Impact of Urbanization on Land Use Land Cover and Urban Climate, using Spatio-temporal Techniques: A case study of Islamabad, Pakistan

Authors

  • Novera Azka Center for geographic information system, University of the Punjab, Lahore
  • Dr. Muhammad Hamid Chaudhary Center for geographic information system, University of the Punjab, Lahore
  • Qudsia Gulzar Center for geographic information system, University of the Punjab, Lahore
  • Dr. Sajid Mehmood Department of Civil Engineering, NUST Campus, Risalpur
  • Tibra Ishaq Center for Excellence in Solid State Physics, University of the Punjab, Lahore, 54000, Pakistan

Keywords:

Land use land cover (LULC), Normalized Difference vegetation Index (NDVI), Land Surface Temperature (LST), Pearson's Correlation Coefficient, GIS and Remote sensing

Abstract

An increase in urban population has been considered a major challenge over the past few years, especially in developing countries like Pakistan. It reduces vegetation area that directly affects land surface temperature (LST) and thus causes major changes in urban climate. This research mainly focuses on the surface temperature of Islamabad using LULC, LST, and Normalized Difference Vegetative Index (NDVI) as major parameters. This study spans over four years i.e., 2019, 2020, 2021, and 2022. The land use land cover maps are obtained from ESRI Sentinel 2 Land Use Land Cover Explorer. In contrast, LST maps are obtained from Level 2 Sentinel 2B Sea and Land Surface Temperature Radiometer (SLSTR) sensor LST product. NDVI is calculated using Sentinel 2B bands 4 and 8 respectively. The resulting LULC maps show that the vegetation area decreases by 7% and the built-up area increases by 8% from 2019 to 2022. Moreover, the area of dense vegetation decreased from 6.01% to 0.17% from 2019 to 2022 shown by NDVI maps. The study further reveals that the built-up areas exhibit higher LST than other classes. This is validated through Pearson’s Correlation Coefficient between LST and NDVI which shows a negative correlation of -0.41. This research concludes that the built-up area and rangeland are increasing during the studied years while the area of vegetation and bare ground is decreasing in Islamabad. This decrease directly influences LST and consequently the climate of the area. This should be mitigated by adopting such sustainable plans that involves building green alternatives into urban management.

References

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, 2016, doi: 10.1186/s40064-016-2414-z.

S. Tariq, S. Mehmood, A. Nisa, Z. Ul-Haq, and U. Mehmood, “Remote sensing of aerosol properties during intense smog events over Lahore (Pakistan),” Kuwait J. Sci., vol. 48, no. 4, 2021, doi: 10.48129/KJS.V48I4.10407.

M. Garschagen and P. Romero-Lankao, “Exploring the relationships between urbanization trends and climate change vulnerability,” Clim. Change, vol. 133, no. 1, pp. 37–52, 2015, doi: 10.1007/s10584-013-0812-6.

I. P. Senanayake, W. D. D. P. Welivitiya, and P. M. Nadeeka, “Remote sensing based analysis of urban heat islands with vegetation cover in Colombo city, Sri Lanka using Landsat-7 ETM+ data,” Urban Clim., vol. 5, pp. 19–35, 2013, doi: 10.1016/j.uclim.2013.07.004.

H. A. Ahmed, S. K. Singh, M. Kumar, M. S. Maina, R. Dzwairo, and D. Lal, “Impact of urbanization and land cover change on urban climate: Case study of Nigeria,” Urban Clim., vol. 32, no. August 2019, p. 100600, 2020, doi: 10.1016/j.uclim.2020.100600.

R. E. Anderson, J.R., Hardy, E.E., Roach, J.T., and Witmer, “A Land Use And Land Cover Classification System For Use With Remote Sensor Data,” 2001.

P. D. Department of Economic and Social Affairs UN, World Population Prospects 2022, no. 9. 2022. [Online]. Available: www.un.org/development/ desa/pd/.

