Providing Geospatial Data and Disaster Mitigation

Transcription

1 Exchange Forum UN-GGIM February 3, 213, Doha Providing Geospatial Data and Disaster Mitigation Yuji Mesaki President and CEO

2 Contents of the presentation 1. Why geospatial information? 2. Mapping methodology 3. Disaster mitigation 4. Summery -1-

3 1. Why geospatial information? -2-

4 Profile Date of Establishment October 27, 1953 Head Office Tokyo, Japan Stock listing 1 st section Tokyo Stock Exchange Amount of Capital Net Sales JPY8,758 million (as of March 31, 212) Number of Employees 2, 55 (as of March 31, 212) JPY5.3 billion (consolidated basis, FY ended March 31, 212) -3-

5 Capability of Collecting Geospatial Information 15 Satellites data distributorship 24 Digital optical cameras 19 Analog cameras 12 Sensors (optical & LiDAR) 45 Aircraft for aerial surveys 53 Equipment for aerial survey 23 Dedicated measuring vehicles 37 Water body measuring equipment 2 Satellite signal receiving facilities (Ground Stations) Okinawa G/S Hokkaido G/S -4-

6 Potential of Geospatial Information Past Technology, processing and analysis of spatial information processing capabilities and advanced collection are required globally, socially, and for the human beings Municipality Disaster prevention and mitigation, recovery and reconstruction Efficiency for administrative work, and infrastructure development & its long stability -5-

7 Potential of Geospatial Information Present Technology, processing and analysis of spatial information processing capabilities and advanced collection are required globally, socially, and for the human beings Worldwide Municipality Enterprise Development and advancement of the state and city Disaster prevention and mitigation, recovery and reconstruction Efficiency of administrative work, and infrastructure development & its long stability Management strategy and efficiency, business continuity -6-

8 Potential of Geospatial Information Future Technology, processing and analysis of spatial information processing capabilities and advanced collection are required globally, socially, and for the human beings Earth Worldwide Municipality Enterprise Food Issues and Global Warming Development and advancement of the state and city Disaster prevention and mitigation, recovery and reconstruction Efficiency of administrative work, and infrastructure development & its long stability Management strategy and efficiency, business continuity Individual Convenience and comfort, safety and peace of mind -7-

9 Ability required for Geospatial Information Industry (1)Real-time capability and Archive Topographical information of 2D and 3D, Volume, capacity, such as the coordinates of forests and other structures, Statistical information and demographics, Such as position information and history of the moving object Accumulated spatial information in time series And, Rapidly, accurately measuring current situation -8-

10 Ability required for Geospatial Information Industry (1)Real-time capability and Archive Topographical information of 2D and 3D, Volume, capacity, such as the coordinates of forests and other structures, Statistical information and demographics, Such as position information and history of the moving object Accumulated spatial information in time series And, Rapidly, accurately measuring current situation -9-

11 Ability required for Geospatial Information Industry (1)Real-time capability and Archive Topographical information of 2D and 3D, Volume, capacity, such as the coordinates of forests and other structures, Statistical information and demographics, Such as position information and history of the moving object Accumulated spatial information in time series And, Rapidly, accurately measuring current situation -1-

12 Ability required for Geospatial Information Industry (1)Real-time capability and Archive Topographical information of 2D and 3D, Volume, capacity, such as the coordinates of forests and other structures, Statistical information and demographics, Such as position information and history of the moving object Accumulated spatial information in time series And, Rapidly, accurately measuring current situation + Archive -11-

