Dynamic of Land Use Land Cover and its Impact on Land Surface Temperature (LST) Using GIS: A Study of District Mardan, Pakistan

Zain Sultan; Muhammad Awais Khan; Zahid Khan; Muhammad Sudais; Nigar Khan; Aizaz Uullah; Muddasir Ali

Authors

Zain Sultan Department of Geography & Geomatics (GIS/RS), University of Peshawar, Pakistan
Muhammad Awais Khan Department of Geography & Geomatics (GIS/RS), University of Peshawar, Pakistan
Zahid Khan Department of Geography & Geomatics (GIS/RS), University of Peshawar, Pakistan
Muhammad Sudais Department of Geography & Geomatics (GIS/RS), University of Peshawar, Pakistan
Nigar Khan Department of Geography & Geomatics (GIS/RS), University of Peshawar, Pakistan
Aizaz Uullah Department of Geography & Geomatics (GIS/RS), University of Peshawar, Pakistan
Muddasir Ali Department of Geography & Geomatics (GIS/RS), University of Peshawar, Pakistan

Keywords:

LULC, GIS, Land Surface Temperature, Urban Expansion

Abstract

Rapid population growth is a global phenomenon that alters landscapes and affects environmental conditions. The aim of this study is to find out the effects of urbanization on Land Use Land Cover (LULC) change and its impact on Land Surface Temperature (LST) in District Mardan from 2002 to 2022. By combination remote sensing data on land use/ land cover changes with land surface temperature measurement, researchers can assess the relationship between these variables. This analysis can provide insight into the impacts of land use / land cover changes on local climate patterns, urban heat island effects, and the overall thermal environment. Data were pre –processed Arc GIS 10.8 software. After pre –processing, the supervised classification scheme was applied for the years of 2002 and 2022 which explain the maximum likelihood algorithm to identify LULC changes observed in the study area Built up area in 2002 occupied 165.47 km2 but in 2022, the Built-up area increased 266.70 km2 Vegetation are slowly and gradually decreased from 2002 to 2022 in District Mardan. It was observed that there has been a rapid change in vegetation area to Build up area. The outcome of this study indicated that a dramatic transformation took place in District Mardan regarding increases in population density, urban growth, and other infrastructure development. It can be influence by various factor, including land cover types. This result will be used in regional and urban planning and will be used for managing agriculture in the coming year.

References

G. X. Zhao, G. Lin, and T. Warner, “Using Thematic Mapper data for change detection and sustainable use of cultivated land: a case study in the Yellow River delta, China,” Int. J. Remote Sens., vol. 25, no. 13, pp. 2509–2522, Jul. 2004, doi: 10.1080/01431160310001619571.

V. N. Mishra, R. Prasad, P. Kumar, D. K. Gupta, S. Agarwal, and A. Gangwal, “Assessment of Spatio-Temporal Changes in Land Use/Land Cover Over a Decade (2000–2014) Using Earth Observation Datasets: A Case Study of Varanasi District, India,” Iran. J. Sci. Technol. - Trans. Civ. Eng., vol. 43, no. 1, pp. 383–401, Jul. 2019, doi: 10.1007/S40996-018-0172-6/METRICS.

M. M. H. Seyam, M. R. Haque, and M. M. Rahman, “Identifying the land use land cover (LULC) changes using remote sensing and GIS approach: A case study at Bhaluka in Mymensingh, Bangladesh,” Case Stud. Chem. Environ. Eng., vol. 7, p. 100293, Jun. 2023, doi: 10.1016/J.CSCEE.2022.100293.

T. K. Rudel, “Land Use and Land Use Change,” Handbooks Sociol. Soc. Res., pp. 425–438, 2021, doi: 10.1007/978-3-030-77712-8_20.

