Abstract
This paper presents a literature review on the methodology called Volunteered Geographic Information (VGI) and its use for Landslide Risk Assessment (LRA). General risk assessment procedures are discussed and the potential contributions of VGI are identified, in particular when quantitative characterization of factors such as Hazard, Vulnerability and Exposure is required. The review shows that the standard LRA procedures may benefit from input given by surveyors when performing hazard assessments, while crowdsourced data would be a valuable support in vulnerability/damage assessment studies. The review also highlights several limitations related to the role of VGI and crowdsourcing in LRA.
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References
Horita, F.E.A., Degrossi, L.C., de Assis, L.F.G., Zipf. A., de Albuquerque. J.P.: The Use of Volunteered Geographic Information (VGI) and Crowdsourcing in Disaster Management: a Systematic Literature Review. AIS Electronic Library (AISeL) (2013)
Manfré, L.A., Hirata, E., Silva, J.B., Shinohara, E.J., Giannotti, M.A., Larocca, A.P.C., Quintanilha, J.A.: An Analysis of Geospatial Technologies for Risk and Natural Disaster Management. ISPRS Int. J. Geo-Inf. 1(2), 166–185 (2012)
Schelhorn, S.J., Herfort, B., Leiner, R., Zipf, A., de Albuquerque, J.P.: Identifying elements at risk from openstreetmap: the case of flooding. In: Proceedings of the 11th International ISCRAM Conference. University Park, Pennsylvania (2014)
Horita, F.E., de Albuquerque, J.P.: An approach to support decision-making in disaster management based on volunteer geographic information (VGI) and spatial decision support systems (SDSS). In: Proceedings of the 10th International Conference on Information Systems for Crisis Response and Management, Baden-Baden, Germany, pp. 12–15 (2013)
Poser, K., Dransch, D.: Volunteered Geographic Information for Disaster Management with Application to Rapid Flood Damage Estimation. Geomatica 64(1), 89–98 (2010)
Guha-Sapir, D., Hoyois, Ph, Below, R.: Annual Disaster Statistical Review (2013). The numbers and trends. Centre for Research on the Epidemiology of Disasters, Brussels (2014)
United Nations International Strategy for Disaster Reduction (UNISDR): Terminology on Disaster Risk Reduction. United Nations (2009)
Crozier, M.J., Glade, T.: Landslide hazard and risk: issues, concept and approach. In: Glade, T., Anderson, M., Crozier, M.J. (eds.) Landslide Hazard and Risk, pp. 1–40. John Wiley and Sons (2005)
Varnes, D.J.: IAEG. Landslide Hazard Zonation - A Review of Principles and Practice. Commission on Landslides, p. 60. UNESCO, Paris (1984)
Duzgun, H.S.B., Lacasse, S.: Vulnerability and acceptable risk in integrated risk assessment framework. In: International Conference on Landslide Risk Management and 18th Vancouver Geotechnical Society Symposium (2005)
Mancini, F., Ceppi, C., Ritrovato, G.: GIS and Statistical Analysis for Landslide Susceptibility Mapping in the Daunia Area (Italy). Nat. Hazards Earth Syst. Sci. 10(9), 1851–1864 (2010)
Castagnetti, C., Bertacchini, E., Corsini, A., Capra, A.: Multi-sensors Integrated System for Landslide Monitoring: Critical Issues in System Setup and Data Management. Eur. J. Remote Sens. 46, 104–124 (2013)
Mancini, F., Dubbini, M., Gattelli, M., Stecchi, F., Fabbri, S., Gabbianelli, G.: Using Unmanned Aerial Vehicles (UAV) for High-resolution Reconstruction of Topography: The Structure from Motion Approach on Coastal Environments. Remote Sens. 5(12), 6880–6898 (2013)
Bertacchini, E., Castagnetti, C., Corsini, A., De Cono, S.: Remotely piloted aircraft systems (RPAS) for high resolution topography and monitoring: civil protection purposes on hydrogeological contexts. In: SPIE Remote Sensing, pp. 924515–924515. International Society for Optics and Photonics (2014)
Turner, D., Lucieer, A., de Jong, S.M.: Time Series Analysis of Landslide Dynamics Using an Unmanned Aerial Vehicle (UAV). Remote Sens. 7(2), 1736–1757 (2015)
Corsini, A., Berti, M., Monni, A., Pizziolo, M., Bonacini, F., Cervi, F., Ciccarese, G., Ronchetti, F., Bertacchini, E., Capra, A., Gallucci, A., Generali, M., Gozza, G., Pancioli, V., Pignone, S., Truffelli, G.: Rapid assessment of landslide activity in emilia romagna using gb‐insar short surveys. In: Landslide Science and Practice, vol. 2, pp. 391–399. Springer, Berlin (2013). ISBN: 9783642314452, Rome, 3-7, October 2011
Corsini, A., Castagnetti, C., Bertacchini, E., Rivola, R., Ronchetti, F., Capra, A.: Integrating Airborne and Multi-temporal Long-range Terrestrial Laser Scanning with Total Station Measurements for Mapping and Monitoring a Compound Slow Moving Rock Slide. Earth Surf. Proc. Land. 38, 1330–1338 (2013)
Castagnetti, C., Bertacchini, E., Corsini, A., Rivola, R.: A reliable methodology for monitoring unstable slopes: the multi-platform and multi-sensor approach. In: Proceedings of the SPIE, Earth Resources and Environmental Remote Sensing/GIS Applications V (2014)
Fell, R., Ho, K.K.S., Lacasse, S., Leroi, E.: State of the art paper 1-A framework for landslide risk assessment and management. In: Proceedings of the International Conference on Landslide Risk Management, Vancouver, BC, Canada (2005)
Fell, R.: Landslide Risk Assessment and Acceptable Risk. Canadian Geotechnical Journal 31, 261–272 (1994)
Camponovo, M.E., Freundschuh, S.M.: Assessing Uncertainty in VGI for Emergency Response. Cartogr. Geogr. Inf. Sci., 1–16 (2014)
Coleman, D.J.: Potential Contributions and Challenges of VGI for Conventional Topographic Base-mapping Programs. In: Sui, D., Elwood, S., Goodchild, M. (eds.) Crowdsourcing Geographic Knowledge: Volunteered Geographic Information (VGI) in Theory and Practice. Springer Science+Business Media, Dordrecht (2013)
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Mancini, F., Capra, A., Castagnetti, C., Ceppi, C., Bertacchini, E., Rivola, R. (2015). Contribution of Geomatics Engineering and VGI Within the Landslide Risk Assessment Procedures. In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2015. ICCSA 2015. Lecture Notes in Computer Science(), vol 9156. Springer, Cham. https://doi.org/10.1007/978-3-319-21407-8_45
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DOI: https://doi.org/10.1007/978-3-319-21407-8_45
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