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POST-EARTHQUAKE 3D BUILDING MODEL (LOD2) GENERATION FROM UAS IMAGERY: THE CASE OF VRISA TRADITIONAL SETTLEMENT, LESVOS, GREECE
Copyright policy )POST-EARTHQUAKE 3D BUILDING MODEL (LOD2) GENERATION FROM UAS IMAGERY: THE CASE OF VRISA TRADITIONAL SETTLEMENT, LESVOS, GREECE
Abstract. In recent years 3D building modelling techniques are commonly used in various domains such as navigation, urban planning and disaster management, mostly confined to visualization purposes. The 3D building models are produced at various Levels of Detail (LOD) in the CityGML standard, that not only visualize complex urban environment but also allows queries and analysis. The aim of this paper is to present the methodology and the results of the comparison among two scenarios of LOD2 building models, which have been generated by the derivate UAS data acquired from two flight campaigns in different altitudes. The study was applied in Vrisa traditional settlement, Lesvos island, Greece, which was affected by a devastating earthquake of Mw = 6.3 on 12th June 2017. Specifically, the two scenarios were created by the results that were derived from two different flight campaigns which were: i) on 12th January 2020 with a flying altitude of 100 m and ii) on 4th February 2020 with a flying altitude of 40 m, both with a nadir camera position. The LOD2 buildings were generated in a part of Vrisa settlement consisted of 80 buildings using the footprints of the buildings, Digital Surface Models (DSMs), a Digital Elevation Model (DEM) and orthophoto maps of the area. Afterwards, a comparison was implemented between the LOD2 buildings of the two different scenarios, with their volumes and their heights. Subsequently, the heights of the LOD2 buildings were compared with the heights of the respective terrestrial laser scanner (TLS) models. Additionally, the roofs of the LOD2 buildings were evaluated through visual inspections. The results showed that the 65 of 80 LOD2 buildings were generated accurately in terms of their heights and roof types for the first scenario and 64 for the second respectively. Finally, the comparison of the results proved that the generation of post-earthquake LOD2 buildings can be achieved with the appropriate UAS data acquired at a flying altitude of 100 m and they are not affected significantly by a lower one altitude.
- University of the Aegean Greece
Library of Congress Subject Headings: lcsh:Applied optics. Photonics lcsh:T lcsh:TA1501-1820 lcsh:Technology lcsh:TA1-2040 lcsh:Engineering (General). Civil engineering (General)
Microsoft Academic Graph classification: Settlement (structural) Orthophoto Building model Altitude Nadir Environmental science CityGML Digital elevation model Roof Remote sensing
Library of Congress Subject Headings: lcsh:Applied optics. Photonics lcsh:T lcsh:TA1501-1820 lcsh:Technology lcsh:TA1-2040 lcsh:Engineering (General). Civil engineering (General)
Microsoft Academic Graph classification: Settlement (structural) Orthophoto Building model Altitude Nadir Environmental science CityGML Digital elevation model Roof Remote sensing
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Papadimitriou, P., Tselentis, G.A., Voulgaris, N., Kouskouna, V., Lagios, E., Kassaras, I., Kaviris, G., Pavlou, K., Sakkas, V., Moumoulidou, A., Karakonstantis, A., Kapetanidis, V., Sakkas, G., Kazantzidou, D., Aspiotis, T., Fountoulakis, I., Millas, C., Spingos, I., Lekkas, E., Antoniou, V., Mavroulis, S., Skourtsos, E., Andreadakis, E., 2017. Preliminary report on the Lesvos 12 June 2017 Mw=6.3 earthquake.
Papakonstantinou, A., Doukari, M., Roussou, O., Drolias, G., Chaidas, K., Moustakas, A., Athanasis, N., Topouzelis, K., Soulakellis, N., 2018. UAS multi-camera rig for postearthquake damage 3D Geovisualization of Vrisa village, in Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018). [OpenAIRE]
https://doi.org/https://doi.org/10.1117/12.2326173 Soulakellis, N., Chatzistamatis, S., Vasilakos, C., Tataris, G., Papakonstantinou, A., Kavroudakis, D., Topouzelis, K., Roussou, O., Kalloniatis, C., Papadopoulou, E.E., Chaidas, K., Kalaitzis, P., 2018. Synergistic exploitation of geoinformation methods for post-earthquake 3D mapping of Vrisa traditional settlement, Lesvos island, Greece, Int. Arch. Photogramm.
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https://doi.org/https://doi.org/10.5194/isprs-archives-XLII-3- W4-491-2018 Tang, L., Ying, S., Li, L., Biljecki, F., Zhu, H., Zhu, Y., Yang, F., Su, F., 2020. An application-driven LOD modeling paradigm for 3D building models. ISPRS Journal of Photogrammetry and Remote Sensing, 161, 194-207.
https://doi.org/10.1016/j.isprsjprs.2020.01.019 Tu, J., Li, D., Feng, W., Han, Q., Sui, H., 2017. Detecting damaged building regions based on semantic scene change from multi-Temporal high-resolution remote sensing images. ISPRS International Journal of Geo-Information 6, 131.
https://doi.org/10.3390/ijgi6050131 Virtualcity Systems Building Reconstruction. Available online: http://www.virtualcitysystems.de/en/products/buildingreconstru ction (04 June 2020).
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citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).2 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).2 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!- University of the Aegean Greece
Abstract. In recent years 3D building modelling techniques are commonly used in various domains such as navigation, urban planning and disaster management, mostly confined to visualization purposes. The 3D building models are produced at various Levels of Detail (LOD) in the CityGML standard, that not only visualize complex urban environment but also allows queries and analysis. The aim of this paper is to present the methodology and the results of the comparison among two scenarios of LOD2 building models, which have been generated by the derivate UAS data acquired from two flight campaigns in different altitudes. The study was applied in Vrisa traditional settlement, Lesvos island, Greece, which was affected by a devastating earthquake of Mw = 6.3 on 12th June 2017. Specifically, the two scenarios were created by the results that were derived from two different flight campaigns which were: i) on 12th January 2020 with a flying altitude of 100 m and ii) on 4th February 2020 with a flying altitude of 40 m, both with a nadir camera position. The LOD2 buildings were generated in a part of Vrisa settlement consisted of 80 buildings using the footprints of the buildings, Digital Surface Models (DSMs), a Digital Elevation Model (DEM) and orthophoto maps of the area. Afterwards, a comparison was implemented between the LOD2 buildings of the two different scenarios, with their volumes and their heights. Subsequently, the heights of the LOD2 buildings were compared with the heights of the respective terrestrial laser scanner (TLS) models. Additionally, the roofs of the LOD2 buildings were evaluated through visual inspections. The results showed that the 65 of 80 LOD2 buildings were generated accurately in terms of their heights and roof types for the first scenario and 64 for the second respectively. Finally, the comparison of the results proved that the generation of post-earthquake LOD2 buildings can be achieved with the appropriate UAS data acquired at a flying altitude of 100 m and they are not affected significantly by a lower one altitude.