Abstract
Landslides are one of the most frequent deformations in the shallow layers of the Earth and have very important social and economic consequences. It is one of the more hazardous natural risks. At present landslide knowledge and modelling are an interesting research line in order to establish the susceptibility of a certain zone to be affected by one of these processes. In this kind of studies, it is also very important to establish the conditioning factors that produce these phenomena and the foresight (prediction) of when they are going to act and its effects.
An optimum susceptibility model must be based in both the quality of the model and the quality of the input information. In this way the reliability of the entrance information in the model of susceptibility is guaranteed. This is the basic objective of this project that has given rise to this work (the FODISPIL project): the capture of very high quality information for application in landslide susceptibility maps generation using aerial digital photogrammetric techniques.
In this work, the preliminaries results derived from the aforementioned project are presented. These results are basically an input information quality improvement thanks to the use of ad-hoc large scale photogrammetric colour and infrared flights (1/5000 and larger), a best humid areas localization using colour infrared films (that reveal the hydric stress of the vegetation in a determinate area), as well as the use of historical photographs in order to increment the historical record of processes that allow a more rigorous temporal analysis of the conditioning factors (for example, human effects), premonitory features and processes.
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References
Ayala-Carcedo, F.J., (1994). Socioeconomic impacts and vulnerability resulting from slope movements. In: Proc. of the US-Spain Workshop on Natural Hazards. Corominas & Georgakakos (eds), Iowa University, pp 235–254.
Brabb, E.E. and B. Harrods, (1989). Landslides: Extent and Economic Significance. Balkema, Rotterdam.
Kennedy, B. A. and K. E. Niermeyer (1971). Slope monitoring systems used in the prediction of a major slope failure at the Chuquicamata Mine, Chile. Planning Open Pit Mines Symp., Johannesburg, Balkema, Rotterdam, pp. 215–225.
Kiersch, G.A. (1964). Vaiont Reservoir Disaster. ACSE Civil Engineering, March, pp. 32–37.
Murtha, P.A. and Wiart, R.J. (1989). Cluster analysis of pine crown foliage patterns air identification of mountain pine beetle current attack. Photogrammetric Engineering & Remote Sensing, 55, pp. 83–86.
Schuster, R.L. (1996). Socioeconomic Significance of Landslides. In: Landslides. Investigation and Mitigation. Turner & Schuster (eds), Transportation Research Board, Special Report 247, National Academy Press, Washington DC.
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© 2006 Springer-Verlag Berlin Heidelberg
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Cardenal, J. et al. (2006). Aerial Digital Photogrammetric Monitoring for Landslide Susceptibility Mapping. In: Sansò, F., Gil, A.J. (eds) Geodetic Deformation Monitoring: From Geophysical to Engineering Roles. International Association of Geodesy Symposia, vol 131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-38596-7_32
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DOI: https://doi.org/10.1007/978-3-540-38596-7_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-38595-0
Online ISBN: 978-3-540-38596-7
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