Application of spot5 satellite image and gis for updating road network: towards building landslide spatial database

Abdul Basith, Abdul Basith and Matori, Abdul Nasir and Cahyono, Bambang Kun (2008) Application of spot5 satellite image and gis for updating road network: towards building landslide spatial database. In: 2nd International Conference on Built Environment in Developing Countries., 3rd- 4th December 2008, Universiti Sains Malaysia, Pulau Pinang.

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    Abstract

    Rapid development in urbanization is usually followed by development in transportation network. As the consequence, latest developed road networks are not found on the existing topographic map. As the topographic map-derived road network is not updated in short period, it is important to shorten the map updating cycles. SPOT 5 satellite image offers a cost effective way for updating the map compared to a conventional mapping method. The image, acquired in 2005, is used for updating road network on topographic map scaled at 1:50000, sheet 74, issued by JUPEM which was derived from aerial photograph taken in 1981. The road connecting Simpang Pulai cross and Kampung Raja, Cameron Highlands, is selected due to its considerably rapid development and susceptibility to landslide. Since most landslide occurrences take place along the road, updating road map as part of landslide geo-database becomes necessary. SPOT5 image is registered into Malaysian Coordinate System, RSO, to conform to the existing registered topographic map. Both image classification and on screen digitization methods are used to extract road network feature. The latest method is applied to complement to the first one in case of facing uncertainty in image classification. The quality of extracted road network from image classification is discussed. The extracted road network is stored into landslide spatial database. In regard to landslide aspects, features such as barren land, vegetation coverage, are also extracted. DEM derived from topographic map is used to generate slope risk map. GIS analysis is performed to locate high risk areas that prone to landslide based on two criteria. Those areas having high risk slope (200-350) and occupy barren/un-vegetated land are considered as high risk area. From this study, only 0.1% of areas occupy high risk locations. Some of which is located at existing slope failure area at Pos Slim.

    Item Type: Conference or Workshop Item (Paper)
    Subjects: T Technology > TH Building construction > TH1-9745 Building construction
    Divisions: Pusat Pengajian Perumahan, Bangunan & Perancangan (School of Housing, Building & Planning) > International Conference on Built Environment in Developing Countries
    Depositing User: Mr Noorazilan Noordin
    Date Deposited: 06 Jun 2017 11:52
    Last Modified: 06 Jun 2017 11:52
    URI: http://eprints.usm.my/id/eprint/34915

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