1. Károly Róbert College The GREEN College

2. Remote sensing applications in disaster management Tibor Bíró dean Károly Róbert College Faculty of Natural Resources Management and Rural Development

3. Remote sensing is the acquisition of information about an object or phenomenon, without making physical contact with the object. Aerial remote sensing is one of the most efficient and, in many cases, the only objective tool for prevention forecast mapping and analysing (investigation and simulation) disasters. It is suitable for studying the given area rapidly and with great accuracy. The emphasis is on multi-sensor application: operating several sensors at the same time, it is capable of assessing different levels of terrain data

4. The elements of multi-sensor remote sensing airborne hyperspectral sensor (visible, near and mid infrared) airborne laser scanner medium format digital camera airborne digital thermal infrared sensor

5. Examples of successful application monitoring of the coastal areas of the Gulf of Mexico after the oil spill surveying of red sludge disaster of Ajka

6. Aerial application of modern sensors

7. Hyperspectral technology The sensors can detect hundreds of channels in the visible range up to the thermal. The interval between 400-2450 nm is divided to 498 spectral channels. Beside the large number of channels high-resolution is provided. Source: Specim

8. Typical spectrums forest building soil water

9. Hyperspectral application Identifying polluted surfaces in case of disasters or industrial accidents Identifying contaminations inorganic compounds (e.g. heavy metals) organic compounds (e.g. hydrocarbons) Mapping concentrations Monitoring changes in vegetation Source: Specim

10. Mapping oil contaminations Source: Galileo Inc. Co.

11. Red sludge spill Devecser RGB image

12. Classified image of flooded area by red mud green: vegetation, red: red mud

13. Al concentration (Al 2 O 3 ) vegetation Searching of contaminant in spectrums

14. Aluminium oxide distribution

15. Thickness of red mud

16. Classified thickness map with cadastre data

17. LiDAR technology Technology is a result of combination of the aircraft, the GPS navigation and the laser measurement tool which is combined with an IMU (Inercial Measurement Unit). Similar technology, such as radar, but in this case concentrated light of different frequencies (~ laser) is used

18. LiDAR technology The distance is determined by emitting laser pulses and sensing the reflected signals from the scanned object The LIDAR works in ultraviolet, visible and infrared range The accuracy of the measurement are strongly depend of the flying height and speed and the sensor.

19. LiDAR applications The high-resolution survey of surface Making dynamic inundation predictions due to floods (flood simulation) Scanning the surface of sludge spilled Surveying and checking of dam geometries and the storage capacity of reservoirs Mapping the effects of earthquakes Assessing the impact of storm damage

20. Detailed 3D modell of damaged reservoir

22. Multi-sensor application

23. Thermal infrared technology A high resolution airborne digital thermal infrared sensor that is suitable for measuring the temperature of the surface with a programmable 8-12μm wavelength spectrum.

24. Thermal sensor application Detecting bush and forest fires, as well as locating the epicentre of the fire Detecting the extension of air pollutants in the atmosphere Thermal mapping of technological constructions to identify the critical (e.g. overheated) areas Surveying the dampness of dams Finding missing persons

25. Dampness conditions of dams

26. Detection of infiltration

27. Mapping of liquid phase

28. Mapping of dams – in case of flood

29. The Károly Róbert College has developed a remote sensing protocol, which greatly assists both the domestic and international disaster management (forecast, damage surveying and control). The aerial multi-sensor monitoring system applied by the College is able to reach any part of Europe within a few hours

30. Thank you for your attention