| Machine learning ensemble modelling as a tool to improve landslide susceptibility mapping reliability M Di Napoli, F Carotenuto, A Cevasco, P Confuorto, D Di Martire, M Firpo, ... Landslides 17 (8), 1897-1914, 2020 | 182 | 2020 |
| Comparison between Differential SAR interferometry and ground measurements data in the displacement monitoring of the earth-dam of Conza della Campania (Italy) D Di Martire, R Iglesias, D Monells, G Centolanza, S Sica, M Ramondini, ... Remote sensing of environment 148, 58-69, 2014 | 109 | 2014 |
| Slow-moving landslide risk assessment combining Machine Learning and InSAR techniques A Novellino, M Cesarano, P Cappelletti, D Di Martire, M Di Napoli, ... Catena 203, 105317, 2021 | 103 | 2021 |
| Post-failure evolution analysis of a rainfall-triggered landslide by multi-temporal interferometry SAR approaches integrated with geotechnical analysis P Confuorto, D Di Martire, G Centolanza, R Iglesias, JJ Mallorqui, ... Remote sensing of environment 188, 51-72, 2017 | 92 | 2017 |
| Landslide hazard and land management in high-density urban areas of Campania region, Italy D Di Martire, M De Rosa, V Pesce, MA Santangelo, D Calcaterra Natural Hazards and Earth System Sciences 12 (4), 905-926, 2012 | 82 | 2012 |
| Landslide detection integrated system (LaDIS) based on in-situ and satellite SAR interferometry measurements D Di Martire, S Tessitore, D Brancato, MG Ciminelli, S Costabile, ... Catena 137, 406-421, 2016 | 80 | 2016 |
| Multisource data integration to investigate one century of evolution for the Agnone landslide (Molise, southern Italy) M Del Soldato, A Riquelme, S Bianchini, R Tomás, D Di Martire, P De Vita, ... Landslides 15, 2113-2128, 2018 | 79 | 2018 |
| A nation-wide system for landslide mapping and risk management in Italy: The second Not-ordinary Plan of Environmental Remote Sensing D Di Martire, M Paci, P Confuorto, S Costabile, F Guastaferro, A Verta, ... International journal of applied earth observation and geoinformation 63 …, 2017 | 73 | 2017 |
| Application of DInSAR Technique to High Coherence Sentinel-1 Images for Dam Monitoring and Result Validation Through In Situ Measurements SL Ullo, P Addabbo, D Di Martire, S Sica, N Fiscante, L Cicala, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 72 | 2019 |
| From ERS-1/2 to Sentinel-1: Two decades of subsidence monitored through A-DInSAR techniques in the Ravenna area (Italy) S Fiaschi, S Tessitore, R Bonì, D Di Martire, V Achilli, S Borgstrom, ... GIScience & Remote Sensing 54 (3), 305-328, 2017 | 63 | 2017 |
| Landslide susceptibility assessment of wildfire burnt areas through earth-observation techniques and a machine learning-based approach M Di Napoli, P Marsiglia, D Di Martire, M Ramondini, SL Ullo, ... Remote Sensing 12 (15), 2505, 2020 | 61 | 2020 |
| A new approach for landslide-induced damage assessment M Del Soldato, S Bianchini, D Calcaterra, P De Vita, DD Martire, R Tomás, ... Geomatics, Natural Hazards and Risk 8 (2), 1524-1537, 2017 | 59 | 2017 |
| Rainfall-induced shallow landslide detachment, transit and runout susceptibility mapping by integrating machine learning techniques and GIS-based approaches M Di Napoli, D Di Martire, G Bausilio, D Calcaterra, P Confuorto, M Firpo, ... Water 13 (4), 488, 2021 | 54 | 2021 |
| A-differential synthetic aperture radar interferometry analysis of a deep seated gravitational slope deformation occurring at Bisaccia (Italy) D Di Martire, A Novellino, M Ramondini, D Calcaterra Science of the Total Environment 550, 556-573, 2016 | 53 | 2016 |
| The Neapolitan Yellow Tuff: an outstanding example of heterogeneity A Colella, C Di Benedetto, D Calcaterra, P Cappelletti, M D'Amore, ... Construction and Building Materials 136, 361-373, 2017 | 52 | 2017 |
| Monitoring of remedial works performance on landslide-affected areas through ground-and satellite-based techniques P Confuorto, D Di Martire, D Infante, A Novellino, R Papa, D Calcaterra, ... Catena 178, 77-89, 2019 | 50 | 2019 |
| Combining field data with infrared thermography and DInSAR surveys to evaluate the activity of landslides: The case study of Randazzo Landslide (NE Sicily) G Pappalardo, S Mineo, AC Angrisani, D Di Martire, D Calcaterra Landslides 15, 2173-2193, 2018 | 50 | 2018 |
| Assessment of building behavior in slow-moving landslide-affected areas through DInSAR data and structural analysis D Infante, D Di Martire, P Confuorto, S Tessitore, R Tòmas, D Calcaterra, ... Engineering Structures 199, 109638, 2019 | 47 | 2019 |
| The use of satellite data to support the structural health monitoring in areas affected by slow-moving landslides: a potential application to reinforced concrete buildings A Miano, A Mele, D Calcaterra, DD Martire, D Infante, A Prota, ... Structural Health Monitoring 20 (6), 3265-3287, 2021 | 41 | 2021 |
| Assessment of landslide-induced damage to structures: the Agnone landslide case study (southern Italy) M Del Soldato, D Di Martire, S Bianchini, R Tomás, P De Vita, ... Bulletin of Engineering Geology and the Environment 78, 2387-2408, 2019 | 41 | 2019 |
