Globaler Datensatz zu Straßenoberflächen: Satellitendaten zur Erfassung von Infrastrukturlücken und zur Stärkung der Klimaanpassung

Abstract

Reliable information about road surfaces is important for infrastructure management, climate adaptation, and the identification of areas where transport networks may be vulnerable. The article presents a global dataset approach that uses satellite observations to characterize road surfaces and help identify infrastructure gaps. Satellite data can provide information across large and geographically diverse areas, making it useful where detailed ground-based inventories are incomplete or difficult to maintain. A global road-surface dataset can support the comparison of infrastructure conditions between regions and provide an additional information source for planning and risk assessment. The approach is especially relevant in the context of climate adaptation, where transport infrastructure may be affected by heat, flooding, changing precipitation patterns, and other environmental pressures. By linking remotely sensed observations with road and infrastructure information, analysts can improve their understanding of where weaknesses may exist and where additional investment or adaptation measures may be required. The article emphasizes the value of scalable geospatial datasets for infrastructure planning. It also demonstrates how satellite-based information can contribute to filling data gaps and supporting more consistent assessments across different locations. Such datasets can become a useful foundation for further analysis, monitoring, and climate-resilient infrastructure strategies. The dataset can also support future monitoring as satellite technologies and analytical methods continue to improve. Repeated observations may make it possible to identify changes in road conditions and infrastructure exposure over time. This creates opportunities for more proactive planning rather than relying only on information collected after infrastructure problems have already occurred.