); [EMAIL_ADDRESS] (D.D.M.) [PERSON] Di Martire  
1 Department of Earth Sciences, Environment, and Resources, University of Naples Federico II, Via Cintia 21, 80126 Napoli, Italy; [EMAIL_ADDRESS] (M.A.K. ); [EMAIL_ADDRESS] (C.D.M. ); [EMAIL_ADDRESS] (S.P.Z. ); [PERSON] (D.D.M.) Di Matire  
1 Department of Earth Sciences, Environment, and Resources, University of Naples Federico II, Via Cintia 21, 80126 Napoli, Italy; [EMAIL_ADDRESS] (M.A.K. ); [EMAIL_ADDRESS] (C.D.M. ); [EMAIL_ADDRESS] (S.P.Z. ); [EMAIL_ADDRESS] (D.D.M.) [PERSON]  
1 Department of Earth Sciences, Environment, and Resources, University of Naples Federico II, Via Cintia 21, 80126 Napoli, Italy; [EMAIL_ADDRESS] (M.A.K. ); [EMAIL_ADDRESS] (C.D.M. ); [EMAIL_ADDRESS] (S.P.Z. ); [PERSON] (D.D.M.) [PERSON]  
1 Department of Earth Sciences, Environment, and Resources, University of Naples Federico II, Via Cintia 21, 80126 Napoli, Italy; [EMAIL_ADDRESS] (M.A.K. ); [EMAIL_ADDRESS] (C.D.M. ); [EMAIL_ADDRESS] (S.P.Z. ); [EMAIL_ADDRESS] (D.D.M.) [PERSON]  
1 Department of Earth Sciences, Environment, and Resources, University of Naples Federico II, Via Cintia 21, 80126 Napoli, Italy; [EMAIL_ADDRESS] (M.A.K. ); [EMAIL_ADDRESS] (C.D.M. ); [EMAIL_ADDRESS] (S.P.Z. ); [PERSON] (D.D.M.) [PERSON] Di Martire  
1 Department of Earth Sciences, Environment, and Resources, University of Naples Federico II, Via Cintia 21, 80126 Napoli, Italy; [EMAIL_ADDRESS] (M.A.K. ); [EMAIL_ADDRESS] (C.D.M. ); [EMAIL_ADDRESS] (S.P.Z. ); [EMAIL_ADDRESS] (D.D.M.) Diggo Di Martire
direct measurements of slope deformation, providing valuable insights into the behavior of specific areas within a landslide [10; 11; 12]. Remote sensing approaches, including optical and radar satellite imagery, can cost-effectively cover vast areas, allowing for regional-scale landslide assessment and detection of changes over time [13]. Numerical modeling, encompassing limit equilibrium and finite element models, can help researchers better understand the underlying processes governing slope behavior and predict potential future movements or failure scenarios [14; 15]. DInSAR analysis, as employed in this study, combines high-precision detection and monitoring of surface deformations with the ability to cover large areas, making it an increasingly valuable tool for identifying and tracking landslide activity [16; 17]. Furthermore, DInSAR can be used to obtain data from areas that are difficult to access or too dangerous for field-based monitoring, increasing the safety of landslide studies [18]. Despite their advantages, the existing methods for landslide monitoring also have certain limitations. Field-based monitoring techniques, such as inclinometers and extensometers, are limited in spatial coverage, and their installation and maintenance can be expensive and time-consuming. Remote sensing approaches, such as optical satellite imagery, can be affected by factors such as cloud cover, atmospheric conditions, and vegetation cover, which may hinder the accurate detection and monitoring of landslides [19]. In the case of radar satellite imagery, such as those used in DInSAR analysis, atmospheric disturbances and the need for stable ground control points may pose challenges. Numerical modeling techniques rely on the quality of input data and the assumptions made during the model setup, which could potentially impact the accuracy of their predictions [20]. It is essential to carefully consider each method's specific advantages and limitations when selecting the most appropriate technique for landslide monitoring and assessment. In this study, the village of San Marco dei Cavoti [21] and its immediate vicinity have been the object of a Differential Interferometry SAR (DInSAR) analysis, a powerful remote sensing technique that allows high-precision detection and monitoring of surface deformations that is being used in different fields: subsidence or uplift [22; 23; 24], sinkholes [25; 26], slope processes [16; 17], and monitoring of buildings [27; 28; 29].