Articles | Volume 19, issue 9
Research article
17 Sep 2019
Research article |  | 17 Sep 2019

Pre-disaster mapping with drones: an urban case study in Victoria, British Columbia, Canada

Maja Kucharczyk and Chris H. Hugenholtz

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Cited articles

Achille, C., Adami, A., Chiarini, S., Cremonesi, S., Fassi, F., Fregonese, L., and Taffurelli, L.: UAV-based photogrammetry and integrated technologies for architectural applications—methodological strategies for the after-quake survey of vertical structures in Mantua (Italy), Sensors, 15, 15520–15539,, 2015. 
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Alsadik, B., Gerke, M., and Vosselman, G.: Visibility analysis of point cloud in close range photogrammetry, in: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS Technical Commission V Symposium, 23–25 June 2014, Riva del Garda, Italy, 9–16, 2014. 
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Calantropio, A., Chiabrando, F., Sammartano, G., Spanò, A., and Losè, L. T.: UAV Strategies Validation and Remote Sensing Data for Damage Assessment in Post-Disaster Scenarios, in: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-3/W4, 2018 GeoInformation For Disaster Management (Gi4DM), 18–21 March 2018, Istanbul, Turkey, 121–128, 2018. 
Short summary
We performed pre-disaster 3-D mapping with a drone in downtown Victoria, BC, Canada. This was the first drone mapping mission over a Canadian city approved by Canada’s aviation authority. We were legally constrained to using a specific drone. The goal was to assess the quality of the 3-D map. Results indicate that the spatial accuracies achieved with this drone would allow for sub-meter building collapse detection, but the non-tilting camera was insufficient for mapping buildings in 3-D.
Final-revised paper