THE FIRST EXPERIENCE OF USING ALOS DATA FOR DISASTER MONITORING

Transcription

1 THE FIRST EXPERIENCE OF USING ALOS DATA FOR DISASTER MONITORING Dr. Nguyen Dinh Duong, IG, VAST Dr. Nguyen Xuan Lam, RSC, MONRE Dr. Hoang Minh Hien,, DMU, MARD

2 Contents The Xangsane Typhoon Acquisition of ALOS Data Some information about Xangsane Typhoon interpreted from ALOS Data Conclusion and Recommendation

3 The Xangsane Typhoon Formed on Sep. 26 th, 2006 in the ocean east of Philippine After passing Philippine, the Xangsane hit Danang City on Oct. 1 st, The Xangsane was recognized as one of the most violent in the past two decades. The wind reached Beaufort scale 12 (130km/h), gusting above scale 13 ( km/h)

4 69 dead and 525 injured Total economic loss: about 10,376 billions VND

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6 Acquisition of ALOS Data Request on ALOS emergency observation was sent to ADRC on Oct. 2. Response from JAXA DMSSO about emergency observation on Oct. 3. Emergency observation was taken at 10am, Oct. 4 over Danang City area by two sensors: AVNIR-2 2 and PALSAR

7 List of ALOS data AVNIR-2 A URGN0003-AODS A URGN0003-AODS A URGN0003-AODS A URGN0003-AODS PALSAR A URGN0003-AODS A URGN0003-AODS A URGN0003-AODS A URGN0003-AODS

8 AVNIR-2 2 Images

9 PALSAR Images

10 Data Analysis The AVNIR-2 2 images were not used due to heavy cloudiness There was no observation before typhoon An ADEOS AVNIR scene of Da Nang City taken on Apr. 18, 1997 was used for comparison study Inundated area extraction was carried out

11 ADEOS AVNIR Apr. 18, 1997 over Danang City

12 Comparison between ADEOS AVNIR (left) and ALOS PALSAR (right)

13 Inundated area extraction

14 Inundated area extraction

15 Inundated area extraction

16 Discussion Emergency observation is important for disaster management In some cases due to heavy cloudiness the optical data is less useful Multipolarized microwave data seems to be the best data source for typhoon and flood disasters

17 JAXA provided data through internet environment, time needed for downloading data depends on network environment (in case of Vietnam it took 8 hours to download 4 AVNIR-2 2 and 4 PALSAR scenes)

18 For practical use, there is requirement to develop standard products with standard processing flow for disaster management purpose. Level 1 data is still difficult for direct use. There are many geometric distortion

19 Question is how to make fast geo- reference of RS data in order to be combined with other GIS data Accuracy of geo-referencing does not need to be on high level For making the first report on disaster the following spatial data should be ready:

20 Population and administrative boundaries Road network and other infrastructure facilities DEM Geometrically corrected ALOS data before and after disaster

21 The first standard products for disaster consequence analysis: Change of vegetation index (optical data) Change of structure coefficients (optical data) Change of back scattering (microwave data) Damage level assessment Inundation level warning River or other water body overflow status

22 Making report in form of digital maps and text: targeting on qualitative assessment The first report should be generated 24 hours after observation and broadcasted on TV, radio as well as sent to the local government. My concept is: data for professionals and scientists, information for managers and public

23 Recommendation SA is composed of four components: Int. com., Space com., DRC, DA. It is useful to add in-country components which has at least two members: one from disaster management and the other from technical organization who is able to process satellite data. This component will ensure better implementation of SA.

24 Thank you for your attention