Infrastructure assessment for disaster management using multi-sensor and multi-temporal remote sensing imagery

Abstract

In this article, a new assessment system is presented to evaluate infrastructure objects such as roads after natural disasters in near-realtime. A particular aim is the exploitation of multi-sensor and multi-temporal imagery together with further geographic information system data in a comprehensive assessment framework. The combination is accomplished combining probabilities derived from the different data sets. The assessment system is applied to two different test scenarios evaluating roads after flooding, yielding very promising results and evaluation values concerning completeness and correctness. The benefit of the data combination, in particular the multi-temporal component, demonstrates the suitability of the proposed method for different application scenarios.

Acknowledgements

This work is part of the IGSSE project ‘SafeEarth’ funded by the Excellence Initiative of the German federal and state governments, and part of the project ‘DeSecure’ funded by the Federal Ministry of Economics and Technology.