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Dr. Hiromichi  FUKUI     Professor, Faculty of Policy Management,  Global Security Research Center,  Keio University [email_address] Future Direction of Geoinfomatics/ICT for  Disaster Risk Reduction 11, August, 2010 ASEAN Cooperation Project on Utilization of Space Technology for Disaster Management
Presentation Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Introduction of Keio University  SFC ( S honan  F ujisawa  C ampus) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Keio founder, Yukichi Fukuzawa, who is most visible as the man portrayed on Japan's 10,000-yen note, is best known as one of modern Japan's first statesmen, a man responsible for introducing Western education, institutions, and social thought to Japan . Japan's very first private institution  of higher Education
the Graduate School of Media and Governance  new problem-solving approaches cutting across disciplinary boundaries ,[object Object],[object Object],[object Object]
Core Research Subjects in GSEC Studies on Global  Innovation Systems  Studies on Asian  Security System  Studies on Emerging Crises for Human Security  Policy, Economy, Society, Energy, Environment, Food,…… From alert to strategy studies on Security with a view to generating objective assessments and policy recommendation  Decision Support Systems ( alert,  …) Data Base G lobal  Sec urity Research Institute Digital Earth for Planetary Emergency Monitor for Watch Modeling  for Warning
Three Layers Model in Geo-Informatics Cognition of change in Environment and space Simulation Synthesis Equation of potential/ continuity Process Model Creation of Value, Belief, Idea, Principle Modeling for  human behavior and information flow Monitoring Sensing observation/ field Work GIS ・ RS Dissemination Distribution Behavior norm Policy Making Consensus Making Urban area g-contents , SDI g-life, go-enabling society
Road Traffic ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Road Traffics - 0.002353 - 0.006782 - 0.011211 - Mean - 0.01564 - 0.020068 - 0.024497 - 0.028926 - 0.033355 - 0.037784 - 0.090717 ppm / h NOx
Land Value Evaluation System 5 6 1 2 3
Visualization by WebGIS:  4D +10m 1998 1939 Time scale Before After
Risk Estimation by Topography Valley at 40years ago ? High Intensity of an Earthquake
Ex. Location Based Management (LBM) Geo-enabling Society Telecommunications Internet GIS Location Services GeoMobility  Server Ubi-GIS :      Computer 、 Sensor 、 Mobile phone  +  GIS GIScience Ubiquitous   Computing UbiGIS
Early detection   Early warning   Normal level  El-Nino Watch Monitoring area
 
Every organization does three things …
 
 
 
 
 
