Repeat surveys of the topography of the main vent of the 2014–2015 eruption at Holuhraun, Iceland: Merged LiDAR and UAS point clouds from 2015, 2016, 2018, and 2019 ...
Dataset Format: 3D point clouds in LAS (.las) format. Abstract: Repeat surveys with both a tripod-mounted terrestrial laser scanning (TLS) and an unoccupied aircraft system (UAS) were conducted of the main vent (informally named Baugur) of the 2014-2015 Holuhraun volcanic eruption in northern Icelan...
| Main Authors: | , , , , |
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| Format: | Dataset |
| Language: | unknown |
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University of Arizona Research Data Repository
2024
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| Online Access: | https://dx.doi.org/10.25422/azu.data.19680372 https://arizona.figshare.com/articles/dataset/Repeat_surveys_of_the_topography_of_the_main_vent_of_the_2014_2015_eruption_at_Holuhraun_Iceland_Merged_LiDAR_and_UAS_point_clouds_from_2015_2016_2018_and_2019/19680372 |
| Summary: | Dataset Format: 3D point clouds in LAS (.las) format. Abstract: Repeat surveys with both a tripod-mounted terrestrial laser scanning (TLS) and an unoccupied aircraft system (UAS) were conducted of the main vent (informally named Baugur) of the 2014-2015 Holuhraun volcanic eruption in northern Iceland (64.87° N, 16.84° W) to generate a high-resolution topographic time series. The TLS and UAS datasets were merged to get complete horizontal spatial coverage and to fill gaps in the TLS coverage due to obscuration from the ground-based perspective within the vent. Merged datasets were registered to the 2015 TLS point cloud in a relative sense. Merged 3D topographic models of Baugur from 2015, 2016, 2018, and 2019 were then compared to quantify the topographic change from year to year (Sutton et al. 2024 ). Purpose: These data were acquired to create a time series for topographic change detection analysis of the degradation of a spatter rampart within the first years immediately following the cessation of eruptive ... |
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