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Application of PALSAR-2 remote sensing data for landslide hazard mapping in Kelantan river basin, peninsular Malaysia

Yearly, several landslides ensued during heavy monsoons rainfall in Kelantan river basin, peninsular Malaysia, which are obviously connected to geological structures and topographical features of the region. In this study, the recently launched Phased Array type L-band Synthetic Aperture Radar-2 (PA...

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Main Authors: Pour, A. B., Hashim, M.
Format: Conference or Workshop Item
Published: International Society for Photogrammetry and Remote Sensing 2016
Subjects:
G70.39-70.6 Remote sensing
Online Access:http://eprints.utm.my/id/eprint/73649/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979497564&doi=10.5194%2fisprsarchives-XLI-B8-413-2016&partnerID=40&md5=8a0d5d368cb54f9132ac99ce1223ddc9
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spelling my.utm.736492017-11-28T06:50:01Z http://eprints.utm.my/id/eprint/73649/ Application of PALSAR-2 remote sensing data for landslide hazard mapping in Kelantan river basin, peninsular Malaysia Pour, A. B. Hashim, M. G70.39-70.6 Remote sensing Yearly, several landslides ensued during heavy monsoons rainfall in Kelantan river basin, peninsular Malaysia, which are obviously connected to geological structures and topographical features of the region. In this study, the recently launched Phased Array type L-band Synthetic Aperture Radar-2 (PALSAR-2) onboard the Advanced Land Observing Satellite-2(ALOS-2), remote sensing data were used to map geological structural and topographical features in the Kelantan river basin for identification of high potential risk and susceptible zones for landslides. 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, angulated drainage pattern and metamorphic and Quaternary units. Consequently, structural and topographical geology maps were produced for Kelantan river basin using PALSAR-2 data, which could be broadly applicable for landslide hazard mapping. International Society for Photogrammetry and Remote Sensing 2016 Conference or Workshop Item PeerReviewed Pour, A. B. and Hashim, M. (2016) Application of PALSAR-2 remote sensing data for landslide hazard mapping in Kelantan river basin, peninsular Malaysia. In: 23rd International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Congress, ISPRS 2016, 12-19 July 2016, Prague, Czech Republic. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979497564&doi=10.5194%2fisprsarchives-XLI-B8-413-2016&partnerID=40&md5=8a0d5d368cb54f9132ac99ce1223ddc9
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic G70.39-70.6 Remote sensing
spellingShingle G70.39-70.6 Remote sensing
Pour, A. B.
Hashim, M.
Application of PALSAR-2 remote sensing data for landslide hazard mapping in Kelantan river basin, peninsular Malaysia
description Yearly, several landslides ensued during heavy monsoons rainfall in Kelantan river basin, peninsular Malaysia, which are obviously connected to geological structures and topographical features of the region. In this study, the recently launched Phased Array type L-band Synthetic Aperture Radar-2 (PALSAR-2) onboard the Advanced Land Observing Satellite-2(ALOS-2), remote sensing data were used to map geological structural and topographical features in the Kelantan river basin for identification of high potential risk and susceptible zones for landslides. 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, angulated drainage pattern and metamorphic and Quaternary units. Consequently, structural and topographical geology maps were produced for Kelantan river basin using PALSAR-2 data, which could be broadly applicable for landslide hazard mapping.
format Conference or Workshop Item
author Pour, A. B.
Hashim, M.
author_facet Pour, A. B.
Hashim, M.
author_sort Pour, A. B.
title Application of PALSAR-2 remote sensing data for landslide hazard mapping in Kelantan river basin, peninsular Malaysia
title_short Application of PALSAR-2 remote sensing data for landslide hazard mapping in Kelantan river basin, peninsular Malaysia
title_full Application of PALSAR-2 remote sensing data for landslide hazard mapping in Kelantan river basin, peninsular Malaysia
title_fullStr Application of PALSAR-2 remote sensing data for landslide hazard mapping in Kelantan river basin, peninsular Malaysia
title_full_unstemmed Application of PALSAR-2 remote sensing data for landslide hazard mapping in Kelantan river basin, peninsular Malaysia
title_sort application of palsar-2 remote sensing data for landslide hazard mapping in kelantan river basin, peninsular malaysia
publisher International Society for Photogrammetry and Remote Sensing
publishDate 2016
url http://eprints.utm.my/id/eprint/73649/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979497564&doi=10.5194%2fisprsarchives-XLI-B8-413-2016&partnerID=40&md5=8a0d5d368cb54f9132ac99ce1223ddc9
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score 13.23648

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