IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i22p9698-d1515939.html
   My bibliography  Save this article

Effects of Land Use Data Spatial Resolution on SDG Indicator 11.3.1 (Urban Expansion) Assessments: A Case Study Across Ethiopia

Author

Listed:
  • Orion S. E. Cardenas-Ritzert

    (Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO 80523-1499, USA)

  • Jody C. Vogeler

    (Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO 80523-1499, USA)

  • Shahriar Shah Heydari

    (Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO 80523-1499, USA)

  • Patrick A. Fekety

    (Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO 80523-1499, USA)

  • Melinda Laituri

    (Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO 80523-1476, USA)

  • Melissa R. McHale

    (Department of Forest Resources Management, University of British Columbia, Vancouver, BC V6T 1Z4, Canada)

Abstract

Geospatial data play a significant role in the United Nation’s Sustainable Development Goals, particularly through assessments of monitoring indicators. Sustainable Development Goal (SDG) Indicator 11.3.1 assessments utilize land and population geospatial data to monitor urban expansion, and were implemented to enhance inclusive and sustainable urbanization, and capacity for participatory, integrated and sustainable human settlement planning and management in all countries by 2030. Data-limited countries often rely on accessible, wide-coverage geospatial datasets for SDG Indicator 11.3.1 assessments which may have characteristics (e.g., coarse spatial resolution) influential to assessment outcomes. The presented work examines the effect of land use data spatial resolution on SDG Indicator 11.3.1 assessment components including urban area delineation, SDG Indicator 11.3.1 and supporting spatial metrics, spatial patterns of urban land development, and land use change patterns for urbanizing areas in Ethiopia from 2016 to 2020. A comparison was made between a single land use map at the spatial resolution in which it was originally produced, 30 m, and at a majority-resampled spatial resolution comparable to many global coverage datasets, 90 m. Analyses revealed changes in the urban areas identified, observed boundaries of urban areas, and all quantified metrics from 30 m resolution to 90 m resolution, with the decrease in resolution resulting in smaller urban areas being missed and differences in the delineated hinterland areas connected to an urban core. Statistical testing indicated significant differences in SDG Indicator 11.3.1 values, developed land use area per capita, and spatial patterns of urban development between the two spatial resolutions. The relative order of land use conversion types remained similar across both resolutions, with agricultural land experiencing the greatest conversion to developed land, followed by rangeland and forest, although the total area of each conversion type differed. This study illustrates the possible discrepancies in SDG Indicator 11.3.1 and related outputs when utilizing differing resolution datasets and the importance of data characteristic consideration when conducting SDG Indicator 11.3.1 assessments.

