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RECENT EXPERIENCES UTILIZING TERRASAR-X  FOR THE MONITORING OF NATURAL DISASTERS  IN DIFFERENT PARTS OF THE WORLD July 29, 2011 Yuki Okajima Kazuo Yoshikawa Takashi Shibayama PASCO CORPORATION
Contents ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
1.1 Overview of PASCO ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
1.2 Concept of Disaster Monitoring Global Disaster Management  ,[object Object],[object Object],[object Object],[object Object],[object Object],Constructing the integrated social system and aiming to provide information within three (3) hours Satellite data reception and processing Expansion of the Satellite Ground Station Network
2. Overview of TerraSAR-X ・ X-band SAR satellite launched by DLR in 2007 ・ Highest spatial resolution of 1m. ・ Repeat cycle and revisit time are 11 days and about 3 days respectively.  ・ Suitable for emergency observations thanks to cloud free SAR sensor’s characteristic.  Imaging mode SpotLight StripMap ScanSAR Specifications
3. Emergency Response to Natural Disasters 2008 Jan  Monitoring of GLOF (Glacial Lake Outburst Flood) in the Himalayas   Feb  Eruption of Sakurajima volcano(Showa crater), Kagoshima Prefecture   May  Damage interpretations around Kitagawa, the Great Sichuan Earthquake   Jun  Changes in Iwate-Miyagi inland earthquake slip   Aug  Heavy rain flooded area estimation Aichi (town district Hishiike Kouda)   Aug  Overflow of Kosi River in Nepal 2009 May  Disaster in Northern Brazil (near the Parnaíba River) May  Estimation of flood disasters due to cyclone “Aila” in Bangladesh 2010 Jan  Estimation of earthquake victims in Haiti    Mar ~ Apr   Iceland volcano monitoring 2011    Jan    M onitoring eruptions of Shinmoedake volcano in Kirishima         Feb    Earthquake monitoring in Christchurch, New Zealand         Mar    Providing information about the Great East Japan Earthquake  Major Initiatives
4.1 2010 Haiti Earthquake ,[object Object],[object Object],[object Object],- Observation Specification Flight Direction Beam Direction 21:23:10(UTC) Jan 12, 2010 Magnitude 7.0 depth 13km by USGS Port-au-Prince TerraSAR-X Image 39.1° HH StripMap Descending 20 January 2010 39.1° HH StripMap Descending 13 October 2009 Inc. Angle Polarization Acq. Mode Orbit Direction Acq. Date  (UTC)
4.2 Detection of Collapsed Buildings References 1) Masashi MATSUOKA and Fumio YAMAZAKI: APPLICATION OF A METHODOLOGY FOR DETECTING BUILDING-DAMAGE AREA TO RECENT EARTHQUAKES USING SATELLITE SAR INTENSITY IMAGERIES AND ITS VALIDATION, J. Struct. Constr. Eng., AIJ, No. 558, 139-147, Aug., 2002 Diagram of Using Intensity Imagery - Before Earthquake Backscaterring of microwave radiated from a satellite is strong due to dual-bounce scattering between roads and buildings.  - After Earthquake Backscattering becomes weak because microwave spreads toward various directions due to collapsed buildings.  ⇒ Collapsed buildings are detectable by the difference of backscattering coefficient.
4.3 Detection of Collapsed Buildings (cont.)  [ TerraSAR-X ] [Optical Image]  Oct. 13, 2009 Oct. 11, 2009 Jan. 20, 2010 Jan. 13, 2010 (c) Infoterra GmbH, Distribution [PASCO]  (c) Infoterra GmbH, Distribution [PASCO]  (c) GeoEye  (c) GeoEye  Weak backscattering appear dark in the image.  After After Before Before
