IDEAS home Printed from https://ideas.repec.org/a/spr/circec/v1y2021i4d10.1007_s43615-021-00035-y.html
   My bibliography  Save this article

Detection of Urban and Environmental Changes via Remote Sensing

Author

Listed:
  • Karim Ennouri

    (University of Sfax)

  • Slim Smaoui

    (Laboratory of Microorganisms and Biomolecules of the Center of Biotechnology of Sfax-Tunisia)

  • Mohamed Ali Triki

    (University of Sfax)

Abstract

Rapid climate and environmental change at limited, regional, and general scales have been a major concern for researchers in a number of fields, such as topography, economy, environment, and sustainable development. Changes in land cover and land use have taken into account due to potential impacts on soil depletion, amplified run-off, water balance, and climate change. A detailed understanding of the characteristics of land exploitation and land structure is indispensable for the study of their influences on life and nature. In addition, urban extension is a major form of land extraction and land transformation, as it relates to the rise in population and the availability of financial services. Remote sensing records have been shown to be important for reporting and perceiving urban development and transition, and for providing critical information for future growth. Transformation and shift identification are the tools used to recognise distinctions in a land cover by tracking them at various times. In addition, various change identification and detection approaches are routinely tested with the goal of providing the greatest change detection deductions for a particular appliance. This review would aim to establish a practical plan that combines remote sensing techniques, on the one hand, and modelling approaches, on the other, to track land use, to cover changes, and to predict future trends.

