Detecting and monitoring landslide phenomena with TerraSAR-X persistent scatterers data: The Gimigliano case study in Calabria Region (Italy)

2012 ◽  
Author(s):  
Silvia Bianchini ◽  
Francesca Cigna ◽  
Chiara Del Ventisette ◽  
Sandro Moretti ◽  
Nicola Casagli
Keyword(s):  
Calabria Region ◽  
Persistent Scatterers

scholarly journals Forest Management and Biomass Production for Energy: A Case Study in Calabria Region (Italy)

2016 ◽  
Vol 223 ◽  
pp. 805-811 ◽  
Author(s):  
Pasquale A. Marziliano ◽  
Fabio Lombardi ◽  
Valeria Altieri ◽  
Vittoria Coletta ◽  
Giuliano Menguzzato ◽  
...  
Keyword(s):  
Forest Management ◽  
Biomass Production ◽  
Calabria Region

scholarly journals ACTIVITIES TRAINING ON CITY LOGISTICS: CASE STUDY OF THE CALABRIA REGION, ITALY

2019 ◽  
Author(s):  
TOMMASO CALABRÒ ◽  
GIUSEPPE IIRITANO ◽  
MARIA ROSARIA TRECOZZI
Keyword(s):  
City Logistics ◽  
Calabria Region

scholarly journals DInSAR for Road Infrastructure Monitoring: Case Study Highway Network of Rome Metropolitan (Italy)

2020 ◽  
Vol 12 (22) ◽  
pp. 3697
Author(s):  
Felipe Orellana ◽  
Jose Manuel Delgado Blasco ◽  
Michael Foumelis ◽  
Peppe J.V. D’Aranno ◽  
Maria A. Marsella ◽  
...  
Keyword(s):  
High Resolution Data ◽  
Infrastructure Monitoring ◽  
The Road ◽  
Persistent Scatterers ◽  
Differential Interferometry ◽  
Highway Network ◽  
Service Conditions ◽  
General Deformation

The road network of metropolitan Rome is determined by a large number of structures located in different geological environments. To maintain security and service conditions, satellite-based monitoring can play a key role, since it can cover large areas by accurately detecting ground displacements due to anthropic activities (underground excavations, interference with other infrastructures, etc.) or natural hazards, mainly connected to the critical hydrogeological events. To investigate the area, two different Differential Interferometry Synthetic Aperture Radar (DInSAR) processing methods were used in this study: the first with open source using the Persistent Scatterers Interferometry (PSI) of SNAP-StaMPS workflow for Sentinel-1 (SNT1) and the second with the SBAS technique for Cosmo-SkyMed (CSK). The results obtained can corroborate the displacement trends due to the characteristics of the soil and the geological environments. With Sentinel-1 data, we were able to obtain the general deformation overview of the overall highways network, followed by a selection and classification of the PSI content for each section. With Cosmo-SkyMed data, we were able to increase the precision in the analysis for one sample infrastructure for which high-resolution data from CSK were available. Both datasets were demonstrated to be valuable for collecting data useful to understand the safety condition of the infrastructure and to support the maintenance actions.

scholarly journals Mapping and monitoring geomorphological processes in mountainous areas using PSI data: Central Pyrenees case study

2009 ◽  
Vol 9 (5) ◽  
pp. 1587-1598 ◽  
Author(s):  
G. Herrera ◽  
J. C. Davalillo ◽  
J. Mulas ◽  
G. Cooksley ◽  
O. Monserrat ◽  
...  
Keyword(s):  
Sar Images ◽  
Persistent Scatterers ◽  
Persistent Scatterer ◽  
Deformation Processes ◽  
Geomorphological Processes ◽  
Complementary Techniques ◽  
First Time ◽  
Monitoring Area ◽  
Central Pyrenees

