Smart System for Landslide Monitoring and Alerts

Landslides are devastating natural disasters that often happen in hilly and mountainous regions. They cause significant loss of life and damage to property. This paper introduces an IoT-based Landslide Detection and Early Warning System that continuously monitors key parameters this include ground tilt using an MPU6050 sensor, soil moisture content, and ground vibrations through a vibration sensor. The system uses ESP8266 NodeMCU as the central processing unit. This unit collects sensor data and sends it to a local host server for real-time monitoring and visualization. A mobile application interface displays sensor readings and sends instant alerts when parameters go beyond set threshold values. The system offers early warning to communities in landslide-prone areas, helping facilitate timely evacuations and preventive actions. The local host-based IoT approach ensures reliable data monitoring, even in locations with limited internet connectivity.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-06
DOI
https://doi.org/10.5281/zenodo.19438537
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
0.00
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article

Smart System for Landslide Monitoring and Alerts

Ashwini Jadhav, M. P. Gujar, Pooja Patil, Indrajit Tavate
Zenodo (CERN European Organization for Nuclear Research)
Landslides and related hazards
article

Smart System for Landslide Monitoring and Alerts

Ashwini Jadhav, M. P. Gujar, Pooja Patil, Indrajit Tavate
article en

Abstract

Landslides are devastating natural disasters that often happen in hilly and mountainous regions. They cause significant loss of life and damage to property. This paper introduces an IoT-based Landslide Detection and Early Warning System that continuously monitors key parameters this include ground tilt using an MPU6050 sensor, soil moisture content, and ground vibrations through a vibration sensor. The system uses ESP8266 NodeMCU as the central processing unit. This unit collects sensor data and sends it to a local host server for real-time monitoring and visualization. A mobile application interface displays sensor readings and sends instant alerts when parameters go beyond set threshold values. The system offers early warning to communities in landslide-prone areas, helping facilitate timely evacuations and preventive actions. The local host-based IoT approach ensures reliable data monitoring, even in locations with limited internet connectivity.

Zenodo (CERN European Organization for Nuclear Research)
Climate action
Openalex Percentile: Top 4%
Landslides and related hazards
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