Suggested Citation

  • Karim Ennouri & Slim Smaoui & Mohamed Ali Triki, 2021. "Detection of Urban and Environmental Changes via Remote Sensing," Circular Economy and Sustainability, Springer, vol. 1(4), pages 1423-1437, December.
  • Handle: RePEc:spr:circec:v:1:y:2021:i:4:d:10.1007_s43615-021-00035-y
    DOI: 10.1007/s43615-021-00035-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s43615-021-00035-y
    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/s43615-021-00035-y?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. Yang, Jing-Hua & Zhao, Xi-Le & Ji, Teng-Yu & Ma, Tian-Hui & Huang, Ting-Zhu, 2020. "Low-rank tensor train for tensor robust principal component analysis," Applied Mathematics and Computation, Elsevier, vol. 367(C).
    2. Laurel Ballanti & Kristin B. Byrd & Isa Woo & Christopher Ellings, 2017. "Remote Sensing for Wetland Mapping and Historical Change Detection at the Nisqually River Delta," Sustainability, MDPI, vol. 9(11), pages 1-32, October.
    3. Jim Lynch & Mark Maslin & Heiko Balzter & Martin Sweeting, 2013. "Choose satellites to monitor deforestation," Nature, Nature, vol. 496(7445), pages 293-294, April.
    4. Shannon M. Sterling & Agnès Ducharne & Jan Polcher, 2013. "The impact of global land-cover change on the terrestrial water cycle," Nature Climate Change, Nature, vol. 3(4), pages 385-390, April.
    5. Keola, Souknilanh & Andersson, Magnus & Hall, Ola, 2015. "Monitoring Economic Development from Space: Using Nighttime Light and Land Cover Data to Measure Economic Growth," World Development, Elsevier, vol. 66(C), pages 322-334.
    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. Hayakawa, Kazunobu & Keola, Souknilanh & Silaphet, Korrakoun & Yamanouchi, Kenta, 2022. "Estimating the impacts of international bridges on foreign firm locations: a machine learning approach," IDE Discussion Papers 847, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    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. Felbermayr, Gabriel & Gröschl, Jasmin & Sanders, Mark & Schippers, Vincent & Steinwachs, Thomas, 2018. "Shedding Light on the Spatial Diffusion of Disasters," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181556, Verein für Socialpolitik / German Economic Association.
    4. Dimas de Barros Santiago & Humberto Alves Barbosa & Washington Luiz Félix Correia Filho & José Francisco de Oliveira-Júnior & Franklin Paredes-Trejo & Catarina de Oliveira Buriti, 2022. "Variability of Water Use Efficiency Associated with Climate Change in the Extreme West of Bahia," Sustainability, MDPI, vol. 14(23), pages 1-13, November.
    5. Qinghe Zhao & Shengyan Ding & Xiaoyu Ji & Zhendong Hong & Mengwen Lu & Peng Wang, 2021. "Relative Contribution of the Xiaolangdi Dam to Runoff Changes in the Lower Yellow River," Land, MDPI, vol. 10(5), pages 1-21, May.
    6. Matthew D. Senyshen & Dongmei Chen, 2023. "The Impact of Land Cover Change on Surface Water Temperature of Small Lakes in Eastern Ontario from 1985 to 2020," Land, MDPI, vol. 12(3), pages 1-18, February.
    7. GIBSON, John & ZHANG, Xiaoxuan & PARK, Albert & YI, Jiang & XI, Li, 2024. "Remotely measuring rural economic activity and poverty : Do we just need better sensors?," CEI Working Paper Series 2023-08, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    8. Marcello Schiavina & Michele Melchiorri & Christina Corbane & Aneta J. Florczyk & Sergio Freire & Martino Pesaresi & Thomas Kemper, 2019. "Multi-Scale Estimation of Land Use Efficiency (SDG 11.3.1) across 25 Years Using Global Open and Free Data," Sustainability, MDPI, vol. 11(20), pages 1-25, October.
    9. Wang, Yugang & Huang, Ting-Zhu & Zhao, Xi-Le & Deng, Liang-Jian & Ji, Teng-Yu, 2020. "A convex single image dehazing model via sparse dark channel prior," Applied Mathematics and Computation, Elsevier, vol. 375(C).
    10. Zhou, You & Zhang, Lingzhu & JF Chiaradia, Alain, 2022. "Estimating wider economic impacts of transport infrastructure Investment: Evidence from accessibility disparity in Hong Kong," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 220-235.
    11. Büttner, Nicolas & Grimm, Michael & Günther, Isabel & Harttgen, Kenneth & Klasen, Stephan, 2022. "The fertility transition in Sub-Saharan Africa: The role of structural change," Passauer Diskussionspapiere, Volkswirtschaftliche Reihe V-90-22, University of Passau, Faculty of Business and Economics.
    12. Ola Hall & Francis Dompae & Ibrahim Wahab & Fred Mawunyo Dzanku, 2023. "A review of machine learning and satellite imagery for poverty prediction: Implications for development research and applications," Journal of International Development, John Wiley & Sons, Ltd., vol. 35(7), pages 1753-1768, October.
    13. Phoebe W. Ishak & Pierre-Guillaume Méon, 2020. "A resource-rich neighbor is a misfortune: The spatial distribution of the resource curse in Brazil," Working Papers CEB 20-001, ULB -- Universite Libre de Bruxelles.
    14. Qian Chen & Tingting Ye & Naizhuo Zhao & Mingjun Ding & Zutao Ouyang & Peng Jia & Wenze Yue & Xuchao Yang, 2021. "Mapping China’s regional economic activity by integrating points-of-interest and remote sensing data with random forest," Environment and Planning B, , vol. 48(7), pages 1876-1894, September.
    15. van der Weide, Roy & Blankespoor, Brian & Elbers, Chris & Lanjouw, Peter, 2024. "How accurate is a poverty map based on remote sensing data? An application to Malawi," Journal of Development Economics, Elsevier, vol. 171(C).
    16. Dickinson, Jeffrey, 2020. "Planes, trains, and automobiles: what drives human-made light?," MPRA Paper 117126, University Library of Munich, Germany.
    17. Prashant Patil & Murali Krishna Gumma, 2018. "A Review of the Available Land Cover and Cropland Maps for South Asia," Agriculture, MDPI, vol. 8(7), pages 1-22, July.
    18. Christian Otchia & Simplice Asongu, 2020. "Industrial growth in sub-Saharan Africa: evidence from machine learning with insights from nightlight satellite images," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 48(8), pages 1421-1441, December.
    19. Matthieu Charpe, 2023. "Convergence heterogeneity at the local level in sub‐Saharan Africa," Papers in Regional Science, Wiley Blackwell, vol. 102(2), pages 273-305, April.
    20. Cong Zhang & Xiaojun Yao & Guoyu Wang & Huian Jin & Te Sha & Xinde Chu & Juan Zhang & Juan Cao, 2022. "Temporal and Spatial Variation of Land Use and Vegetation in the Three–North Shelter Forest Program Area from 2000 to 2020," Sustainability, MDPI, vol. 14(24), pages 1-21, December.

    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:circec:v:1:y:2021:i:4:d:10.1007_s43615-021-00035-y. 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.