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LiDAR-Derived Surface Roughness Signatures of Basaltic Lava Types at the Muliwai a Pele Lava Channel, Mauna Ulu, Hawai'iWe used light detection and ranging (LiDAR) data to calculate roughness patterns (homogeneity, mean-roughness, and entropy) for five lava types at two different resolutions (1.5 and 0.1 m/pixel). We found that end-member types (a a and pahoehoe) are separable (with 95% confidence) at both scales, indicating that roughness patterns are well suited for analyzing types of lava. Intermediate lavas were also explored, and we found that slabby-pahoehoe is separable from the other end-members using 1.5 m/pixel data, but not in the 0.1 m/pixel analysis. This suggests that the conversion from pahoehoe to slabby-pahoehoe is a meter-scale process, and the finer roughness characteristics of pahoehoe, such as ropes and toes, are not significantly affected. Furthermore, we introduce the ratio ENT/HOM (derived from lava roughness) as a proxy for assessing local lava flow rate from topographic data. High entropy and low homogeneity regions correlate with high flow rate while low entropy and high homogeneity regions correlate with low flow rate.We suggest that this relationship is not directional, rather it is apparent through roughness differences of the associated lava type emplaced at the high and low rates, respectively.
Document ID
20180000737
Document Type
Reprint (Version printed in journal)
Authors
Whelley, Patrick L. (Maryland Univ. College Park, MD, United States)
Garry, W. Brent (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Hamilton, Christopher W. (Arizona Univ. Tucson, AZ, United States)
Bleacher, Jacob E. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
January 25, 2018
Publication Date
October 9, 2017
Publication Information
Publication: Bulletin of Volcanology
Volume: 79
ISSN: 0258-8900
Subject Category
Geosciences (General)
Report/Patent Number
GSFC-E-DAA-TN51129
Funding Number(s)
CONTRACT_GRANT: NNX14AL54G
CONTRACT_GRANT: NSF-EAR-0739153
CONTRACT_GRANT: NNG17PT01A
CONTRACT_GRANT: NSF-EAR-1043051
Distribution Limits
Public
Copyright
Other