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Modern Technologies for Landslide Monitoring and Prediction de Marco Scaioni

Modern Technologies for Landslide Monitoring and Prediction: Springer Natural Hazards

Editat de Marco Scaioni
en Limba Engleză Hardback – 6 feb 2015
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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Specificații

ISBN-13: 9783662459300
ISBN-10: 3662459302
Pagini: 210
Ilustrații: XII, 249 p. 84 illus., 78 illus. in color.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.54 kg
Ediția:2015
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Springer Natural Hazards

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

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.

Notă biografică

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: 10.1007/s10044-005-0018-2 [SCI IF=0.814].
[13] Gianinetto M., Borgogno Mondino E., Scaioni M., Tonolo F.G., 2007. “Developing Countries and Areas Affected by War Events.” Transformacje, Vol. 35-38, pp. 184-201.
[14] Gianinetto M., and M. Scaioni, 2008. “Automated Geometric Correction of High-Resolution Pushbroom Satellite Data.” Photogrammetric Engineering & Remote Sensing, Vol. 74(1), pp. 107-116 [SCI IF=1.802 - EI].
[15] Barazzetti L., Brovelli M., Scaioni M., 2008. “Generation of true-orthophotos with LiDAR high resolution digital surface models.” The Photogrammetric Journal of Finland, Vol. 21(1), pp. 26-36.
[16] Barazzetti L., Scaioni M., 2009. “Crack measurement: development, testing and applications of an automatic image-based algorithm.” ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 64(3), pp. 285-296, DOI:10.1016/j.isprsjprs.2009.02.004 [SCI IF = 3.313 - EI].
[17] Arosio D., Longoni, L., Papini, M., Scaioni, M., Zanzi, L., Alba, M., 2009. “Towards rockfall forecasting through observing deformations and listening to microseismic emissions.” Natural Hazards Earth System Science, Vol. 9(4), pp. 1119-1131, [SCI IF=1.751].
[18] Pontiggia M., Derudi M., Alba M.I., Scaioni M., Rota R., 2010. “Hazardous gas release in urban areas: Consequences assessment of hazardous gas releases in urban areas through CFD modeling.” Journal of Hazardous Materials, Vol.  176(1-3), pp. 589-596, DOI: 10.1016/j.jhazmat.2009.11.070 [SCI IF=3.925 - EI].
[19] Scaioni M., Alba M., Giussani A., Roncoroni F., 2010. “Monitoring of a SFRC retaining structure during placement.” European Journal of Environmental and Civil Engineering, Vol. 14(4), pp. 467-493, DOI: 10.1080/19648189.2010.9693237 [SCI IF=0.306 - EI].
[20] Barazzetti L., Scaioni M., 2010. “Development and Implementation of Image-based Algorithms for Measurement of Deformations in Material Testing.” Sensors, Vol. 10(8), pp. 7469-7495, DOI:10.3390/s100807469 [SCI IF=1.953].
[21] Scaioni M., 2010. “Evaluation of the Uncertainty of the Length of Energy Distribution Networks.” Applied Geomatics, Vol. 2(4), pp. 163-175, DOI: 10.1007/s12518-010-0032-y [SCI IF to be assigned in 2014].
[22] Barazzetti L., Remondino, F., Scaioni M., 2010. “Orientation and 3D modelling from markerless terrestrial images: combining accuracy with automation.” The Photogrammetric Record, 25(132), pp. 356-381 [SCI IF=1.440 - EI].
[23] Oreni D., Brumana R., Scaioni M., Prandi F., 2010. “Navigating on the past, as a bird flight, in the territorial scale of historical topographic maps. WMS on the ‘Corografie delle Province del Regno Lombardo-Veneto’, for accessing cadastral map catalogue.” E-Perimetron, Vol. 5(4), pp. 194-211.
