Point cloud data and visualisation of the englacial channel exiting the portal of Austre Broggerbreen, Svalbard, in March 2017

The dataset encompasses the processed point clouds (.pts format), a panoramic tour, and a video flythrough of registered point clouds capturing a 273 m long reach of the englacial portal channel in the glacier, Austre Broggerbreen, Svalbard, in March 2017. Point clouds were derived from 27 Terrestri...

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Bibliographic Details
Main Authors: Kamintzis, Jayne, Jennings, Stephen, Porter, Philip, Irvine-Fynn, Tristram, Holt, Thomas, Jones, John, Hubbard, Bryn
Format: Dataset
Language:English
Published: UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation 2019
Subjects:
Online Access:https://dx.doi.org/10.5285/4859dc19-e8e9-4148-8c50-cb2ab16dc696
https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01154
Description
Summary:The dataset encompasses the processed point clouds (.pts format), a panoramic tour, and a video flythrough of registered point clouds capturing a 273 m long reach of the englacial portal channel in the glacier, Austre Broggerbreen, Svalbard, in March 2017. Point clouds were derived from 27 Terrestrial Laser Scanning (TLS) surveys, to characterise the morphology of the channel in three-dimensions and enable extraction of features reflective of hydrological flow conditions. The panoramic tour shows a greyscale image of the scan reflectivity values at each survey location, whereby the lighter the pixel colour, the greater the intensity of the laser beam return. This panoramic tour enables the viewer to self-navigate through the channel to see the morphological features within it. The video flythrough of the point cloud provides a visualisation of the point cloud data, travelling from the portal exit to the extent of the scanned reach. The point cloud has been coloured to reflect differences in height above the portal exit. Funding source Knowledge Economy Skills Scholarship (KESS II) under Project AU10003, a pan-Wales higher-level skills initiative led by Bangor University of behalf of the HE sector in Wales. It is part funded by the Welsh Government's European Social Fund (ESF) convergence programme for West Wales and the Valleys. Funding was awarded to TDLI-F and JEK, with support from Deri Jones & Associates Ltd. Additional support is acknowledged from Aberystwyth University (Department of Geography and Earth Sciences). : Data was collected using a FARO (registered trademark) Focus3D X 330 phase-shift scanner with a shortwave infrared wavelength of 1550 nm, mounted on a GitzoTM Mountaineer carbon fibre tripod using a heavy duty 3/8" camera fast-release mount. Scans were conducted throughout the channel reach at a horizontal spacing of between 6 and 26 m, at a height of either 1.8 m below a step in the channel longitudinal profile, or 1.2 m above the step. All scans were conducted at 1/5 resolution, providing point spacing of 7.67 mm at 10 m distance. Scan locations were determined by the channel morphology, with positioning of the scanner to obtain the greatest wall coverage with the minimum number of scans, and to prevent channel morphology from occluding parts of the channel. A4 planar checkerboard targets were inserted into the channel walls using ice screws and crocodile clips and A5 planar checkerboard targets were placed at intervals of > 1 m along the channel floor. Targets were placed strategically to enable registration of the point clouds to one another, with a minimum of 3 common targets between each adjacent scan. The initial scan was conducted at the exit to the channel and, thus, the GPS location of this scan was used to georeference the scans below the ice. The point clouds were manually registered to one another in an upstream direction from the portal exit using the targets in FARO (registered trademark) SCENE 5 software, with the use of distance based and stray filtering processes to remove points > 30 m away from the scanner and points arising from the laser beam hitting 2 surfaces. As the scanner tripod legs were visible in the point clouds, 3D Reshaper 2018 software was used to manually remove them. Jpeg images of the scan reflectivity values were exported from FARO (registered trademark) SCENE 5 and linked in Kolor Panotour Pro 2.5 software to create a 360deg visualisation from each scan location, with inbuilt links to the adjacent scans and a map of the channel platform. Point clouds were imported into Bentley Pointools CONNECT Edition software and the colour range was changed to reflect the height of each point above the initial scan location. Recording of camera positions throughout the channel was used to create a video flythrough of the point clouds. : Terrestrial laser scanner - FARO (registered trademark) Focus3D X 330 Software - FARO (registered trademark) SCENE 5, 3D Reshaper 2018, Bentley Pointools CONNECT Edition, Kolor Panotour Pro 2.5. : Each scan has been registered to the preceding scan with a mean registration accuracy of 3.3 mm. This error is the standard deviation of the orthogonal registration mismatch, expressed as cumulative distance offset in the X, Y and Z planes. Due to the unclosed traverse preventing equal error distribution between scans, the maximum combined absolute error at the end of the traverse is 85 mm, derived as the sum of orthogonal registration mismatches for the 27 scans. Cleaning of the data used the 'distance based' and 'stray' filters within the FARO® SCENE 5 software to remove points > 30 m from each scan position and scan points that resulted from the laser beam hitting two objects. Data losses are the result of the clean, shiny, smooth ice surfaces within the englacial channel, with these surfaces failing to provide laser returns due to the infrared absorption. This also occurred in point clouds where the channel base was covered by liquid water.