13 ,48 +1,354 +1,69 +1,213 +1,777 +1,291 +1,428 +1,384 +1,37 +1,46 +1,168 +2,738 +2,7-1,71 +1,142 +1,55 +2,134 +1,5 +1,88 +2,26 +1,93-1,176 +1,93 +1,866 +1,642 +1,5 +1,695 +1,163 +1,178 +1,72 +1,284 +1,489 +2,456 +1,59 +1,38 +1,421 +1,717 +2,715 +1,8 +2,38 +2,27 +2,136 +1,151 +2,33 +1,57 +1,62 +1,521 +1,375 +1,439 +2,442 +1,68 +1,56 +1,178 +1,173 +1,279 +1,44 +3,748 +1,179 +1,17 +2,378 +1,483 +1,12 +1,384 +1,36 +1,2 +1,57 +1,44 +1,26 +1,127 +1,186 +1,228 +1,375 +1,86-1,166 +1,238 +1,693 +1,5 +2,9 +1,236 +1,565 +2,317 +1,63 +1,89 +1,16 +1,556 +1,5 +1,443 +1,724 +1,76-1,54 +1,227 +1,317 +1,33 +1,62 +3,88 +1,74 +2,62 +1,21 +1,22 +1,385 +1,477 +1,311 +1,667 +1,333 +1,517 +1,21 +1,182-1,344 +1,162 +1,25 +1,65 +1,514 +1,24 +1,36-1,232 +1,52 +1,472 +1,146 +3,489 +1,54 +1,979 +1,582 +1,111 +1,66 +1,115 +2,516 +1,12 +1,66 +1,677 +1,37 +1,168 +1,785 +1,5 +1,723 +1,117 +1,457 +1,244 +1,493 +1,64 +1,115 +1,82 +1,7 +1,132 +1,56 +2,531 +1,2 +1,274 +1,63 +3,383 +1,142 +1, -1,338 +1,48 +1,912 +1,355 +1,216 +1,23 +1,398 +1,21 +1,792 +1,2 +2,223 +1,15 +1,465 +2,257 +1,373 +2,151 +1,839 +1,146 +1,877 +1,156 +1,481 +1,67 +1,588 +1,554 +1, ,145 +1,352 +1,78 +1,441 +1,25 +1, ,934 +1,441 +1,539 +1,31 +1,165 +1,192 +1,69 +1,242-1,26 +1,5 +1,592 +1,67 +1, , , , , , , , 大田区大田区世田谷区世田谷区稲城市稲城市目黒区目黒区品川区品川区狛江市狛江市調布市調布市港区港区たなたなくじくじつるみつるみかもいかもいなるせなるせひよしひよしかまたかまたこづくえこづくえなかやまなかやまかわさきかわさきながつたながつたいちがおいちがおさぎぬまさぎぬまつるかわつるかわあおばだいあおばだいさつきだいさつきだいべんてんばしべんてんばししんよこはましんよこはまこどものくにこどものくにたまぷらーざたまぷらーざ +1, , ,582 +1,66 +1,66 +1,37 +1,5 +1,723 +1,493 +1,115 +1,82 +1,56 +2,531 +1,2 +3,383 +1,142 +1,912 +1,355 +1,216 Ability required for Geospatial Information Industry (2)Simulation technology Information and real-time information from the archive Extraction of differences and trends Providing simulation results such as such as market forecast, damage prediction, and deterioration prediction using technology ICT, in an easy-to-understand way And planning measures and strategies Market forecast Market forecast

14 Ability required for Geospatial Information Industry (2)Simulation technology Information and real-time information from the archive Extraction of differences and trends Providing simulation results such as market forecast, damage prediction, and deterioration prediction using technology ICT, in an easy-to-understand way And planning measures and strategies -13-

15 Ability required for Geospatial Information Industry (2)Simulation technology Information and real-time information from the archive Extraction of differences and trends Providing simulation results such as market forecast, damage prediction, and deterioration prediction Using technology ICT, in an easy-to-understand way And planning measures and strategies 現在 1 年後 2 年後 3 年後 -14-

16 2. Mapping Methodology -15-

17 Terrain Mapping Methodology Satellite Optical Stereo Pair Multi ASTER:DEM SPOT-5 ALOS:PRISM CARTOSAT Airborne SAR LiDAR SAR Digital Sensor StereoSAR InSAR InSAR Line Sensor Single SRTM:DEM ALOS:PALSAR RADARSAT ENVISAT ERS-1 TerraSAR-X & TanDem-X ALOS-2 QuickBird IKONOS EROS-A&B WorldView1,2 GeoEye ASNARO Area Sensor -16-

