Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018) 2018
DOI: 10.1117/12.2326173
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UAS multi-camera rig for post-earthquake damage 3D geovisualization of Vrisa village

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Cited by 9 publications
(5 citation statements)
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“…There are many types of sensors available as UAS payloads like RGB, thermal and multispectral cameras, LIDAR systems, etc. Some UAS due to their size and endurance have the ability to carry more than one payload in a single mission, using different sensors or multi-camera rigs [15,41]. The selection of the proper payload is crucial for the quality and reliability of the collected data.…”
Section: Sensor Parametersmentioning
confidence: 99%
“…There are many types of sensors available as UAS payloads like RGB, thermal and multispectral cameras, LIDAR systems, etc. Some UAS due to their size and endurance have the ability to carry more than one payload in a single mission, using different sensors or multi-camera rigs [15,41]. The selection of the proper payload is crucial for the quality and reliability of the collected data.…”
Section: Sensor Parametersmentioning
confidence: 99%
“…Modelling software has been used for active events and simulations such as landslides, flooding mitigation, and rockfalls (Jacquinod and Julia Bonaccorsi, 2019;Forsythe et al, 2021;Nordvik et al, 2009;Zhang et al, 2020). It has also been used in static instances to create more in depth maps and 3D recreations of coastlines, bathymetry, and terrain (Sarakinou et al, 2016;Papakonstantinou et al, 2018;Papadopoulou et al, 2021;de Magalhaes et al, 2020).…”
Section: D Modelling Softwarementioning
confidence: 99%
“…These drones have been particularly valuable in post-earthquake emergency scenarios, as they can efficiently document the state of an area and ensure the safety of all personnel involved [39]. The combination of UAVs and photogrammetric methods has been successfully employed in reconnaissance missions following major earthquakes in L'Aquila, Italy in 2009 [40,41], Kumamoto, Japan in 2016, Amatrice, Italy in 2016 [42,43], Kaikoura, New Zealand in 2016, and Lesvos, Greece in 2017 [44]. To effectively monitor the post-disaster status and track the progress of recovery efforts, it is crucial to have high-resolution geospatial data for a detailed representation of the disaster.…”
Section: Related Workmentioning
confidence: 99%