The Analysis of Landslide Based on Geographic Information System in Mon State, Myanmar
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.
Index Terms— Landslide, Geographic Information System, Sentinel 2
Chaw Chaw Khaing, Thin Lai Lai Thein
University of Computer Studies, MYANMAR
Cite: HtweHtwePyone, KhinThan Mya, "Secure Healthcare System using Blockchain Technology, " Proceedings of 2020 the 10th International Workshop on Computer Science and Engineering (WCSE 2020), pp. 162-167, Yangon (Rangoon), Myanmar (Burma), February 26-28, 2020.