Abstract
Abstract. In this brief communication, we describe a case study about monitoring a soft-rock coastal cliff using webcams and a strain sensor, located in the Apulia region (southeastern Italy). In this urban and touristic area, coastal recession is extremely rapid and rockfalls are very frequent. Using low-cost and open-source hardware and software, we are monitoring the area, trying to correlate both meteorological information with measures obtained from the crack meter and webcams, aiming to recognize potential precursor signals that could be triggered by instability phenomena.
Highlights
We describe a case study about monitoring a soft-rock coastal cliff using webcams and a strain sensor, located in the Apulia region
Using low-cost and open-source hardware and software, we are monitoring the area, trying to correlate both meteorological information with measures obtained from the crack meter and webcams, aiming to recognize potential precursor signals that could be triggered by instability phenomena
The data indicate that the combination of frequently acquired digital images with local displacement measurements can provide useful information regarding the evolution of the rock cliff
Summary
Among the geo-hydrological instability phenomena that affect the Apulia region, the rockfall hazard affecting the coastal areas characterized by high cliffs formed from soft rocks is of high scientific interest, mainly due to the possible interaction with nearby infrastructures and urban areas The evolution of these cliffs and their collapse is well known among the scientific community (Sunamura, 1992; Adams et al, 2005; Stephenson and Naylor, 2010; Sansò et al, 2016; Fazio et al, 2019), but currently there are no consolidated methods concerning the monitoring of these phenomena with a spatial and temporal resolution suitable for prediction and alerting purposes. Laboratory testing carried out by the authors on rock samples taken from the study area (or of the same typology) has confirmed that even
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