Modern Technologies for Landslide Monitoring and Prediction (Hardcover, 2015 ed.)

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'.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Springer Natural Hazards
Release date:	February 2015
First published:	2015
Editors:	Marco Scaioni
Dimensions:	235 x 155 x 16mm (L x W x T)
Format:	Hardcover - Cloth over boards
Pages:	249
Edition:	2015 ed.
ISBN-13:	978-3-662-45930-0
Categories:	Books > Earth & environment > The environment > Environmental impact of natural disasters & phenomena Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS) Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Books > Earth & environment > Earth sciences > Geology & the lithosphere > Economic geology > General
LSN:	3-662-45930-2
Barcode:	9783662459300

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