Suggested Citation

  • Orion S. E. Cardenas-Ritzert & Jody C. Vogeler & Shahriar Shah Heydari & Patrick A. Fekety & Melinda Laituri & Melissa R. McHale, 2024. "Effects of Land Use Data Spatial Resolution on SDG Indicator 11.3.1 (Urban Expansion) Assessments: A Case Study Across Ethiopia," Sustainability, MDPI, vol. 16(22), pages 1-21, November.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:22:p:9698-:d:1515939
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/22/9698/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/22/9698/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Naledzani Mudau & Dennis Mwaniki & Lesiba Tsoeleng & Morwapula Mashalane & Donatien Beguy & Robert Ndugwa, 2020. "Assessment of SDG Indicator 11.3.1 and Urban Growth Trends of Major and Small Cities in South Africa," Sustainability, MDPI, vol. 12(17), pages 1-18, August.
    2. Dijkstra, Lewis & Florczyk, Aneta J. & Freire, Sergio & Kemper, Thomas & Melchiorri, Michele & Pesaresi, Martino & Schiavina, Marcello, 2021. "Applying the Degree of Urbanisation to the globe: A new harmonised definition reveals a different picture of global urbanisation," Journal of Urban Economics, Elsevier, vol. 125(C).
    3. Qiang Ren & Chunyang He & Qingxu Huang & Peijun Shi & Da Zhang & Burak Güneralp, 2022. "Impacts of urban expansion on natural habitats in global drylands," Nature Sustainability, Nature, vol. 5(10), pages 869-878, October.
    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. Constantinos A. Balaras & Andreas I. Theodoropoulos & Elena G. Dascalaki, 2023. "Geographic Information Systems for Facilitating Audits of the Urban Built Environment," Energies, MDPI, vol. 16(11), pages 1-26, May.
    2. Li, Shuoshuo & Liu, Yaobin & Wei, Guoen & Bi, Mo & He, Bao-Jie, 2024. "Carbon surplus or carbon deficit under land use transformation in China?," Land Use Policy, Elsevier, vol. 143(C).
    3. Nausheen Masood & Alessio Russo, 2023. "Community Perception of Brownfield Regeneration through Urban Rewilding," Sustainability, MDPI, vol. 15(4), pages 1-15, February.
    4. Luca, Davide & Özgüzel, Cem & Wei, Zhiwu, 2024. "The spatially uneven diffusion of remote jobs in Europe," LSE Research Online Documents on Economics 122651, London School of Economics and Political Science, LSE Library.
    5. Combes,Pierre Philippe & Gorin,Clément & Nakamura,Shohei & Roberts,Mark & Stewart,Benjamin P., 2023. "An Anatomy of Urbanization in Sub-Saharan Africa," Policy Research Working Paper Series 10621, The World Bank.
    6. Lin Li & Kaixu Zhao & Xinyu Wang & Sidong Zhao & Xingguang Liu & Weiwei Li, 2022. "Spatio-Temporal Evolution and Driving Mechanism of Urbanization in Small Cities: Case Study from Guangxi," Land, MDPI, vol. 11(3), pages 1-34, March.
    7. Chris Jacobs‐Crisioni & Mert Kompil & Lewis Dijkstra, 2023. "Big in the neighbourhood: Identifying local and regional centres through their network position," Papers in Regional Science, Wiley Blackwell, vol. 102(2), pages 421-457, April.
    8. Fox, Sean & Wolf, Levi John, 2022. "What makes a place urban?," SocArXiv qfvry, Center for Open Science.
    9. Feng, Xinhui & Wang, Sensen & Li, Yan & Yang, Jiayu & Lei, Kaige & Yuan, Weikang, 2024. "Spatial heterogeneity and driving mechanisms of carbon emissions in urban expansion areas: A research framework coupled with patterns and functions," Land Use Policy, Elsevier, vol. 143(C).
    10. Arshed, Noman & Anwar, Aftab & Abbas, Manzir & Mughal, Waheed, 2024. "Natural habitat vs human in competition for breathing space: Need for restructuring clean energy infrastructure," Ecological Economics, Elsevier, vol. 220(C).
    11. Yunchen Wang & Boyan Li & Lei Xu, 2022. "Monitoring Land-Use Efficiency in China’s Yangtze River Economic Belt from 2000 to 2018," Land, MDPI, vol. 11(7), pages 1-13, July.
    12. Adele Sateriano & Giovanni Quaranta & Rosanna Salvia & Francisco Escrivà Saneugenio & Alvaro Marucci & Luca Salvati & Barbara Zagaglia & Francesco Chelli, 2024. "Envisaging the Intrinsic Departure from Zipf’s Law as an Indicator of Economic Concentration along Urban–Rural Gradients," Land, MDPI, vol. 13(4), pages 1-15, March.
    13. Feng, Yidai & Yuan, Huaxi & Liu, Yaobin & Zhang, Shaohui, 2023. "Does new-type urbanization policy promote green energy efficiency? Evidence from a quasi-natural experiment in China," Energy Economics, Elsevier, vol. 124(C).
    14. Yongyong Song & Siyou Xia & Dongqian Xue & Shuai Luo & Liwei Zhang & Donghua Wang, 2022. "Land Space Change Process and Its Eco-Environmental Effects in the Guanzhong Plain Urban Agglomeration of China," Land, MDPI, vol. 11(9), pages 1-21, September.
    15. Hachaichi, Mohamed, 2023. "Unpacking the urban virtual water of the Global South: Lessons from 181 cities," Ecological Economics, Elsevier, vol. 210(C).
    16. Yifu Ou & Euijune Kim & Xingjian Liu & Kyung-Min Nam, 2023. "Delineating functional regions from road networks: The case of South Korea," Environment and Planning B, , vol. 50(6), pages 1677-1694, July.
    17. Peilei Fan & Jiquan Chen & Tanni Sarker, 2022. "Roles of Economic Development Level and Other Human System Factors in COVID-19 Spread in the Early Stage of the Pandemic," Sustainability, MDPI, vol. 14(4), pages 1-15, February.
    18. Shohei Nakamura & Kseniya Abanokova & Hai-Anh H. Dang & Shinya Takamatsu & Chunchen Pei & Dilou Prospere, 2023. "Is Climate Change Slowing the Urban Escalator Out of Poverty? Evidence from Chile, Colombia, and Indonesia," IJERPH, MDPI, vol. 20(6), pages 1-21, March.
    19. Abdullah Addas, 2023. "Influence of Urban Green Spaces on Quality of Life and Health with Smart City Design," Land, MDPI, vol. 12(5), pages 1-19, April.
    20. Yele Maweki Batana & Shohei Nakamura & Anirudh Rajashekar & Mervy Ever Viboudoulou Vilpoux & Christina Wieser, 2024. "Spatial heterogeneity of COVID‐19 impacts on urban household incomes: Between‐ and within‐city analyses of two African countries," Journal of International Development, John Wiley & Sons, Ltd., vol. 36(3), pages 1918-1943, April.

    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:jsusta:v:16:y:2024:i:22:p:9698-:d:1515939. 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.