IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v26y2024i12d10.1007_s10668-023-03998-0.html
   My bibliography  Save this article

Predicting the future landscape of Dhanbad District: an analysis of land-use change and urban sprawl through cloud computing and neural networks

Author

Listed:
  • Vivek Singh

    (Indian Institute of Technology (Indian School of Mines))

  • Purnendu Sardar

    (Indian Institute of Technology (Indian School of Mines))

  • Sukha Ranjan Samadder

    (Indian Institute of Technology (Indian School of Mines))

  • Dheeraj Kumar

    (Indian Institute of Technology (Indian School of Mines))

  • Vasant Govind K. Villuri

    (Indian Institute of Technology (Indian School of Mines))

Abstract

The present study attempted to analyse the land-use change and its dynamics in a coal mining region of India. The land-use change from the year 2000 to 2010 was analysed in the Google Earth Engine using Landsat data archive to develop a Neural Network based Markov chain model. The developed model was applied to predict the land-use change for the year 2020 and was validated with the actual land-use data of the year 2020. The validated model was used to predict six different land-use classes for the year 2030 in the present study area. The findings of the study indicated that surface mining areas are gradually decreasing due to the transition from open cast mining to underground mining and restoration of the degraded mining areas. Furthermore, it was observed that the agricultural area in the study area declined by 10.27% between 2000 and 2010 and by 6.24% between 2010 and 2020. Vegetation cover increased significantly by 54.25% during 2000 to 2010 but, after that it remained relatively constant till 2020. The predicted land-use showed that the built-up area will continue to expand away from the existing urban centres and mining areas. Additionally, the study identified that no new urban growth centres are expected to emerge by 2030, but higher growth rate is expected in and around the two new urban centres that emerged in the year 2020. The study revealed valuable insights into the underlying drivers of land-use change that will help the policy makers to device suitable urban planning.

