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Estimating bedding orientation from high-resolution digital elevation models
journal contribution
posted on 2023-05-17, 18:30 authored by Matthew CracknellMatthew Cracknell, Michael RoachMichael Roach, Green, D, Arko LucieerArko LucieerA high-resolution digital elevation model (DEM), generated from airborne light detection and ranging (LiDAR) remote sensing data, is used here to estimate the 3-D orientation of bedding planes. Methods for enhancement, manual identification and extraction of lineaments, and estimation of best fit planes representing bedding are presented and evaluated for a study area in foldedmetasedimentary rocks in northeast Tasmania, Australia. Estimated bedding plane dip directions are shown to be accurate and reliable when compared with field-based observations. The same cannot be said for dip angle estimates. It is likely that small errors in the location of a manually digitized lineament will affect dip estimation more than dip direction estimation, particularly for steeply dipping structures. Fold axis orientations calculated from the stereographic analysis of estimated bedding closely correspond to orientations determined from field data. The mean absolute differences ± standard error for 12 of the 14 regularly spaced domains located within the study area were 8.7° ± 1.2° for the fold plunge and 4.9° ± 0.9° for the fold trend. The techniques described here for the extraction of bedding plane orientations from high-resolution DEMs complement field-based geological mapping and can assist structural interpretations.
History
Publication title
IEEE Transactions on Geoscience and Remote SensingVolume
51Issue
5Pagination
2949-2959ISSN
0196-2892Department/School
School of Natural SciencesPublisher
Ieee-Inst Electrical Electronics Engineers IncPlace of publication
445 Hoes Lane, Piscataway, USA, NJ, 08855Rights statement
Copyright 2012 IEEERepository Status
- Restricted