Monitoring and Modelling of Geological Disasters Based on InSAR Observations

Interferometric synthetic aperture radar (InSAR) has demonstrated its potential in monitoring geological disasters, e.g., in relation to subsidence, landslides, earthquakes, and volcanoes. Such monitoring results provide significant information for further physical modeling, driving mechanism inter...

Повний опис

Збережено в:

Бібліографічні деталі
Формат:	Online
Мова:	Англійська
Опубліковано:	MDPI - Multidisciplinary Digital Publishing Institute 2023
Предмети:	landslide DS-InSAR deformation monitoring stability analysis InSAR mine land subsidence time series deformation model Su-Xi-Chang area InSAR time-series ground fissure FLAC3D Yangbi MW 6.1 earthquake time-series InSAR error elimination high-precision coseismic deformation fault inversion Anak Krakatau volcano the Nobuyuki Otsu (OTSU) method multi-polarization synthetic aperture radar (SAR) Interferometric Synthetic Aperture Radar (InSAR) coseismic displacement tropospheric delay correction small-to-moderate earthquakes geodetic earthquake catalogue source inversion rupture model strong motion seismic hazard Altyn Tagh Fault asymmetry interseismic strain viscoelastic permafrost ALT FCNInSAR CSK images thaw settlement coefficient VWC SoilGrids ankang airport expansive soil phase optimization PS-InSAR singular spectrum analysis (SSA) dataset calibration quadratic polynomial fitting spatiotemporal evolution characteristics Dalian Jinzhou Bay International Airport SBAS-InSAR Terzaghi consolidation theory subsidence monitoring subsidence prediction ground deformation PSInSAR leveling groundwater Shanghai Lingang New City Wuhan city urban construction land uplift Persistent Scatter Interferometry (PSI) persistent scatterers (PSs) distributed scatterers (DSs) Bayesian theory land deformation ERA5 the crustal movement observation network of China variance component estimation weighting (VCE) accuracy analysis thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNP Pollution and threats to the environment::RNPG Climate change
Онлайн доступ:	ONIX_20230307_9783036563800_50
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Monitoring and Modelling of Geological Disasters Based on InSAR Observations

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