The PREVIEW Global Risk Data Platform

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 )

WMO Lunchtime Forum - 09.06.2011

2WMO Lunchtime Forum - 09.06.2011

http://www.grid.unep.ch

http://www.unige.ch/sig

http://www.unige.ch/sig


Spatial analysis Statistical analysis Image analysis

Data Field data Maps & Infographics

ReportsEnvironment impacts assessmentsRisk modellingChange detectionRole of ecosystems & climate change

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• Spatial Data Infrastructure

• PreView

• Requirements

• Global Risk Data Platform

• Conclusions

• Demonstration


Outline - SDI - PreView - Requirements - Global Risk Data Platform - Conclusions - Demonstration



• 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



• 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 decision-making on a global basis at all levels of societies, for the benefit of human-kind and the environment.



• Data = fuel for analysis and decision-making.

• Spatial information affects 80% of all human decisions.

• Today’s best tool to search data:



• 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.



• 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.



• “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



• 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



OGC Reference Model



• 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



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



20% technological / 80% relational



• 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.

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Preview Data Compendium:HTML + zip files

Preview IMS:HTML + ESRI MapObjects



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• 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!



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• Fully Open Source.

• Based on:

• PostgreSQL/PostGIS,

• PHP,

• Geoserver,

• GeoNetwork,

• UMN Mapserver.

• Analysis of geospatial data: ESRI ArcInfo 9.x





Cartographic module


Graph moduleOutline - SDI - PreView - Requirements - Global Risk Data Platform - Conclusions - Demonstration


Download & extract modulesOutline - SDI - PreView - Requirements - Global Risk Data Platform - Conclusions - Demonstration


OGC web services moduleOutline - SDI - PreView - Requirements - Global Risk Data Platform - Conclusions - Demonstration

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• GeoDB: 10Go of data available.

• 1.5 To of processed geodata by 20 researchers.

• 6’000h of computation.

• >15’000 lines of code.

• 2 days of “user-testing” (10 beta-testers).



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• 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.



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• Replication (national to global)

• Used for the management of natural disasters. SDI: good framework for sharing geospatial data.

• Better information -> Better decisions!

• Integration:

• GEOSS,

• UNEP, UNDP, UNISDR,

• Desinventar.

• UNHCR

• Google Earth



Grid processing

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1st geoportal of the GRID-Geneva/UniGE SDIApplication layer

(ArcInfo, GRASS, WebMapping)

Service layer(ArcGIS Server, UMN Mapserver,

Geoserver, FME)W(x)SDirect Access CSW INSPIRE

GRID UniGE

Data layer(PostgreSQL /ArcSDE,

PostgreSQL/PostGIS, File system)WD EU CH GE MetaDataPreviewGEO

EnviroGRIDS ACQWA

+





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.


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




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http://preview.grid.unep.ch






Thank you for your attention

[email protected]@unige.ch


The PREVIEW Global Risk Data Platform

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