Monitoring and Modelling of Geological Disasters Based on InSAR Observations

doi:10.3390/books978-3-0365-6381-7

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https://mdpi.com/books/pdfview/book/6770

Contributor(s)

Wang, Chisheng (editor)

Ge, Daqing (editor)

Zhang, Guohong (editor)

Zhu, Wu (editor)

Xiong, Siting (editor)

Language

English

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Abstract

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 interpretation, developments in early warning technology, and the management and formulation of policies by relevant authorities and stakeholders. This reprint focuses on monitoring and modelling of geological disasters using InSAR observations. The content covers topics such as PS/DS processing, deformation parameter inversion, motoring deformation (e.g., earthquakes, volcanoes, and oil extraction), and driving mechanism interpretation. These excellent reports significantly contribute to further developments in the monitoring and modeling of geological disasters using InSAR techniques.

URI

https://directory.doabooks.org/handle/20.500.12854/98760

Keywords

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