LANDSLIDE MONITORING AND NOTIFICATION USING IOT
ABSTARCT : Hazards from landslides are everywhere. Landslides are more likely to occur on steeply sloped hillsides. For several case studies throughout the globe, researchers have performed landslide prediction, detection, and monitoring.
The major goal of researching landslide detection is to stop natural disasters by seeing their early movement. This will lessen or prevent the landslide's fatalities among humans.
Finding a method for the sensing components to react promptly to data changes and transmit the perceived data to the data analysis centre is another goal.
The Wireless Sensor Network (WSN) and the Internet of Things serve as the foundation for the Implemented system (IoT).
This technology is inexpensive, reliable, and delay-effective. The suggested system makes use of accelerometer and soil moisture sensors.
While the accelerometer measures ground movement, moisture sensor data reveal the amount of moisture in the soil. The measurements that exceed the established criteria warn nearby residents to take precautions
In this paper, multisource remote sensing images acquired after the earthquake were used to map landslides, referred to the existing inventory from as shown
The landslides were mapped as polygons that separately document source areas and runout areas, based on image and topographic features .
Only the initiation areas were set as samples for model training and testing.
This method is based on mathematical computation, with the capability to solve physical problems with complex geometries, material properties, and boundary conditions, and it is suitable for critical projects researching the stability of artificial slopes .
Many studies have indicated that a different group of factors influences the occurrence of EQIL, i.e., identifying EQIL could be considered as a multivariate inverse inference problem,
displays the suggested system's block diagram. Sensor nodes, a controller at the landslide site, and an ESP32 at the monitoring station make up the system.
To fully cover a region, often many sensor nodes are required. All of these sensors gather data on the criteria used to monitor landslides, including tilt angle, soil moisture, and displacement.
The suggested system makes use of a 3.3 to 5 V soil moisture sensor. It contains two plates that measure the soil's water content. The electric current flowing across the plates varies in direct proportion to the water content. More moisture surrounding the sensor causes it to draw more current, which reduces output resistance and lowers the output voltage.
we used high-resolution remote sensing images and a digital elevation model (DEM) to extract the source area of an EQIL.
Previously, field investigation has been commonly used to obtain an EQIL inventory, but it is time consuming and incomplete in some remote and inaccessible places.
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