Abstract
This paper presents a methodological framework, which establishes links among the: i. 3D mapping, ii. 3D model creation and iii. damage classification grades of masonry buildings by European Macroseismic Scale-98 and the application of geoinformation methods towards 3D mapping and damage assessment after a catastrophic earthquake event. We explore the synergistic exploitation of a Real Time Kinematics system, terrestrial photogrammetry, Unmanned Aircraft Systems and terrestrial laser scanner for collecting accurate and high-resolution geospatial information. The proposed workflow was applied at the catastrophic earthquake of June 12th, 2017 on the traditional settlement of Vrisa on the island of Lesvos, Greece. The Structure from Motion method has been applied on the high-resolution terrestrial and aerial photographs, for producing accurate and very detailed 3D point clouds of the damaged buildings of the Vrisa settlement. Additionally, two Orthophoto maps and two Digital Surface Models have been created, with a spatial resolution of 5 cm and 3 cm, respectively. The first orthophoto map has been created just one day after the earthquake, while the second one, a month later. The significant advantages of the proposed methodology are: (a) the production of reliable and accurate 2D and 3D information at both village and building scales, (b) the ability to support scientists during building damage assessment phase and (c) the proposed damage documentation provides all the appropriate information which can augment all experts and stakeholders, national and local organizations focusing on the post-earthquake management and reconstruction processes of the Vrisa traditional village.
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Acknowledgements
This paper is a result of the research project “3D mapping of Vrisa settlement after the 12th June Lesvos earthquake” funded by the North Aegean Region. The authors would like to thank Prof. Pavlogeorgatos G., Chaidas K., Kalaitzis P., Kaloniatis Ch., Doukari M., Drolias A., Mauroeidi A., Zorbas K., Papazis N., Moustakas, A. and Makri D. for supporting the processing stage of this project. In this publication the work related to UAS data acquisition and UAS-SfM process has been carried out within the framework of the Greek State Scholarship Foundation (I.K.Y.) Scholarship Programs funded by the “Strengthening Post-Doctoral Research” Act from the resources of the OP “Human Resources Development and Lifelong Learning “priority axis 6, 8, 9 and co-financed by the European Social Fund–ESF and the Greek government.
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Soulakellis, N. et al. (2019). Synergistic Exploitation of Geoinformation Methods for Post-earthquake 3D Mapping and Damage Assessment. In: Altan, O., Chandra, M., Sunar, F., Tanzi, T. (eds) Intelligent Systems for Crisis Management. Gi4DM 2018. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-030-05330-7_1
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