Landslides play a significant role in the morpho-evolutional processes of slopes, affecting them globally under various geological conditions. Often unnoticed due to low velocities, they cause diffuse damage and loss economic resources infrastructure or villages built on them. Recognizing mapping mass movements is crucial for mitigating social impacts. Conventional monitoring techniques prove challenging large areas, necessitating resource-intensive ground-based networks. Leveraging abundant...

The main aim of this paper is to test the use multi-temporal differential interferometric synthetic aperture radar (DInSAR) techniques as a tool for geological and geomorphological surveys in urban areas, where anthropogenic features often completely obliterate landforms surficial deposits. In last two decades, DInSAR have been extensively applied many topics Geosciences, especially geohazard analysis risks assessment, but few attempts made using subsidence mapping. With aim, data an...

Mass movements represent a serious threat to the stability of human structures and infrastructures, cause loss lives severe damages properties every year worldwide. Built located on potentially unstable slopes are susceptible deformations due displacement ground that at worst can lead total destruction. Synthetic aperture radar (SAR) data acquired by Sentinel-1 satellites processed multi-temporal interferometric SAR (MT-InSAR) techniques measure centimeter millimeter-level with weekly...

Abstract. The definition of hydrological alert systems for rainfall-induced landslides is strongly related to a deep knowledge the geological and geomorphological features territory. Climatic conditions, spatial temporal evolution phenomena characterization landslide triggering, together with propagation mechanisms, are key elements be considered. Critical steps development consist identification variable triggering minimum rainfall threshold occurrence. In this paper we report results from...

Predicting building damage due to subsidence phenomena is a great challenge in the field of risk management, and moreover process disaster reduction. The proposed assessment integrates measurements obtained from satellite synthetic aperture radar (SAR) observations with semiempirical model, which schematizes buildings as equivalent laminated beams. importance each parameters involved method has been evaluated understand applicability model different urban contexts. SAR monitoring structural...

Many previous studies have primarily focused on the use of deep learning for interferometric processing or separate recognition purposes rather than targeted measurements detected wellpads. The present study centered around integration and Tengiz oilfield This proposes optimization, automation, acceleration ground deformation wellpad monitoring. Mask Region-based Convolutional Neural Network (R-CNN)-based consequent Small Baseline Subset Synthetic Aperture Radar Interferometry (SBAS-InSAR)...

The present study was aimed at comparing vertical and horizontal surface displacements derived from the Cosmo-SkyMED, TerraSAR-X Sentinel-1 satellite missions for detection of oil extraction-induced subsidence in Tengiz oilfield during 2018-2021. were using 2D decomposition line-of-sight measurements three missions. Since mission only available an ascending track, it successfully decomposed by combining with Cosmo-SkyMED descending track. Vertical displacement velocities Decomposition showed...

This work is aimed at showing the potential use of Synthetic Aperture Radar interferometry (InSAR) for landslide investigation and evaluation slope displacement over time identification unstable areas north-eastern Copou hillslope.The available Sentinel-1 data have been processed using Advanced Differential Interferometry (A-DInSAR) techniques which includes Permanent Scatterers (PSI) Small BAseline Subset (SBAS).Starting from two or more SAR phase images same area with different acquisition...

Predicting building damages due to ground movements caused by subsidence phenomena is a great challenge in the field of Risk Management, moreover process Disaster Reduction. This damage assessment integrates measurements obtained from satellite SAR observations with an intermediate semi-empirical model, which schematizes buildings as equivalent laminated beams. The monitoring and modelling stages have been embedded investigate densely urban areas. Two test sites examined: Southern part city...

Since 2014, Sentinel-1 (S1) Synthetic Aperture Radar (SAR) data have become an important source in the field of displacement detection thanks to regular acquisitions and 7.5 years temporal coverage at global level. Despite increasing number publications on role S1 landslide detection, there is still a need for research further clarify capabilities sensor applicable image analysis techniques. Previous studies successfully exploited high-resolution ALOS-PALSAR image-based intensity coherence...

The main aim of this study is to comprehend landslide phenomena that affect the area Rovegliana (North-Eastern Italian pre-Alps), quantifying soil displacements and investigating conditions influence slope dynamics. Geological surveying turns out be useful as support satellite radar interferometry technique, whose results allowed position points a GPS network. In delimited two districts, identified with high level criticality, laser-scanner has been implemented on damaged buildings....

Abstract This study focused on the assessment of marine Kazakhstan Kashagan oil field located in Northern Caspian Sea. High-resolution COSMO-SkyMed (CSK) and medium-resolution Sentinel-1 (SNT1) satellite images acquired during 2018-2022 were used for persistent scatterer interferometric processing (PS-InSAR). Based measurements from ascending descending tracks, decomposition line-of-sight applied to achieve vertical horizontal deformations. The practical value novelty present studies...

Abstract. In this work, an innovative methodology to generate the automatic ground motion areas mapping is presented. The based on analysis of Synthetic Aperture Radar (SAR)-based displacement time series. procedure includes two modules developed using ModelBuilder tool (ArcGis). These allow identify (GMA) only one dataset and persistent GMA (PGMA) considering different monitored periods datasets. represent clusters targets characterized by same series trend. was tested sensors such as...

Transmission mains (TMs) and water distribution systems (WDS) are, among the others, fundamental networks on which society relies on. Age, pipeline materials, internal external stresses are just few of numerous factors that undermine efficiency these infrastructures potentially reduce performance functionality, leading to leakages or causing dangerous conditions in surrounding environment, such as flooding disruption. Accurate condition assessment, with suitable monitoring techniques, allows...

The intense activity of Sakurajima volcano is defined through interferometric analysis SAR data, ALOS Palsar-2 and Sentinel-1, to obtain the caldera displacement over observed period, between October 2014 March 2018. Displacement evolution derived investigate its correlation with eruptions diking. time series, calibrated global navigation satellite System (GNSS) measurements, are used identify most dramatic events affecting area since 2015. Moreover, modeling a rapid intrusion occurred in...

The activity of Aso and Sakurajima volcanoes is monitored through interferometric analysis SAR data, ALOS Palsar-2 Sentinel-1, to obtain caldera displacements over the observed period, from 2014 2018 investigate deformations correlation with inflation deflation cycles magma plumbing system, eruptions diking. time series, calibrated global navigation satellite System (GNSS) measurements, are used identify pre post seismic effects Mw 7.0 Kumamoto earthquake, occurred in April 2016, on volcano...