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

Novera Azka, Dr. Muhammad Hamid Chaudhary, Qudsia Gulzar, Dr. Sajid Mahmood, Tibra Ishaq ()
Additional contact information
Novera Azka, Dr. Muhammad Hamid Chaudhary, Qudsia Gulzar, Dr. Sajid Mahmood, Tibra Ishaq: Center for Geographic Information System, University of the Punjab, Lahore, 54000, Pakistan. Assistant Professor, Center for Geographic Information System, University of the Punjab, Lahore, 54000, Pakistan. Assistant Professor, Center for Geographic Information System, University of the Punjab, Lahore, 54000, Pakistan. Associate Professor, Department of Civil Engineering, NUST Campus, Risalpur. Center for Excellence in Solid State Physics, University of the Punjab, Lahore, 54000, Pakistan.

International Journal of Innovations in Science & Technology, 2024, vol. 6, issue 6, 8-23

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.

Keywords: Land use land cover (LULC); Normalized Difference vegetation Index (NDVI); Land Surface Temperature (LST); Pearson's Correlation Coefficient; GIS and Remote sensing (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journal.50sea.com/index.php/IJIST/article/view/836/1415 (application/pdf)
https://journal.50sea.com/index.php/IJIST/article/view/836 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:abq:ijist1:v:6:y:2024:i:6:p:8-23

Access Statistics for this article

International Journal of Innovations in Science & Technology is currently edited by Prof. Dr. Syed Amer Mahmood

More articles in International Journal of Innovations in Science & Technology from 50sea
Bibliographic data for series maintained by Iqra Nazeer ().