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...
| Format: | eBook |
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| Language: | English |
| Published: |
Basel
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Subjects: | |
| Online Access: | Open Access: DOAB: description of the publication Open Access: DOAB, download the publication |
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| 020 | |a books978-3-0365-6381-7 | ||
| 024 | 7 | |a 10.3390/books978-3-0365-6381-7 |2 doi | |
| 040 | |a oapen |c oapen | ||
| 041 | 0 | |a eng | |
| 042 | |a dc | ||
| 072 | 7 | |a GP |2 bicssc | |
| 720 | 1 | |a Wang, Chisheng |4 edt | |
| 720 | 1 | |a Ge, Daqing |4 edt | |
| 720 | 1 | |a Ge, Daqing |4 oth | |
| 720 | 1 | |a Wang, Chisheng |4 oth | |
| 720 | 1 | |a Xiong, Siting |4 edt | |
| 720 | 1 | |a Xiong, Siting |4 oth | |
| 720 | 1 | |a Zhang, Guohong |4 edt | |
| 720 | 1 | |a Zhang, Guohong |4 oth | |
| 720 | 1 | |a Zhu, Wu |4 edt | |
| 720 | 1 | |a Zhu, Wu |4 oth | |
| 245 | 0 | 0 | |a Monitoring and Modelling of Geological Disasters Based on InSAR Observations |
| 260 | |a Basel |b MDPI - Multidisciplinary Digital Publishing Institute |c 2023 | ||
| 300 | |a 1 online resource (336 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 506 | 0 | |a Open Access |f Unrestricted online access |2 star | |
| 520 | |a 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. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |u https://creativecommons.org/licenses/by/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Research and information: general |2 bicssc | |
| 653 | |a accuracy analysis | ||
| 653 | |a ALT | ||
| 653 | |a Altyn Tagh Fault | ||
| 653 | |a Anak Krakatau volcano | ||
| 653 | |a ankang airport | ||
| 653 | |a asymmetry interseismic strain | ||
| 653 | |a Bayesian theory | ||
| 653 | |a coseismic displacement | ||
| 653 | |a CSK images | ||
| 653 | |a Dalian Jinzhou Bay International Airport | ||
| 653 | |a dataset calibration | ||
| 653 | |a deformation monitoring | ||
| 653 | |a distributed scatterers (DSs) | ||
| 653 | |a DS-InSAR | ||
| 653 | |a ERA5 | ||
| 653 | |a error elimination | ||
| 653 | |a expansive soil | ||
| 653 | |a fault inversion | ||
| 653 | |a FCNInSAR | ||
| 653 | |a FLAC3D | ||
| 653 | |a geodetic earthquake catalogue | ||
| 653 | |a ground deformation | ||
| 653 | |a ground fissure | ||
| 653 | |a groundwater | ||
| 653 | |a high-precision coseismic deformation | ||
| 653 | |a InSAR | ||
| 653 | |a InSAR time-series | ||
| 653 | |a Interferometric Synthetic Aperture Radar (InSAR) | ||
| 653 | |a land deformation | ||
| 653 | |a land subsidence | ||
| 653 | |a land uplift | ||
| 653 | |a landslide | ||
| 653 | |a leveling | ||
| 653 | |a mine | ||
| 653 | |a model | ||
| 653 | |a multi-polarization | ||
| 653 | |a permafrost | ||
| 653 | |a Persistent Scatter Interferometry (PSI) | ||
| 653 | |a persistent scatterers (PSs) | ||
| 653 | |a phase optimization | ||
| 653 | |a PS-InSAR | ||
| 653 | |a PSInSAR | ||
| 653 | |a quadratic polynomial fitting | ||
| 653 | |a rupture model | ||
| 653 | |a SBAS-InSAR | ||
| 653 | |a seismic hazard | ||
| 653 | |a Shanghai Lingang New City | ||
| 653 | |a singular spectrum analysis (SSA) | ||
| 653 | |a small-to-moderate earthquakes | ||
| 653 | |a SoilGrids | ||
| 653 | |a source inversion | ||
| 653 | |a spatiotemporal evolution characteristics | ||
| 653 | |a stability analysis | ||
| 653 | |a strong motion | ||
| 653 | |a Su-Xi-Chang area | ||
| 653 | |a subsidence monitoring | ||
| 653 | |a subsidence prediction | ||
| 653 | |a synthetic aperture radar (SAR) | ||
| 653 | |a Terzaghi consolidation theory | ||
| 653 | |a thaw settlement coefficient | ||
| 653 | |a the crustal movement observation network of China | ||
| 653 | |a the Nobuyuki Otsu (OTSU) method | ||
| 653 | |a time series deformation | ||
| 653 | |a time-series InSAR | ||
| 653 | |a tropospheric delay correction | ||
| 653 | |a urban construction | ||
| 653 | |a variance component estimation weighting (VCE) | ||
| 653 | |a viscoelastic | ||
| 653 | |a VWC | ||
| 653 | |a Wuhan city | ||
| 653 | |a Yangbi MW 6.1 earthquake | ||
| 793 | 0 | |a DOAB Library. | |
| 856 | 4 | 0 | |u https://directory.doabooks.org/handle/20.500.12854/98760 |7 0 |z Open Access: DOAB: description of the publication |
| 856 | 4 | 0 | |u https://mdpi.com/books/pdfview/book/6770 |7 0 |z Open Access: DOAB, download the publication |