RECONSTRUCTION OF PAST G eographic  I nformatio n  on GIS Process Model Vegetation Soil Climate Multivariate Statistics Markov Model Agent-based Model Ecosystem Model Ecosystem Landscape Properties Management GI – Ecosystem Studies Integration Prediction of the effects of Environmental Change Risk Assessment, Sustainable land use,… Remediation, Restoration,….
The Digital Earth Vision ,[object Object],[object Object],[object Object],[object Object]
Public Tools & Technology Tools & Technology Applications Enabling Citizens and Communities Enabling Citizens and Communities Interoperability Interoperability Collecting Data Collecting Data EARTH EARTH Private Digital Resources Digital Resources Understanding Digital Earth (White paper by NASA Digital Earth office, 2000)
Digital Earth (DE) History 1999 -1 st  Inter. Sympo., CAS,  Beijing , China,  Towards DE Established “International Steering Committee for ISDE 2001 -2 nd  Inter. Sympo.,  New Brunswick , Canada,  Beyond Inf. Infra . 2003 -3 rd  International Symposium,  Brno , Czech Rep.    DE --  Information  Resources for Global Sustainability 2005 -4 th  International Symposium, March 28-31,  Tokyo , Japan             DE as the Global Commons 200 6 -1 st   International Society of Digital Earth launched                   on May 21, at Beijing New ISDE kicked off 2007- 5 th  International Symposium, June 5-9, San Francisco, USA Grand challenge Digital Earth  3D visualization  Contest 2009-6 th  International Symposium, September 12-15,  Beijing,  China. New stage of developing the Digital Earth
Nature Vol.439, 16 February,2006 Mapping for the MASSES “ Just as the PC democratized computing, so systems like Google Earth will democratize GIS.” Google Earth Population >200,000,000 Michael Jones CTO, Google Earth at Map World Forum 2007, India
Framework of Digital Earth Network Providers IP backbone for Internet, Intranet and Extranet Network security Managed network services Network Service Providers Network access Network security administration Distributed hosting Secure messaging and transaction processing Application & Content Providers Global Network Infrastructure Service Providers • Consumer services (e.g. electronic commerce) • Business services (e.g. supply chain mgmt) • Government services (e.g. emergency response) Industry Business Govern -ment Univer -sity Citizen Ubiquitous Geo-processing Environment  Communications and collaboration Information search and exchange Web applications (e.g. electronic catalogs) Content production EDI Digital Map Statistics Images Clearing- House for Admini. Semantics Transfer Data  Conversion Compression Ontology Clearing- House for Public National Spatial Data Infrastructure Government Environment Tourism Education Disaster  Management  Population Food Problems  Emergency Management  Medical  Services Urban Development ITS, etc. Evaluation, validation by user From social context
The Earth is a complex system of systems : GEO   Data are required from multiple observation networks and systems
Sensor Web Concept View Image from the NASA report  ESTO AIST Sensor Web Technology Meeting  Feb 2007
Global Earth Observation System of Systems ( GEOSS ) EO from space provides valuable information to feed early- warning systems
Global Observation Networks and Model Simulation Capabilities
Approaches for GEOSS Interoperability Data and information need to be  interoperable They have to be described with  “languages” translatable  to each other.
GEOSS Component and  Service Registry GEOSS Standards and Interoperability Registry Best Practices Wiki User Requirements Registry Registries Main GEO Web Site GEOSS Common Infrastructure (GCI) Metadata; Summary of contributed resources Showcase to visualize contributed resources Supporting metadata design and use Services Data and information Websites/ Portals Contributed Resources GEOSS Clearinghouse GEOSS Clearinghouse GEOSS Clearinghouse GEO Web Portal GEO Web Portal GEO Web Portal enabling transverse data search Users Access to the original resources
Interoperable G-server WMS, WFS, WCS Feature Attributes Mesh Data Shape file Mesh data Shape file metadata Upload Metadata WMS WFS, WCS Interoperable G-Server Metadata DB Clearinghouse OpenLayers GeoServer Mapserver ArcIMS, etc WebGIS Google Earth Quantum GIS ArcGIS uDig, etc Desktop GIS Register metadata Search query Capability Analysis, Application
Bangladesh Vietnam Laos Philippines Mongolia Sri Lanka Pakistan Indonesia Myanmar Cambodia Thailand Japan Korea Bhutan India Uzbekistan Malaysia China Nepal Why  m etadata are needed? And how can we  d evelop? In case of Asian Water Cycle Initiative…… Case study river basins
Without  M etadata,  you have to check  all River Basin Data files. Data File Data File River basin Data File Data File River Basin Data File River Data File River Data File Data File River Data File River Data File River Basin Data File DB Very time consuming! I want to select a river basin with the  size  less than 1000km2 and  annual rainfall  more than 1500mm
With  M etadata, we can easily browse the summary of the All Data Files! Data File Data File River basin Data File Data File River Basin Data File River Data File River Data File Data File River Data File River Data File River Basin Data File DB Metadata Summary of data with  standard “language” River_Basis_Area:  ・・・・  Annual Rainfall:  ・・・・・ ・・・・・・・・ River_Basis_Area:  ・・・・  Annual Rainfall:  ・・・・・ ・・・・・・・・ River_Basis_Area:  ・・・・  Annual Rainfall:  ・・・・・ ・・・・・・・・ River_Basis_Area:  ・・・・  Annual Rainfall:  ・・・・・ ・・・・・・・・ River_Basis_Area:  ・・・・  Annual Rainfall:  ・・・・・ ・・・・・・・・ River_Basis_Area:  ・・・・  Annual Rainfall:  ・・・・・ ・・・・・・・・ River_Basis_Area:  ・・・・  Annual Rainfall:  ・・・・・ ・・・・・・・・ River_Basis_Area:  ・・・・  Annual Rainfall:  ・・・・・ ・・・・・・・・ River_Basis_Area:  ・・・・  Annual Rainfall:  ・・・・・ ・・・・・・・・ River_Basis_Area:  ・・・・  Annual Rainfall:  ・・・・・ ・・・・・・・・
With  M etadata, we can easily browse the summary of the All Data Files! Data File Data File River basin Data File Data File River Basin Data File River Data File River Data File Data File River Data File River Data File River Basin Data File DB River_Basis_Area:  ・・・・  Annual Rainfall:  ・・・・・ ・・・・・・・・ River_Basis_Area:  ・・・・  Annual Rainfall:  ・・・・・ ・・・・・・・・ River_Basis_Area:  ・・・・  Annual Rainfall:  ・・・・・ ・・・・・・・・ River_Basis_Area:  ・・・・  Annual Rainfall:  ・・・・・ ・・・・・・・・ River_Basis_Area:  ・・・・  Annual Rainfall:  ・・・・・ ・・・・・・・・ River_Basis_Area:  ・・・・  Annual Rainfall:  ・・・・・ ・・・・・・・・ River_Basis_Area:  ・・・・  Annual Rainfall:  ・・・・・ ・・・・・・・・ River_Basis_Area:  ・・・・  Annual Rainfall:  ・・・・・ ・・・・・・・・ River_Basis_Area:  ・・・・  Annual Rainfall:  ・・・・・ ・・・・・・・・ River_Basis_Area:  ・・・・  Annual Rainfall:  ・・・・・ ・・・・・・・・ I want to select a river basin with the  size  less than 1000km2 and  annual rainfall  more than 1500mm
Geo-enabling Society  Using Integrated, Shared, Interoperable GIS Interoperable  GIS platform Governmental Municipality University,  School Public facilities Enterprise Resident
 
