Modern Technologies for Landslide Monitoring and Prediction

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’.

Dr Marco Scaioni, male, born in 1969, graduated and achieved a PhD in Geodetic and Mapping Sciences at Politecnico di Milano, Italy. He is Professor the College of Surveying and Geo-Informatics at Tongji University in Shanghai, China. His main research interests are the application of close-range photogrammetry and laser scanning for deformation monitoring and geo-hazard management. He is Principal Investigation of the research area on “Remote Sensing and Sensor Network” at the Center for Spatial Information Science and Sustainable Development Applications at Tongji University. He has undertaken a series of research projects supported by Italian Ministry of Scientific Research and University, Ministry of Science and Technology of China, European Community, and several Italian administrations. His major current projects are focusing on spatial sensor networks for landslide monitoring/prediction and application of remote-sensing data to evaluate ice mass-balance in Antarctica.  He is chairman of the ISPRS Working Group V/3 on Terrestrial 3D Imaging and Sensors (2012-2016). He is member of the Editorial board of Applied Geomatics (Springer) and the European Journal of Remote Sensing. He has published over 56 papers in peer-reviewed international journals and conferences.

Publication list
[1] Pozzoli A., Mussio L., Scaioni M., 2004. “A Project for the Survey of a Hydraulic Stream Confluence Model Based on a General Procedure for Three-Image Orientation.” Commemorative Volume for the 60th birthday of Prof. Dr. Armin Grün, Institute of Geodesy and Photogrammetry, ETH Zurich (Switzerland), pp. 201-208.
[2] Scaioni M., Guastamacchia E., Crimella E., 2009. “The Topographic Db as a tool for land management and government: the ‘Provincia di Lecco project’.” In: M. Caglioni, F. Scarlatti (eds.), Representation of Geographical Information for Planning, Ed. Esculapio, Bologna (Italy), pp. 29-38, ISBN 978-88-7488-316-5.
[3] AlbaM., Caragliano S., Rota R., Scaioni M., 2009. “Improving the Industrial Risk Analysis in Urban Area by using Geographic Information.” In: M. Caglioni, F. Scarlatti (eds.), Representation of Geographical Information for Planning, Ed. Esculapio, Bologna (Italy), pp. 159-168, ISBN 978-88-7488-316-5.
[4] Pontiggia M., Busini V., Derudi M., Alba M., Scaioni M., Rota R., Landucci G., Molag M., Tugnoli A., Cozzani V., 2010. “Safety of LPG rail transportation in the perspective of the Viareggio accident.” In: Ale, Papazoglou and Zio (eds.), Reliability, Risk and Safety, Taylor & Francis Group, London (UK), pp. 1872-1880, ISBN 978-0-415-60427-7 [EI].
[5] Alba M., Barazzetti L., Giussani A., Roncoroni F., Scaioni M., 2011. “Sperimentazione di tecniche innovative per il monitoraggio delle strutture.” In: Manzino, A., Spalla, A. (eds.), Geomatica. Le radici del futuro, Edizioni SIFET, Milano (Italy), pp. 131-140, ISBN: 88-901939-6-4.
[6] Barazzetti L., Roncella R., Forlani G., Remondino, F., Scaioni M., 2011. “Orientamento automatico di blocchi fotogrammetrici in ambito close-range: stato dell’arte e prospettive della ricerca.” In: Manzino, A., Spalla, A. (eds.), Geomatica. Le radici del futuro, Edizioni SIFET, Milano (Italy), pp. 131-140, ISBN: 88-901939-6-4.
[7] Scaioni, M., Barazzetti L., 2012. “iPhotogrammetry”. In: Achille, C., Mussio, L. (eds.), Un incontro informale per i 70 anni del prof Carlo Monti, Edizioni SIFET, Milano (Italy), 9 pp., ISBN: 978-88-905917-6-1 (e-doc).
[8] Barazzetti, L., Scaioni, M., 2012. “Transforming Images and Laser Scans into 3D Models.” In:  F.V. Ficarra (ed.), Emerging Software for Interactive Interfaces, Database, Computer Graphics and Animation: Pixels and the New Excellence in Communicability, Cloud Computing and Augmented Reality, Blue Herons Editions, 10 pp., ISBN: 978-88-96471-19-7, DOI: 10.978.8896471/197.
[9] Previtali, M., Scaioni, M., Barazzetti, L., Brumana, R.,Oreni, D., 2013. “An algorithm for occlusion-free texture mapping from oriented images.” In: Advanced Research and Trends in New Technologies, Software, Human-Computer Interaction and Communicability.
[10] Barazzetti, L., Scaioni, M., 2013. “Reality-based 3D Modelling from Images and Laser Scans: Combining Accuracy and Automation.” In: Advanced Research and Trends in New Technologies, Software, Human-Computer Interaction and Communicability.
Editor of conference Proceedings
[11] Scaioni, M., Lindenbergh, R., Oude Elberink, S., Schneider, D., Pirotti, F. (Eds.), 2013. “Proc. of ISPRS Workshop Laser Scanning 2013, Antalya, Turkey, 11-13 November 2013.” ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences, Vol. II, Part 5/W2, pages 366 (ISSN: 2194-9050).
Paper on peer-reviewed international journals
[12] Forlani, G., Nardinocchi, C., Scaioni, M., and P. Zingaretti, 2006. “Complete classification of raw LIDAR data and 3D reconstruction of buildings.” Pattern Analysis and Applications Vol. 8(4), pp. 357-374, DOI: 10