IDEAS home Printed from https://ideas.repec.org/a/abq/ijasd1/v4y2022i4p164-177.html

Conversion of Fertile Agricultural Land into Built-Up by Estimation of Pixel Based Land Surface Temperature (LST)

Author

Listed:
  • Muhammad Ahmed

    (Department of Economics GCU Lahore)

Abstract

The focus of this study is on how changes in Lahore's land use and land cover have affected the city's average land surface temperature (LST). The area under investigation is a rapidly expanding city in Pakistan, where construction on new buildings and surrounding areas has increased considerably during the past three decades. LANDSAT-5 (TM) and LANDSAT-8 (OLI) satellite images are used to determine land surface temperature and the spatial extent of various land surface features in order to analyzethe impact of densely forested areas and expanding urban areas on land surface temperature (LST). In order to determine how much space is taken up by different types of terrain, they are imported into ERDAS imagine-14 and put through a supervised categorization procedure. The land surface temperature (LST) is employed as a dependent variable in this study, with the agricultural area (crop area plus vegetation area) and the built-up area serving as independent factors. Whether or not Lahore's urban growth is displacing farmland over time can be determined with the help of the Persistence Matrix, a geographic information system (GIS) analysis. The two variables under consideration here were both held constant, albeit at atypical amounts. The ARDL model is used to examine the relationship between the dependent variable LST and the independent variables agricultural area and built-uparea, and the ECM is used to evaluate the long run and short run cointegration of these three variables. As shown by the persistence matrix,urbanizationincreased by 325.14 km2while agricultural land decreased by 300.2 km2over the study period (sum of crop area and vegetative area). Data like this demonstrates that over the study's time frame, urbanizationaccelerated alongside the abandonment of farmland. The results of the ARDL model indicate that rapid urbanizationin Lahore is positively correlated with LST, while the opposite is true of the association between cultivated area and LST (LST). ECM results also support the presence of long run and short run co integration between the dependent variable and the group of independent variables. Time series data from 1990 to 2021 are used to draw these results.

Suggested Citation

  • Muhammad Ahmed, 2022. "Conversion of Fertile Agricultural Land into Built-Up by Estimation of Pixel Based Land Surface Temperature (LST)," International Journal of Agriculture & Sustainable Development, 50sea, vol. 4(4), pages 164-177, November.
    • Handle: RePEc:abq:ijasd1:v:4:y:2022:i:4:p:164-177
    as