  Feature service  Validation  and  Evaluation  Through Internet Citizen Site Management    Standalone GIS       Handicap Supporting Site Geo-coding Services  Other Data  Providing Services Satellite Image Residential Map Spatial Dictionary ( Gazetteer )  Geo-Browser Internet NSDI, GSDI, GM Data Providing Services Environment Site Bulletin Board Communication Site Crisis  Management Site Data Input Providing Spatial  Data        Common Services Interface NGO,NPO operating Site Cooperation with GIS SOHO Hazard Mapping Environmental Information Data Input Providing Data Input Providing Data Input Providing Move to Spatial  Information Infrastructure Risk Communication Facilities Buildings     Feature Service  Common map ( road, water, Boundary, etc. ) Environment Information Barrier Information Public Opinion Hazard Data Private Map Services Co. Membership Minimum Fee Communication Server Geo-Browser Geo-Browser Geo-Browser Barrier free map Evolution of Contents by Participatory GIS
Interoperable GIS … WMS: Web Mapping Service (ISO-19128) … WFS: Web Feature Service (ISO-19142) … WCS: Web Coverage Service (ISO-191xx) else: WPS, SOS, OLS, etc. Before After Stand-Alone WebGIS PDF Image (jpg, png, gif, etc) Internet Internet Image data (jpg, png, gif) Vector data (point, line, poly) Mesh data International Standard
Voluntary GI Interoperability Local people Local Gov . Research  Institute University Hazard Map for Flood Proposed by Local Gov. Voluntary GI Integrated GIS Hazard map Simulation Semantic Map GI platform
New fact finding and missing link finding Local people Matching between Local people and Government Image Fact finding Observation landslide Hazard Map Interoperable GIS Municipality Government ① ②
Visualization by AR WFS Interoperable GIS Augmented Reality
Editorial Next-Generation Digital Earth International Journal of Spatial Data Infrastructures Research, 2008, Vol. 3, 146-167
Near Real time Monitoring Remote Sensing Data Processing Digital Asia : Gateway for Global Security 3D-Geo and Time Browser Ubiquitous Computing Environment   Ontological Crawler Application Services By Grid Computing Social Natural Measuring the  Real  State of the World Decoding the Earth and Human Evolution Towards Intersubjectivities Global Trends Data Resources EO, SDI Spatial Statistics News, Comments Web log Digital Asia Research Centre for Strategic Design, Keio University Academic Frontier Project, Matching Fund Subsidy from MEXT(2004-2009) Media Browser
http://www.digitalasia.sfc.keio.ac.jp/
Geo Web Services :  Digital Asia Platform for data sharing Sensor Web IFnet GFAS JMA MTSAT ISRO IRS KARI KOMSAAT-1 JAXA ALOS Data Applications (Thick Client) Decision Support System      Forcasting ・ Risk Assessment ・・・・ WFS WMS WCS Cat Gaz Internet @KEIO Digital  Asia Internet Geospatial One-Stop Portal User Interface Widgets Analysis Symbols Help Web Browser (Thin Client) Services Sentinel Asia, Disaster Management SS, ・・ Interoperable Web-GIS Web-services Clearinghouse standard
From Digital Earth Server in Keio From Organization  A (population) GPS equipped mobile device registered Data through Digital Earth Server From Organization  B (HotSpot FTPserver) Overlay Socio-Economic data Ground Truth, HotSpot etc. Satellite Image Map  Overlay Image From Organization  C From Organization  D From Organization  E From Organization  E From Digital Earth Server in Keio Retrieving by Space and Time  to access Distributed Data Server APRSAF
Metadata up-loader user interface . “This up-loader has metadata editor .” ,[object Object],[object Object],[object Object],[object Object]
Digital Asia Node Network 1. AIT/(GISTDA), Thailand 2. LAPAN, Indonesia 3. Survey Department, Sri Lanka 4. Institute of Geography/VAST, Vietnam 5. ICIMOD 6. UNEP-AP 7. National University Mongolia  8. GI, Bhutan ……
 
 
Near Real time Monitoring Remote Sensing Data Processing Digital Asia : Gateway for Global Security 3D-Geo and Time Browser Ubiquitous Computing Environment   Ontological Crawler Application Services By Grid Computing Social Natural Measuring the  Real  State of the World Decoding the Earth and Human Evolution Towards Intersubjectivities Global Trends Data Resources EO, SDI Spatial Statistics News, Comments Web log Digital Asia Research Centre for Strategic Design, Keio University Academic Frontier Project, Matching Fund Subsidy from MEXT(2004-2009) 人間が受け止めた事象 客観的な変化 Media Browser
Application to Semantic Web by Ontology ,[object Object],Ontology Based crawler summaries Lists of target Web Sites sites scrape classify dictionaries
How we use Ontology on the Digital Asia Project There are enormous information one the web, but accurate information are few… An accuracy of the news contents are high, and the frequency of updates and volume of information are steady, so the quality of the text mining is accurate.
2 How can we gather news from web sites.
How we analyze news from web sites
How we analyze news   from web sites
the Asia News Ranking System
News Mapping
World News Remark Index
Sentinel Asia Project Sentinel Asia APRSAF* Space Community Satellite Image Content Promotion of Utilization Capacity Building Web-GIS Data / Meta Data Management Information Sharing Platform Content Digital Asia Digital Earth / Web-GIS Community Digital Map Social / Economic Data Satellite Image Disaster Reduction Community Disaster Information Content Utilization (User) ADRC** Member Countries UN / ESCAP    UN / OOSA ASEAN  AIT  etc. International Community International Cooperation ** Asian Disaster Reduction Center Joint Project Team (JPT) Join Project Team consists of total 52 organizations including 45 agencies from  19  countries and 7 international organizations as of January 2007 * Asian Disaster Reduction Center * Asian-Pacific Regional Space Agency Forum
Sentinel Asia’s role in relief coordination ,[object Object],[object Object],[object Object],What are the needs?? What is the damage?? Who will respond?? Is it a disaster?? How many people?? What is offered?? time What is needed now??
Overall Flow of Sentinel Asia
 
