Intergeo 2026 in Munich: Meeting place for innovations in geoinformation and surveying; [Intergeo 2026 in München: Treffpunkt für Innovationen in Geoinformation und Vermessung]
Keywords:
Intergeo 2026, Munich, Geoinformation, Surveying, Geospatial Technology, Digital Innovation, Spatial DataAbstract
Intergeo 2026 in Munich is presented as a meeting place for current developments in geoinformation, surveying, and related digital technologies. Events of this kind bring together technology providers, surveying professionals, geospatial specialists, researchers, and users who are interested in practical applications of spatial information. The article focuses on the role of Intergeo as a platform for presenting innovations and discussing the changing needs of the geospatial sector. Modern surveying is increasingly connected with digital data processing, automation, remote sensing, three-dimensional modelling, artificial intelligence, and integrated information systems. These technologies are influencing how spatial data is captured, managed, visualized, and applied in professional workflows. A major value of an international event is the opportunity to compare different solutions and understand how emerging technologies are moving toward practical implementation. Intergeo also provides a space for professional exchange, networking, and discussion of future challenges. The 2026 event in Munich therefore reflects the continuing transformation of geoinformation and surveying from specialized technical fields into important components of wider digital infrastructure. The article highlights the event's role in connecting innovation with professional practice and in showing how geospatial technologies are evolving to meet new demands. Alongside product demonstrations, such events can help professionals understand how individual technologies fit into complete workflows. This is important because the value of geospatial innovation often depends not only on the performance of a single tool but also on integration, usability, data quality, and the ability of organizations to adopt new methods.
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This work is licensed under a Creative Commons Attribution 4.0 International License.
This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). This permits anyone to share, copy, redistribute, remix, transform, and build upon the material for any purpose, including commercial purposes, provided that appropriate credit is given to the original author(s), a link to the license is provided, and any changes made to the material are indicated.



