Next Article in Journal
Detection and Delineation of Localized Flooding from WorldView-2 Multispectral Data
Next Article in Special Issue
Quantifying Effusion Rates at Active Volcanoes through Integrated Time-Lapse Laser Scanning and Photography
Previous Article in Journal
Weighted-Fusion-Based Representation Classifiers for Hyperspectral Imagery
Previous Article in Special Issue
A 4D Filtering and Calibration Technique for Small-Scale Point Cloud Change Detection with a Terrestrial Laser Scanner
Article Menu

Export Article

Open AccessArticle
Remote Sens. 2015, 7(11), 14827-14852; doi:10.3390/rs71114827

Lateral Offset Quality Rating along Low Slip Rate Faults: Application to the Alhama de Murcia Fault (SE Iberian Peninsula)

1
RISKNAT Group, GEOMODELS, Departament de Geodinàmica i Geofísica, Facultat de Geologia, Universitat de Barcelona, c/Martí i Franquès, s/n, Barcelona 08028, Spain
2
School of Earth and Space Exploration, Arizona State University, Tempe, AZ 85287-6004, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Antonio Abellan, Marc-Henri Derron, Michel Jaboyedoff, Zhong Lu and Prasad S. Thenkabail
Received: 28 May 2015 / Revised: 14 October 2015 / Accepted: 29 October 2015 / Published: 6 November 2015
(This article belongs to the Special Issue Use of LiDAR and 3D point clouds in Geohazards)
View Full-Text   |   Download PDF [1654 KB, uploaded 6 November 2015]   |  

Abstract

Seismic hazard assessment of strike-slip faults is based partly on the identification and mapping of landforms laterally offset due to fault activity. The characterization of these features affected by slow-moving faults is challenging relative to studies emphasizing rapidly slipping faults. We propose a methodology for scoring fault offsets based on subjective and objective qualities. We apply this methodology to the Alhama de Murcia fault (SE Iberian Peninsula) where we identify 138 offset features that we mapped on a high-resolution (0.5 × 0.5 m pixel size) Digital Elevation Model (DEM). The amount of offset, the uncertainty of the measurement, the subjective and objective qualities, and the parameters that affect objective quality are independent variables, suggesting that our methodological scoring approach is good. Based on the offset measurements and qualifications we calculate the Cumulative Offset Probability Density (COPD) for the entire fault and for each fault segment. The COPD for the segments differ from each other. Tentative interpretation of the COPDs implies that the slip rate varies from one segment to the other (we assume that channels with the same amount of offset were incised synchronously). We compare the COPD with climate proxy curves (aligning using the very limited age control) to test if entrenchment events are coincident with climatic changes. Channel incision along one of the traces in Lorca-Totana segment may be related to transitions from glacial to interglacial periods. View Full-Text
Keywords: high-resolution DEM; strike-slip fault; offset scoring; Alhama de Murcia fault high-resolution DEM; strike-slip fault; offset scoring; Alhama de Murcia fault
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Supplementary material

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Ferrater, M.; Arrowsmith, R.; Masana, E. Lateral Offset Quality Rating along Low Slip Rate Faults: Application to the Alhama de Murcia Fault (SE Iberian Peninsula). Remote Sens. 2015, 7, 14827-14852.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top