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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 6, ISSUE 9, SEPTEMBER 2017

Landslide Detection

Shrishti Kanchan, Juhi Naushin Shaikh, Hiba Shakeel, Mansi Nachankar, Prof. Sonali K. Suryawanshi

DOI: 10.17148/IJARCCE.2017.6945

Abstract: Landslide monitoring is based on geotechnical instrumentations using, for examples ultrasonic sensors, water level sensors, vibration sensors, accelerometer, inclinometer, rainfall sensor, or. However, cable based monitoring systems are costly, require continuous maintenance, and are limited in their communication flexibility. To overcome these limitations, wireless sensor networks and Internet of things are a viable alternative technology. State-of the-art wireless landslide monitoring systems collect environmental data from the slope and transfer it to connected computer systems for persistent storage. It monitors and detects the landslide and alert people from landslide hazards through android app.



Keywords: Landslide, Arduino, IOT, Rainfall, Sensors.

How to Cite:

[1] Shrishti Kanchan, Juhi Naushin Shaikh, Hiba Shakeel, Mansi Nachankar, Prof. Sonali K. Suryawanshi, “Landslide Detection,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.6945