The PREVIEW Global Risk Data Platform: a geoportal to serve and share global data on risk to natural hazards Gregory Giuliani (UNEP/GRID-Geneva & University of Geneva/enviroSPACE )
http://www.grid.unep.ch 2
Spatial analysis Statistical analysis Image analysis Data Field data Maps & Infographics Reports Environment impacts assessments Risk modelling Change detection Role of ecosystems & climate change 3
Spatial Data Infrastructure PreView Requirements Global Risk Data Platform Conclusions Demonstration 4
Earth system is: complex multidimensional highly interdependent changing on all spatial and temporal scales OBSERVE - SHARE - INFORM One dataset, many users/one user, many datasets 5
Agenda 21 address the need for information, development of appropriate databases and exchange of information as conditions for creating the basis for sustainable development. By facilitating efficient global and local access, exchange and utilization of geospatial information, we can enhance decisionmaking on a global basis at all levels of societies, for the benefit of human-kind and the environment. 6
Data = fuel for analysis and decision-making. Today s best tool to search data: Spatial information affects 80% of all human decisions. 7
SDI = Spatial Data Infrastructure. Enabling environment that supports easy access to and utilization of, geospatial data. SDIs are more than just data repositories. They allow: discovery, visualization, evaluation, and access to geospatial data and information. SDIs are facing the challenge to connect heterogenous data sources. 8
Maximize the reuse of data/store once - Reuse many times Avoid duplication of efforts and expenses. Allow integration of environmental, socio-economic and institutional data. Encompass sources, systems, networks,... to deliver data from many different sources to the widest possible group of potential users. Be more efficient. Working smarter and not harder. 9
an umbrella of policies, standards and procedures under which organizations and technologies interact to foster more efficient use, management and production of geospatial data. Sources of geospatial data Databases and metadata Data networks Technology Institutional arrangements Policies and standards Users 10
Interoperability: working seamlessly with other systems or products without any special effort the ability of two or more systems or components to exchange information and to use the information that has been exchanged Be able to: find what you need; access it; understand and employ it; have goods and services responsive to the needs of consumers 11
OGC Reference Model 12
Web Mapping Service (WMS): HTTP protocol for publishing a collection of layers as a map (PNG, GIF, JPEG) Web Feature Service (WFS): HTTP protocol for publishing feature collections that may be queried and updated by clients (features published as GML, ) Web Coverage Service (WCS): HTTP protocol for publishing coverages (multi-band raster data) that can be accessed by clients - a sort of web based image processing service (GeoTiff, HDF, ) Catalog Services for the Web (CS-W): Defines several web interfaces for data discovery Web Processing Service (WPS): Defines a web interface to share geoprocessing alogorithms 13
http://preview.grid.unep.ch:8080/geoserver/wms? bbox=112.90721,-54.75389,158.96037,-10.1357 &styles= &Format=image/png &request=getmap &version=1.1.1 &layers=preview:cy_intensity &width=640 &height=309 &srs=epsg:4326 14
20% technological / 80% relational 15
Timely access and easy integration of geospatial data are essential to support efforts in Disaster Risk Reduction. Data availability, accessibility and integration limit the use of such data. Need a framework that facilitate sharing and exchange of geospatial data on natural hazards to (potentially) improve decision-making process. 16
Preview IMS: HTML + ESRI MapObjects Preview Data Compendium: HTML + zip files 17
Support of the Global Assessment Report process. Update of geodata + reanalysis. Rewriting of the application -> Geoportal. Distributing and sharing of the geodata. Interactivity, Interoperability, new functionalities. Replicate the platform (national -> global). SDI framework: Ideal! 18
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Fully Open Source. Based on: PostgreSQL/PostGIS, PHP, Geoserver, GeoNetwork, UMN Mapserver. Analysis of geospatial data: ESRI ArcInfo 9.x 20
Cartographic module 21
Graph module 22
Download & extract modules 23
OGC web services module 24
GeoDB: 10Go of data available. 6 000h of computation. >15 000 lines of code. 1.5 To of processed geodata by 20 researchers. 2 days of user-testing (10 beta-testers). 25
Launch: 17 May 2009 & updated in May 2011. Multiple agencies application: UNEP, UNDP, UNISDR, World Bank. In 2 years: > 100 000 unique visitors, > 90 Go of data downloaded, > 1 500 000 maps published. 26
Integration: GEOSS, UNEP, UNDP, UNISDR, Desinventar. UNHCR Google Earth Replication (national to global) Used for the management of natural disasters. SDI: good framework for sharing geospatial data. Better information -> Better decisions! 27
1 st geoportal of the GRID-Geneva/UniGE SDI Grid processing + Application layer (ArcInfo, GRASS, WebMapping) Direct Access CSW W(x)S INSPIRE Service layer (ArcGIS Server, UMN Mapserver, Geoserver, FME) GEO Preview EnviroGRIDS ACQWA WD EU CH GE MetaData Data layer (PostgreSQL /ArcSDE, PostgreSQL/PostGIS, File system) GRID UniGE 28
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For Arzberger et al. (2004): ensuring that data are easily accessible, so that they can be used as often and widely as possible. is a matter of sound stewardship of public resources. publicly funded data should be openly available to the maximum extent possible. publicly funded data are a public good, produced in the public interest. 30
Giuliani G., Peduzzi P. (2011) The PREVIEW Global Risk Data Platform: a geoportal to serve and share global data on risk to natural hazards. Natural Hazards and Earth System Sciences 11(1):53-66 http://www.nat-hazards-earth-syst-sci.net/11/53/2011/nhess-11-53-2011.html 31
http://preview.grid.unep.ch 32
Thank you for your attention gregory.giuliani@unep.org gregory.giuliani@unige.ch 33