Reprint

Geodetic Monitoring for Land Deformation

Edited by
February 2023
316 pages
  • ISBN978-3-0365-6442-5 (Hardback)
  • ISBN978-3-0365-6443-2 (PDF)

This book is a reprint of the Special Issue Geodetic Monitoring for Land Deformation that was published in

Engineering
Environmental & Earth Sciences
Summary

This reprint focuses on original research articles on the use of geodetic measurement techniques for land deformation identification, monitoring, and impact assessment. The development and application of modern surveying techniques for understanding land deformation is of particular interest. There is a special focus on examining the current and advanced geodetic measurement techniques, including radar interferometry (InSAR), global navigation satellite systems (GNSS), light detection and ranging (LiDAR), close-range photogrammetry (CRP), Robotic Total Station (RTS), digital levelling etc., to detect and monitor land deformation.

Format
  • Hardback
License
© by the authors
Keywords
GPS height time series; surface mass loading; RMS reduction rate; annual amplitude and phase; annual phase difference; Msplit estimation; TLS measurements; terrain profiles; vertical displacements; hydrological loading; long-term coordinate series; noise model; velocity; amplitude; ground-based SAR; UAV aerial photogrammetry; geocoding; solution space search; landslide monitoring; ground fissure extraction; loess landform; modified MF-FDOG algorithm; RF algorithm; UAV image; InSAR; ice velocity field; Sentinel-1 images; missing data recovering; ice rigidity inversion; GPS; GRACE; LDCmgm90; time-variable gravity; loading deformation; Aniangzhai landslide; Danba County; multi-hazard chain; time-series InSAR; optical image analysis; “space-sky-ground” collaborative monitoring framework; mining subsidence; preference model; AHP-TOPSIS; GNSS; leveling; Sichuan–Yunnan region; vertical deformation; InSAR; independent component analysis; soft clay; highway; deformation monitoring; GNSS; environmental loading; thermal expansion effect; monument types; mining area; hazard identification; landslide evolution pattern; hazard chain; GB-InSAR; LSTM model; deformation prediction; real-time processing; n/a