[24] Brumana R., Cuca B., Scaioni M., Oreni D., 2011. “Spatialdata management of temporal maps series for cultural and environmental heritage.” International Journal of Spatial Data Infrastructures Research, Vol. 6(2011), pp. 31, DOI: 10.2902/1725-0463.20xx.xx.arty.
[25] Barazzetti L., Binda M.L., Scaioni M., Taranto P., 2011. “Photogrammetric survey of complex geometries with low-cost software: application to the ‘G1’ Temple in Myson, Vietnam.” Journal of Cultural Heritage, Vol. 12(2011) pp. 253-262, DOI:10.1016/j.culher.2010.12.004 [SCI IF=1.176].
[26] Pontiggia M., Landucci G., Busini V., Derudi M., Alba M., Scaioni M., Bonvicini S., Cozzani V., Rota R., 2011. “CFD model simulation of LPG dispersion in urban areas.” Atmospheric Environment, Vol. 45(24), pp. 3913-3923, DOI:10.1016/j.atmosenv.2011.04.071 [SCI IF=3.110 - EI].
[27] Alba M., Barazzetti L., Scaioni M., 2011. “Filtering vegetation from terrestrial point clouds with low-cost near infrared cameras.” The Italian Journal of Remote Sensing, Vol. 43(2), pp. 55-75, DOI: 10.5721/ItJRS20114325 [SCI IF=0.328].
[28] Alba M.I., Barazzetti L., Scaioni M., Rosina E., Previtali M., 2011. “Mapping Infrared Data on Terrestrial Laser Scanning 3D Models of Buildings.” Remote Sensing (Special issue on “Terrestrial Laser Scanning”), Vol. 3(9), pp. 1847-1870, DOI: 10.3390/rs3091847 [IF=2.101- EI].
[29] Remondino, F., Rizzi, A., Barazzetti, L., Scaioni, M., Fassi, F., Brumana, R., Pelagotti, A., 2011. “Review of geometric and radiometric analyses of paintings.” The Photogrammetric Record, Vol. 26(136), pp. 439-461, DOI: 10.1111/j.1477-9730.2011.00664.x [SCI IF=1.440 - EI].
[30] Barazzetti, L., Remondino, F., Scaioni, M., 2012. “Sequential Homography-Based Alignment for HDR image generation.” Advanced Materials Research, Vols. 452-453(2012), pp. 1025-1029, DOI: 10.4028/www.scientific.net/AMR.452-453.1025 [EI].
[31] Longoni, L., Arosio D., Scaioni, M., Papini, M., Zanzi, L., Roncella, R., Brambilla, D., 2012.“Surface and subsurface non-invasive investigations to improve the characterization of a fractured rock mass.” Journal of Geophysics and Engineering, Vol. 9(2012), pp. 461-472, DOI: 10.1088/1742-2132/9/5/461 [SCI IF=0.721].
[32] Crosilla, F., Macorig, D., Scaioni, M., Sebastianutti, I., Visintini, D., 2013. “LiDAR data filtering and classification by skewness and kurtosis iterative analysis of multiple point cloud data categories.” Applied Geomatics, Vol. 5(3), pp.225-240, DOI: 10.1007/s12518-013-0113-9 [SCI IF to be assigned in 2014].
[33] Scaioni, M., Roncella, R., Alba, M.I., 2013. “Change Detection and Deformation Analysis in Point Clouds: Application to Rock Face Monitoring.” Photogrammetric Engineering & Remote Sensing, Vol. 79(5), pp. 441-456, [SCI IF=1.802 - EI]. 
[34] Barazzetti, L., Previtali, M., Scaioni, M., 2013.  “Stitching and Processing Gnomonic Projections for Close-Range Photogrammetry.” Photogrammetric Engineering & Remote Sensing, Vol. 79(6), pp. 573-582 [SCI IF=1.802 - EI].
[35] Qiao, G., Lu, P., Scaioni, M., Xu, S., Tong, X., Feng, T., Wu, H., Chen, W., Tian, Y., Wang, W., Li, R., 2013. “Landslide Investigation with Remote Sensing and Sensor Network: From Susceptibility Mapping and Scaled-down Simulation towards in situ Sensor Network Design.” Remote Sensing (Special issue on “Remote Sensing for Landslides Investigation: From Research into Practice”), Vol. 5(9), pp. 4319-4346, DOI: 10.3390/rs5094319 [SCI IF=2.101- EI].
