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[null,"1.","Record Nr.",null,"UNINA9910299434703321"]
[null,null,"Titolo",null,"Modern Technologies for Landslide Monitoring and Prediction / / edited by Marco Scaioni"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015"]
[null,null,"ISBN",null,"3-662-45931-0"]
[null,null,"Edizione",null,"[1st ed. 2015.]"]
[null,null,"Descrizione fisica",null,"1 online resource (251 p.)"]
[null,null,"Collana",null,"Springer Natural Hazards, , 2365-0656"]
[null,null,"Disciplina",null,"55"]
[{"$nulls":4},"551"]
[{"$nulls":4},"621.382"]
[{"$nulls":4},"624.151"]
[{"$nulls":4},"910.285"]
[null,null,"Soggetti",null,"Natural disasters"]
[{"$nulls":4},"Geotechnical engineering"]
[{"$nulls":4},"Remote sensing"]
[{"$nulls":4},"Electrical engineering"]
[{"$nulls":4},"Natural Hazards"]
[{"$nulls":4},"Geotechnical Engineering & Applied Earth Sciences"]
[{"$nulls":4},"Remote Sensing/Photogrammetry"]
[{"$nulls":4},"Communications Engineering, Networks"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references at the end of each chapters."]
[null,null,"Nota di contenuto",null,"Close-Range Photogrammetric Techniques for Deformation Measurement: Applications to Landslides -- A Fixed Terrestrial Photogrammetric System for Landslide Monitoring -- A New Approach Based on Terrestrial Remote Sensing Techniques for Rock Fall Hazard Assessment -- Multi-Temporal Terrestrial Laser Scanning Survey of a Landslide -- Micro-Scale Landslide Displacements Detection Using Bayesian Methods Applied to GNSS Data -- Analysis of Microseismic Activity within Unstable Rock Slopes -- The State of the Art of SPH Modelling for Flow-Slide Propagation -- Predictability of A Physically-based Model for Rainfall-induced Shallow Landslides: Model Development and Case Studies -- Monitoring Landslide Activities in the Three Gorges Area with Multi-Frequency Satellite SAR Datasets -- Radar Technologies for Landslide Detection, Monitoring, Early Warning "]
[{"$nulls":4},"and Emergency Management -- A new Approach to Satellite Time Series Co-registration for Landslide Monitoring."]
[null,null,null,"Sommario/riassunto","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’."]