IDEAS home Printed from https://ideas.repec.org/a/wiw/wiwreg/region_7_2_295.html
   My bibliography  Save this article

A reproducible notebook to acquire, process and analyse satellite imagery: Exploring long-term urban changes

Author

Listed:
  • Dominik Fahrner
  • Meixu Chen
  • Daniel Arribas-Bel
  • Francisco Rowe

Abstract

Satellite imagery is often used to study and monitor Earth surface changes. The open availability and extensive temporal coverage of Landsat imagery has enabled changes in temperature, wind, vegetation and ice melting speed for a period of up to 46 years. Yet, the use of satellite imagery to study cities has remained underutilised, partly due to the lack of a methodological approach to capture features and changes in the urban environment. This notebook offers a framework based on Python tools to demonstrate how to batch-download high-resolution satellite imagery; and enable the extraction, analysis and visualisation of features of the built environment to capture long-term urban changes.

Suggested Citation

  • Dominik Fahrner & Meixu Chen & Daniel Arribas-Bel & Francisco Rowe, 2020. "A reproducible notebook to acquire, process and analyse satellite imagery: Exploring long-term urban changes," REGION, European Regional Science Association, vol. 7, pages 15-46.
    • Handle: RePEc:wiw:wiwreg:region_7_2_295
    as

    Download full text from publisher

    File URL: https://openjournals.wu.ac.at/ojs/index.php/region/article/view/295/version/548
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marcy Burchfield & Henry G. Overman & Diego Puga & Matthew A. Turner, 2006. "Causes of Sprawl: A Portrait from Space," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(2), pages 587-633.
    2. Glaeser, Edward & Henderson, J. Vernon, 2017. "Urban economics for the developing World: An introduction," Journal of Urban Economics, Elsevier, vol. 98(C), pages 1-5.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Francisco Rowe & Gunther Maier & Daniel Arribas-Bel & Sergio Rey, 2020. "The Potential of Notebooks for Scientific Publication, Reproducibility and Dissemination," REGION, European Regional Science Association, vol. 7, pages 1-5.

    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. Remi Jedwab & Prakash Loungani & Anthony Yezer, 2019. "How Should We Measure City Size? Theory and Evidence Within and Across Rich and Poor Countries," Working Papers 2019-11, The George Washington University, Institute for International Economic Policy.
    2. Beyer, Robert C.M. & Franco-Bedoya, Sebastian & Galdo, Virgilio, 2021. "Examining the economic impact of COVID-19 in India through daily electricity consumption and nighttime light intensity," World Development, Elsevier, vol. 140(C).
    3. Carozzi, Felipe & Roth, Sefi, 2023. "Dirty density: Air quality and the density of American cities," Journal of Environmental Economics and Management, Elsevier, vol. 118(C).
    4. Moisés Obaco & Juan Pablo Díaz-Sánchez, 2018. "“Urbanization in Ecuador: An overview using the FUA definition”," IREA Working Papers 201814, University of Barcelona, Research Institute of Applied Economics, revised Oct 2018.
    5. Duranton, Gilles & Puga, Diego, 2014. "The Growth of Cities," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 5, pages 781-853, Elsevier.
    6. Gilles Duranton & Matthew A. Turner, 2012. "Urban Growth and Transportation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(4), pages 1407-1440.
    7. Blanca Arellano & Josep Roca, 2012. "Urban sprawl in megacities: Is it an unsustainable model?," ERES eres2012_161, European Real Estate Society (ERES).
    8. Chunil Kim & Choongik Choi, 2019. "Towards Sustainable Urban Spatial Structure: Does Decentralization Reduce Commuting Times?," Sustainability, MDPI, vol. 11(4), pages 1-28, February.
    9. Alina Zrobek-Rozańska & Anna Zrobek-Sokolnik & Wieslawa Lizinska, 2021. "Suburbanisation of the Rural Areas and the Implementation of Local Authorities' Own Responsibilities: Needs and Challenges," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 425-434.
    10. Qing Su, 2017. "Travel Demand Management Policy Instruments, Urban Spatial Characteristics, and Household Greenhouse Gas Emissions from Travel in the US Urban Areas," International Journal of Energy Economics and Policy, Econjournals, vol. 7(3), pages 157-166.
    11. Frederico Roman Ramos & Ciro Biderma, 2014. "Urban Sprawl And Spatial Segregation In São Paulo Metropolitan Region," Anais do XLI Encontro Nacional de Economia [Proceedings of the 41st Brazilian Economics Meeting] 172, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    12. Carozzi, Felipe & Provenzano, Sandro & Roth, Sefi, 2020. "Urban Density and COVID-19," IZA Discussion Papers 13440, Institute of Labor Economics (IZA).
    13. Brueckner, Jan K. & Largey, Ann G., 2008. "Social interaction and urban sprawl," Journal of Urban Economics, Elsevier, vol. 64(1), pages 18-34, July.
    14. Farid Farrokhi, 2019. "Skill, Agglomeration, and Inequality in the Spatial Economy," 2019 Meeting Papers 357, Society for Economic Dynamics.
    15. Ian Caine & Rebecca Walter & Nathan Foote, 2017. "San Antonio 360: The Rise and Decline of the Concentric City 1890–2010," Sustainability, MDPI, vol. 9(4), pages 1-16, April.
    16. Galdo, Virgilio & Li, Yue & Rama, Martin, 2021. "Identifying urban areas by combining human judgment and machine learning: An application to India," Journal of Urban Economics, Elsevier, vol. 125(C).
    17. Richard Bluhm & Christian Lessmann & Paul Schaudt, 2021. "The Political Geography of Cities," SoDa Laboratories Working Paper Series 2021-11, Monash University, SoDa Laboratories.
    18. Xin Zhang & Jinghu Pan, 2021. "Spatiotemporal Pattern and Driving Factors of Urban Sprawl in China," Land, MDPI, vol. 10(11), pages 1-16, November.
    19. Thomas J. Holmes, 2010. "Structural, Experimentalist, And Descriptive Approaches To Empirical Work In Regional Economics," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 5-22, February.
    20. Suzanne Vallance, 2014. "Living on the Edge: Lessons from the Peri-urban Village," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 38(6), pages 1954-1969, November.

    More about this item

    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:wiw:wiwreg:region_7_2_295. 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: Gunther Maier (email available below). General contact details of provider: http://www.ersa.org .

    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.