S. Hussain and S. Karuppannan, “Land use/land cover changes and their impact on land surface temperature using remote sensing technique in district Khanewal, Punjab Pakistan,” Geol. Ecol. Landscapes, vol. 7, no. 1, pp. 46–58, 2021, doi: 10.1080/24749508.2021.1923272.

R. M. G. Rosado, E. M. A. Guzmán, C. J. E. Lopez, W. M. Molina, H. L. C. Garciá, and E. L. Yedra, "Mapping the LST (Land Surface Temperature) with Satellite Information and Software ArcGIS," IOP Conf. Ser. Mater. Sci. Eng., vol. 811, no. 1, pp. 0–6, 2020, doi: 10.1088/1757-899X/811/1/012045.

C. J. Tomlinson, L. Chapman, J. E. Thornes, and C. Baker, “Remote sensing land surface temperature for meteorology and climatology: A review,” Meteorol. Appl., vol. 18, no. 3, pp. 296–306, 2011, doi: 10.1002/met.287.

Y. Qian et al., “Urbanization Impact on Regional Climate and Extreme Weather: Current Understanding, Uncertainties, and Future Research Directions,” Adv. Atmos. Sci., vol. 39, no. 6, pp. 819–860, 2022, doi: 10.1007/s00376-021-1371-9.

S. Waseem and U. Khayyam, “Loss of vegetative cover and increased land surface temperature: A case study of Islamabad, Pakistan,” J. Clean. Prod., vol. 234, pp. 972–983, 2019, doi: 10.1016/j.jclepro.2019.06.228.

S. A. H. Saleh, “Impact of Urban Expansion on Surface Temperature in Baghdad, Iraq Using Remote Sensing and Gis Techniques,” J. Al-Nahrain Univ. Sci., vol. 13, no. 1, pp. 48–59, 2010, doi: 10.22401/jnus.13.1.07.

A. A. Abou-Korin, “Impacts of Rapid Urbanisation in the Arab World: the Case of Dammam Metropolitan Area, Saudi Arabia,” 5th Int’l Conf. Work. Built Environ. Dev. Ctries. (ICBEDC 2011), no. July, pp. 1–25, 2011.

B. Ahmed, M. D. Kamruzzaman, X. Zhu, M. D. Shahinoor Rahman, and K. Choi, "Simulating land cover changes and their impacts on land surface temperature in Dhaka, Bangladesh," Remote Sens., vol. 5, no. 11, pp. 5969–5998, 2013, doi: 10.3390/rs5115969.

M. Fatemi and M. Narangifard, “Monitoring LULC changes and its impact on the LST and NDVI in District 1 of Shiraz City,” Arab. J. Geosci., vol. 12, no. 4, 2019, doi: 10.1007/s12517-019-4259-6.

W. Liu, B. Jia, T. Li, Q. Zhang, and J. Ma, “Correlation Analysis between Urban Green Space and Land Surface Temperature from the Perspective of Spatial Heterogeneity: A Case Study within the Sixth Ring Road of Beijing,” Sustain., vol. 14, no. 20, 2022, doi: 10.3390/su142013492.

M. Kugelman, “NOREF Expert Analysis Urbanisation in Pakistan : causes and consequences,” NOREF, no. January, 2013.

Pakistan Bureau of Statistics, “Announcement of Results of 7th Population and Housing Census-2023,” no. CCI, 2023, [Online]. Available: https://www.pbs.gov.pk/sites/default/files/population/2023/Press Release.pdf

S. H. Sajjad, S. A. Shirazi, M. Ahmed Khan, and A. Raza, “Urbanization effects on temperature trends of Lahore during 1950-2007,” Int. J. Clim. Chang. Strateg. Manag., vol. 1, no. 3, pp. 274–281, 2009, doi: 10.1108/17568690910977483.

