Machine Vision Optical Scanners for Landslide Monitoring

Machine Vision Optical Scanners for Landslide Monitoring

Javier Rivera Castillo (Autonomous University of Baja California, Mexico), Moises Rivas-Lopez (Universidad Autónoma de Baja California, Mexico), Wendy Flores-Fuentes (Universidad Autónoma de Baja California, Mexico), Oleg Sergiyenko (Universidad Autónoma de Baja California, Mexico), Julio Cesar Rodríguez-Quiñonez (Universidad Autónoma de Baja California, Mexico) and Daniel Hernandez-Balbuena (Autonomous University of Baja California, Mexico)
Copyright: © 2017 |Pages: 30
DOI: 10.4018/978-1-5225-0632-4.ch007


An application of landslide monitoring using optical scanner as vision system is presented. The method involves finding the position of non-coherent light sources located at strategic points susceptible to landslides. The position of the light source is monitored by measuring its coordinates using a scanner based on a 45° sloping surface cylindrical mirror. This chapter also provides a background about the concept of landslides and technologies for monitoring. finally, the results of experiments of position light source monitoring in laboratory environment using the proposed method are presented.
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Landslide is a term associated to downslope movements of rock, debris or earth under the influence of gravity, which may cover a wide range of spatial and temporal scales. Physical factors, human activities and natural environmental changes like earthquakes, volcanic activity, heavy rainfalls and changes in ground water are typical natural triggering mechanisms for landslides, which amplifies the inherent weakness in rock or soil (Savvaidis, 2003).

Landslides are a major hazard worldwide causing fatal disasters, property losses and degradation of the environment, so it is necessary to understand the mechanisms that triggers them. To understand the dynamics of the landslides it is necessary to monitor de surface displacements including accurate inventories of past slides, their location, extent, type and triggering mechanism (Kerle, Stump, & Malet, 2010). The magnitude, velocity and acceleration of displacements can provide an indication of the stability of the slope. These movements, if detected early enough, can indicate impeding catastrophic failure of a slope mass. (Savvaidis, 2003)

The long term monitoring of instability phenomena has become relatively inexpensive and affordable due to the recent technological growth in the field of data storage and transmitting. Measurements of landslide movements that integrate hydrological and geological data have greatly improved the knowledge of landslide mechanics and the integration of different techniques allows for a better understanding of this kind of phenomena and thus better protecting human settlements and infrastructures. (Anderson & Tallapally, 1996; Rentschler & Moser, 1996)

There are many landslide types depending on the slope movement and the type of terrain. Slope movement may be fall, topple, lateral spreading, slide and flow and the earth material could be rock or soil. In past decades, photograph sensors, including extensometers, in-place inclinometers, tiltmeters, pressure transducers and rain gauges, were used to landslides monitoring. However, researchers had several difficulties for accurate assessments and evaluations, monitoring times were long and the measurement process very expensive.

In this chapter a machine vision application to landslide monitoring tasks is presented. Machine vision is a new alternative that uses different optoelectronics devices to as vision systems; nowadays the most used devices include photograph and video cameras. However, Camera images are detailed and therefore contain a large amount of information. Our application uses an optical scanner with incoherent light emitter as vision system (Figure 14).

Figure 14.

Measurements angle and distance representation


The scanner used in this application was also proposed for structural health Monitoring tasks (Rentschler & Moser, 1996), (Rivas López, Flores Fuentes, Rivera Castillo, Sergiyenko, & Hernández Balbuena, 2013), but in this chapter we will show the advantages in landslide monitoring using incoherent light. Several position measurements were carried out with a laser emitter and incoherence light emitter. Position measurements were carried out during the scanning process moving the position of light emitter source from the nearest distance to the optical aperture sensor to the farthest position from the optical aperture sensor along the same angle line. Experiments show that with laser emitter, alignment difficulties were presented in all positions. When the laser emitter was moved to 10mm up, down, right or left, the light beam was not detected in the scanner aperture.

On the other hand, an incoherence light emitter was positioned to distances of 2m, 4m, 6m, and 8m. In each position the emitter was moved 10cm, 20cm, 50cm, to up, down, right and left and the light was detected in the scanner aperture without problem in all positions. In this way we opted to use optical scanning with incoherent light for measurements of coordinates and calculate displacements.

The Optical Scanner System (OSS) of this study consists of the following elements:

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