Trialing Innovative Technologies in Crisis Management-"Airborne and Terrestrial Situational Awareness" as Support Tool in Flood Response

被引:5
作者
Schroeter, Elisa [1 ]
Kiefl, Ralph [1 ]
Neidhardt, Eric [2 ]
Gurczik, Gaby [2 ]
Dalaff, Carsten [2 ]
Lechner, Konstanze [1 ]
机构
[1] German Aerosp Ctr DLR, German Remote Sensing Data Ctr, D-82230 Wessling, Germany
[2] German Aerosp Ctr DLR, Inst Transportat Syst, D-12489 Berlin, Germany
来源
APPLIED SCIENCES-BASEL | 2020年 / 10卷 / 11期
关键词
crisis management; rapid mapping; traffic management; aerial imagery; situational awareness; flood response;
D O I
10.3390/app10113743
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Flooding represents the most-occurring and deadliest threats worldwide among natural disasters. Consequently, new technologies are constantly developed to improve response capacities in crisis management. The remaining challenge for practitioner organizations is not only to identify the best solution to their individual demands, but also to test and evaluate its benefit in a realistic environment before the disaster strikes. To bridge the gap between theoretic potential and actual integration into practice, the EU-funded project DRIVER+ has designed a methodical and technical environment to assess innovation in a realistic but non-operational setup through trials. The German Aerospace Center (DLR) interdisciplinary merged mature technical developments into the "Airborne and terrestrial situational awareness" system and applied it in a DRIVER+ Trial to promote a sustainable and demand-oriented R&D. Experienced practitioners assessed the added value of its modules "KeepOperational" and "ZKI" in the context of large-scale flooding in urban areas. The solution aimed at providing contextual route planning in police operations and extending situational awareness based on information derived through aerial image processing. The user feedback and systematically collected data through the DRIVER + Test-bed approved that DLR's system could improve transport planning and situational awareness across organizations. However, the results show a special need to consider, for example, cross-domain data-fusion techniques to provide essential 3D geo-information to effectively support specific response tasks during flooding.
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页数:23
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