| Nome |
# |
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PSInSAR Analysis in the Pisa Urban Area (Italy): A Case Study of Subsidence Related to Stratigraphical Factors and Urbanization, file e398c37a-198f-179a-e053-3705fe0a4cff
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372
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The Costa Concordia last cruise: The first application of high frequency monitoring based on COSMO-SkyMed constellation for wreck removal, file e398c37a-1f6a-179a-e053-3705fe0a4cff
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308
|
|
Multi-temporal evaluation of landslide movements and impacts on buildings in San Fratello (Italy) by means of C-band and X-band PSI data, file e398c378-f437-179a-e053-3705fe0a4cff
|
250
|
|
Mapping landslide phenomena in landlocked developing countries by means of satellite remote sensing data: the case of Dilijan (Armenia) area, file e398c37a-7a7b-179a-e053-3705fe0a4cff
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248
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Landslide susceptibility map refinement using PSInSAR data, file e398c37a-74a8-179a-e053-3705fe0a4cff
|
236
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A Sentinel-1 based hot-spot analysis: landslide mapping in north-western Italy, file e398c37e-53b6-179a-e053-3705fe0a4cff
|
217
|
|
Exploitation of amplitude and phase of satellite SAR images for landslide mapping: the case of Montescaglioso (South Italy), file e398c379-821c-179a-e053-3705fe0a4cff
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202
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Remote sensing as tool for development of landslide databases: The case of the Messina Province (Italy) geodatabase, file e398c379-8220-179a-e053-3705fe0a4cff
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198
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The Maoxian landslide as seen from space: detecting precursors of failure with Sentinel-1 data, file e398c37c-ea0c-179a-e053-3705fe0a4cff
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195
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Monitoring ground instabilities using SAR satellite data: a practical approach, file e398c37e-1cb4-179a-e053-3705fe0a4cff
|
191
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|
Combination of GNSS, satellite InSAR, and GBInSAR remote sensing monitoring to improve the understanding of a large landslide in high alpine environment, file e398c37e-40f6-179a-e053-3705fe0a4cff
|
186
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Perspectives on the prediction of catastrophic slope failures from satellite InSAR, file e398c37e-e197-179a-e053-3705fe0a4cff
|
186
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Synergic use of satellite and ground based remote sensing methods for monitoring the San Leo rock cliff (Northern Italy), file e398c37a-8b5a-179a-e053-3705fe0a4cff
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177
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Continuous, semi-automatic monitoring of ground deformation using Sentinel-1 satellites, file e398c37d-a4c0-179a-e053-3705fe0a4cff
|
176
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|
Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning, file e398c37c-45dd-179a-e053-3705fe0a4cff
|
162
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Space-borne and ground-based InSAR data integration: The Åknes test site, file e398c37a-f679-179a-e053-3705fe0a4cff
|
161
|
|
Persistent Scatterer Interferometry (PSI) technique for landslide characterization and monitoring, file e398c378-e1d6-179a-e053-3705fe0a4cff
|
159
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|
The effectiveness of high-resolution LiDAR data combined with PSInSAR data in landslide study, file e398c37a-5c33-179a-e053-3705fe0a4cff
|
150
|
|
Review of satellite interferometry for landslide detection in Italy, file e398c37f-c06c-179a-e053-3705fe0a4cff
|
150
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The contribution of satellite SAR-derived displacement measurements in landslide risk management practices, file e398c37c-6347-179a-e053-3705fe0a4cff
|
147
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|
Ground Subsidence Susceptibility (GSS) mapping in Grosseto plain (Tuscany, Italy) based on satellite InSAR data using frequency ratio and fuzzy logic, file e398c37e-9883-179a-e053-3705fe0a4cff
|
144
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Persistent scatterers continuous streaming for landslide monitoring and mapping: the case of the Tuscany region (Italy), file e398c37e-e34e-179a-e053-3705fe0a4cff
|
144
|
|
Using satellite interferometry to infer landslide sliding surface depth and geometry, file e398c37f-b33c-179a-e053-3705fe0a4cff
|
142
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|
The COSMO-SkyMed constellation monitors the costa concordia wreck, file e398c378-f383-179a-e053-3705fe0a4cff
|
141
|
|
A simple method to help determine landslide susceptibility from spaceborne InSAR data: the Montescaglioso case study, file e398c37c-2933-179a-e053-3705fe0a4cff
|
140
|
|
Ground deformation and associated hazards in NW peloponnese (Greece), file e398c37d-6db9-179a-e053-3705fe0a4cff
|
139
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|
From ERS 1/2 to Sentinel-1: subsidence monitoring in Italy in the last two decades, file e398c37d-c863-179a-e053-3705fe0a4cff
|
133
|
|
Landslide-induced damage probability estimation coupling InSAR and field survey data by fragility curves, file e398c37e-13af-179a-e053-3705fe0a4cff
|
131
|
|