18 Stereo Mapping (Satellite Imageries) Mapping scale & accuracy Scale Horizontal 1/ 2,5 1.75m 1/ 5, 3.5m 1/ 1, 7.m 1/ 25, 17.5m 1/ 5, 35.m 1/ 2, 14m Vertical.67m 1.67m 3.33m 5.m 1.m 4m Stereo Pair Data Stereo Block Model creation Highly Accurate GCP Stereo Visualization Extraction of elevation data DSM Planimetric correction Orthorectified image External data use Ortho Image Creation 3D feature mapping 2D feature mapping Mapping procedure Green blue Planimetric corrected image Red Orthorectified image -17-

19 Utilization of PRISM for Stereo Plotting Simultaneously seamless images of ALOS/PRISM in 3 direction's at 2.5m spatial resolution - mapping for 1/25,-1/5,. Topographic map features are extracted by stereo plotting and editing, and contour lines are generated automatically and edited manually

20 Map Creation (small scale) Libya Map creation utilizing ALOS data at 1/25, scale PASCO/Included material JAXA -19-

21 WorldView-1 (Large scale mapping 1/1,) Launched in 27 High resolution Panchromatic Imaging system.5m (nadir) high resolution image Quick pointing More than twice the speed of existing sensor (Control Moment Gyros) Efficient same orbit color stereo acquisition 75, km 2 /day coverage High accuracy (6.5m, CE9%) DigitalGlobe Image A Off nadir angle: 7.8 GSD:.5m DigitalGlobe Image B Off nadir: 34.2 GSD:.7m -2-

22 Interferometry (Elevation:TerraSAR-X) TSX1 (1-25) TSX2 (2-5) Phase unwrapping Creation of Interferogram インターフェログラム Planemetric phase removal Geometric correction with GCP 地形縞 DEM conversion and rectification GCP 参照 DEM DEM Coherence 平面位相 地形縞 Filtering 地形縞 Coherence Interferometry DEM -21-

23 Airborne IFSAR Technology Data Acquisition Data Processing (From Intermap s document) Geospatial Database Field Verification 3D Editing Stereo Compilation -22-

24 Height extraction from SAR Exchange Forum UN GGIM, Doha Utilization of disparity of two (2) SAR images for height extraction Radargrammetry TerraSAR-X) Entire Tile, Slopes < 1 degrees: Mean:.124m St. Dev.: 5.29m RMSE: 5.3m Comparison to SRTM3-23

25 Airborne Laser Surveying PASCO is using all-digital, beginning-to-end photogrammetric process by utilizing airborne laser elevation measurement (LiDAR) & true digital aerial cameras, to create an automated, all-digital data acquisition & production system for efficiently & rapidly generating the various final products. GPS Base Station 1 km radius ALS5 Airborne GPS and IMU -24-

26 3. Disaster Mitigation -25-

27 Company policy Observing wide area information and 3D data creation Speedy day/night observation of the nation and data creation Data creation for observing narrow area with high accuracy Quick analysis of acquired data from various sensors, its visualization and supply Data relay and immediate processing functions in the areas of disaster Satellite data reception and processing Expansion of the Satellite Ground Station Network Constructing the integrated social system and aiming to provide information within three (3) hours The Japanese technology for Global Disaster Management

28 Efforts during Great East Japan Earthquake -27-

29 Automatic interpretation of topographic changes utilizing satellite imageries Pre-disaster Post-disaster Automatic topographic change detection from the difference of two satellite images. -28-

30 24 hours after the occurrence of disaster March 11 14:46 Earthquake occurrence 15:3 Acquisition planning and acquisition ordering 2: Establishing framework, preparation of previous images Existed Geospatial information Satellite images Aerial photos Population info. Elevation info., etc. From Hokkaido to whole Fukushima Pref. Topographic elevation map of less than 1m 2km zone Synthetic Aperture Radar TerraSAR-X imagery 21 October 21 Estimated seismic intensity distribution of East Japan -29-