[36] Scaioni, M., Lu, P., Feng, T., Chen, W., Wu, H., Tong, X., Wang, W., Li, R., 2013. “Analysis of spatial sensor network observations during landslide simulation experiments.” European Journal of Environmental and Civil Engineering, Vol. 17(9), pp. 802-825, DOI: 10.1080/19648189.2013.822427 [SCI IF=0.306 - EI].
[37] Previtali, M., Barazzetti, L., Redaelli, V., Rosina, E. Scaioni, M., 2013. “A rigorous procedure for mapping thermal infrared images on 3Dmodels of building façades.” Journal of Applied Remote Sensing, Vol. 7 (1), DOI: 10.1117/1.JRS.7.073503 [SCI].
[38] Scaioni, M., 2013. “Editorial: Remote Sensing for Landslide Investigations: From Research into Practice.” Remote Sensing, Vol. 5(11), pp. 5488-5492, DOI:10.3390/rs5115488 [SCI IF=2.101].
[39] Fedele, R., Scaioni, M., Barazzetti, L., Rosati, G., Biolzi, L., Condoleo, P., 2014. Delamination tests on CFRP-reinforced masonry pillars: optical monitoring and mechanical modelling. Cement and Concrete Composites, Vol. 45, pp. 243-254, DOI:10.1016/j.cemconcomp.2013.10.006  [SCI].
Paper on other international journals
[40] Caroti G., Pinto L., Scaioni M., Stoppini A., 2000. “A Levelling Network in the Pisa Plane: a Laboratory to Test Instruments and Methods.” Reports on Geodesy, Institut of Geodesy and Geodetic Astronomy of Warsaw University of Technology, Warsaw (Poland), n. 8(54), pp. 60-68.
Paper in peer-reviewed proceedings of international conferences
[41] Forlani G., Pinto L., Scaioni M., 1999. “A Procedure for Automatic Inner Orientation.” In: Proc. Work. “Automatic Extraction of GIS Objects from Digital Imagery”, Munich (Germany), 8-10 Sept., IAPRS, Vol. XXXII, Part 3-2W5, pp. 131-135.
[42] Carrion D., Gianinetto M., Scaioni M., 2002. “GEOREF: a Software for Improving the Use of Remote Sensing Images in Environmental Applications.” In: Proc. 1st IEMSS Int. Meeting “Integrated Assessment and Decision Support”, Lugano (Switzerland), 24-27 June, pp. 360-366.
[43] Scaioni M., 2005. “Direct Georeferencing of TLS in Surveying of Complex Sites.” In: Proc. Int. Work. “3D-Arch 05”, Mestre (Italy), 22-24 Aug., The Int. Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (IAPRS&SIS), Vol. XXXVI, Part 5/W17, 8 pp. (e-doc).
[44] Alba M., Longoni L., Papini M., Roncoroni F., Scaioni M., 2005. “Feasibility and Problems of TLS in Modeling Rock Faces forHazard Mapping.” In: Proc. Int. ISPRS Work. “Laser Scanning 2005”, Enschede (The Netherlands), 12-14 Sept., IAPRS&SIS, Vol. XXXVI, Part 3/W19, pp. 156-161.
[45] Barazzetti L., Brovelli M., Scaioni M., 2007. “Problems Related to the Generation of True-Orthophotos with LiDAR DDSMs.” In: Proc. ISPRS Work. “Laser Scanning 2007 and SilviLaser 2007”, Espoo (Finland), 12-14 Sept, IAPRS&SIS, Vol. XXXVI, Part 3/W52, pp. 20-26.
[46] Scaioni M., Arosio D., Longoni L., Papini M., Zanzi L., 2008. Integrated Monitoring and Assessment of Rockfall. In: Proc. Conf. BEAR 2008, Heritance Kandalama (Sri Lanka), 10-15 Feb, pp. 618-629.
[47] Fiorucci A., Pontiggia M., Derudi M., Alba M., Scaioni M., Pendino R., Uguccioni G., Rota R., 2008. “Risk assessment of dangerous products release and dispersion: a comparison between CFD and integral models.” In: Proc. CISAP-3 Conference, Rome (Italy), 11-14 May., S.S. Buratti (ed.), Chemical Engineering Transactions, Vol. 13, AIDIC Servizi, Milano (Italy), pp. 195-202.
