Landslide Susceptibility Maps in the Rock Slopes of the Ventotene Island (Latium, Italy)

Caso, Ivano; d’Angelo, Raffaele; Palma, Biagio; Parise, Mario; Ruocco, Anna

doi:10.1007/978-3-319-09057-3_163

Cited by 2 publications

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Landslides are one of the most frequent geohazards in Europe and can severely impact coastal areas [1][2][3][4][5][6][7][8]. In particular, landslides are common along the European coasts of the Mediterranean Sea and can include different types of transport mechanisms such as falls, slides, spreads, or flows [9][10][11][12][13][14]. Among these, lateral spreading and block sliding processes are widely represented in the Mediterranean coasts, such as in northern Mallorca (Spain) [15], in the western part of Liguria (Northern Italy) [16], Tropea area (Southern Italy) [17], Scopello in northern Sicily [18] and in the Maltese islands [14,19,20].…”

Section: Introductionmentioning

confidence: 99%

Advantages of Using UAV Digital Photogrammetry in the Study of Slow-Moving Coastal Landslides

et al. 2020

View full text Add to dashboard Cite

The aim of this study is to demonstrate the advantages of using micro drones in the study of large slow-moving landslides, which are widespread along the northwestern coast of Malta. In particular, attention was given to the inventory and analysis of gravity-induced joints and megaclast deposits at four study sites selected due to the presence of remarkable examples of lateral spreads evolving into block slides. The research was carried out by means of Google Earth (GE) image analysis and uncrewed aerial vehicle digital photogrammetry (UAV-DP). UAV-DP outputs enabled the identification and characterization of tens of persistent joints (locally exceeding 150 m) and permitted the size categorization of thousands of blocks. With reference to gravity-induced joints, a favorable agreement was found between existing datasets (mainly based on the integration of GE analysis and field survey) and UAV-DP outputs in terms of the identification of joints and their persistence. Conversely, the use of the UAV-DP technique showed significant advantages in terms of joint aperture determination (even exceeding 1 m) and distribution setting. Regarding the extensive megaclast deposits, UAV-DP enabled the identification of 8943 individuals which, compared with the 5059 individuals identified by GE analysis, showed an increase in the total population of 76%. This is related to the high accuracy of DP-derived orthomosaics and 3D models, which are particularly useful for identifying detached blocks. The inexpensive technique used in this research highlights its potential for being extended to other rocky coastal areas affected by slow-moving landslides.

show abstract