Trusted Extremely Precise Mapping and Prediction for Emergency Management (TEMA) - Fusion of geodata for more efficient disaster management

Abstract

This article addresses trusted extremely precise mapping and prediction for emergency management (tema) - fusion of geodata for more efficient disaster management, a topic relevant to geoinformation and the practical use of spatial data. Geographic information systems can help organise location-based information, compare conditions across places, and communicate findings to practitioners and decision-makers. The value of a geospatial workflow depends on reliable source data, clear methods, appropriate scale, and regular updates. When spatial information is combined with domain knowledge, it can support planning, monitoring, coordination, and evaluation. The topic also illustrates the importance of making digital information usable by the people who need it, rather than treating technology as an end in itself. Depending on the application, relevant considerations may include interoperability, data quality, visualisation, and the communication of uncertainty. A location-based perspective can help stakeholders understand relationships that are difficult to see in disconnected records and can provide a shared reference for discussion. This abstract has been generated editorially from the article title because the supplied CSV does not include the original abstract. It should be replaced with a source-verified abstract when the full article is available.