Abstract. In this paper the Stable Point Network technique, an established Persistent Scatterer InSAR (PSI) technique, (SPN), has been applied for the first time to the analysis of several geomorphological processes present in the Gállego river basin (Central Pyrenees, Spain). The SPN coherence based approach has been used to process three different SAR images datasets covering two temporal periods: 1995 to 2001 and 2001 to 2007. This approach has permitted the detection of more than 40 000 natural ground targets or Persistent Scatterers (PSs) in the study area, characterised by the presence of vegetation and a low urban density. Derived displacement maps have permitted the detection and monitoring of deformations in landslides, alluvial fans and erosive areas. In the first section, the study area is introduced. Then the specifics of the SPN processing are presented. The deformation results estimated with the SPN technique for the different processed datasets are compared and analysed with previous available geo-information. Then several detailed studies are presented to illustrate the processes detected by the satellite based analysis. In addition, a comparison between the performance of ERS and ENVISAT satellites with terrestrial SAR has demonstrates that these are complementary techniques, which can be integrated in order to monitor deformation processes, like landslides, that over the same monitoring area may show very different ranges of movement. The most relevant conclusions of this work are finally discussed.

scholarly journals Detection of Seasonal Deformation of Highway Overpasses Using the PS-InSAR Technique: A Case Study in Beijing Urban Area

2020 ◽  
Vol 12 (18) ◽  
pp. 3071 ◽  
Author(s):  
Mingyuan Lyu ◽  
Yinghai Ke ◽  
Xiaojuan Li ◽  
Lin Zhu ◽  
Lin Guo ◽  
...  
Keyword(s):  
Urban Area ◽  
Urban Areas ◽  
Surface Deformation ◽  
Seasonal Pattern ◽  
Structural Deformation ◽  
Seasonal Patterns ◽  
Persistent Scatterers ◽  
Concentration Degree ◽  
Seasonal Indices

In urban areas, deformation of transportation infrastructures may lead to serious safety accidents. Timely and accurate monitoring of the structural deformation is critical for prevention of transportation accidents and assurance of construction quality, particularly in areas with regional land subsidence, such as the city of Beijing. In this study, we proposed a method for the detection of seasonal deformation of highway overpasses using the integration of persistent scatterers Interferometric Synthetic Aperture Radar (PS-InSAR) techniques and seasonal indices, i.e., deformation concentration degree (DCD) and deformation concentration period (DCP) indices. Taking eastern Beijing urban area as a case study area, we first used the PS-InSAR technique to derive time series surface deformation based on 55 TerraSAR-X images during 2010–2016. Then, we proposed DCD and DCP indices to characterize seasonal deformation of 25 highway overpasses in the study area, with DCD representing to what degree the annual deformation is distributed in a year, and DCP representing the period on which deformation concentrates in the year. Our results showed that the maximum annual deformation rate reached −141.3 mm/year in Beijing urban area, and the PS-InSAR measurements agreed well with levelling measurements (R2 > 0.97). For PS pixels with DCD ≥ 0.3, the monthly deformation showed obvious seasonal patterns with deformation values during some months greater than those during the other months. DCP revealed that the settlement during autumn and winter was more serious than that in spring and summer. The seasonal patterns seemed to be related to the location, structure, and construction age of the overpasses. The upper-level overpasses, the newly constructed overpasses, and those located in the subsidence area (rate < −40 mm/year) tended to show a greater seasonal pattern. The seasonal deformation variations were also affected by groundwater-level fluctuation, temperature, and compressible layer.

Surface deformation from persistent scatterers SAR interferometry and fusion with leveling data: A case study over the Choushui River Alluvial Fan, Taiwan

2011 ◽  
Vol 115 (4) ◽  
pp. 957-967 ◽  
Author(s):  
Wei-Chia Hung ◽  
Cheinway Hwang ◽  
Yi-An Chen ◽  
Chung-Pai Chang ◽  
Jiun-Yee Yen ◽  
...  
Keyword(s):  
Surface Deformation ◽  
Alluvial Fan ◽  
Sar Interferometry ◽  
Persistent Scatterers
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