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Modeling Spatio-Temporal Land Transformation and Its Associated Impacts on land Surface Temperature (LST)

Authors :
Faisal Mumtaz
Yu Tao
Gerrit de Leeuw
Limin Zhao
Cheng Fan
Abdelrazek Elnashar
Barjeece Bashir
Gengke Wang
LingLing Li
Shahid Naeem
Arfan Arshad
Dakang Wang
Source :
Remote Sensing, Vol 12, Iss 18, p 2987 (2020)
Publication Year :
2020
Publisher :
MDPI AG, 2020.

Abstract

Land use land cover (LULC) of city regions is strongly affected by urbanization and affects the thermal environment of urban centers by influencing the surface temperature of core city areas and their surroundings. These issues are addressed in the current study, which focuses on two provincial capitals in Pakistan, i.e., Lahore and Peshawar. Using Landsat data, LULC is determined with the aim to (a) examine the spatio-temporal changes in LULC over a period of 20 years from 1998 to 2018 using a CA-Markov model, (b) predict the future scenarios of LULC changes for the years 2023 and 2028, and (c) study the evolution of different LULC categories and investigate its impacts on land surface temperature (LST). The results for Peshawar city indicate the significant expansion in vegetation and built-up area replacing barren land. The vegetation cover and urban area of Peshawar have increased by 25.6%, and 16.3% respectively. In contrast, Lahore city urban land has expanded by 11.2% while vegetation cover decreased by (22.6%). These transitions between LULC classes also affect the LST in the study areas. Transformation of vegetation cover and water surface into built-up areas or barren land results in the increase in the LST. In contrast, the transformation of urban areas and barren land into vegetation cover or water results in the decrease in LST. The different LULC evolutions in Lahore and Peshawar clearly indicate their effects on the thermal environment, with an increasing LST trend in Lahore and a decrease in Peshawar. This study provides a baseline reference to urban planners and policymakers for informed decisions.

Details

Language :
English
ISSN :
20724292
Volume :
12
Issue :
18
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.b0195f322d374bfdb6f6b6e3ecdcb1e6
Document Type :
article
Full Text :
https://doi.org/10.3390/rs12182987