Abstract:
Land use change can increase or decrease landslide susceptibility in the mountainous areas. In
the hilly and mountainous part of Mon State, Myanmar, land use change has taken place due to land
extractions and rock extractions. These activities can worsen the slope susceptible to sliding due to mostly
the wounding of the mountain. So, every year take place the landslide in monsoon season. The objective of
this study is to define the landslide risk areas in support of development planning, monitoring, and control of
unstable areas. In this study, the mapping of landslides using Sentinel 2, research on their combination for
discerning historical landslides in the raining season. Landslide samples were obtained from the old landslide,
road structure from the topo map and slope can get form digital elevation model (DEM)). Layers were
analyzed and the average weighted score was applied to calculate every 9 classes to predict the landslide.
Overlay, geoprocessing and geostatistical techniques in geographic information systems (GIS) were used to
discriminate these weighted subclasses into landslide features 6 levels of risk areas. Landslides in the Paung
township and Melamine at Mon State which showed the prone area with the study.
