Trusted Extremely Precise Mapping and Prediction for Emergency Management (TEMA) - Fusion of geodata for more efficient disaster management; [TEMA – Fusion von Geodaten für ein effizienteres Katastrophenmanagement]

Abstract

This article presents the TEMA approach, which focuses on combining geospatial information to support more efficient disaster management. Emergency situations require fast access to reliable information about affected areas, infrastructure, population, hazards, and available resources. When these datasets are stored separately, decision-makers may face delays or difficulties in developing a complete understanding of a developing event. Data fusion can help overcome this problem by bringing different geospatial sources together within a common framework. The article considers how such an approach can support emergency management before, during, and after disasters. GIS provides a natural environment for combining spatial datasets and presenting them through maps and other visual tools. Fusing information from different sources can help identify affected locations, estimate potential impacts, and support the prioritization of response activities. Accurate positioning and timely data are particularly important because emergency decisions often need to be made under significant time pressure. The article also highlights the importance of interoperability and consistent information structures when data originates from different organizations or technical systems. A successful disaster-management platform must therefore combine technological capability with dependable data and practical workflows. The TEMA concept illustrates how geodata can become a central component of emergency decision support. By improving the availability and integration of spatial information, data fusion can contribute to faster analysis, better coordination, and more informed responses to natural and other emergency events. The approach ultimately demonstrates how integrated geodata can strengthen emergency decision-making when accurate information needs to be transformed into action quickly.