Abstract
In the last decade, the combination of rapid development of low cost and small Unmanned Aerial Vehicles (UAVs), improved battery technology and conventional sensors (Optical and LiDAR) in terms of cost and dimensions, led to new opportunities in environmental remote-sensing and 3D surface modelling. A long term monitoring campaign was performed in Ricasoli village, in the Upper Arno river Valley (Tuscany, Italy), to understand the possibility of this rising technology to characterize and to monitor landslides. The RGB and multispectral imageries were analyzed and combined using SfM (Structure from Motion) software, in order to obtain high resolution orthomosaics, point clouds and 3D digital terrain models (DTM). The comparative analysis of the obtained DTMs allowed a very accurate reconstruction and mapping of the detected landslides. The collected data also allowed to precisely detect some slope portions prone to failure and to evaluate the area and volume of the involved masses as well as displacement rates.
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Acknowledgements
This work was carried out to evaluate the potentialities of the new Saturn drone, entirely designed and developed at the Department of Earth Sciences of the University of Florence. Among the personnel of the department, authors want to gratefully thank Gabriele Scaduto and Teresa Salvatici for the logistic support during the surveys in Ricasoli. Moreover, heartfelt thanks to Massimiliano Nocentini and Luca Lombardi, for the precious historical information about slope instability in Ricasoli.
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Tanteri, L., Rossi, G., Tofani, V., Vannocci, P., Moretti, S., Casagli, N. (2017).
Multitemporal UAV Survey for Mass Movement Detection and Monitoring.
In: Mikos, M., Tiwari, B., Yin, Y., Sassa, K. (eds) Advancing Culture of Living with Landslides. WLF 2017. Springer, Cham. https://doi.org/10.1007/978-3-319-53498-5_18
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DOI: https://doi.org/10.1007/978-3-319-53498-5_18
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