This study aims to provide a solution to decrease the large amount of time consumed during the damage investigation. Therefore, this study suggests a priority estimation process of the damage investigation that calculates the damaged areas caused by the natural disaster and estimates the damage investigation priority according to the size of the damaged area. The estimation process comprises four steps: preprocessing, damaged area calculation, priority estimation, and information provision. The preprocessing ensures that the pre-and post-satellite images of the damage and GIS thematic maps have identical coordinates and locational information. The damaged area calculation accompanies automatic calculation using the Change Vector Analysis (CVA), Differential Normalized Difference Vegetation Index (DVI), and Tasseled Cap Transformation (TCT) algorithms. The priority estimation can be done
according to the size of the damaged areas of individual administrative boundaries. The last step of the information provided is to provide necessary information such as land cover and cadastral data within the damaged area through the overlay analysis of land cover maps and continuous cadastral maps. The priority estimation process developed in this study is expected to be helpful for more effective dispatching of local government personnel and supporting early response and recovery for the residents within the damaged area. Furthermore, a follow-up study for developing the system to operate the priority estimation process established in this study is required.

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