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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.
  • Handle: RePEc:spr:circec:v:1:y:2021:i:4:d:10.1007_s43615-021-00035-y
    DOI: 10.1007/s43615-021-00035-y
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    References listed on IDEAS

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    1. Jim Lynch & Mark Maslin & Heiko Balzter & Martin Sweeting, 2013. "Choose satellites to monitor deforestation," Nature, Nature, vol. 496(7445), pages 293-294, April.
    2. 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).
    3. 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.
    4. 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.
    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.
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