Abstract
ABSTRACTThe main advantage of using the Unmanned Aerial Vehicle (UAV) photogrammetry in a post-earthquake scenario is the ability to completely document the state of the structures and infrastructures, damaged by the earthquake, ensuring the safety of all operators during the data acquisition activities. The safety and accessibility aspect in the area is of crucial concern after an earthquake and sometimes many areas may be inaccessible, but, at the same time, it is necessary to collect data in order to monitor and evaluate the damage. The development of new algorithms in the field of Computer Vision drastically improved the degree of automation of the 3D point clouds generation using the photogrammetry techniques. In addition, data acquisition techniques using the UAV allow a complete 3D model with the highest possible resolution especially with respect to the conventional satellite or aerial photogrammetry to be produced. These advantages make the UAV photogrammetry highly suitable for surveys in a geo-hazard context as in a post-earthquake scenario. Some results from surveys carried out with the UAV photogrammetry after L'Aquila Earthquake occurred in 2009 will be presented and discussed.
Highlights
The 6.3 moment magnitude earthquake occurred on 6 April 2009, in L’Aquila (Central Italy), causing 309 deaths and more than 1600 injuries
The main advantage of using the Unmanned Aerial Vehicle (UAV) photogrammetry in a post-earthquake scenario is the ability to completely document the state of the structures and infrastructures, damaged by the earthquake, ensuring the safety of all operators during the data acquisition activities
Concerning the precision, table 3 contains the residual values of bundle adjustments considering both ground control points (GCPs) and check points (CPs), subdivided by case study, and the different distribution combinations as described in the previous section
Summary
The 6.3 moment magnitude earthquake occurred on 6 April 2009, in L’Aquila (Central Italy), causing 309 deaths and more than 1600 injuries. Once the first phase of the relief operation was complete, it was necessary to perform a dedicated and extensive survey of the structures and infrastructures to properly evaluate the level of damage caused by the earthquake. This phase is extremely complex, especially in an historical city where the buildings are generally highly vulnerable and access is often neglected by narrow and potentially very dangerous streets. Detailed survey of structures and infrastructures, useful for the following reconstruction phase, the Unmanned Aerial Vehicle (UAV) photogrammetry technique is more suitable (Xu et al 2014). The results of direct field experiences are presented and discussed
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