31 Exchange Forum UN GGIM, Doha 24 to 48 hours after the occurrence of disaster Emergency acquisition of Satellite imageries Pre- and post comparison (October 21 and March 13, 211) Estimated flooded map of tsunami - 3

32 48 to 72 hours after the occurrence of disaster Estimated flooded map of north Fukushima Pref. Situation of sea surface -31-

33 72 hours after the occurrence of disaster Estimated flooded area map Investigation of the whole area, damages caused by tsunami from Aomori to Ibaraki Pre. March 24, completion of 1/25, scale map (At the same time, 1/1, by GSI) TerraSAR-X ALOS WorldView-1,2 SPOT-5 RapidEye Interpretation of the flooded area utilizing various satellites -32-

34 72 hours after the occurrence of disaster Map of flooded area changes by utilizing Synthetic Aperture Radar TerraSAR-X Satellite March 11(Pink) imagery March 24 (Orange) Imagery April 4 (Red) Imagery High resolution panoramic aerial photo -33-

35 High Resolution Heliborne Panoramic Oblique Photos High resolution heliborne panoramic oblique photos are highly useful for damage estimation of houses/buildings & properties. -34-

36 Map provision for the estimated flooded area around the Fukushima Daiichi nuclear power plant Creation of the flooded area map centered on the nuclear power plant Map parameters Target area:vicinity of Fukushima Daiichi Nuclear Power Station Used data:satellite (TerraSAR-X, WorldView-2, RapidEye, ALOS AVNIR2,SPOT5 5, EROS-B)based interpreted flooded areas. Background data:pfm, ZENRIN Zmap (House boundaries) Provided to:prime Minister of Japan and His Cabinet Created/supplied date:march 3 Explanation This map shows the range of 3 km from the 1st Fukushima Nuclear Power Plant and flooded areas

37 Contribution Examples of International Disaster Monitoring Major Initiatives 28 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 29 May Disaster in Northern Brazil (near the Parnaíba River) May Estimation of flood disasters due to cyclone Aila in Bangladesh 21 Jan Estimation of earthquake victims in Haiti Mar~Apr Iceland volcano monitoring 211 Jan Monitoring eruptions of Shinmoedake volcano in Kirishima Feb Earthquake monitoring in Christchurch, New Zealand Mar Providing information about the Great East Japan Earthquake Mar Eruption monitoring (Showa crater) Sakurajima, Kagoshima Prefecture Jul Imaging disaster stricken areas in northern Kyushu due to heavy rainfall

38 Sichuan Earthquake Damage Interpretation, May 28 Appreciation from the China's National Bureau of Surveying and Mapping(Geographical Survey Institute) (C)INFOTERRA GmbH, Distribution [PASCO]

39 Kirishima mountain range Shinmoedake eruption, January 211 Estimation of forest damage utilizing satellite (Forest Management Bureau, Forest Agency) Volcano Monitoring [National Research Institute for Earth Science and Disaster Prevention (NIED)] Occurred changes shown in red and blue. Changed areas had ash 航空機撮影 and dead forest and were 気仙沼地区 (4 月 1 日 ) extracted utilizing satellite data (interpretations and analysis of TerraSAR-X, ALOS data). (C)PASCO (C)PASCO 現地計測 (4 月 21 日 ) 地上計測車両撮影 (C)INFOTERRA GmbH, Distribution [PASCO] (C)PASCO (C)PASCO, KKC (C)PASCO -38-

40 4. Summery -39-

41 Conclusive Remarks A diverse multitude of geospatial information application needs existence around the world. These range from countries like Japan, which are already making use of geospatial information at an advanced level, to countries that have not yet developed the National Spatial Data Infrastructure (NSDI) necessary for national development. Today I introduced several kinds of geospatial information creation and is utilization. This kind of data was practically utilized for mitigating disasters. Finally I introduced the application of the geospatial information for the Great East Japan Earthquake. It was widely utilized by the local agencies and national governmental organization. -4-

42 -41-