    Download full text from publisher

    File URL: https://journal.xdgen.com/index.php/ijasd/article/view/186/200
    Download Restriction: no
    File URL: https://journal.xdgen.com/index.php/ijasd/article/view/186
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rafiq, Shuddhasattwa & Salim, Ruhul & Nielsen, Ingrid, 2016. "Urbanization, openness, emissions, and energy intensity: A study of increasingly urbanized emerging economies," Energy Economics, Elsevier, vol. 56(C), pages 20-28.
    2. Reilly, John M., 2012. "Green growth and the efficient use of natural resources," Energy Economics, Elsevier, vol. 34(S1), pages 85-93.
    3. Larissa Larsen & Kumelachew Yeshitela & Tilahun Mulatu & Sisay Seifu & Hayal Desta, 2019. "The Impact of Rapid Urbanization and Public Housing Development on Urban Form and Density in Addis Ababa, Ethiopia," Land, MDPI, vol. 8(4), pages 1-13, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Huang, Junbing & Hao, Yu & Lei, Hongyan, 2018. "Indigenous versus foreign innovation and energy intensity in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1721-1729.
    2. Ren, Siyu & Hao, Yu & Xu, Lu & Wu, Haitao & Ba, Ning, 2021. "Digitalization and energy: How does internet development affect China's energy consumption?," Energy Economics, Elsevier, vol. 98(C).
    3. Guoteng Xu & Jingwei Zhu & Chengjiang Li & Jingtong Shan, 2023. "Study on the Synergistic Evolutionary Effects of China’s Digital Economy Core Industry and Energy Industry Based on DEA Malmquist Synergistic Development Model and Grey Correlation Analysis," Sustainability, MDPI, vol. 15(13), pages 1-26, June.
    4. Tafadzwa Ruzive & Thando Mkhombo & Simbarashe Mhaka & Nomahlubi Mavikela & Andrew Phiri, 2019. "Electricity Intensity and Unemployment in South Africa: A Quantile Regression Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 9(1), pages 31-40.
    5. Muhammad, Sulaman & Long, Xingle & Salman, Muhammad & Dauda, Lamini, 2020. "Effect of urbanization and international trade on CO2 emissions across 65 belt and road initiative countries," Energy, Elsevier, vol. 196(C).
    6. Muhlis Can & Daniel Balsalobre-Lorente & Festus Fatai Adedoyin & Mehmet Mercan, 2025. "The impact of trade openness, export concentration and economic complexity on energy demand among G7 countries," Energy & Environment, , vol. 36(2), pages 638-659, March.
    7. Umme Habiba & Cao Xinbang, 2022. "An Investigation of the Dynamic Relationships Between Financial Development, Renewable Energy Use, and CO2 Emissions," SAGE Open, , vol. 12(4), pages 21582440221, November.
    8. Zeng, Shouzhen & Streimikiene, Dalia & Baležentis, Tomas, 2017. "Review of and comparative assessment of energy security in Baltic States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 185-192.
    9. Stéphane Mbiankeu Nguea & Hervé Kaffo Fotio, 2025. "The heterogeneous effects of renewable energy, urbanization and democracy on CO2 emissions: Does economic growth matter?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(4), pages 8835-8861, April.
    10. Xueyang Wang & Xiumei Sun & Mahmood Ahmad & Jiawei Chen, 2024. "RETRACTED ARTICLE: Towards high-quality energy development: role of trade liberalization," Economic Change and Restructuring, Springer, vol. 57(1), pages 1-36, February.
    11. Hanif, Imran, 2017. "Economics-energy-environment nexus in Latin America and the Caribbean," Energy, Elsevier, vol. 141(C), pages 170-178.
    12. Dongxue Li & Ying Shi & Yingshan Sun & Yingzhe Xing & Rui Zhang & Jingxin Xue, 2024. "Simulation and Forecasting Study on the Influential Factors of PM 2.5 Related to Energy Consumption in the Beijing–Tianjin–Hebei Region," Sustainability, MDPI, vol. 16(8), pages 1-18, April.
    13. Zhao, Xing & Guo, Yifan & Feng, Tianchu, 2023. "Towards green recovery: Natural resources utilization efficiency under the impact of environmental information disclosure," Resources Policy, Elsevier, vol. 83(C).
    14. Almas Heshmati, 2018. "An empirical survey of the ramifications of a green economy," International Journal of Green Economics, Inderscience Enterprises Ltd, vol. 12(1), pages 53-85.
    15. Yanhong Liu & Xinjian Huang & Weiliang Chen, 2019. "Threshold Effect of High-Tech Industrial Scale on Green Development—Evidence from Yangtze River Economic Belt," Sustainability, MDPI, vol. 11(5), pages 1-21, March.
    16. Chen, Suisui & Zhang, Hongyan & Wang, Shuhong, 2022. "Trade openness, economic growth, and energy intensity in China," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    17. Grekou, Carl & Owoundi, Ferdinand, 2020. "Understanding how foreign direct investment inflows impact urbanization in Africa," International Economics, Elsevier, vol. 164(C), pages 48-68.
    18. Yu, Yantuan & Zhang, Ning & Kim, Jong Dae, 2020. "Impact of urbanization on energy demand: An empirical study of the Yangtze River Economic Belt in China," Energy Policy, Elsevier, vol. 139(C).
    19. Insha Kunwal & Muhammad Ramzan Sheikh & Muhammad Zahir Faridi & Muhammad Imran Mushtaq, 2023. "Urbanization, Energy Consumption and Environmental Quality in Asian Countries," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 12(4), pages 372-386.
    20. Li, Na & Zhang, Xiaoling & Shi, Minjun & Zhou, Shenglv, 2017. "The prospects of China’s long-term economic development and CO2 emissions under fossil fuel supply constraints," Resources, Conservation & Recycling, Elsevier, vol. 121(C), pages 11-22.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:abq:ijasd1:v:4:y:2022:i:4:p:164-177. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Iqra Nazeer (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.