ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-2/W2, 89-92, 2015
https://doi.org/10.5194/isprsannals-II-2-W2-89-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
19 Oct 2015
GEOLGICAL STRUCTURE MAPPING OF THE BENTONG-RAUB SUTURE ZONE, PENINSULAR MALAYSIA USING PALSAR REMOTE SENSING DATA
A. Beiranvand Pour and M. Hashim Geoscience and Digital Earth Centre (Geo-DEC) Research Institute for Sustainability and Environment (RISE) Universiti Teknologi Malaysia (UTM) 81310 UTM Skudai, Johor Bahru, Malaysia
Keywords: PALSAR data; structural geology mapping; Bentong-Raub Suture Zone; tropical environments Abstract. The Bentong-Raub Suture Zone (BRSZ) of peninsular Malaysia was selected as case study to evaluate the capability of the Phased Array type L-band Synthetic Aperture Radar (PALSAR) satellite remote sensing data for structural geology mapping in tropical environments. The structural elements in the BRSZ were enhanced using multi-polarization configuration of PALSAR data at a regional scale. Adaptive local sigma and directional filters were applied to PALSAR data for detailed structural mapping. Numerous tectonic lineaments with consistent variation in trend, length and density were detected in the study area. Structural analysis of the BRSZ reveals that two distinct parts can be defined, a western part affected mainly by ductile fabrics in the Cameron Highlands and an eastern part affected mainly by brittle deformation in the BRSZ. Ductile deformation indicates several generation of folding in the Cameron Highlands. Several faults, joints and fractures represent brittle deformation events in the BRSZ. The results of this study demonstrate the usefulness of PALSAR satellite remote sensing data for mapping geological structures in tropical environments.
Conference paper (PDF, 1291 KB)


Citation: Beiranvand Pour, A. and Hashim, M.: GEOLGICAL STRUCTURE MAPPING OF THE BENTONG-RAUB SUTURE ZONE, PENINSULAR MALAYSIA USING PALSAR REMOTE SENSING DATA, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-2/W2, 89-92, https://doi.org/10.5194/isprsannals-II-2-W2-89-2015, 2015.

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