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Department of Landscape Architecture and Rural Systems Engineering, Seoul National University, Research Institute for Agriculture and Life Science, Seoul National University, and Institute of Green Bio Science & Technology, Seoul National UniversityABSTRACT : Smartphones change the picture of data and information sharing and make it possible to share various real-time flooding data and information. The vulnerability indicators of farmland inundation is needed to calculate the risk of farmland flood based on changeable hydro-meteorological data over time with morphologic characteristics of flood-damaged areas. To find related variables show the vulnerability of farmland inundation using the binary-logit model and correlation analysis and to provide vulnerability indicators were estimated by fuzzy set method. The outputs of vulnerability indicators were compared with the results of Monte Carlo simulation (MCS) for verification. From the result vulnerability indicators are applicable to mobile_based information system of farmland inundation. Key words : farmland inundation, point-unit data, real-time data, vulnerability indicator

Estimating Real-time Inundation Vulnerability Index at Point-unit Farmland Scale using Fuzzy set