IDEAS home Printed from https://ideas.repec.org/a/ags/polpwa/317041.html
   My bibliography  Save this article

Land Use Land Cover Change Detection Using Remote Geospatial Techniques: A Case Study of an Urban City in Southwestern, Nigeria

Author

Listed:
  • Olayungbo, Adenike Anike

Abstract

Many cities in developing countries are experiencing ecosystem modification and change. Today, about 10 million hectares of the world’s forest cover have been converted to other land uses. In Nigeria, there is an estimated increase of 8.75 million ha of cropland and decreased of about 1.71 million ha of forest cover between 1995 to 2020 indicating that Nigeria has been undergoing a wide range of land use and land cover changes. This paper analyses the changes in land use/cover in Ila Orangun, Southwestern, Nigeria from 1986 to 2018 with a view to providing adequate information on the pattern and trend of land use land cover changes for proper monitoring and effective planning. The study utilized satellite imageries from Landsat 1986, 2002 and 2018. Remote sensing and Geographical Information System techniques as well as supervised image classification method were used to assess the magnitude of changes in the city over the study period. The results show that 26.36% of forest cover and 44.48% of waterbody were lost between the period of 1986 and 2018. There was a rapid increase in crop land by 365.7% and gradual increase in built-up areas by 103.85% at an annual rate of 3.25%. Forest was the only land cover type that recorded a constant reduction in areal extent. The study concluded that the changes in land use land cover is as a result of anthropogenic activities in the study area.

Suggested Citation

  • Olayungbo, Adenike Anike, 2021. "Land Use Land Cover Change Detection Using Remote Geospatial Techniques: A Case Study of an Urban City in Southwestern, Nigeria," Problems of World Agriculture / Problemy Rolnictwa Światowego, Warsaw University of Life Sciences, vol. 21(2), June.
    • Handle: RePEc:ags:polpwa:317041
    DOI: 10.22004/ag.econ.317041
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/317041/files/PRS_2021_T21%2836%29_n2_s4.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.317041?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
    ---><---

