3D APPLICATIONS IN DISASTER MITIGATION AND MANAGEMENT: CORE RESULTS OF DITAC PROJECT
Keywords: Remote sensing, GIS, Active Tectonics, Earthquakes, Tsunamis, Landslides
Abstract. According to statistical data, natural disasters as well as the number of people affected by them are occurring with increasing frequency compared to the past. This situation is also seen in Europe Union; So, Strengthening the EU capacity to respond to Disasters is very important. This paper represents the baseline results of the FP-7 founded DITAC project, which aims to develop a holistic and highly structured curriculum for responders and strategic crisis managers. Up-to-date geospatial information is required in order to create an effective disaster response plan. Common sources for geospatial information such as Google Earth, GIS databases, and aerial surveys are frequently outdated, or insufficient. This limits the effectiveness of disaster planning. Disaster Management has become an issue of growing importance. Planning for and managing large scale emergencies is complex. The number of both victims and relief workers is large and the time pressure is extreme. Emergency response and triage systems with 2D user interfaces are currently under development and evaluation. Disasters present a number of spatially related problems and an overwhelming quantity of information. 3D user interfaces are well suited for intuitively solving basic emergency response tasks. Such tasks include commanding rescue agents and prioritizing the disaster victims according to the severity of their medical condition. Further, 3D UIs hold significant potential for improving the coordination of rescuers as well as their awareness of relief workers from other organizations. This paper describes the outline of a module in a Disaster Management Course related to 3D Applications in Disaster Mitigation and Management. By doing this, the paper describes the gaps in existing systems and solutions. Satellite imageries and digital elevation data of Turkey are investigated for detecting sites prone to natural hazards. Digital image processing methods used to enhance satellite data and to produce morphometric maps in order to contribute to the detection of causal factors related to landslides, local site conditions influencing and/or experiencing earthquake damage intensity or those of tsunami and storm surge hazard sites at the coasts.
This paper has been retracted.