IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v4y2015i4p1213-1231d60813.html
   My bibliography  Save this article

Built-up Area Change Analysis in Hanoi Using Support Vector Machine Classification of Landsat Multi-Temporal Image Stacks and Population Data

Author

Listed:
  • Duong H. Nong

    (East-West Center, 1601 East-West Road, Honolulu, HI 96848, USA)

  • Jefferson Fox

    (East-West Center, 1601 East-West Road, Honolulu, HI 96848, USA)

  • Tomoaki Miura

    (Department of Natural Resources and Environmental Management, University of Hawaii, 1901 East-West Road, Honolulu, HI 96822, USA)

  • Sumeet Saksena

    (East-West Center, 1601 East-West Road, Honolulu, HI 96848, USA)

Abstract

In 1986, the Government of Vietnam implemented free market reforms known as Doi Moi (renovation) that provided private ownership of farms and companies, and encouraged deregulation and foreign investment. Since then, the economy of Vietnam has achieved rapid growth in agricultural and industrial production, construction and housing, and exports and foreign investments, each of which have resulted in momentous landscape transformations. One of the most evident changes is urbanization and an accompanying loss of agricultural lands and open spaces. These rapid changes pose enormous challenges for local populations as well as planning authorities. Accurate and timely data on changes in built-up urban environments are essential for supporting sound urban development. In this study, we applied the Support Vector Machine classification (SVM) to multi-temporal stacks of Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) images from 1993 to 2010 to quantify changes in built-up areas. The SVM classification algorithm produced a highly accurate map of land cover change with an overall accuracy of 95%. The study showed that most urban expansion occurred in the periods 2001–2006 and 2006–2010. The analysis was strengthened by the incorporation of population and other socio-economic data. This study provides state authorities a means to examine correlations between urban growth, spatial expansion, and other socio-economic factors in order to not only assess patterns of urban growth but also become aware of potential environmental, social, and economic problems.

Suggested Citation

  • Duong H. Nong & Jefferson Fox & Tomoaki Miura & Sumeet Saksena, 2015. "Built-up Area Change Analysis in Hanoi Using Support Vector Machine Classification of Landsat Multi-Temporal Image Stacks and Population Data," Land, MDPI, vol. 4(4), pages 1-19, December.
  • Handle: RePEc:gam:jlands:v:4:y:2015:i:4:p:1213-1231:d:60813
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/4/4/1213/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/4/4/1213/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anne Welle-Strand & Monica Vlaicu & Arild Tjeldvoll, 2013. "Vietnam – A New Economic Dragon in Southeast Asia?," Journal of Developing Societies, , vol. 29(2), pages 155-187, June.
    2. Miguel Castrence & Duong H. Nong & Chinh C. Tran & Luisa Young & Jefferson Fox, 2014. "Mapping Urban Transitions Using Multi-Temporal Landsat and DMSP-OLS Night-Time Lights Imagery of the Red River Delta in Vietnam," Land, MDPI, vol. 3(1), pages 1-19, February.
    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. Nguyen, Quang & Kim, Doo-Chul, 2020. "Reconsidering rural land use and livelihood transition under the pressure of urbanization in Vietnam: A case study of Hanoi," Land Use Policy, Elsevier, vol. 99(C).
    2. Duong H Nong & Christopher A Lepczyk & Tomoaki Miura & Jefferson M Fox, 2018. "Quantifying urban growth patterns in Hanoi using landscape expansion modes and time series spatial metrics," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-18, May.

    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. Nhung Thi Kim NGUYEN & Minh Binh LE, 2018. "Co2 Emissions and Economic Growth in Vietnam: An ARDL Bound Testing Approach," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 6(1), pages 47-55, March.
    2. Shahtahmassebi, Amir Reza & Wu, Chun & Blackburn, George Alan & Zheng, Qing & Huang, Lingyan & Shortridge, Ashton & Shahtahmassebi, Golnaz & Jiang, Ruowei & He, Shan & Wang, Ke & Lin, Yue & Clarke, Ke, 2018. "How do modern transportation projects impact on development of impervious surfaces via new urban area and urban intensification? Evidence from Hangzhou Bay Bridge, China," Land Use Policy, Elsevier, vol. 77(C), pages 479-497.
    3. Bhagawat Rimal & Lifu Zhang & Dongjie Fu & Ripu Kunwar & Yongguang Zhai, 2017. "Monitoring Urban Growth and the Nepal Earthquake 2015 for Sustainability of Kathmandu Valley, Nepal," Land, MDPI, vol. 6(2), pages 1-23, June.
    4. Minh, Thai Thi, 2019. "Unpacking the systemic problems and blocking mechanisms of a regional agricultural innovation system: An integrated regional-functional-structural analysis," Agricultural Systems, Elsevier, vol. 173(C), pages 268-280.

    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:gam:jlands:v:4:y:2015:i:4:p:1213-1231:d:60813. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.