The wide area retrievals of temperature in life space from multi-data set fusion

摘要

Heat wave is one of the phenomena stemmed from abnormal climate caused by climate change. This phenomenon which occurs strongly and frequently worldwide has been threatening the heath-vulnerable classes in the urban and suburb area. To reduce the damage from the heat wave, the current research attempts to perform data assimilation between high-resolution images and ground observation data based on middle infra-red satellite imagery. We use an integrated approach involving compilation of both spatial and non-spatial data from government agencies and institutions, application of spatial and temporal analyses using remote sensing data. The near real-time temperature retrievals of selected areas are performed and analyzed using thermal data from COMS, Landsat, and in-situ data. And, the computational complexity and storage were discussed. Seven major land-use categories (Built-up, Road, Agriculture (green house, paddy fields, and dry fields), Field of construction work, Vegetation (forests), Wasteland and Water bodies) frequently are used in Korea. The four land-uses were selected as the most strongly areas affected by heat waves according to the survey of National Emergency Management Agency. In the future, we will estimate the precise wide area temperature of life space and promote the application of the heat/health watch/warning system.