K. Javid, M. A. N. Akram, M. Mumtaz, and R. Siddiqui, “Modeling and mapping of climatic classification of Pakistan by using remote sensing climate compound index (2000 to 2018),” Appl. Water Sci., vol. 9, no. 7, pp. 1–9, 2019, doi: 10.1007/s13201-019-1028-3.

A. Rehman et al., “Modelling of Land Use/Cover and LST Variations by Using GIS and Remote Sensing: A Case Study of the Northern Pakhtunkhwa Mountainous Region, Pakistan,” Sensors, vol. 22, no. 13, 2022, doi: 10.3390/s22134965.

W. E. Stoney, “Asprs Guide To Land Imaging Satellites,” Http://Www.Asprs.Org/News/Satellites/, 2008.

Punjab Information Technology Board, “Rawalpindi,” Punjab Portal, 2016. https://www.punjab.gov.pk/rawalpindi

“Geography of Islamabad,” Wikipedia. 2021. [Online]. Available: https://en.wikipedia.org/wiki/Geography_of_Islamabad

M. T. Sohail et al., “Impacts of urbanization, LULC, LST, and NDVI changes on the static water table with possible solutions and water policy discussions: A case from Islamabad, Pakistan,” Front. Environ. Sci., vol. 11, no. February, pp. 1–13, 2023, doi: 10.3389/fenvs.2023.1018500.

A. Amazirh, O. Merlin, and S. Er-Raki, “Including Sentinel-1 radar data to improve the disaggregation of MODIS land surface temperature data,” ISPRS J. Photogramm. Remote Sens., vol. 150, pp. 11–26, 2019, doi https://doi.org/10.1016/j.isprsjprs.2019.02.004.

D. Ghent, J. Remedios, and E. Dodd, “Sentinel 3 Land surface temperature,” Compr. Remote Sens., vol. 1–9, pp. 264–283, 2021, doi: 10.1016/B978-0-12-409548-9.10375-6.

Esri, “What is image classification?,” ArcGIS Desktop, 2021. https://desktop.arcgis.com/en/arcmap/latest/extensions/spatial-analyst/image-classification/what-is-image-classification-.htm

IEE, “Sentinel 2 10m Land Use/ Land cover Time series,” ESRI, 2021. https://www.arcgis.com/home/item.html?id=d3da5dd386d140cf93fc9ecbf8da5e31#

M. Ranagalage, R. C. Estoque, and Y. Murayama, “An urban heat island study of the Colombo Metropolitan Area, Sri Lanka, based on Landsat data (1997-2017),” ISPRS Int. J. Geo-Information, vol. 6, no. 7, 2017, doi: 10.3390/ijgi6070189.

S. Ullah, “Simulating Land Use Land Cover Changes and their Impacts on Land Surface Temperature in Northern Pakistan,” COMSATS University, Islamabad, 2021.

D. Khamchiangta and S. Dhakal, “Time series analysis of land use and land cover changes related to urban heat island intensity: Case of Bangkok Metropolitan Area in Thailand,” J. Urban Manag., vol. 9, no. 4, pp. 383–395, 2020, doi: 10.1016/j.jum.2020.09.001.

F. H. and S. X. L. Chen, M. Li, “Relationships of LST to NDBI and NDVI in Wuhan City based on Landsat ETM+ image,” 2013 6th Int. Congr. Image Signal Process. (CISP), Hangzhou, China, pp. 840–845, 2013, doi: 10.1109/CISP.2013.6745282.

Downloads

Published

2024-06-02

How to Cite

Azka, N., Dr. Muhammad Hamid Chaudhary, Gulzar, Q., Mehmood, D. S., & Ishaq, T. (2024). Impact of Urbanization on Land Use Land Cover and Urban Climate, using Spatio-temporal Techniques: A case study of Islamabad, Pakistan. International Journal of Innovations in Science & Technology, 6(6), 8–23. Retrieved from https://journal.50sea.com/index.php/IJIST/article/view/836