ESTIMATING LAND VALUE AND DISASTER RISK IN URBAN AREA IN YANGON, MYANMAR USING STEREO HIGH-RESOLUTION IMAGES AND MULTI-TEMPORAL LANDSAT IMAGES

ABSTRACT: Disaster is the fundamental problem that causes loss of life and property around the world. Especially, when occurring in urban area which has characters of the high population density, it make negative impact to tremendous people and their property. In order to prepare and mitigate the effect of disaster, Evaluating land value and disaster risk in term of spatial information is necessary. This research proposed a methodology to estimate land value and disaster risk in urban area using remotely sensed data. High-resolution satellite images acquired by GeoEye-1 satellite and past to present medium-resolution satellite images provided by Landsat 1-7 satellites have been used. The high-resolution images have been employed to provide land cover and digital elevation model (DEM) and medium-resolution time series were extracted to get land cover changes. Using both land cover and DEM, height of building that can indicate residential or commercial areas were able to obtain. Land value has been estimated in term of index based on height of building and land cover change. While disaster risk has been assessed by using land elevation and floodway for flood risk, and by using distance from fault line, land slope and indirect age of building for earthquake risk. In our experiment, Yangon, former capital of Myanmar, was concentrated to evaluate since it is the country's largest city with over five million people and has had suffer with flood and earthquake disasters. There are three resultant maps with land value, flood risk and earthquake risk. For validation, the land value map was compared with landmark buildings by surveying. DEM was also compared with land elevation by surveying