Modern technologies for landslide monitoring and prediction
Author(s)
Bibliographic Information
Modern technologies for landslide monitoring and prediction
（Springer natural hazards）
Springer, c2015
- hbk.
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Includes bibliographical references
Description and Table of Contents
Description
Modern Technologies for Landslide Investigation and Prediction presents eleven contributed chapters from Chinese and Italian authors, as a follow-up of a bilateral workshop held in Shanghai on September 2013. Chapters are organized in three main parts: ground-based monitoring techniques (photogrammetry, terrestrial laser scanning, ground-based InSAR, infrared thermography, and GNSS networks), geophysical (passive seismic sensor networks) and geotechnical methods (SPH and SLIDE), and satellite remote-sensing techniques (InSAR and optical images). Authors of these contributes are internationally-recognized experts in their respective research fields.
Marco Scaioni works in the college of Surveying and Geo-Informatics at Tongji University, Shanghai (P.R. China). His research fields are mainly Close-range Photogrammetry, Terrestrial Laser Scanning, and other ground-based sensors for metrological and deformation monitoring applications to structural engineering and geosciences. In the period 2012-2016 he is chairman of the Working Group V/3 in the International Society for Photogrammetry and Remote Sensing, focusing on 'Terrestrial 3D Imaging and Sensors'.
Table of Contents
Close-Range Photogrammetric Techniques for Deformation Measurement: Applications to Landslides.- A Fixed Terrestrial Photogrammetric System for Landslide Monitoring.- A New Approach Based on Terrestrial Remote Sensing Techniques for Rock Fall Hazard Assessment.- Multi-Temporal Terrestrial Laser Scanning Survey of a Landslide.- Micro-Scale Landslide Displacements Detection Using Bayesian Methods Applied to GNSS Data.- Analysis of Microseismic Activity within Unstable Rock Slopes.- The State of the Art of SPH Modelling for Flow-Slide Propagation.- Predictability of A Physically-based Model for Rainfall-induced Shallow Landslides: Model Development and Case Studies.- Monitoring Landslide Activities in the Three Gorges Area with Multi-Frequency Satellite SAR Datasets.- Radar Technologies for Landslide Detection, Monitoring, Early Warning and Emergency Management.- A new Approach to Satellite Time Series Co-registration for Landslide Monitoring.
by "Nielsen BookData"