Landslide hazard zonation mapping using remote sensing and GIS techniques

702001-100751-558-B
Author : Jasmi Ab. Talib and Azlikamil Napiah
Publication : Bulletin of the Geological Society of Malaysia
Page : 101-107
Volume Number : 44
Year : 2000
DOI : https://doi.org/10.7186/bgsm44200013

Bulletin of the Geological Society of Malaysia, Volume 44, July 2000, pp. 101 – 107

Landslide hazard zonation mapping using remote sensing and GIS techniques

Jasmi Ab. Talib and Azlikamil Napiah

Malaysian Centre for Remote Sensing (MACRES), 13, Jalan Tun Ismail, 50480 Kuala Lumpur

 

Abstract: The aim of this study is to utilise the remotely sensed data and GIS techniques for slope instability assessment and prediction in the chosen study area, Cameron Highlands. Slope instability can be considered as one of the most actual issues affecting this area, lately. With the availability of different types, multi temporal and various scales of remotely sensed data, several parameter maps can be generated, emphasizing the mass movements distribution map. The mass movements distribution map is prepared where each of its polygon is assigned with a special unique code. Other parameter maps either generated or extracted from the existing ancillary data are geological map, landuse map, terrain mapping units map, slope map, aspect map and classified distance map. GIS, on the other hand, can assist in terms of speeding up processing and moreover in the hazard zonation and prediction assessment.

The result of slope instability study by using the Information Value Method has given the indication of the most relevant causative factors influencing the mass movements occurrences in this study area. The construction of the roads at steep slopes can be considered as the most important causative factor, as is borne out by its high information value especially for the main and secondary roads. Another factor which has high value is landuse besides the slope steepness and distance from fifth, sixth and higher order river, even though classified slope and distances are of lesser influence to the mass movements occurrences. Summation of causative factor maps in that method has resulted in the delineation of the mass movement hazard zonation. Hence with the classified information from the infrastructure and landuse units, the risk to the area can be assessed. The very high risk area covers 164,600 m2, mostly emphasizing several main road slopes and part of the market gardening area in Bertam Valley and some sloping areas in Tanah Rata and surroundings.

https://doi.org/10.7186/bgsm44200013


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