4.4 Result: Detection of Collapsed Buildings
4.5 Result: Detection of Collapsed Buildings (cont.)
5.1 2011 The Great East Japan Earthquake ,[object Object],[object Object],©PASCO ©PASCO
5.2 Emergency Observations of TerraSAR-X ① ② ③
5.3 Data Acquisition and Analysis Okinawa Tokyo ④ Obser vation ⑤ downlink ⑥ transfer ⑦ Analysis Sendai City Tokyo
5.4 PASCO’s Immediate Actions 15:30  Observation plan and order 20 : 00 Preparation for analysis and pre-Disaster images Available Geospatial  Information Change Detection (Coastline of Miyagi) ,[object Object],[object Object],- Est. seismic intensity -20km radius  from Fukushima Nuclear Power  Plant 14:00- 22:00- Est. flood area 18:00- Pre-Disaster Image Oct.21,2010 Mar.13,2011 Satellite Observation  (Hokkaido – Kanagawa) 6:00 Observation 12:00 Start of data provision Est. Flood Areas (Coastline of Miyagi) Acquisition of Optical Image  (Fukushima Nuclear power plant) Detection of Floating Objects  (Sanriku – Ishinomaki) Satellite Observation  (Hokkaido – Chiba) Est. Flood Areas [ Prompt Report ] Northern part of Fukushima ,[object Object],[object Object],[object Object],[object Object],Cited from Google PASCO Mar. 14 (Mon) Second Observation Mar. 13 (Sun) First Observation Mar. 12 (Sat) 14:46JST Mar. 11 72 hours 48 hours 24 hours Disaster
5.5 Change Detection of Inundation Areas with Pre- and Post-Disaster Images Pre-disaster image:  R Post-disaster image:  G ,  B RGB color composition shows estimated inundation areas in  red .  ,[object Object]
5.6 Estimated Inundation Areas with a Post-Disaster Image Conversion of DN value into backscattering coefficient Areas more than a certain elevation to be masked to reduce commission errors caused by radar shadow.  Define a threshold to determine the possible water areas  (underlying conditions, such as incidence angles, taken into account) Inundation areas where the value is lower than the threshold are extracted and change maps are created.  - TerraSAR-X Observations - Inundation Area Detection Method  37.3° HH StripMap Descending 4 April 2011 37.3° HH StripMap Descending 24 March 2011 37.3° HH StripMap Descending 13 March 2011 Inc. Angle Polarization Acq. Mode Orbit Direction Acq. Date (JST)
5.7 Estimated Inundation Areas with a Post-Disaster Image March 13 March 24 April 4
5.8 Estimated Inundation Areas with a Post-Disaster Image Water-pumping effort Field survey for ground truth Our analyses were used by River Bureau of Land, Infrastructure and Transportation Ministry   to plan drain pump installation and confirm the outcome of their pumping efforts.
6. Summary ・  We have 22 emergency responses for major natural disasters,    including Haiti Earthquake and The Great East Japan Earthquake in 4 years since the launch of TerraSAR-X. ・  Our analyses and maps of the disasters were provided to the national and local government and utilized for the damage assessment and recovery efforts.  ・  We keep our disaster monitoring system strengthened and distribute information and analyses of major disasters in order to further contribute to  protect people’s life and safety .
 

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PSD-T1-AT1-1107-042_TERRASAR-X_FOR_THE_MONITORING_OF_NATURAL_DISASTERS.ppt

  • 1. RECENT EXPERIENCES UTILIZING TERRASAR-X FOR THE MONITORING OF NATURAL DISASTERS IN DIFFERENT PARTS OF THE WORLD July 29, 2011 Yuki Okajima Kazuo Yoshikawa Takashi Shibayama PASCO CORPORATION
  • 2.
  • 3.
  • 4.
