Journal of Geological Society of India (Online archive from Vol 1 to Vol 78)

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3D Visualizing of Volumetric Surface Movement at Karstic Limestone Area


Affiliations
1 Department of Geology, University of Malaya, Kuala Lampur, Malaysia - 50603, India
2 Mountainous Terrain Development Research Center, Civil Engineering Department, Universiti Putra Malaysia, Serdang, Malaysia - 43400, India
     

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Limestone bedrock topography has complex phenomena and highly relief subsurface topography due to the presence of karstic features. Geotechnical and environmental problems arise whenever foundations are established on the surface of the limestone bedrock or within the overburden soils. Geographical information system (GIS) and remote sensing are emerging as powerful techniques widely applicable in natural resources management to detect land use changes and devise strategies based on these changes. The study focuses on using aerial photography for the detection of changes and effects of mining on geomorphology, especially the use of sequential images that allows to detect changes taken place from time to time, by using. Volumetric Surface Movement Spatiotemporal Data Model (VSMSDM) application has been employed to create karst terrain surface movements and visualized 3D information in the Virtual Geographical Information Systems (VGIS). VSMSDM application was implemented by developing prototype of visualization system using with integrated time in the TIN structure. The data have been collected from aerial photography in 1981 and 2004, and the results displayed that the proposed data model is able to view the changing in karst topography to detect significant landscapes and landforms changes.

Keywords

Virtual Geographical Information Systems, Karst, Change Detection, Triangulation Irregular Network.
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  • 3D Visualizing of Volumetric Surface Movement at Karstic Limestone Area

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Authors

Omar Alkouri
Department of Geology, University of Malaya, Kuala Lampur, Malaysia - 50603, India
Husaini Omar
Mountainous Terrain Development Research Center, Civil Engineering Department, Universiti Putra Malaysia, Serdang, Malaysia - 43400, India
Mohammed Abu Shariah
Department of Geology, University of Malaya, Kuala Lampur, Malaysia - 50603, India
Ahmad Rodzi
Mountainous Terrain Development Research Center, Civil Engineering Department, Universiti Putra Malaysia, Serdang, Malaysia - 43400, India
Shattri Mansor
Mountainous Terrain Development Research Center, Civil Engineering Department, Universiti Putra Malaysia, Serdang, Malaysia - 43400, India
Zainuddin Md. Yusof
Mountainous Terrain Development Research Center, Civil Engineering Department, Universiti Putra Malaysia, Serdang, Malaysia - 43400, India

Abstract


Limestone bedrock topography has complex phenomena and highly relief subsurface topography due to the presence of karstic features. Geotechnical and environmental problems arise whenever foundations are established on the surface of the limestone bedrock or within the overburden soils. Geographical information system (GIS) and remote sensing are emerging as powerful techniques widely applicable in natural resources management to detect land use changes and devise strategies based on these changes. The study focuses on using aerial photography for the detection of changes and effects of mining on geomorphology, especially the use of sequential images that allows to detect changes taken place from time to time, by using. Volumetric Surface Movement Spatiotemporal Data Model (VSMSDM) application has been employed to create karst terrain surface movements and visualized 3D information in the Virtual Geographical Information Systems (VGIS). VSMSDM application was implemented by developing prototype of visualization system using with integrated time in the TIN structure. The data have been collected from aerial photography in 1981 and 2004, and the results displayed that the proposed data model is able to view the changing in karst topography to detect significant landscapes and landforms changes.

Keywords


Virtual Geographical Information Systems, Karst, Change Detection, Triangulation Irregular Network.

References