Portland State University PDXScholar Geology Faculty Publications and Presentations Geology 10-2-2019 Remote Characterization of Dominant Wavelengths From Surface Folding on Lava Flows Using Lidar and Discrete Fourier Transform Analyses Nicholas Deardorff Indiana University of Pennsylvania Adam M. Booth Portland State University,
[email protected] Katharine Cashman University of Bristol Follow this and additional works at: https://pdxscholar.library.pdx.edu/geology_fac Part of the Geology Commons, and the Volcanology Commons Let us know how access to this document benefits ou.y Citation Details Deardorff, N., Booth, A., & Cashman, K. (2019). Remote Characterization of Dominant Wavelengths From Surface Folding on Lava Flows Using Lidar and Discrete Fourier Transform Analyses. Geochemistry, Geophysics, Geosystems, 20(8), 3952-3970. This Article is brought to you for free and open access. It has been accepted for inclusion in Geology Faculty Publications and Presentations by an authorized administrator of PDXScholar. Please contact us if we can make this document more accessible:
[email protected]. RESEARCH ARTICLE Remote Characterization of Dominant Wavelengths From 10.1029/2019GC008497 Surface Folding on Lava Flows Using Lidar and Discrete Key Points: • Discrete Fourier transform (DFT) Fourier Transform Analyses analyses can be used to extract Nicholas Deardorff1 , Adam Booth2 , and Katharine Cashman3 dominant wavelengths of lava flow surface folds from digital terrain 1Department of Geoscience, Indiana University of Pennsylvania, Indiana, PA, USA, 2Department of Geology, Portland models 3 • Average dominant wavelengths State University, Portland, OR, USA, School of Earth Sciences, University of Bristol, Bristol, UK determined through discrete Fourier transform (DFT) analyses generally increase with viscosity Abstract Surface folding is common in lava flows of all compositions and is believed to be due to changes • DFT power spectral densities fl fl fl fi in viscosity and ow velocity between the cooling crust and the more uid ow interior.