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  Published Paper Details:

  Paper Title

Landslide & Rockfall Monitoring System Using NodeMCU Sensor Node with LoRa Communication and Thingspeak IoT

  Authors

  Dipalee Narayan Chavan,  Sushma Sakharam Gadekar,  Shaila Pandharinath Kharde

  Keywords

Landslides, Rock fall detection, Remote sensing, NodeMCU ADXL345, GIS

  Abstract


A LoRa-based Wireless Sensors Network (WSN) for rockfall and landslide monitoring is an innovative solution designed for real-time, remote detection and early warning of geohazards, especially in challenging or inaccessible regions. LoRa (Long Range) communication technology enables the deployment of autonomous, low-power sensor nodes that can monitor key indicators of rockfall and landslide activity, such as soil moisture, ground tilt, temperature, rainfall, and vibration. These sensors are distributed in a star or mesh topology and communicate over long distances to a central gateway, which aggregates and transmits data to a server for analysis. The system allows rapid detection of critical ground movements, providing timely alerts and supporting mitigation efforts. Portable LoRa WAN-based assemblies powered by solar energy make these networks cost-effective and suitable for remote and rugged terrain. Real-world deployments have shown the feasibility of continuous data collection, energy efficiency, and reliable performance, enhancing safety and disaster preparedness in vulnerable areas. This approach makes use of dedicated hardware (such as HC12 modules and NodeMCU) and software platforms (like Arduino IDC, Nodejs), and is scalable for integration of weather and ground sensors. It facilitates effective disaster management by offering high accuracy and rapid response times even in areas without traditional communications infrastructure

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2510612

  Paper ID - 295589

  Page Number(s) - f184-f190

  Pubished in - Volume 13 | Issue 10 | October 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Dipalee Narayan Chavan,  Sushma Sakharam Gadekar,  Shaila Pandharinath Kharde,   "Landslide & Rockfall Monitoring System Using NodeMCU Sensor Node with LoRa Communication and Thingspeak IoT", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 10, pp.f184-f190, October 2025, Available at :http://www.ijcrt.org/papers/IJCRT2510612.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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