23 October 2014 A reliable methodology for monitoring unstable slopes: the multi-platform and multi-sensor approach
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High resolution topography, by involving Digital Terrain Models (DTMs) and further accurate techniques for a proper displacement identification, is a valuable tool for a good and reliable description of unstable slopes. By comparing multitemporal surveys, the geomorphology of a landslide may be analyzed as well as the changes over time, the volumes transportation and the boundaries evolution. Being aware that a single technique is not sufficient to perform a reliable and accurate survey, this paper discusses the use of multi-platform, multi-source and multi-scale observations (both in terms of spatial scale and time scale) for the study and monitoring of unstable slopes. The final purpose is to highlight and validate a methodology based on multiple sensors and data integration, useful to obtain a comprehensive GIS (Geographic Information System) which can successfully be used to manage natural disasters or to improve the knowledge of a specific phenomenon in order to prevent and mitigate the hydro-geological risk. The novelty of the present research lies in the spatial integration of multiple remote sensing techniques such as: integration of Airborne Laser Scanning (ALS) and Terrestrial Laser Scanning (TLS) to provide a comprehensive and accurate surface description (DTM) at a fixed epoch (spatial continuity); continuous monitoring by means of spatial integration of Automated Total Station (ATS) and GNSS (Global Navigation Satellite System) to provide accurate surface displacement identification (time continuity). Discussion makes reference to a rockslide located in the northern Apennines of Italy from 2010 to 2013.
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Cristina Castagnetti, Cristina Castagnetti, Eleonora Bertacchini, Eleonora Bertacchini, Alessandro Corsini, Alessandro Corsini, Riccardo Rivola, Riccardo Rivola, "A reliable methodology for monitoring unstable slopes: the multi-platform and multi-sensor approach", Proc. SPIE 9245, Earth Resources and Environmental Remote Sensing/GIS Applications V, 92450J (23 October 2014); doi: 10.1117/12.2067407; https://doi.org/10.1117/12.2067407

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