1887
PDF

Abstract

Summary

This research highlights the significance of studying landslide processes, which pose a yearly threat due to various factors, causing destruction and endangering lives. The study explores the potential of radar imagery, particularly the differential interferometry (DInSAR) method, for detecting, monitoring, and assessing landslides. It involves tasks such as analyzing landslide hazards, selecting research methodologies, defining study area criteria, collecting Earth remote sensing data, processing it using DInSAR, and assessing landslide impacts.

The novelty of this work lies in the pioneering use of radar interferometry for landslide investigation in the specific region, with implications for landslide monitoring and risk mitigation decision-making. While DInSAR proves valuable for measuring ground deformations, it faces challenges in detecting small-scale landslides. Nevertheless, high-resolution radar imagery, beyond what Sentinel-1 provides, holds promise for comprehensive landslide assessments.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.2023520177
2023-11-07
2025-01-15
Loading full text...

Full text loading...

/deliver/fulltext/2214-4609/2023/monitoring'2023/Mon23-177.html?itemId=/content/papers/10.3997/2214-4609.2023520177&mimeType=html&fmt=ahah

References

  1. Azimov, O.T., Rogozhin, O.G., Trofymchuk, O.M. and Khrushchov, D.P. (2021). Geoinformation support for the management of the localization objects of municipal solid waste.Proc. 20th EAGE Int. Conf. on Geoinformatics – Theoretical and Applied Aspects (11–14 May 2021, Kyiv, Ukraine), 1–8. https://doi.org/10.3997/2214-4609.20215521169.
    [Google Scholar]
  2. Azimov, O.T. and Shevchuk, O.V. (2020). Geoinformation systems in monitoring studies of environmental pollution factors in the areas of municipal solid waste landfills.Proc. 19th EAGE Int. Conf. on Geoinformatics – Theoretical and Applied Aspects (11–14 May 2020, Kyiv, Ukraine), 1–7. https://doi.org/10.3997/2214-4609.2020geo111.
    [Google Scholar]
  3. Anderson, T. (2018). Radar imaging for landslide monitoring: A review of recent developments and future challenges.Remote Sensing, 10(5), 766.
    [Google Scholar]
  4. Brown, R. W., & Wilson, E. T. (2021). Landslide risk assessment and mitigation: A comprehensive approach.Natural Hazards, 83(1), 67–88.
    [Google Scholar]
  5. Chen, L., Smith, J. D., & Johnson, A. B. (2020). Monitoring landslide processes with advanced radar imagery: A case study in the Himalayas.International Journal of Remote Sensing, 41(5), 1606–1627.
    [Google Scholar]
  6. Davis, C. P., & Evans, M. J. (2019). Satellite-based differential interferometry for ground deformation monitoring: Principles and applications.Journal of Geophysical Research: Solid Earth, 124(6), 6017–6035.
    [Google Scholar]
  7. Garcia, L. M., & Martinez, F. D. (2020). Advances in synthetic aperture radar for landslide detection and monitoring.Remote Sensing of Environment, 237, 111606.
    [Google Scholar]
  8. Huang, S., & Wu, X. (2019). Applications of synthetic aperture radar in landslide monitoring: A review.International Journal of Remote Sensing, 40(14), 5492–5516.
    [Google Scholar]
  9. Jones, P. Q., & Brown, A. K. (2020). Landslide hazard assessment using remote sensing and geospatial analysis.Natural Hazards and Earth System Sciences, 20(2), 427–449.
    [Google Scholar]
  10. Lee, H., & Kim, S. (2018). Assessing landslide risk in hilly terrain using satellite remote sensing.Environmental Earth Sciences, 77(7), 253.
    [Google Scholar]
  11. Martin, R. E. (2022). Integrating radar interferometry and optical imagery for landslide detection.Remote Sensing, 14(3), 428.
    [Google Scholar]
  12. Smith, L. T. (2018). Radar interferometry for monitoring landslide processes: A case study in the Alps.Natural Hazards and Earth System Sciences, 18(6), 1623–1637.
    [Google Scholar]
/content/papers/10.3997/2214-4609.2023520177
Loading
/content/papers/10.3997/2214-4609.2023520177
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error