Forests provide numerous benefits to humans, such as recreation, water purification sequestration, and atmospheric pollutant. South Korea, along with other leading forestry nations, has recognized the escalating threats to forest ecosystems caused by factors like climate change-induced global warming and environmental pollution, as well as intensified forest exploitation. In response, significant efforts have been dedicated to monitoring and tracking changes occurring within forest ecosystems. Thus, countries worldwide have set a survey index that applies the standards presented by the Montréal Process, which could be considered an international treaty for monitoring the health of forest ecosystems and systematically managing them by performing surveys. Research on defining and assessing the health of forests is based on various aspects. Collecting basic data and understanding the current state of forests is necessary to manage forest ecosystems systematically. In South Korea and overseas, research incorporating monitoring surveys is undertaken to assess the health of forest ecosystems. However, the monitoring survey method applied in most forest ecosystems makes it difficult to determine heterogeneity in spatially continuous environments, and it is difficult to extrapolate the actual value of areas where sample points do not exist due to cost and time. This research presents a methodology for spatially determining and managing the health of forests beyond the results of sample-based monitoring surveys. Mainly, the three following aspects were investigated. First, for spatially identifying the health of a forest, suitable spatialization methods were established for each survey data criterion indicating forest health and vitality. During this process, Tree Vitality and species richness were considered the most significant indices that require spatialization, and appropriate methods that could derive the most realistic results were investigated. Second, overlapping spatialized survey items.to generate a forest health management map considering forest health. This map was overlaid with the available forest disaster data, regional Bursaphelenchus xylophilus infestation data, and regional Lymantria dispar infestation data to adjust the priority of the validation and management areas. Third, the current domestic forest management areas in South Korea only include ecologically and genetically significant regions, such as the Baekdudaegan Mountain Range Reserve and forest genetic resource reserve. Therefore, a method of suggesting forest health management status to other regions and utilizing it in actual management according to the order of management priority, was briefly presented. This presents the implications of potential use in forest and vegetation management.Various spatialization methods were used to derive results from this research. However, given the characteristics of forests where multiple factors apply, numerous survey indices need to be utilized. However, constraints in spatializing all indices prevented the implementation of this approach. Nonetheless, the survey indices that were considered significant for each criterion in the health and vitality survey data were spatialized. Further, this research was meaningful in terms of developing a spatialization method that allows spatial analysis of the monitoring data to identify the health of a forest and presenting a method of identifying priority areas for forest management considering forest health. In short, the monitoring data for determining the health of the forest was spatialized and overlaid, which showed the possibility of the outcome being utilized in forest management by not only identifying the relevant spatial data but also by presenting the forest management plans for forests management for each region in South Korea. The results of this research are expected to be applied for effective forest management considering spatial forest health condition.