Lava Flow Roughness on the 2014–2015 Lava Flow-Field at Holuhraun, Iceland, Derived from Airborne LiDAR and Photogrammetry

Aufaristama, Muhammad; Höskuldsson, Ármann; Ulfarsson, Magnus Orn; Jónsdóttir, Ingibjörg; Thordarson, Thorvaldur

doi:10.3390/geosciences10040125

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Lava Flow Roughness on the 2014–2015 Lava Flow-Field at Holuhraun, Iceland, Derived from Airborne LiDAR and Photogrammetry

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Thorvaldur Thordarson

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Institute of Earth Sciences, University of Iceland, Sturlugata 7, 101 Reykjavík, Iceland

Faculty of Earth Sciences, University of Iceland, Sturlugata 7, 101 Reykjavík, Iceland

Faculty of Electrical and Computer Engineering, University of Iceland, Hjardarhagi 2-7, 107 Reykjavik, Iceland

Author to whom correspondence should be addressed.

Geosciences 2020, 10(4), 125; https://doi.org/10.3390/geosciences10040125

Received: 24 February 2020 / Revised: 22 March 2020 / Accepted: 27 March 2020 / Published: 31 March 2020

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Abstract

Roughness can be used to characterize the morphologies of a lava flow. It can be used to identify lava flow features, provide insight into eruption conditions, and link roughness pattern across a lava flow to emplacement conditions. In this study, we use both the topographic position index (TPI) and the one-dimensional Hurst exponent (H) to derive lava flow unit roughness on the 2014–2015 lava field at Holuhraun using both airborne LiDAR and photogrammetric datasets. The roughness assessment was acquired from four lava flow features: (1) spiny lava, (2) lava pond, (3) blocky surface, and (4) inflated channel. The TPI patterns on spiny lava and inflated channels show that the intermediate TPI values correspond to a small surficial slope indicating a flat and smooth surface. Lava pond is characterized by low to high TPI values and forms a wave-like pattern. Meanwhile, irregular transitions patterns from low to high TPI values indicate a rough surface that is found in blocky surface and flow margins. The surface roughness of these lava features falls within the H range of 0.30 ± 0.05 to 0.76 ± 0.04. The roughest surface is the blocky, and inflated lava flows appear to be the smoothest surface among these four lava units. In general, the Hurst exponent values in the 2014–2015 lava field at Holuhraun has a strong tendency in 0.5, both TPI and Hurst exponent successfully derive quantitative flow roughness. View Full-Text

Keywords: lava roughness; TPI; Hurst exponent; LiDAR; photogrammetry

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MDPI and ACS Style

Aufaristama, M.; Höskuldsson, Á.; Ulfarsson, M.O.; Jónsdóttir, I.; Thordarson, T. Lava Flow Roughness on the 2014–2015 Lava Flow-Field at Holuhraun, Iceland, Derived from Airborne LiDAR and Photogrammetry. Geosciences 2020, 10, 125. https://doi.org/10.3390/geosciences10040125

AMA Style

Aufaristama M, Höskuldsson Á, Ulfarsson MO, Jónsdóttir I, Thordarson T. Lava Flow Roughness on the 2014–2015 Lava Flow-Field at Holuhraun, Iceland, Derived from Airborne LiDAR and Photogrammetry. Geosciences. 2020; 10(4):125. https://doi.org/10.3390/geosciences10040125

Chicago/Turabian Style

Aufaristama, Muhammad, Ármann Höskuldsson, Magnus O. Ulfarsson, Ingibjörg Jónsdóttir, and Thorvaldur Thordarson. 2020. "Lava Flow Roughness on the 2014–2015 Lava Flow-Field at Holuhraun, Iceland, Derived from Airborne LiDAR and Photogrammetry" Geosciences 10, no. 4: 125. https://doi.org/10.3390/geosciences10040125

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Lava Flow Roughness on the 2014–2015 Lava Flow-Field at Holuhraun, Iceland, Derived from Airborne LiDAR and Photogrammetry

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