Main Title |
Modern Technologies for Landslide Monitoring and Prediction [electronic resource] / |
Type |
EBOOK |
Other Authors |
|
Publisher |
Springer Berlin Heidelberg : Imprint: Springer, |
Year Published |
2015 |
Call Number |
GB5000-5030 |
ISBN |
9783662459317 |
Subjects |
Geography ;
Remote sensing ;
Geology ;
Telecommunication
|
Internet Access |
|
Collation |
XII, 249 p. 84 illus., 78 illus. in color. online resource. |
Notes |
Due to license restrictions, this resource is available to EPA employees and authorized contractors only |
Contents Notes |
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. 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'. |
Place Published |
Berlin, Heidelberg |
Corporate Au Added Ent |
SpringerLink (Online service) |
Title Ser Add Ent |
Springer Natural Hazards |
Host Item Entry |
Springer eBooks |
PUB Date Free Form |
2015 |
Series Title Untraced |
Springer Natural Hazards |
BIB Level |
m |
Medium |
computer |
Content |
text |
Carrier |
online resource |
Cataloging Source |
OCLC/T |
OCLC Time Stamp |
20150519190925 |
Language |
eng |
Origin |
SPRINGER |
Type |
EBOOK |
OCLC Rec Leader |
03781nam a22004815i 45 |