Sentinel Asia Web Site http://dmss.tksc.jaxa.jp/sentinel/
Satellite Images before and after disaster
Satellite Image and Population Density Data
 
Evaluation of HotSpot Detection Algorism  using GIS http://arrs.adrc.or.jp/adrc/MyMap/wildfire_0703/index.jsp    Thai Chiengmai ALOS Field Survey MODIS MTSAT
Daily Precipitation Probability Daily Precipitation
 
Enlarged Satellite Image on GIS (Flood in Thailand)
Satellite Images before and after disaster
Satellite Image and DEM ( SRTM)
Satellite Image and DEM
Satellite Image and Population Density Data
Comparison of different Sensor Images
Integrated GIS and Disaster Management , Flood and Landslide Hazard and Risk Mapping
GIFU Prefecture JAXA Furusato GIS Center ①  ALOS Satellite Image ②  Hazard Area Detection Integratede GIS From JAXA From GIFU Request User Disaster Real Time Information GIS User in  Disaster Div. Ground Truth and Survey User Sentinel Asia and Integrated GIS
Emergency Response with Integrated GIS ALOS Satellite Tasking
Before After Sep, 3 rd . 10:41 am
Flooded Area on Hazard Map
Future Use in Emergency Responce and Disaster Recovery by GIFU Integrated GIS and Sentinel Asia GIFU JAXA Escape and Support Route Flooded House ALOS Image Hazard Map Base map Flood Detection
Potential   subprojects  ,[object Object],[object Object],[object Object]
Climate change adaptation by ADB ,[object Object],[object Object],[object Object],EDSA Shangri-La Hotel, Manila, Philippines: 5-6 July 2010
IPCC SPM repot (2007) Himalaya as a global warming front   as The Third Pole
Impact of climate change is well observed in the  Himalayan The warming in the Himalayas in last three decades has been between 0.15 °C - 0.6 °C per decade (ICIMOD) Several studies show that most of glaciers in Himalaya are shrinking  at accelerated rates in recent decades -  Melting Glaciers,  -  Growing Glacial lakes, and -  Glacial lakes Outburst Floods (GLOFs)
Adaptation for  GLOFs(Glacial Lake Outburst Floods)  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
The UN's climate science panel has admitted it made a mistake in asserting that Himalayan glaciers could disappear by 2035.
“ we can state that the majority of glaciers in the region are in a general condition of retreat, although with some regional differences” “ although the lack of information and knowledge about the glacier melt processes in the Himalayas has been used to politicise the larger issues, the positive aspect of the debate has been the immense awaareness created at various levels including politicians, decision makers, the media and the public at large”
Solar energy-based systems to serve as  Early Warning System by Wireless Sensor Network 5 Wireless Base  Station ,[object Object],[object Object],[object Object],[object Object],School Residents Hospital Solar Power Internet Wireless Coverage site In Off-Grid Area Environmental Monitoring Capacity Building Local NGO, University
The Himalayan mountain system developed from the powerful earth movements which occurred as the Indian plate pressed against the Eurasian continental plate. Main Central Thrust
Imja Glacial Lake in Himalayan Range ( SRTM + ALOS )
[object Object],[object Object],[object Object],Imja Glacier Retreat and Growing Lake ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Keio Unv. ADRC** ICIMOD International Community ** Asian Disaster Reduction Center Glacial Lake Outburst Flood  Monitoring Working Group Framework of GLOF WG ADRC GLOF Projects (Bhutan, ……  ) ・ Field Survey ・ Hazard/ Risk Mapping ・ Capacity Building ・ Monitoring   Glacial Lake ・ Field Survey ・ Hazard /Risk Mapping JAXA Secretariat ・ Sup p ort WG ・ Create   HP ・ Field Survey ・ Hazard/ Risk Mapping ・ Capacity Building ・ Outburst Flood   Simulation http://gibson.sfc.keio.ac.jp/Website/windpower/   ICHARM
the Glacial Lake Outburst Flood Monitoring  Working Group(GLOF-WG)   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
ALOS Networking of field sensor and transmission station in  Mt. Everest region for the real time monitoring of Lake Imja Tsho    Pangboche    Dingboche ,[object Object],[object Object],   Chhukung Ri    Tengboche    Imja lake    Khumbu Glacier    Everest 25 Km
 
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Field Server Field Server Solar Panel Wireless Antenna A Field Server  is a sensor node which can create a wireless sensor network and simultaneously serve as Wi-Fi hotspots in open fields.
 