  • 5. 2. Overview of TerraSAR-X ・ X-band SAR satellite launched by DLR in 2007 ・ Highest spatial resolution of 1m. ・ Repeat cycle and revisit time are 11 days and about 3 days respectively. ・ Suitable for emergency observations thanks to cloud free SAR sensor’s characteristic. Imaging mode SpotLight StripMap ScanSAR Specifications
  • 6. 3. Emergency Response to Natural Disasters 2008 Jan Monitoring of GLOF (Glacial Lake Outburst Flood) in the Himalayas   Feb Eruption of Sakurajima volcano(Showa crater), Kagoshima Prefecture   May Damage interpretations around Kitagawa, the Great Sichuan Earthquake   Jun Changes in Iwate-Miyagi inland earthquake slip   Aug Heavy rain flooded area estimation Aichi (town district Hishiike Kouda)   Aug Overflow of Kosi River in Nepal 2009 May Disaster in Northern Brazil (near the Parnaíba River) May Estimation of flood disasters due to cyclone “Aila” in Bangladesh 2010 Jan Estimation of earthquake victims in Haiti   Mar ~ Apr   Iceland volcano monitoring 2011    Jan   M onitoring eruptions of Shinmoedake volcano in Kirishima        Feb   Earthquake monitoring in Christchurch, New Zealand        Mar   Providing information about the Great East Japan Earthquake Major Initiatives
  • 7.
  • 8. 4.2 Detection of Collapsed Buildings References 1) Masashi MATSUOKA and Fumio YAMAZAKI: APPLICATION OF A METHODOLOGY FOR DETECTING BUILDING-DAMAGE AREA TO RECENT EARTHQUAKES USING SATELLITE SAR INTENSITY IMAGERIES AND ITS VALIDATION, J. Struct. Constr. Eng., AIJ, No. 558, 139-147, Aug., 2002 Diagram of Using Intensity Imagery - Before Earthquake Backscaterring of microwave radiated from a satellite is strong due to dual-bounce scattering between roads and buildings. - After Earthquake Backscattering becomes weak because microwave spreads toward various directions due to collapsed buildings. ⇒ Collapsed buildings are detectable by the difference of backscattering coefficient.
  • 9. 4.3 Detection of Collapsed Buildings (cont.) [ TerraSAR-X ] [Optical Image] Oct. 13, 2009 Oct. 11, 2009 Jan. 20, 2010 Jan. 13, 2010 (c) Infoterra GmbH, Distribution [PASCO] (c) Infoterra GmbH, Distribution [PASCO] (c) GeoEye (c) GeoEye Weak backscattering appear dark in the image. After After Before Before
  • 10. 4.4 Result: Detection of Collapsed Buildings
  • 11. 4.5 Result: Detection of Collapsed Buildings (cont.)
  • 12.
  • 13. 5.2 Emergency Observations of TerraSAR-X ① ② ③
  • 14. 5.3 Data Acquisition and Analysis Okinawa Tokyo ④ Obser vation ⑤ downlink ⑥ transfer ⑦ Analysis Sendai City Tokyo
  • 15.
  • 16.
  • 17. 5.6 Estimated Inundation Areas with a Post-Disaster Image Conversion of DN value into backscattering coefficient Areas more than a certain elevation to be masked to reduce commission errors caused by radar shadow. Define a threshold to determine the possible water areas (underlying conditions, such as incidence angles, taken into account) Inundation areas where the value is lower than the threshold are extracted and change maps are created. - TerraSAR-X Observations - Inundation Area Detection Method 37.3° HH StripMap Descending 4 April 2011 37.3° HH StripMap Descending 24 March 2011 37.3° HH StripMap Descending 13 March 2011 Inc. Angle Polarization Acq. Mode Orbit Direction Acq. Date (JST)
  • 18. 5.7 Estimated Inundation Areas with a Post-Disaster Image March 13 March 24 April 4
  • 19. 5.8 Estimated Inundation Areas with a Post-Disaster Image Water-pumping effort Field survey for ground truth Our analyses were used by River Bureau of Land, Infrastructure and Transportation Ministry to plan drain pump installation and confirm the outcome of their pumping efforts.
  • 20. 6. Summary ・ We have 22 emergency responses for major natural disasters,   including Haiti Earthquake and The Great East Japan Earthquake in 4 years since the launch of TerraSAR-X. ・ Our analyses and maps of the disasters were provided to the national and local government and utilized for the damage assessment and recovery efforts. ・ We keep our disaster monitoring system strengthened and distribute information and analyses of major disasters in order to further contribute to protect people’s life and safety .
  • 21.