Application of PALSAR-2 remote sensing data for structural geology and topographic mapping in Kelantan river basin, Malaysia
Natural hazards of geological origin are one of major problem during heavy monsoons rainfall in Kelantan state, peninsular Malaysia. Several landslides occur in this region are obviously connected to geological and topographical features, every year. Satellite synthetic aperture radar (SAR) data are...
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my.utm.731722017-11-22T12:07:39Z http://eprints.utm.my/id/eprint/73172/ Application of PALSAR-2 remote sensing data for structural geology and topographic mapping in Kelantan river basin, Malaysia Pour, A. B. Hashim, M. G70.39-70.6 Remote sensing Natural hazards of geological origin are one of major problem during heavy monsoons rainfall in Kelantan state, peninsular Malaysia. Several landslides occur in this region are obviously connected to geological and topographical features, every year. Satellite synthetic aperture radar (SAR) data are particularly applicable for detection of geological structural and topographical features in tropical conditions. In this study, Phased Array type L-band Synthetic Aperture Radar (PALSAR-2), remote sensing data were used to identify high potential risk and susceptible zones for landslide in the Kelantan river basin. Adaptive Local Sigma filter was selected and applied to accomplish speckle reduction and preserving both edges and features in PALSAR-2 fine mode observation images. Different polarization images were integrated to enhance geological structures. Additionally, directional filters were applied to the PALSAR-2 Local Sigma resultant image for edge enhancement and detailed identification of linear features. Several faults, drainage patterns and lithological contact layers were identified at regional scale. In order to assess the results, fieldwork and GPS survey were conducted in the landslide affected zones in the Kelantan river basin. Results demonstrate the most of the landslides were associated with N-S, NNW-SSE and NE-SW trending faults, angulate drainage pattern and metamorphic and Quaternary units. Consequently, geologic structural map were produced for Kelantan river basin using recent PALSAR-2 data, which could be broadly applicable for landslide hazard assessment and delineation of high potential risk and susceptible areas. Landslide mitigation programmes could be conducted in the landslide recurrence regions for reducing catastrophes leading to economic losses and death. Institute of Physics Publishing 2016 Conference or Workshop Item PeerReviewed Pour, A. B. and Hashim, M. (2016) Application of PALSAR-2 remote sensing data for structural geology and topographic mapping in Kelantan river basin, Malaysia. In: 8th IGRSM International Conference and Exhibition on Geospatial and Remote Sensing, IGRSM 2016, 13 April 2016 through 14 April 2016, Kuala Lumpur; Malaysia. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84984607902&doi=10.1088%2f1755-1315%2f37%2f1%2f012067&partnerID=40&md5=77af65a0f99a6205b94cd4b2c0414711 |
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G70.39-70.6 Remote sensing Pour, A. B. Hashim, M. Application of PALSAR-2 remote sensing data for structural geology and topographic mapping in Kelantan river basin, Malaysia |
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Natural hazards of geological origin are one of major problem during heavy monsoons rainfall in Kelantan state, peninsular Malaysia. Several landslides occur in this region are obviously connected to geological and topographical features, every year. Satellite synthetic aperture radar (SAR) data are particularly applicable for detection of geological structural and topographical features in tropical conditions. In this study, Phased Array type L-band Synthetic Aperture Radar (PALSAR-2), remote sensing data were used to identify high potential risk and susceptible zones for landslide in the Kelantan river basin. Adaptive Local Sigma filter was selected and applied to accomplish speckle reduction and preserving both edges and features in PALSAR-2 fine mode observation images. Different polarization images were integrated to enhance geological structures. Additionally, directional filters were applied to the PALSAR-2 Local Sigma resultant image for edge enhancement and detailed identification of linear features. Several faults, drainage patterns and lithological contact layers were identified at regional scale. In order to assess the results, fieldwork and GPS survey were conducted in the landslide affected zones in the Kelantan river basin. Results demonstrate the most of the landslides were associated with N-S, NNW-SSE and NE-SW trending faults, angulate drainage pattern and metamorphic and Quaternary units. Consequently, geologic structural map were produced for Kelantan river basin using recent PALSAR-2 data, which could be broadly applicable for landslide hazard assessment and delineation of high potential risk and susceptible areas. Landslide mitigation programmes could be conducted in the landslide recurrence regions for reducing catastrophes leading to economic losses and death. |
format |
Conference or Workshop Item |
author |
Pour, A. B. Hashim, M. |
author_facet |
Pour, A. B. Hashim, M. |
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Pour, A. B. |
title |
Application of PALSAR-2 remote sensing data for structural geology and topographic mapping in Kelantan river basin, Malaysia |
title_short |
Application of PALSAR-2 remote sensing data for structural geology and topographic mapping in Kelantan river basin, Malaysia |
title_full |
Application of PALSAR-2 remote sensing data for structural geology and topographic mapping in Kelantan river basin, Malaysia |
title_fullStr |
Application of PALSAR-2 remote sensing data for structural geology and topographic mapping in Kelantan river basin, Malaysia |
title_full_unstemmed |
Application of PALSAR-2 remote sensing data for structural geology and topographic mapping in Kelantan river basin, Malaysia |
title_sort |
application of palsar-2 remote sensing data for structural geology and topographic mapping in kelantan river basin, malaysia |
publisher |
Institute of Physics Publishing |
publishDate |
2016 |
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http://eprints.utm.my/id/eprint/73172/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84984607902&doi=10.1088%2f1755-1315%2f37%2f1%2f012067&partnerID=40&md5=77af65a0f99a6205b94cd4b2c0414711 |
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13.23648 |