The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XL-5/W3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W3, 131–137, 2013
https://doi.org/10.5194/isprsarchives-XL-5-W3-131-2013
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W3, 131–137, 2013
https://doi.org/10.5194/isprsarchives-XL-5-W3-131-2013
 
07 Jan 2014
07 Jan 2014

MONITORING OF LANDSLIDES WITH MASS MARKET GPS: AN ALTERNATIVE LOW COST SOLUTION

A. Cina, M. Piras, and H. I. Bendea A. Cina et al.
  • Politecnico di Torino – DIATI, 10129 Turin, Italy

Keywords: Low cost, GNSS, Virtual RINEX, Network RTK, deformation monitoring

Abstract. The territory of Italy is seriously afflicted by hydrological risk, with 82% of its area affected by this phenomenon.

In recent years, technologies and advanced research have played an important role in realizing complex automatic systems devoted to landslide monitoring and to alerting the population. Sometimes, the cost of these systems (communications network, sensors, software, technologies) prevents their use, and in particular the cost of sensors has a large impact on the final investment. For example, geodetic GNSS receivers are usually employed to conduct landslide monitoring, but they are costly.

Nowadays, new technologies make it possible to use small and efficient low cost single frequency GPS receivers, which are able to achieve a centimetric or better level of accuracy, in static positioning. The rapid development and diffusion of the GNSS network to provide a positioning service has made it possible to use single frequency receivers, thanks to the use of virtual RINEX. This product is generated by a network of permanent stations.

In this research, the actual performance of a mass market GPS receiver was tested, with the purpose of verifying if these sensors can be used for landslide monitoring. A special slide was realized, in order to conduct a dedicated test of the detection of displacements. Tests were carried out considering two factors: acquisition time and distance from the Virtual Station. The accuracy and precision of movement determination were evaluated and compared, for each test, considering the different factors. The tests and results are described in this contribution.