Authors :
Narayani Omprakash; Santhanalakshmi V; Dr. D.P. Siyasakthi Balan
Volume/Issue :
Volume 10 - 2025, Issue 4 - April
Google Scholar :
https://tinyurl.com/2uv352r7
Scribd :
https://tinyurl.com/2rvvpzs3
DOI :
https://doi.org/10.38124/ijisrt/25apr742
Google Scholar
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Abstract :
To explore the use of sensor technology for early detection and warning of landslides. By monitoring key factors
such as ground movement, rainfall, and soil moisture, sensors can detect signs of instability that precede landslides. Data
collected by these sensors is analyzed in real-time to assess potential risk, and alerts are issued to the public and authorities
via SMS, sirens, or mobile apps. The effectiveness of early warning systems in providing timely alerts depends on the type
of landslide and the data available. This research highlights the potential of sensor-based systems in improving disaster
preparedness and reducing the impact of landslides through advanced monitoring and alert mechanisms.The ability to
provide early warnings depends on the sensor types used and the specific characteristics of the landslide, such as its speed
and location. In some cases, these systems can offer hours of warning, while in others, only a short period may be available.
Despite these challenges, advancements in sensor technology, real-time data transmission, and predictive analytics are
improving the efficiency and effectiveness of landslide early warning systems. This research highlights the importance of
integrating sensor-based monitoring and alert systems to enhance disaster resilience and reduce the loss of life and property
from landslides.
Keywords :
Warning of Landslides, Sensor Technology.
References :
- Intrieri, E., Gigli, G., Casagli, N., Nadim, F. (2013). Landslide Early Warning Systems: State of the Art and Future Directions. Geomorphology, 200, 512–535. https://doi.org/10.1016/j.geomorph.2013.05.005
- Huang, Y., Zhao, W., Zhang, X., Liu, C., & Fan, X. (2020). A review of landslide early warning systems in China. Landslides, 17(2), 267–285. https://doi.org/10.1007/s10346-019-01266-3
- Chae, B.-G., Park, H.-J., Catani, F., Simoni, A., & Berti, M. (2017). Landslide prediction, monitoring and early warning: A concise review of state-of-the-art. Geomatics, Natural Hazards and Risk, 8(1), 1049–1078. https://doi.org/10.1080/19475705.2017.1313078
- Kirschbaum, D. B., Stanley, T., & Simmons, J. A. (2019). A dynamic landslide hazardassessment system for situational awareness. Earth’s Future, 7(2), 237–250. https://doi.org/10.1029/2018EF001989
- Fathani, T. F., Karnawati, D., & Gunawan, H. (2016). Community-based landslide early warning system. Springer Natural Hazards. https://doi.org/10.1007/978-3-319-59469-9
- Stumpf, A., Malet, J.-P., Kerle, N., Niethammer, U., & Gigli, G. (2016). Earth surface monitoring with optical and radar satellite remote sensing. Remote Sensing, 8(2), 87. https://doi.org/10.3390/rs8020087
- Liu, Y., Huang, R., Li, Y., & Xie, W. (2020). Deep learning and its application to landslide susceptibility mapping. Natural Hazards, 102, 415–429. https://doi.org/10.1007/s11069-020-03921-3
To explore the use of sensor technology for early detection and warning of landslides. By monitoring key factors
such as ground movement, rainfall, and soil moisture, sensors can detect signs of instability that precede landslides. Data
collected by these sensors is analyzed in real-time to assess potential risk, and alerts are issued to the public and authorities
via SMS, sirens, or mobile apps. The effectiveness of early warning systems in providing timely alerts depends on the type
of landslide and the data available. This research highlights the potential of sensor-based systems in improving disaster
preparedness and reducing the impact of landslides through advanced monitoring and alert mechanisms.The ability to
provide early warnings depends on the sensor types used and the specific characteristics of the landslide, such as its speed
and location. In some cases, these systems can offer hours of warning, while in others, only a short period may be available.
Despite these challenges, advancements in sensor technology, real-time data transmission, and predictive analytics are
improving the efficiency and effectiveness of landslide early warning systems. This research highlights the importance of
integrating sensor-based monitoring and alert systems to enhance disaster resilience and reduce the loss of life and property
from landslides.
Keywords :
Warning of Landslides, Sensor Technology.