Imja Website – Sensor Data
Triggers of GLOF http://wwwsoc.nii.ac.jp/ajg/ejgeo/210124iwata.pdf
Systematic Mitigation and Adaptation for GLOF More than 200 ; Potentially dangerous glacial lakes Source : ICIMOD  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Temporary Architecture for Himalaya Solar Powered Field laboratory
Towards International Rescue Base GIS Center Disaster Medical Care Center Disaster Equipment Center Risk Communication Risk  Consultant Cooperation Collaboration Thunderbird ? http://laird.fluid.energy.osakafu-u.ac.jp/Mworld/thunderbird/models-tb.html Shift to Operational MODE !
-- Please Contact at;  [email_address] See you  on Digital EARTH !

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Future direction of geoinfomatics

  • 1. Dr. Hiromichi FUKUI Professor, Faculty of Policy Management, Global Security Research Center, Keio University [email_address] Future Direction of Geoinfomatics/ICT for Disaster Risk Reduction 11, August, 2010 ASEAN Cooperation Project on Utilization of Space Technology for Disaster Management
  • 2.
  • 3.
  • 4.
  • 5. Core Research Subjects in GSEC Studies on Global Innovation Systems Studies on Asian Security System Studies on Emerging Crises for Human Security Policy, Economy, Society, Energy, Environment, Food,…… From alert to strategy studies on Security with a view to generating objective assessments and policy recommendation Decision Support Systems ( alert, …) Data Base G lobal Sec urity Research Institute Digital Earth for Planetary Emergency Monitor for Watch Modeling for Warning
  • 6. Three Layers Model in Geo-Informatics Cognition of change in Environment and space Simulation Synthesis Equation of potential/ continuity Process Model Creation of Value, Belief, Idea, Principle Modeling for human behavior and information flow Monitoring Sensing observation/ field Work GIS ・ RS Dissemination Distribution Behavior norm Policy Making Consensus Making Urban area g-contents , SDI g-life, go-enabling society
  • 7.
  • 8. Land Value Evaluation System 5 6 1 2 3
  • 9. Visualization by WebGIS: 4D +10m 1998 1939 Time scale Before After
  • 10. Risk Estimation by Topography Valley at 40years ago ? High Intensity of an Earthquake
  • 11. Ex. Location Based Management (LBM) Geo-enabling Society Telecommunications Internet GIS Location Services GeoMobility Server Ubi-GIS :      Computer 、 Sensor 、 Mobile phone  +  GIS GIScience Ubiquitous Computing UbiGIS
  • 12. Early detection Early warning Normal level El-Nino Watch Monitoring area
  • 13.  
  • 14. Every organization does three things …
  • 15.  
  • 16.  
  • 17.  
  • 18.  
  • 19.  
  • 20. RECONSTRUCTION OF PAST G eographic I nformatio n on GIS Process Model Vegetation Soil Climate Multivariate Statistics Markov Model Agent-based Model Ecosystem Model Ecosystem Landscape Properties Management GI – Ecosystem Studies Integration Prediction of the effects of Environmental Change Risk Assessment, Sustainable land use,… Remediation, Restoration,….
  • 21.
  • 22. Public Tools & Technology Tools & Technology Applications Enabling Citizens and Communities Enabling Citizens and Communities Interoperability Interoperability Collecting Data Collecting Data EARTH EARTH Private Digital Resources Digital Resources Understanding Digital Earth (White paper by NASA Digital Earth office, 2000)
  • 23. Digital Earth (DE) History 1999 -1 st Inter. Sympo., CAS, Beijing , China, Towards DE Established “International Steering Committee for ISDE 2001 -2 nd Inter. Sympo., New Brunswick , Canada, Beyond Inf. Infra . 2003 -3 rd International Symposium, Brno , Czech Rep. DE -- Information Resources for Global Sustainability 2005 -4 th International Symposium, March 28-31, Tokyo , Japan            DE as the Global Commons 200 6 -1 st International Society of Digital Earth launched                on May 21, at Beijing New ISDE kicked off 2007- 5 th International Symposium, June 5-9, San Francisco, USA Grand challenge Digital Earth 3D visualization Contest 2009-6 th International Symposium, September 12-15, Beijing, China. New stage of developing the Digital Earth
  • 24. Nature Vol.439, 16 February,2006 Mapping for the MASSES “ Just as the PC democratized computing, so systems like Google Earth will democratize GIS.” Google Earth Population >200,000,000 Michael Jones CTO, Google Earth at Map World Forum 2007, India
  • 25. Framework of Digital Earth Network Providers IP backbone for Internet, Intranet and Extranet Network security Managed network services Network Service Providers Network access Network security administration Distributed hosting Secure messaging and transaction processing Application & Content Providers Global Network Infrastructure Service Providers • Consumer services (e.g. electronic commerce) • Business services (e.g. supply chain mgmt) • Government services (e.g. emergency response) Industry Business Govern -ment Univer -sity Citizen Ubiquitous Geo-processing Environment Communications and collaboration Information search and exchange Web applications (e.g. electronic catalogs) Content production EDI Digital Map Statistics Images Clearing- House for Admini. Semantics Transfer Data Conversion Compression Ontology Clearing- House for Public National Spatial Data Infrastructure Government Environment Tourism Education Disaster Management Population Food Problems Emergency Management Medical Services Urban Development ITS, etc. Evaluation, validation by user From social context
  • 26. The Earth is a complex system of systems : GEO Data are required from multiple observation networks and systems
  • 27. Sensor Web Concept View Image from the NASA report ESTO AIST Sensor Web Technology Meeting Feb 2007
  • 28. Global Earth Observation System of Systems ( GEOSS ) EO from space provides valuable information to feed early- warning systems
  • 29. Global Observation Networks and Model Simulation Capabilities
  • 30. Approaches for GEOSS Interoperability Data and information need to be interoperable They have to be described with “languages” translatable to each other.
