LoRa Based Metrics Evaluation for Real-Time Landslide Monitoring on IoT platform

International Journal of Emerging Research in Science, Engineering, and Management
Vol. 2, Issue 3, pp. 256-261, March 2026.

https://doi.org/10.58482/ijersem.v2i3.32

This work is licensed under a Creative Commons Attribution 4.0 International License.

LoRa Based Metrics Evaluation for Real-Time Landslide Monitoring on IoT platform

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P Manimohan

A Yamini

G Revanth Kumar

S Karan Davood

B Yasaswi

S Rahul Kumar

Department of ECE, Siddartha Institute of Science and Technology, Puttur, India.

Abstract: An IoT-based landslide monitoring system provides continuous real-time tracking of soil movement, moisture variation, and vibration changes in vulnerable regions. Sensors such as tilt, strain, moisture, and accelerometers collect critical ground data and transmit it through LoRaWAN for long- range, low-power communication. Our system processes environmental parameters to detect early warning signs before major slope failures occur. Cloud analytics evaluate trends, abnormal patterns, and threshold breaches with high accuracy. Alerts are instantly delivered to nearby vehicles, residents, and authorities through mobile apps, sirens, or display boards. This solution minimizes response time during emergencies and enhances public safety. The architecture is cost-effective, scalable, and suitable for remote terrain. It supports predictive analysis to assess risk levels based on historical and live data. The system helps government agencies plan preventive actions and reduce landslide impact. Overall, it provides an efficient, intelligent, and reliable approach for early landslide detection and disaster mitigation.

Keywords: LoRaWAN, IoT Monitoring, Landslide Sensors, Terrain Analysis, Early Warning Systems.

References: 

  1. S. Bagwari, A. Roy, A. Gehlot, R. Singh, N. Priyadarshi and B. Khan, “LoRa Based Metrics Evaluation for Real-Time Landslide Monitoring on IoT Platform,” in IEEE Access, vol. 10, pp. 46392-46407, 2022, doi: 10.1109/ACCESS.2022.3169797.
  2. R. Amirthavarshini, A. I. M. Shamil, P. S. A. Raaj, and G. Kanimozhi, “Harnessing LoRa for real-time landslide monitoring and early alerts in Kerala’s terrain,” Geoscience Frontiers, vol. 17, no. 2, p. 102242, Dec. 2025, doi: 10.1016/j.gsf.2025.102242.
  3. L. M. Pires and I. Veiga, “Design of a Low-Cost and Low-Power LORA-Based IoT system for rockfall and landslide monitoring,” Designs, vol. 9, no. 6, p. 144, Dec. 2025, doi: 10.3390/designs9060144.
  4. C. Wang, W. Guo, K. Yang, X. Wang, and Q. Meng, “Real-Time monitoring system of landslide based on LORA architecture,” Frontiers in Earth Science, vol. 10, Jun. 2022, doi: 10.3389/feart.2022.899509.
  5. J. Guo, J. Guo, F. Meng, J. Guo, and J. Guo, “Gradual failure of a Rainfall-Induced Creep-Type landslide and an application of improved integrated monitoring system: a case study,” Sensors, vol. 24, no. 22, p. 7409, Nov. 2024, doi: 10.3390/s24227409.
  6. M. Ragnoli, A. Leoni, G. Barile, G. Ferri, and V. Stornelli, “LoRa-Based Wireless Sensors Network for Rockfall and Landslide Monitoring: A Case Study in Pantelleria Island with Portable LoRaWAN Access,” Journal of Low Power Electronics and Applications, vol. 12, no. 3, p. 47, Sep. 2022, doi: 10.3390/jlpea12030047.
  7. H. Biggs et al., “Kinematic Loggers—Development of Rugged Sensors and Recovery Systems for Field Measurements of Stone Rolling Dynamics and Impact Accelerations during Floods,” Sensors, vol. 22, no. 3, p. 1013, Jan. 2022, doi: 10.3390/s22031013.
  8. M. Gamperl, J. Singer, and K. Thuro, “Internet of Things Geosensor Network for Cost-Effective Landslide Early Warning Systems,” Sensors, vol. 21, no. 8, p. 2609, Apr. 2021, doi: 10.3390/s21082609.
  9. F. K. Rengers, L. A. McGuire, N. S. Oakley, J. W. Kean, D. M. Staley, and H. Tang, “Landslides after wildfire: initiation, magnitude, and mobility,” Landslides, vol. 17, no. 11, pp. 2631–2641, Aug. 2020, doi: 10.1007/s10346-020-01506-3.
  10. H. Saputra, R. A. A. Helmi, M. D. Ghazali, and W. O. Sumartini, “Urban Resilience through IoT-Based Disaster Preparedness and Infrastructure Monitoring: A Systematic Literature Review,” Natural Hazards Research, Sep. 2025, doi: 10.1016/j.nhres.2025.09.005.
  11. N. Katal, “Fundamentals of the Internet of Things (IoT) for environmental monitoring,” in Elsevier eBooks, 2025, pp. 3–53. doi: 10.1016/b978-0-443-34254-7.00009-x.
  12. I. Chandran and K. Vipin, “Multi-UAV networks for disaster monitoring: challenges and opportunities from a network perspective,” Drone Systems and Applications, vol. 12, pp. 1–28, Jan. 2024, doi: 10.1139/dsa-2023-0079.
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This article is part of Volume 2, Issue 3 (March 2026)