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03891nam a22005055i 4500 |
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978-3-662-45931-7 |
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DE-He213 |
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20151103132249.0 |
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cr nn 008mamaa |
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150123s2015 gw | s |||| 0|eng d |
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|a 9783662459317
|9 978-3-662-45931-7
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|a 10.1007/978-3-662-45931-7
|2 doi
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|a 551
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|a Modern Technologies for Landslide Monitoring and Prediction
|h [electronic resource] /
|c edited by Marco Scaioni.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2015.
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|a XII, 249 p. 84 illus., 78 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
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|a text file
|b PDF
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|a Springer Natural Hazards
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|a 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.
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|a 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’.
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|a Earth sciences.
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|a Natural disasters.
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|a Geotechnical engineering.
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|a Remote sensing.
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|a Electrical engineering.
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|a Earth Sciences.
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|a Natural Hazards.
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|a Geotechnical Engineering & Applied Earth Sciences.
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|a Remote Sensing/Photogrammetry.
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| 650 |
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|a Communications Engineering, Networks.
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| 700 |
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|a Scaioni, Marco.
|e editor.
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| 710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783662459300
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| 830 |
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|a Springer Natural Hazards
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|u http://dx.doi.org/10.1007/978-3-662-45931-7
|z Full Text via HEAL-Link
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|a ZDB-2-EES
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| 950 |
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|a Earth and Environmental Science (Springer-11646)
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