  • 31. GEOSS Component and Service Registry GEOSS Standards and Interoperability Registry Best Practices Wiki User Requirements Registry Registries Main GEO Web Site GEOSS Common Infrastructure (GCI) Metadata; Summary of contributed resources Showcase to visualize contributed resources Supporting metadata design and use Services Data and information Websites/ Portals Contributed Resources GEOSS Clearinghouse GEOSS Clearinghouse GEOSS Clearinghouse GEO Web Portal GEO Web Portal GEO Web Portal enabling transverse data search Users Access to the original resources
  • 32. Interoperable G-server WMS, WFS, WCS Feature Attributes Mesh Data Shape file Mesh data Shape file metadata Upload Metadata WMS WFS, WCS Interoperable G-Server Metadata DB Clearinghouse OpenLayers GeoServer Mapserver ArcIMS, etc WebGIS Google Earth Quantum GIS ArcGIS uDig, etc Desktop GIS Register metadata Search query Capability Analysis, Application
  • 33. Bangladesh Vietnam Laos Philippines Mongolia Sri Lanka Pakistan Indonesia Myanmar Cambodia Thailand Japan Korea Bhutan India Uzbekistan Malaysia China Nepal Why m etadata are needed? And how can we d evelop? In case of Asian Water Cycle Initiative…… Case study river basins
  • 34. Without M etadata, you have to check all River Basin Data files. Data File Data File River basin Data File Data File River Basin Data File River Data File River Data File Data File River Data File River Data File River Basin Data File DB Very time consuming! I want to select a river basin with the size less than 1000km2 and annual rainfall more than 1500mm
  • 35. With M etadata, we can easily browse the summary of the All Data Files! Data File Data File River basin Data File Data File River Basin Data File River Data File River Data File Data File River Data File River Data File River Basin Data File DB Metadata Summary of data with standard “language” River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・
  • 36. With M etadata, we can easily browse the summary of the All Data Files! Data File Data File River basin Data File Data File River Basin Data File River Data File River Data File Data File River Data File River Data File River Basin Data File DB River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ I want to select a river basin with the size less than 1000km2 and annual rainfall more than 1500mm
  • 37. Geo-enabling Society Using Integrated, Shared, Interoperable GIS Interoperable GIS platform Governmental Municipality University, School Public facilities Enterprise Resident
  • 38.  
  • 39.   Feature service Validation and Evaluation Through Internet Citizen Site Management    Standalone GIS       Handicap Supporting Site Geo-coding Services Other Data Providing Services Satellite Image Residential Map Spatial Dictionary ( Gazetteer ) Geo-Browser Internet NSDI, GSDI, GM Data Providing Services Environment Site Bulletin Board Communication Site Crisis Management Site Data Input Providing Spatial Data        Common Services Interface NGO,NPO operating Site Cooperation with GIS SOHO Hazard Mapping Environmental Information Data Input Providing Data Input Providing Data Input Providing Move to Spatial Information Infrastructure Risk Communication Facilities Buildings     Feature Service Common map ( road, water, Boundary, etc. ) Environment Information Barrier Information Public Opinion Hazard Data Private Map Services Co. Membership Minimum Fee Communication Server Geo-Browser Geo-Browser Geo-Browser Barrier free map Evolution of Contents by Participatory GIS
  • 40. Interoperable GIS … WMS: Web Mapping Service (ISO-19128) … WFS: Web Feature Service (ISO-19142) … WCS: Web Coverage Service (ISO-191xx) else: WPS, SOS, OLS, etc. Before After Stand-Alone WebGIS PDF Image (jpg, png, gif, etc) Internet Internet Image data (jpg, png, gif) Vector data (point, line, poly) Mesh data International Standard
  • 41. Voluntary GI Interoperability Local people Local Gov . Research Institute University Hazard Map for Flood Proposed by Local Gov. Voluntary GI Integrated GIS Hazard map Simulation Semantic Map GI platform
  • 42. New fact finding and missing link finding Local people Matching between Local people and Government Image Fact finding Observation landslide Hazard Map Interoperable GIS Municipality Government ① ②
  • 43. Visualization by AR WFS Interoperable GIS Augmented Reality
  • 44. Editorial Next-Generation Digital Earth International Journal of Spatial Data Infrastructures Research, 2008, Vol. 3, 146-167
  • 45. Near Real time Monitoring Remote Sensing Data Processing Digital Asia : Gateway for Global Security 3D-Geo and Time Browser Ubiquitous Computing Environment Ontological Crawler Application Services By Grid Computing Social Natural Measuring the Real State of the World Decoding the Earth and Human Evolution Towards Intersubjectivities Global Trends Data Resources EO, SDI Spatial Statistics News, Comments Web log Digital Asia Research Centre for Strategic Design, Keio University Academic Frontier Project, Matching Fund Subsidy from MEXT(2004-2009) Media Browser
  • 47. Geo Web Services : Digital Asia Platform for data sharing Sensor Web IFnet GFAS JMA MTSAT ISRO IRS KARI KOMSAAT-1 JAXA ALOS Data Applications (Thick Client) Decision Support System      Forcasting ・ Risk Assessment ・・・・ WFS WMS WCS Cat Gaz Internet @KEIO Digital Asia Internet Geospatial One-Stop Portal User Interface Widgets Analysis Symbols Help Web Browser (Thin Client) Services Sentinel Asia, Disaster Management SS, ・・ Interoperable Web-GIS Web-services Clearinghouse standard
  • 48. From Digital Earth Server in Keio From Organization A (population) GPS equipped mobile device registered Data through Digital Earth Server From Organization B (HotSpot FTPserver) Overlay Socio-Economic data Ground Truth, HotSpot etc. Satellite Image Map Overlay Image From Organization C From Organization D From Organization E From Organization E From Digital Earth Server in Keio Retrieving by Space and Time to access Distributed Data Server APRSAF