[48] Rota R., Caragliano S., Scaioni M., Ravasi F., 2008. “EPM: a GIS-Based tool for Emergency Preparedness and Management of Industrial-Related Accidents.” In: Proc. CISAP-3 Conference, Rome (Italy), 11-14 May., S.S. Buratti (ed.), Chemical Engineering Transactions, Vol. 13, AIDIC Servizi, Milano (Italy), pp. 437-444.
[49] Scaioni M., Alba M., Giussani A., Roncoroni F., 2008. “Assessment and Monitoring of a SFRC Retaining Structure: Measurement Issues (Part 2).” In: Proc. “SACoMaTiS 2008”, Varenna (LC - Italy), 1-2 Sept, Vol. 1, pp. 605-614.
[50] Scaioni M., Alba M., Rota R., Caragliano S., 2009. “A GIS-Based SW Prototype for Emergency Preparedness Management Applied to a Real Case Study.” In: Proc. Int. Conf. “Computational Science and its Applications – ICCSA 2009”, Seoul (Korea), 29 Jun-2 Jul, Gervasi et al. (ed.s), Lecture Notes in Computer Science, Vol. 5592, Part 1, pp. 79-93 [EI].
[51] AlbaM., Roncoroni F., Scaioni M., 2009. “Application of TLS for change detection in rock faces.” In: Proc. ISPRS Work. “Laserscanning ‘09”, Paris, France, 1-2 Sept, IAPRS&SIS, Vol. 38, Part 3/W8, pp. 99-104.
[52] Fregonese L., Scaioni M., Taffurelli L., 2009. “Generation of a Spatial Information System for architecture with laserscanning data.” In: Proc. ISPRS Work. “Laserscanning ‘09”, Paris, France, 1-2 Sept, IAPRS&SIS, Vol. XXXVIII, Part 3/W8, pp. 87-92.
[53] Barazzetti L., Binda L., Scaioni M., Taranto P., 2009. “Importance of the geometrical survey for structural analyses and design for intervention on C.H. buildings: application to a My Son temple in Vietnam.” In: Proc.13th Int. Conf. “Repair, Conservation and Strengthening of Traditionally Erected Buildings and Historic Buildings REMO2009”, Wroclaw (Poland), 2-4 Dec, Conservation News, n. 26, pp. 135-146.
[54] Alba M., Scaioni M., 2010. “Understanding changes and deformations on multi-temporal rock face point clouds.” In: Proc. ISPRS Comm. III Symp. “Photogrammetric Computer Vision and Image Analysis”, Paris Saint-Mandé (France), 1-3 Sept, IAPRS&SIS, Vol. XXXVIII, Part 3A, pp. 57-62.
[55] Barazzetti L., Remondino, F., Scaioni M., 2010. “Extraction of accurate tie points for automated pose estimation of close-range blocks.” In: Proc. ISPRS Comm. III Symp., Paris Saint-Mandé (France), 1-3 Sept,  IAPRS&SIS, Vol. XXXVIII, Part 3A, pp. 151-156.
[56] Barazzetti L., Fangi G., Remondino, F., Scaioni M., 2010. “Automation in Multi-Image Spherical Photogrammetry for 3D Architectural Reconstructions.” In: Proc. 11th Int. Symp. “Virtual Reality, Archaelogy and Cultural Heritage (VAST 2010)”, 21-24 Sept., Paris (France), pp. 75-81, DOI: 10.2312/PE/VAST/VAST10S/075-081.
[57] Brumana R., Oreni D., Alba M., Barazzetti L., Cuca B., Scaioni M., 2011. “Panoramic UAV views for landscape heritage analysis integrated with historicalmaps atlases.” In: Proc. XXIII CIPA Int. Symp, 12-16 Sept., Praga (Rep. Ceca), 8 pp.
[58] Alba M.I., Barazzetti L., Scaioni M., Remondino F., 2011. “Automatic Registration of Multiple Laser Scans using Panoramic RGB and Intensity Images.” In Proc. ISPRS Work. “Laser Scanning 2011”, 29-31 Aug, Calgary (Alberta, Canada), IAPRS&SIS, Vol. XXXVIII, Part 5W12, 6 pp. (e-doc).
[59] Remondino, F., Barazzetti, L., Nex, F., Scaioni, M., Sarazzi, D., 2011. “UAV Photogrammetry for mapping and 3D modeling – Current status and future perspectives.” In: Proc. Int. Conf. “Unmanned Aerial Vehicle in Geomatics (UAV-g)”, Zurich (Switzerland), 14-16 Sept., IAPRS&SIS, Vol. XXXVIII, Part 1/C22A, 7 pp. (e-doc).
