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Identification of areas at the risk of landslide via the short-time Fourier transform

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Abstract

Landslide is a natural hazard that, next to earthquakes and floods, causes the largest damage to humans. Nowadays, experts take landslide events into serious consideration and they try to map and identify them accurately in time domain. So far, most of the methods used for this purpose have been of the time-domain type with their own drawbacks. Dealing with some functions in a time-domain method is difficult due to the complexity of calculations, frequency behavior analysis and content extraction. Therefore, a frequency-domain format was used in this study. The short-time Fourier transform and weighted overlay methods were applied in order to detect landslides-prone areas, and the results were evaluated using the prediction-area plot. As the intersection point of the P–A plot in the power spectrum-area model demonstrated 82% of landslide events had occurred only in 18% of the district, while the intersection point of the P–A plot in the weighted overlay model showed the occurrence of 70% of landslide events only in 30% of the study area.

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Authors and Affiliations

  1. Department of Mining Engineering, Isfahan University of Technology, Isfahan, Iran

    Zohre Hoseinzade & Neda Sadat Miresmaeili

  2. Department of Civil Engineering, Faculty of Engineering, Yazd University, Yazd, Iran

    Maryam Mokhtari

  3. Soil Conservation and Watershed Management Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran

    Kourosh Shirani

Authors
  1. Zohre Hoseinzade
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  2. Maryam Mokhtari
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  3. Kourosh Shirani
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  4. Neda Sadat Miresmaeili
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Hoseinzade, Z., Mokhtari, M., Shirani, K. et al. Identification of areas at the risk of landslide via the short-time Fourier transform. Earth Sci Inform 15, 2405–2413 (2022). https://doi.org/10.1007/s12145-022-00816-5

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  • DOI: https://doi.org/10.1007/s12145-022-00816-5

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