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Meteorological and multi-scale topographic data from survey pole, UAV, TLS and ALS used to analyse glacier aerodynamic roughness on Hintereisferner glacier, Austria, August 2018 - VERSION 2.0
GB/NERC/BAS/PDC/01497

Summary

Abstract:
Meteorological variables (wind speed, air temperature and wind direction) were collected using two wind towers. Photogrammetric data were collected using a pole-mounted digital camera and DJI Phantom 3 UAV. LiDAR data collected via terrestrial and airborne laser scanning. Fieldwork carried out at Hintereisferner glacier, in the Oetztal Alps region, Tyrol, Austria, from 1-15 August 2018 by Joshua Chambers, Thomas Smith and Mark Smith. Terrestrial laser scan (TLS) data collected by Rudolf Sailer. Airborne laser scan (ALS) data originally from Open Data Austria, see Sailer et al. (2012). One wind tower recorded for the entire study duration, the second was moved to different plots every ~4 days. Photogrammetric data were collected on 8, 10, 11, 12 and 13 August. TLS scans were split into upper- and lower-glacier, and completed on 3, 7, 12 and 16 August. Data were used to examine the relations between glacier aerodynamic roughness and sampling resolution, and to develop a correction factor for roughness derived from coarser resolution data.

Fieldwork was funded by an INTERACT Transnational Access grant awarded to Mark Smith under the European Union H2020 Grant Agreement No. 730938. Joshua Chambers is supported by a NERC PhD studentship (NE/L002574/1). Ivana Stiperski was funded by Austrian Science Fund (FWF) grant T781-N32.

Keywords:
SfM, TLS, aerodynamic roughness, glacier, multi-scale, z0

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Citation

Chambers, J., Smith, M., Smith, T., Sailer, R., Quincey, D., Carrivick, J., Nicholson, L., Mertes, J., & Stiperski, I. (2021). Meteorological and multi-scale topographic data from survey pole, UAV, TLS and ALS used to analyse glacier aerodynamic roughness on Hintereisferner glacier, Austria, August 2018 - VERSION 2.0 (Version 2.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/57eb95f0-1650-4670-a1bb-8ccc90cb1c5f

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