Suggested Citation

  • Vivek Singh & Purnendu Sardar & Sukha Ranjan Samadder & Dheeraj Kumar & Vasant Govind K. Villuri, 2024. "Predicting the future landscape of Dhanbad District: an analysis of land-use change and urban sprawl through cloud computing and neural networks," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(12), pages 30749-30770, December.
    • Handle: RePEc:spr:endesu:v:26:y:2024:i:12:d:10.1007_s10668-023-03998-0
    DOI: 10.1007/s10668-023-03998-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-023-03998-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10668-023-03998-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yakubu Aliyu Bununu, 2017. "Integration of Markov chain analysis and similarity-weighted instance-based machine learning algorithm (SimWeight) to simulate urban expansion," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 21(2), pages 217-237, May.
    2. Festus Victor Bekun, 2022. "Mitigating Emissions in India: Accounting for the Role of Real Income, Renewable Energy Consumption and Investment in Energy," International Journal of Energy Economics and Policy, Econjournals, vol. 12(1), pages 188-192.
    3. repec:plo:pone00:0107042 is not listed on IDEAS
    4. Moran, C.J. & Franks, D.M. & Sonter, L.J., 2013. "Using the multiple capitals framework to connect indicators of regional cumulative impacts of mining and pastoralism in the Murray Darling Basin, Australia," Resources Policy, Elsevier, vol. 38(4), pages 733-744.
    5. Ron Johnston & Kelvyn Jones & David Manley, 2018. "Confounding and collinearity in regression analysis: a cautionary tale and an alternative procedure, illustrated by studies of British voting behaviour," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(4), pages 1957-1976, July.
    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. Hren, Darko & Pina, David G. & Norman, Christopher R. & Marušić, Ana, 2022. "What makes or breaks competitive research proposals? A mixed-methods analysis of research grant evaluation reports," Journal of Informetrics, Elsevier, vol. 16(2).
    2. Jian Wang & Yuzhen Zhang & Angelina Kissiwaa Twum & Andrew Osei Agyemang, 2024. "Realizing sustainable development goals in sub‐Saharan Africa: The role of industrialization on consumption‐based carbon emission," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(3), pages 2666-2677, June.
    3. Razzaq, Asif & Sharif, Arshian & Ozturk, Ilhan & Skare, Marinko, 2022. "Inclusive infrastructure development, green innovation, and sustainable resource management: Evidence from China’s trade-adjusted material footprints," Resources Policy, Elsevier, vol. 79(C).
    4. Franks, Daniel M. & Brereton, David & Moran, Chris J., 2013. "The cumulative dimensions of impact in resource regions," Resources Policy, Elsevier, vol. 38(4), pages 640-647.
    5. Yang, Xiaoming & Islam, Md. Monirul & Mentel, Grzegorz & Ahmad, Ashfaq & Vasa, László, 2024. "Synergistic dynamics unveiled: Interplay between rare earth prices, clean energy innovations, and tech companies' market resilience amidst the Covid-19 pandemic and Russia-Ukraine conflict," Resources Policy, Elsevier, vol. 89(C).
    6. Tim Heubeck & Annina Ahrens, 2025. "Governing the Responsible Investment of Slack Resources in Environmental, Social, and Governance (ESG) Performance: How Beneficial are CSR Committees?," Journal of Business Ethics, Springer, vol. 198(2), pages 365-385, May.
    7. Han-Sol Lee & Sergey U. Chernikov & Szabolcs Nagy & Ekaterina A. Degtereva, 2022. "The Impact of National Culture on Innovation: A Comparative Analysis between Developed and Developing Nations during the Pre- and Post-Crisis Period 2007–2021," Social Sciences, MDPI, vol. 11(11), pages 1-14, November.
    8. Tuyen Quang Tran & Huong Van Vu, 2021. "The impact of land fragmentation on food security in the North Central Coast, Vietnam," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 8(2), pages 327-345, May.
    9. Mostafayi Darmian, Sobhan & Tavana, Madjid & Ribeiro-Navarrete, Samuel, 2024. "An investment evaluation and incentive allocation model for public-private partnerships in renewable energy development projects," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).
    10. Joachim P. Hasebrook & Leonie Michalak & Anna Wessels & Sabine Koenig & Stefan Spierling & Stefan Kirmsse, 2022. "Green Behavior: Factors Influencing Behavioral Intention and Actual Environmental Behavior of Employees in the Financial Service Sector," Sustainability, MDPI, vol. 14(17), pages 1-35, August.
    11. Ziyu Guo & Muhammad Hafeez & Wenxin Wang & Md Abdul Kaium & Ahmer Bilal & Israt Zahan, 2023. "Is the economic uncertainty– human health relationship nonlinear? An empirical analysis for the China," PLOS ONE, Public Library of Science, vol. 18(12), pages 1-17, December.
    12. Flávia dos Santos Barbosa Brito & Emanuela Santos da Costa & Ariane Cristina Thoaldo Romeiro & Debora Martins dos Santos & Alexandre dos Santos Brito & Alessandra Silva Dias de Oliveira & Amanda Rodri, 2024. "Exploring Maternal Socio-Demographic Factors Shaping Children’s Dietary Patterns in Brazil: Results from the 2019 National Health Survey," IJERPH, MDPI, vol. 21(8), pages 1-12, July.
    13. Adam R. Pearson & Guadalupe A. Bacio & Sarah Naiman & Rainer Romero-Canyas & Jonathon P. Schuldt, 2021. "Cultural determinants of climate change opinion: familism predicts climate beliefs and policy support among US Latinos," Climatic Change, Springer, vol. 167(1), pages 1-8, July.
    14. Aubakirova Damira & Jaxybekova Galiya Narimanovna & Yespergenova Lyazzat & Bezhan Rustamov & Alimshan Faizulayev & Festus Victor Bekun, 2022. "Competition Determinants of Eurasian Economic Union Oil and Gas Companies," International Journal of Energy Economics and Policy, Econjournals, vol. 12(2), pages 336-341, March.
    15. Udemba, Edmund Ntom & Tosun, Merve, 2022. "Moderating effect of institutional policies on energy and technology towards a better environment quality: A two dimensional approach to China's sustainable development," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    16. Stephen Morse & Nora McNamara & Nancy Nathan & Shuaibu Adamu & Oluwayemisi Idowu Micah & Muhammed Kabir & Augustine Sunday Onwuaroh & Nathaniel Otene, 2023. "The Leveraging of Support by Faith-Based Social Groups in Rural Villages of the Federal Capital Territory, Nigeria," Sustainability, MDPI, vol. 15(19), pages 1-19, September.
    17. Dan Pan & Yi Yu & Wei Hong & Shengdong Chen, 2024. "Does campaign-style environmental regulation induce green economic growth? Evidence from China's central environmental protection inspection policy," Energy & Environment, , vol. 35(5), pages 2382-2406, August.
    18. Dorceta E. Taylor & Ashley Bell & Destiny Treloar & Ashia Ajani & Marco Alvarez & Tevin Hamilton & Jayson Velazquez & Pwintphyu Nandar & Lily Fillwalk & Kerry J. Ard, 2024. "Defying the Food Desert, Food Swamp, and Supermarket Redlining Stereotypes in Detroit: Comparing the Distribution of Food Outlets in 2013 and 2023," Sustainability, MDPI, vol. 16(16), pages 1-59, August.
    19. Mehmet Balcilar & Ojonugwa Usman & George N. Ike, 2023. "Investing green for sustainable development without ditching economic growth," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(2), pages 728-743, April.
    20. González-Álvarez, María A. & Montañés, Antonio, 2023. "CO2 emissions, energy consumption, and economic growth: Determining the stability of the 3E relationship," Economic Modelling, Elsevier, vol. 121(C).

    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:spr:endesu:v:26:y:2024:i:12:d:10.1007_s10668-023-03998-0. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.