsat since 1992- 2010, Fourth International Conference on Aerospace Science & Engineering, Pakistan, 2015; Pakistan, 2015.

Salma, S.; Rehman, S.; Shah, M. A. Rainfall Trends in Different Climate Zones of Pakistan. Pakistan Journal of Meteorology, 2012, 9, (17), 37-47.

Sattar, H.; Sarwar, S.; Shrestha, S. In Hydrologic Impact of Climate Change on Planned Hydro Dams in Swat River Basin, Singapore, 2020; Springer Singapore: Singapore, 2020; pp 664-670.

Shiflett, S. A.; Liang, L. L.; Crum, S. M.; Feyisa, G. L.; Wang, J.; Jenerette, G. D. Variation in the urban vegetation, surface temperature, air temperature nexus. Science of The Total Environment, 2017, 579, 495-505.

Son, N.-T.; Chen, C.-F.; Chen, C.-R.; Thanh, B.-X.; Vuong, T.-H. Assessment of urbanization and urban heat islands in Ho Chi Minh City, Vietnam using Landsat data. Sustainable Cities and Society, 2017, 30, 150-161.

Tran, D. X.; Pla, F.; Latorre-Carmona, P.; Myint, S. W.; Caetano, M.; Kieu, H. V. Characterizing the relationship between land use land cover change and land surface temperature. ISPRS Journal of Photogrammetry and Remote Sensing, 2017, 124, 119-132.

Tursilowati, L. In Use of Remote Sensing and GIS to compute Temperature Humdity Index as human comfort indicator with landuse -Landcover change (LULC) in Surabaya, The 73rd International Symposium on Sustainable Humanosphere 2007, 2018; 2018; pp 160-166.

USGS USGS. Landsat. US Geological Survey: US. Available online: http://earthexplorer.usgs.gov/.

Wareing, M.; Shei, K.; Cavas, J.; Theiss, M.; Winkle, Z. V.; Zuckerman, T. Pakistan:Urbanization, Sustainability, & Poverty; 2010.

Zhang, X.; Estoque, R. C.; Murayama, Y. An urban heat island study in Nanchang City, China based on land surface temperature and social-ecological variables. Sustainable Cities and Society, 2017, 32, 557-568.