  • 49.
  • 50. Digital Asia Node Network 1. AIT/(GISTDA), Thailand 2. LAPAN, Indonesia 3. Survey Department, Sri Lanka 4. Institute of Geography/VAST, Vietnam 5. ICIMOD 6. UNEP-AP 7. National University Mongolia 8. GI, Bhutan ……
  • 51.  
  • 52.  
  • 53. Near Real time Monitoring Remote Sensing Data Processing Digital Asia : Gateway for Global Security 3D-Geo and Time Browser Ubiquitous Computing Environment Ontological Crawler Application Services By Grid Computing Social Natural Measuring the Real State of the World Decoding the Earth and Human Evolution Towards Intersubjectivities Global Trends Data Resources EO, SDI Spatial Statistics News, Comments Web log Digital Asia Research Centre for Strategic Design, Keio University Academic Frontier Project, Matching Fund Subsidy from MEXT(2004-2009) 人間が受け止めた事象 客観的な変化 Media Browser
  • 54.
  • 55. How we use Ontology on the Digital Asia Project There are enormous information one the web, but accurate information are few… An accuracy of the news contents are high, and the frequency of updates and volume of information are steady, so the quality of the text mining is accurate.
  • 56. 2 How can we gather news from web sites.
  • 57. How we analyze news from web sites
  • 58. How we analyze news from web sites
  • 59. the Asia News Ranking System
  • 62. Sentinel Asia Project Sentinel Asia APRSAF* Space Community Satellite Image Content Promotion of Utilization Capacity Building Web-GIS Data / Meta Data Management Information Sharing Platform Content Digital Asia Digital Earth / Web-GIS Community Digital Map Social / Economic Data Satellite Image Disaster Reduction Community Disaster Information Content Utilization (User) ADRC** Member Countries UN / ESCAP   UN / OOSA ASEAN AIT etc. International Community International Cooperation ** Asian Disaster Reduction Center Joint Project Team (JPT) Join Project Team consists of total 52 organizations including 45 agencies from 19 countries and 7 international organizations as of January 2007 * Asian Disaster Reduction Center * Asian-Pacific Regional Space Agency Forum
  • 63.
  • 64. Overall Flow of Sentinel Asia
  • 65.  
  • 66. Sentinel Asia Web Site http://dmss.tksc.jaxa.jp/sentinel/
  • 67. Satellite Images before and after disaster
  • 68. Satellite Image and Population Density Data
  • 69.  
  • 70. Evaluation of HotSpot Detection Algorism using GIS http://arrs.adrc.or.jp/adrc/MyMap/wildfire_0703/index.jsp    Thai Chiengmai ALOS Field Survey MODIS MTSAT
  • 71. Daily Precipitation Probability Daily Precipitation
  • 72.  
  • 73. Enlarged Satellite Image on GIS (Flood in Thailand)
  • 74. Satellite Images before and after disaster
  • 75. Satellite Image and DEM ( SRTM)
  • 77. Satellite Image and Population Density Data
  • 78. Comparison of different Sensor Images
  • 79. Integrated GIS and Disaster Management , Flood and Landslide Hazard and Risk Mapping
  • 80. GIFU Prefecture JAXA Furusato GIS Center ① ALOS Satellite Image ② Hazard Area Detection Integratede GIS From JAXA From GIFU Request User Disaster Real Time Information GIS User in Disaster Div. Ground Truth and Survey User Sentinel Asia and Integrated GIS
  • 81. Emergency Response with Integrated GIS ALOS Satellite Tasking
  • 82. Before After Sep, 3 rd . 10:41 am
  • 83. Flooded Area on Hazard Map
  • 84. Future Use in Emergency Responce and Disaster Recovery by GIFU Integrated GIS and Sentinel Asia GIFU JAXA Escape and Support Route Flooded House ALOS Image Hazard Map Base map Flood Detection
  • 85.
  • 86.
  • 87. IPCC SPM repot (2007) Himalaya as a global warming front   as The Third Pole
  • 88. Impact of climate change is well observed in the Himalayan The warming in the Himalayas in last three decades has been between 0.15 °C - 0.6 °C per decade (ICIMOD) Several studies show that most of glaciers in Himalaya are shrinking at accelerated rates in recent decades - Melting Glaciers, - Growing Glacial lakes, and - Glacial lakes Outburst Floods (GLOFs)
  • 89.
  • 90.  
  • 91. The UN's climate science panel has admitted it made a mistake in asserting that Himalayan glaciers could disappear by 2035.
  • 92. “ we can state that the majority of glaciers in the region are in a general condition of retreat, although with some regional differences” “ although the lack of information and knowledge about the glacier melt processes in the Himalayas has been used to politicise the larger issues, the positive aspect of the debate has been the immense awaareness created at various levels including politicians, decision makers, the media and the public at large”
  • 93.
  • 94. The Himalayan mountain system developed from the powerful earth movements which occurred as the Indian plate pressed against the Eurasian continental plate. Main Central Thrust
  • 95. Imja Glacial Lake in Himalayan Range ( SRTM + ALOS )
  • 96.
  • 97. Keio Unv. ADRC** ICIMOD International Community ** Asian Disaster Reduction Center Glacial Lake Outburst Flood Monitoring Working Group Framework of GLOF WG ADRC GLOF Projects (Bhutan, …… ) ・ Field Survey ・ Hazard/ Risk Mapping ・ Capacity Building ・ Monitoring   Glacial Lake ・ Field Survey ・ Hazard /Risk Mapping JAXA Secretariat ・ Sup p ort WG ・ Create   HP ・ Field Survey ・ Hazard/ Risk Mapping ・ Capacity Building ・ Outburst Flood   Simulation http://gibson.sfc.keio.ac.jp/Website/windpower/ ICHARM
  • 98.
  • 99.
  • 100.  
  • 101.
  • 102.  
  • 103. Imja Website – Sensor Data
  • 104. Triggers of GLOF http://wwwsoc.nii.ac.jp/ajg/ejgeo/210124iwata.pdf
  • 105.
  • 106. Towards International Rescue Base GIS Center Disaster Medical Care Center Disaster Equipment Center Risk Communication Risk Consultant Cooperation Collaboration Thunderbird ? http://laird.fluid.energy.osakafu-u.ac.jp/Mworld/thunderbird/models-tb.html Shift to Operational MODE !
  • 107. -- Please Contact at; [email_address] See you on Digital EARTH !

