Automated Detection of Recent Mud Extrusions Using UAV Imagery and Deep Learning: A Comparative Analysis of Traditional and CNN-Based Approaches

We use uncrewed-aerial-system-derived optical and infrared data, mineralogical and geochemical analyses of rock samples, and surface degassing measurements to analyze degassing and hydrothermal alteration at the fumaroles of the La Fossa cone, Vulcano island, Italy. We give a detailed view of associated structures and dynamics, such as local alteration gradients, diffuse active units that significantly contribute to the total activity, or effects of permeability reduction and surface sealing. 

Santa Barbara and Aragona are affected by mud volcanism with episodic hazardous paroxysm events. Two potentially hazardous paroxysm exposed surfaces of 0.12 and 0.20 km² were elaborated with DSMs and with historical information on the paroxysms that occurred in the past. This paper, in the end, could be a useful tool for civil protection authorities in order to take appropriate risk mitigation measurements for exposed people and for monitoring activities.

Immediately after an earthquake it is crucial to perform the fastest recognition of the damaged area to rescue as much people is possible and to assess and map the damage scenario. We apply the vehicle routing problem (VRP) to a fleet of unmanned aerial vehicles (UAVs) to find the shortest routes and the best take-off sites. The simulation, performed with different autonomy ranges, is carried out in the town of Acireale (Italy), where a real-time accelerometric network has been installed.