This paper presents an important application of 5D World Map System with a Risk-Resilience calculation and visualization method using time-series multilayered data for disasters and environmental change analysis to make appropriate and urgent solutions to global and local environmental phenomena in terms of short and long-term changes. This method enables the calculation of the current risk and resilience of a target region or city for disasters and rapid environmental changes, based on the analysis of past time-series changes of natural and socioeconomic factors’ distribution. This method calculates the total risk and resilience to disaster as a total aggregate value that reflects the amount of change in each variable in the past, by transforming multidimensional and heterogeneous variables into a form that allows comparative and arithmetic operations through geographical normalization and projection. As an implementation and experiments, we apply our method to assessing the role of forests in urban disaster resilience as an example, by analyzing time-series changes in vegetation and forest distribution and their relationships in urban areas. Specifically, using GIS, satellite data, demographic data, urban infrastructure data, and disaster data, we analyze the relationship among urban disaster occurrence and 1) population density, 2) urban infrastructure development, and 3) forest distribution and calculate “urban-forest-disaster risk/resilience”.