[60] Previtali, M., Barazzetti, L., Scaioni, M., Tian, Y., 2011. “An automatic multi-image procedure for accurate 3D object reconstruction.” In: Proc. “4th Int. Congress on Image and Signal Processing (CISP) 2011,” 15-17 Oct., Shanghai (P.R. China), Vol. 3, pp. 1400-1404, DOI:10.1109/CISP.2011.6100516 (ISBN: 78-1-4244-9306-7) [EI].
[61] Feng, T., Liu, X., Scaioni, M., Lin, X., Li, R., 2012. “Real-time Landslide Monitoring using Close-range Stereo Image Sequences Analysis.” In: Proc. “2012 Int. Conf. on Systems and Informatics (ICSAI 2012),” 19-21 May, Yantai (P.R. China), pp. 249-253, DOI:10.1109/ICSAI.2012.6223569 (ISBN: 8-1-4673-0199-2/1) [EI].
[62] Barazzetti, L., Previtali, M., Scaioni, M., 2012. “3D modeling from gnomonic projections.” In: Proc. XXII ISPRS Congress, Melbourne (Australia), 25 Aug-1 Sept, ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Science (ISPRS Annals PRS&SIS), Vol. I, Part 3, pp. 19-24, DOI:10.5194/isprsannals-I-3-19-2012.
[63] Scaioni, M., Lu, P., Chen, W., Wu, H.B., Qiao, G., Feng, T., Wang, W., Li, R., 2012. “Wireless Sensor Network based Monitoring on a Landslide Simulation Platform.” In: Proc. “8th Int. Conf. on Wireless Communications,Networking and Mobile Computing (WiCOM),” 21-23 Sept, Shanghai (P.R. China), 4 pp. (e-doc), DOI:10.1109/WiCOM.2012.6478743  (ISBN: 978-1-61284-683-5) [EI].
[64] Previtali, M., Barazzetti, L., Scaioni, M., 2012. “An automated and accurate procedure for texture mapping from images”. In: Proc. “18th Int. Conf. on Virtual Systems and Multimedia (VSMM) 2012,” 2-5 Sept, Milan (Italy), pp. 591-594, DOI: 10.1109/VSMM.2012.6365984 (ISBN: 978-1-4673-2563-9) [EI].
[65] Roncella, R., Romeo, E., Barazzetti, L., Gianinetto, M., Scaioni, M., 2012. “Comparative Analysis of Digital Image Correlation Techniques for In-plane Displacement Measurements.” In: Proc. 5th Int. Congress on “Image and Signal Processing (CISP) 2012,” 16-18 Oct., Chongqing (P.R. China), pp. 721-726, DOI:10.1109/CISP.2012.6469731 (ISBN: 78-1-4673-0964-6) [EI].
[66] Barazzetti, L., Gianinetto, M., Scaioni, M., 2012. “Automatic Image-based 3D Modeling for Medical Applications.” In: Proc. 5th Int. Conf. on “Image and Signal Processing (CISP) 2012,” 16-18 Oct., Chongqing (P.R. China), pp. 1402-1406 (ISBN: 978-1-4673-0962-2).
[67] Previtali, M., Scaioni, M., Barazzetti, L., Brumana, R., Roncoroni, F., 2013. “Automated detection of repeated structures in building facades.” In: Proc. ISPRS Work. “Laser Scanning 2013,” Antalya (Turkey), 11-13 Nov., ISPRS Annals PRS&SIS), Vol. II, Part 5/W2, pp. 241-246, DOI:10.5194/isprsannals-II-5-W2-253-2013.
[68] Scaioni, M., Tong, X., Li, R., 2013. “Application of glas laser altimetry to detect elevation changes in East Antarctica.” In: Proc. ISPRS Work. “Laser Scanning 2013,” Antalya (Turkey), 11-13 Nov., ISPRS Annals PRS&SIS), Vol. II, Part 5/W2, pp. 253-258, DOI: 10.5194/isprsannals-II-5-W2-241-2013.

Textul de pe ultima copertă

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’.

Caracteristici

A book focusing on how research findings can be cast into practice of landslide study, monitoring, and prediction Offers a quick overview of the state-of-the-art technologies in different fields: Geotechnics, Geophysics, Engineering Geology, Remote Sensing, and their integration Includes a selection of invited papers from well-known authors in their respective research fields