C. Liping, S. Yujun, and S. Saeed, “Monitoring and predicting land use and land cover changes using remote sensing and GIS techniques—A case study of a hilly area, Jiangle, China,” PLoS One, vol. 13, no. 7, p. e0200493, Jul. 2018, doi: 10.1371/JOURNAL.PONE.0200493.

H. Landsberg, “The Urban Climate, Volume 28 - 1st Edition,” Urban Clim., p. 275, 1981, Accessed: Jul. 18, 2024. [Online]. Available: https://www.elsevier.com/books/the-urban-climate/landsberg/978-0-12-435960-4

B. Ackerman, “Temporal March of the Chicago Heat Island,” J. Appl. Meteorol. Climatol., vol. 24, no. 6, pp. 547–554, Jun. 1985, doi: 10.1175/1520-0450(1985)024.

X. L. Chen, H. M. Zhao, P. X. Li, and Z. Y. Yin, “Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes,” Remote Sens. Environ., vol. 104, no. 2, pp. 133–146, Sep. 2006, doi: 10.1016/J.RSE.2005.11.016.

P. N. Haindongo, A. M. Kalumba, and I. R. Orimoloye, “Local people’s perceptions about Land Use Cover Change (LULCC) for sustainable human wellbeing in Namibia,” GeoJournal, vol. 87, no. 3, pp. 1727–1741, Jun. 2022, doi: 10.1007/S10708-020-10337-7/METRICS.

T. Bibi, F. Nawaz, A. Abdul Rahman, and A. Latif, “FLOOD HAZARD ASSESSMENT USING PARTICIPATORY APPROACH AND WEIGHTED OVERLAY METHODS,” Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., vol. XLII-4-W16, no. 4/W16, pp. 153–160, Oct. 2019, doi: 10.5194/ISPRS-ARCHIVES-XLII-4-W16-153-2019.

D. R. Streutker, “A remote sensing study of the urban heat island of Houston, Texas,” Int. J. Remote Sens., vol. 23, no. 13, pp. 2595–2608, Jul. 2002, doi: 10.1080/01431160110115023.

Z. Hassan et al., “Dynamics of land use and land cover change (LULCC) using geospatial techniques: a case study of Islamabad Pakistan,” Springerplus, vol. 5, no. 1, pp. 1–11, Dec. 2016, doi: 10.1186/S40064-016-2414-Z/FIGURES/6.

C. C. Burt, “The World’s Hottest Recorded Air Temperatures,” Weather. POWER, BEAUTY, Excit., vol. 64, no. 2, pp. 26–33, Jan. 2011, doi: 10.1080/00431672.2011.551594.

E. López, G. Bocco, M. Mendoza, and E. Duhau, “Predicting land-cover and land-use change in the urban fringe: A case in Morelia city, Mexico,” Landsc. Urban Plan., vol. 55, no. 4, pp. 271–285, Aug. 2001, doi: 10.1016/S0169-2046(01)00160-8.

F. Fan, Y. Wang, and Z. Wang, “Temporal and spatial change detecting (1998-2003) and predicting of land use and land cover in Core corridor of Pearl River Delta (China) by using TM and ETM+ images,” Environ. Monit. Assess., vol. 137, no. 1–3, pp. 127–147, Jun. 2008, doi: 10.1007/S10661-007-9734-Y/METRICS.

A. Tariq and H. Shu, “CA-Markov Chain Analysis of Seasonal Land Surface Temperature and Land Use Land Cover Change Using Optical Multi-Temporal Satellite Data of Faisalabad, Pakistan,” Remote Sens. 2020, Vol. 12, Page 3402, vol. 12, no. 20, p. 3402, Oct. 2020, doi: 10.3390/RS12203402.

A. Tariq, J. Yan, and F. Mumtaz, “Land change modeler and CA-Markov chain analysis for land use land cover change using satellite data of Peshawar, Pakistan,” Phys. Chem. Earth, Parts A/B/C, vol. 128, p. 103286, Dec. 2022, doi: 10.1016/J.PCE.2022.103286.