A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Remote Sensing and GIS

Thesis (M.Eng.) - Asian Institute of Technology, 2011

The study area, Yinmarbin-Kalaw Public Road is located at the western flank of Shan Highland, Myanmar. The elevation difference along the road at study area is 1244 m; the lowest point is 280m and, the highest point is 1524 above mean sea level. As the road is located in high relief and mountainous region, the landslide hazard frequently occurred along the road, especially in rainy season. Hence, the publishing of landslide hazard zonation map and landslide risk assessment map are required for both minimizing loss of life and properties, and planning for road conservation. In this study, the landslide analysis and map generation are implemented by remote sensing and GIS technology, integrated with geomechanics engineering. Apart from other landslide hazard zonation maps, the degree of sliding hazard and mode of failure are evaluated from the rock mass strength and orientation of discontinuities, in which the required data are collected in the field. Otherwise, rock mass rating (RMR) and slope mass rating (SMR) data are applied to generate the landslide hazard zonation map, integrated with slope gradient and direction data, evaluated from digital elevation model (DEM). Remote sensing is used for acquiring thematic data layers. Landuse map are evaluated from Landsat 7 ETM+ multispectral satellite images, whereas slope gradient, slope direction (aspect) and drainage density are evaluated from digital elevation model. Rock mass strength, orientation of discontinuities, thickness of overburden soil, landslide information and impact of landslide hazard within regions are collected in the field. Sliding potential map and fall and flow potential map are combined to generate landslide hazard zonation map. In addition, distribution of potential landslide type map has generated from the result of SMR, which is significant in evaluating risk assessment. The landslide risk assessment map is generated from overlaying thematic data layers of landslide hazard zones, distribution of potential landslide type map and, vulnerability assessment of elements at risk.