Hinweis der Redaktion

  1. The Earth is a complex system of systems, and to understand it, data is required from multiple observation networks and systems. A Global Earth Observation System of Systems is required to meet the challenge
  2. On the other hand, we have a number of Outcomes or observation data May not be collected or integrated or analysed To support better decision making. Same kinds of demands or request are now directed toward the earth observations, including ocean observations.
  3. In 200 8 , ADC continuously focused its efforts to Design, Upgrade and Deploy the   GEOSS Architecture During 2008 several components became operational During 2008 the Standards and Interoperability Forum (SIF) was set-up. This forum works with contributors in clarifying issues related to interoperability arrangements and addressing gaps in existing standards. For more active coordination globally, regional SIFs for America (north and south), Europe, Asia and Africa are being formed and have begun participating in the SIF process In addition ADC has produced some relevant documents and guidelines to facilitate understanding of GEOSS architecture, registration of components and use of GEOSS services .
  4. This system can deliver geospatial data or map with WMS, WFS or WCS. The system can connect clearinghouse which has metadata of those data. In clearinghouse, user can search map or geospatial data. Delivered map or geospatial data can be seen by other software or system which comply with WMS, WFS or WCS. For expample, Google Earth supports WMS. These systems is developed using FOSS4G. FOSS4G is Free Open Source Software for Geospatial. It is free open-source software. Based on FOSS4G, you can develop new software easily. FOSS4G contain basic program to handle map or geospatial data.
  5. To understand global observation data, It is necessary to look over many fields and we have to understand many technical terms such as biology term, hydrology term, also, landuse classification schema. In addition, we may need to look over many language such as Thai, Chinese, Korean, Japanese.
  6. To understand global observation data, It is necessary to look over many fields and we have to understand many technical terms such as biology term, hydrology term, also, landuse classification schema. In addition, we may need to look over many language such as Thai, Chinese, Korean, Japanese.
  7. To understand global observation data, It is necessary to look over many fields and we have to understand many technical terms such as biology term, hydrology term, also, landuse classification schema. In addition, we may need to look over many language such as Thai, Chinese, Korean, Japanese.
  8. This shows the Goal Image of Disaster Management Support System, Step 3, after 2010. JAXA hopes to expand the service by sharing disaster information obtained by positioning satellite, very large mobile communication satellite, Ultra high-speed communication satellite and earth observation satellite in the future.
  9. The Himalayan mountain system developed from the powerful earth movements which occurred as the Indian plate pressed against the Eurasian continental plate.