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

• Main Authors: Sarah S Sutton, Jacob Richardson, Patrick Whelley, Stephen P. Scheidt, Christopher W. Hamilton
• Format: Dataset
• Language: unknown
• Published: 2023
• Subjects: Volcanology; Fissure vent; topography; change detection; LiDAR; Iceland; spatter rampart; Vatnajökull
• Online Access: https://doi.org/10.25422/azu.data.19680372.v2; https://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

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 activity. Credits/Funding Sources: Research was conducted with permission from Vatnajökull National Park Service (Vatnajökulsþjóðgarður). Data Status and Update Plans: This data set is complete Time period represented in the dataset (YYYYMMDD): 20150821–20150826 20160728–20160803 20180802–20180809 20190729–20190801 Data Quality: Attribute Accuracy: Horizontal units for each point in the dataset are in meters. Vertical units are meters, with scaling = 1.0. TLS point spacing, maximum 2 cm voxels (using the octree method to filter the original point clouds). UAS-derived DEMs: 20 cm grid (2016 and 2018), or 12 cm grid (2019) resulting in 3D point clouds of similar spacing. Merged data point cloud spatial resolution is a combination of the TLS and UAS point densities (Fig. S1). Logical Consistency: Quality checks were performed to verify that the merged data were consistent, and that year-to-year relative registration processes minimized differences in non-changing terrain. Completeness: Dataset is considered ...