Satellite radar data for back-analyzing a landslide event: the Ponzano (Central Italy) case study, file e398c37d-a13c-179a-e053-3705fe0a4cff
|
124
|
|
Advanced interpretation of land subsidence by validating multi-interferometric SAR data: the case study of the Anthemountas basin (Northern Greece), file e398c378-e373-179a-e053-3705fe0a4cff
|
120
|
|
Semi-Automatic identification and pre-screening of geological–geotechnical deformational processes using persistent scatterer interferometry datasets, file e398c37e-2a02-179a-e053-3705fe0a4cff
|
117
|
|
A Sentinel-1-based clustering analysis for geo-hazards mitigation at regional scale: a case study in Central Italy, file e398c37e-f1c1-179a-e053-3705fe0a4cff
|
117
|
|
Unsupervised detection of InSAR time series patterns based on PCA and K-means clustering, file 8a7b58fc-ecdf-43a6-9dac-13c79d7fa08f
|
112
|
|
Monitoring the rapid-moving reactivation of earth flows by means of GB-InSAR: The April 2013 Capriglio Landslide (Northern Appennines, Italy), file e398c37b-98d3-179a-e053-3705fe0a4cff
|
109
|
|
Combined use of C-and X-Band SAR data for subsidence monitoring in an urban area, file e398c37c-0264-179a-e053-3705fe0a4cff
|
109
|
|
Vulnerability assessment of buildings due to land subsidence using InSAR data in the ancient historical city of Pistoia (Italy), file e398c37f-895a-179a-e053-3705fe0a4cff
|
94
|
|
Subsidence evolution of the Firenze–Prato–Pistoia plain (Central Italy) combining PSI and GNSS data, file e398c37d-a453-179a-e053-3705fe0a4cff
|
79
|
|
Satellite InSAR as a new tool for the verification of landslide engineering remedial works at the regional scale: A case study in the Three Gorges Resevoir area, China, file e398c37f-ed59-179a-e053-3705fe0a4cff
|
77
|
|
Linee Guida per il monitoraggio delle frane. Dei Cas L.; Trigila A.; Iadanza C. (eds), file e398c381-e605-179a-e053-3705fe0a4cff
|
70
|
|
Sentinel-1-based monitoring services at regional scale in Italy: State of the art and main findings, file e398c381-30dd-179a-e053-3705fe0a4cff
|
69
|
|
Regional recognition and classification of active loess landslides using two-dimensional deformation derived from Sentinel-1 Interferometric Radar data, file e398c37f-b529-179a-e053-3705fe0a4cff
|
66
|
|
A new set of tools for the generation of InSAR visibility maps over wide areas, file e398c381-3613-179a-e053-3705fe0a4cff
|
61
|
|
Landlside back monitoring and forecasting by using PSInSAR: technique: the case of Naso (Sicily, southern Italy), file e398c37a-7b20-179a-e053-3705fe0a4cff
|
38
|
|
How can landslide risk maps be validated? Potential solutions with open-source databases, file 55c8baf2-fdb6-4ac0-b35d-6170580d6bb5
|
36
|
|
Automated classification of A-DInSAR-based ground deformation by using random forest, file 1a9a6d69-7b42-436b-8902-87f9a3110050
|
33
|
|
The rapid moving Capriglio earth flow (Parma Province, North Italy): multi-temporal mapping and GB-InSAR monitoring, file e398c37c-5d52-179a-e053-3705fe0a4cff
|
27
|
|
A methodological approach of QRA for slow-moving landslides at a regional scale, file e398c382-3b10-179a-e053-3705fe0a4cff
|
27
|
|
Ground deformation and associated risk in the Gulf of Corinth (Greece), file e398c37c-5bfa-179a-e053-3705fe0a4cff
|
21
|
|
Multi-band satellite radar data for landslide events management: an example from Central Italy, file e398c37d-cdf9-179a-e053-3705fe0a4cff
|
12
|
|
Sentinel-1 P-SBAS data for the update of the state of activity of national landslide inventory maps, file 55e71748-834a-41c0-ab5a-d783611cd1b8
|
10
|
|
Perspectives on the prediction of catastrophic slope failures from satellite InSAR, file e398c37f-2800-179a-e053-3705fe0a4cff
|
9
|
|
Landslide mapping using SqueeSAR data: Giampilieri (Italy) case study, file e398c378-fc26-179a-e053-3705fe0a4cff
|
5
|
|
Subsidence mapping, characterization, and modeling: the ESA-GMES Terrafirma services, file e398c379-1e79-179a-e053-3705fe0a4cff
|
4
|
|
The landslide geodatabase of the Messina Province: a tool in the civil protection emergency cycle, file e398c379-4fda-179a-e053-3705fe0a4cff
|
3
|
|
Landslide detection, monitoring and prediction with remote-sensing techniques, file 27f4fae8-5498-4710-82ee-41dcd1146823
|
2
|
|
Review of satellite radar interferometry for subsidence analysis, file bb3e6217-6c59-4d24-9efa-03a4379a42d3
|
2
|
|
Unsustainable use of groundwater resources in agricultural and urban areas: a persistent scatterer study of land subsidence at the basin scale, file e398c378-b48d-179a-e053-3705fe0a4cff
|
2
|
|
Updated landslide inventory of the area between the Furiano and Rosmarino creeks (Sicily, Italy), file e398c379-afa9-179a-e053-3705fe0a4cff
|
2
|
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Landslide inventory map for the Briga and the Giampilieri catchments, NE Sicily, Italy, file e398c378-dd35-179a-e053-3705fe0a4cff
|
1
|
|
Advanced interpretation of interferometric SAR data to detect, monitor and model ground subsidence: outcomes from the ESA-GMES Terrafirma project, file e398c37a-eb27-179a-e053-3705fe0a4cff
|
1
|
|
PS continuous streaming for landslide monitoring and mapping, file e398c37c-751e-179a-e053-3705fe0a4cff
|
1
|
|
Monitoring and early warning systems: Applications and perspectives, file e398c381-127f-179a-e053-3705fe0a4cff
|
1
|
|
Sentinel-1 InSAR data for the continuous monitoring of ground deformation and infrastructures at regional scale, file e398c381-77a2-179a-e053-3705fe0a4cff
|
1
|
|
Mapping and pre- and post-failure analyses of the April 2019 Kantutani landslide in La Paz, Bolivia, using synthetic aperture radar data, file ef144b38-7f62-406b-b675-6148f694f9ff
|
1
|
| Totale |
6.748 |