    References listed on IDEAS

    as
    1. Chen Liping & Sun Yujun & Sajjad Saeed, 2018. "Monitoring and predicting land use and land cover changes using remote sensing and GIS techniques—A case study of a hilly area, Jiangle, China," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-23, July.
    2. Costanza, Robert & d'Arge, Ralph & de Groot, Rudolf & Farber, Stephen & Grasso, Monica & Hannon, Bruce & Limburg, Karin & Naeem, Shahid & O'Neill, Robert V. & Paruelo, Jose, 1998. "The value of the world's ecosystem services and natural capital," Ecological Economics, Elsevier, vol. 25(1), pages 3-15, 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. Abera Assefa Biratu & Bobe Bedadi & Solomon Gebreyohannis Gebrehiwot & Assefa M. Melesse & Tilahun Hordofa Nebi & Wuletawu Abera & Lulseged Tamene & Anthony Egeru, 2022. "Ecosystem Service Valuation along Landscape Transformation in Central Ethiopia," Land, MDPI, vol. 11(4), pages 1-18, March.
    2. Dirk Lauinger & Romain G. Billy & Felipe Vásquez & Daniel B. Müller, 2021. "A general framework for stock dynamics of populations and built and natural environments," Journal of Industrial Ecology, Yale University, vol. 25(5), pages 1136-1146, October.
    3. Yangcheng Hu & Yi Liu & Changyan Li, 2022. "Multi-Scenario Simulation of Land Use Change and Ecosystem Service Value in the Middle Reaches of Yangtze River Urban Agglomeration," Sustainability, MDPI, vol. 14(23), pages 1-19, November.
    4. Shuming Ma & Jie Huang & Yingying Chai, 2021. "Proposing a GEE-Based Spatiotemporally Adjusted Value Transfer Method to Assess Land-Use Changes and Their Impacts on Ecosystem Service Values in the Shenyang Metropolitan Area," Sustainability, MDPI, vol. 13(22), pages 1-20, November.
    5. Nunes, P.A.L.D. & Nijkamp, P., 2011. "Biodiversity: Economic perspectives," Serie Research Memoranda 0002, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    6. Chen, Qi & Li, Xinyuan & Zhang, Zhengjia & Zhou, Chao & Guo, Zhiling & Liu, Zhengguang & Zhang, Haoran, 2023. "Remote sensing of photovoltaic scenarios: Techniques, applications and future directions," Applied Energy, Elsevier, vol. 333(C).
    7. Hendrawan, Dienda C P & Musshoff, Oliver, 2022. "Oil Palm Smallholder Farmers' Livelihood Resilience and Decision Making in Replanting," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322441, Agricultural and Applied Economics Association.
    8. Man-Jing Li & Jia-Xu Han & Mao Zhu & Yuan-Biao Zhang, 2019. "The True Valuation of Land Use Project in China Considering Ecosystem Services," Modern Applied Science, Canadian Center of Science and Education, vol. 13(10), pages 1-46, October.
    9. Ping Shen & Lijuan Wu & Ziwen Huo & Jiaying Zhang, 2023. "A Study on the Spatial Pattern of the Ecological Product Value of China’s County-Level Regions Based on GEP Evaluation," IJERPH, MDPI, vol. 20(4), pages 1-18, February.
    10. Garbarino, Nicola & Guin, Benjamin, 2021. "High water, no marks? Biased lending after extreme weather," Journal of Financial Stability, Elsevier, vol. 54(C).
    11. Yue Wang & Qi Fu & Tinghui Wang & Mengfan Gao & Jinhua Chen, 2022. "Multiscale Characteristics and Drivers of the Bundles of Ecosystem Service Budgets in the Su-Xi-Chang Region, China," IJERPH, MDPI, vol. 19(19), pages 1-26, October.
    12. van der Hoff, Richard & Nascimento, Nathália & Fabrício-Neto, Ailton & Jaramillo-Giraldo, Carolina & Ambrosio, Geanderson & Arieira, Julia & Afonso Nobre, Carlos & Rajão, Raoni, 2022. "Policy-oriented ecosystem services research on tropical forests in South America: A systematic literature review," Ecosystem Services, Elsevier, vol. 56(C).
    13. Borrello, M. & Cecchini, L. & Vecchio, R. & Caracciolo, F. & Cembalo, L. & Torquati, B., 2022. "Agricultural landscape certification as a market-driven tool to reward the provisioning of cultural ecosystem services," Ecological Economics, Elsevier, vol. 193(C).
    14. Feng, Hongli & Jha, Manoj & Gassman, Philip W. & Parcel, Joshua D., 2007. "A Recent Trend in Ecological Economic Research: Quantifying the Benefits and Costs of Improving Ecosystem Services," ISU General Staff Papers 200701010800001812, Iowa State University, Department of Economics.
    15. Holmes, Thomas P. & Bergstrom, John C. & Huszar, Eric & Kask, Susan B. & Orr, Fritz, III, 2002. "Estimating The Local Economic Benefits Of Riparian Ecosystem Restoration Using Iterated Contingent Valuation," Faculty Series 16696, University of Georgia, Department of Agricultural and Applied Economics.
    16. Zhang, Honghui & Zeng, Yongnian & Jin, Xiaobin & Shu, Bangrong & Zhou, Yinkang & Yang, Xuhong, 2016. "Simulating multi-objective land use optimization allocation using Multi-agent system—A case study in Changsha, China," Ecological Modelling, Elsevier, vol. 320(C), pages 334-347.
    17. Evans, Nicole M. & Carrozzino-Lyon, Amy L. & Galbraith, Betsy & Noordyk, Julia & Peroff, Deidre M. & Stoll, John & Thompson, Aaron & Winden, Matthew W. & Davis, Mark A., 2019. "Integrated ecosystem service assessment for landscape conservation design in the Green Bay watershed, Wisconsin," Ecosystem Services, Elsevier, vol. 39(C).
    18. Riegel, Simone & Kuhfuss, Laure & Stojanovic, Timothy, 2023. "Nature-based solutions for climate change mitigation: Assessing the Scottish Public's preferences for saltmarsh carbon storage," Ecological Economics, Elsevier, vol. 211(C).
    19. Desbureaux, Sébastien & Brimont, Laura, 2015. "Between economic loss and social identity: The multi-dimensional cost of avoiding deforestation in Eastern Madagascar," Ecological Economics, Elsevier, vol. 118(C), pages 10-20.
    20. Shrestha, Ram K. & Seidl, Andrew F. & Moraes, Andre S., 2002. "Value of recreational fishing in the Brazilian Pantanal: a travel cost analysis using count data models," Ecological Economics, Elsevier, vol. 42(1-2), pages 289-299, August.

    More about this item

    Keywords

    Agribusiness; Land Economics/Use;

    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:ags:polpwa:317041. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/wesggpl.html .

    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.