Lava Flow Roughness on the 2014–2015 Lava Flow-Field at Holuhraun, Iceland, Derived from Airborne LiDAR and Photogrammetry
| Autor: | Magnus O. Ulfarsson, Muhammad Aufaristama, Ingibjörg Jónsdóttir, Thorvaldur Thordarson, Ármann Höskuldsson |
|---|---|
| Přispěvatelé: | Jarðvísindastofnun (HÍ), Institute of Earth Sciences (UI), Jarðvísindadeild (HÍ), Faculty of Earth Sciences (UI), Rafmagns- og tölvuverkfræðideild (HÍ), Faculty of Electrical and Computer Engineering (UI), Verkfræði- og náttúruvísindasvið (HÍ), School of Engineering and Natural Sciences (UI), Háskóli Íslands, University of Iceland |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
TPI
LiDAR 010504 meteorology & atmospheric sciences Lava Flow (psychology) Hraunrennsli Surface finish 010502 geochemistry & geophysics photogrammetry 01 natural sciences Lava field Surface roughness Loftmyndir lava roughness Geomorphology 0105 earth and related environmental sciences Hurst exponent geography geography.geographical_feature_category lcsh:QE1-996.5 Kortagerð lcsh:Geology Lidar Photogrammetry Lava roughness General Earth and Planetary Sciences Hraun Geology |
| Zdroj: | Geosciences, Vol 10, Iss 125, p 125 (2020) Geosciences Volume 10 Issue 4 |
| ISSN: | 2076-3263 |
| Popis: | 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&ndash 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&ndash 2015 lava field at Holuhraun has a strong tendency in 0.5, both TPI and Hurst exponent successfully derive quantitative flow roughness. |
| Databáze: | OpenAIRE |
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