Landslide Detection in Remote Areas Using LoRa and Sensor Networks

Abstract

Landslides pose a significant threat to lives and infrastructure in hilly, remote regions, necessitating more proactive safety measures. This project introduces an intelligent IoT system that monitors environmental stability in real time by integrating a NodeMCU ESP8266 with soil moisture, tilt, and atmospheric sensors. By leveraging LoRa technology for long-range data transmission and Firebase for cloud storage, the system ensures that critical information is accessible even from isolated locations. An integrated AI model analyzes these data streams to predict landslide probabilities, triggering immediate alerts via a web dashboard, local buzzers, and LCD displays. This combination of smart sensing and predictive modeling creates a reliable, high-tech early warning system that empowers communities to manage disaster risks more effectively.