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FOSS4G 2009 Sydney – SDI Components as Building Blocks for Early Warning Systems Hanko Rubach Dr. Christian Kiehle Judit Mays [rubach|kiehle|mays]@lat-lon.de http://www.lat-lon.de/ Spatial Data Infrastructure Components as Building Blocks for Early Warning Systems

Hanko Rubach Dr. Christian Kiehle Judit Mays [rubach|kiehle|mays]@ l at- l on.de

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Spatial Data Infrastructure Components as Building Blocks for Early Warning Systems. Hanko Rubach Dr. Christian Kiehle Judit Mays [rubach|kiehle|mays]@ l at- l on.de http://www. l at- l on.de/. EDIM Project Context. E arthquake D isaster I nformation System for the M armara Region, Turkey - PowerPoint PPT Presentation

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Page 1: Hanko Rubach Dr. Christian Kiehle Judit Mays [rubach|kiehle|mays]@ l at- l on.de

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Hanko RubachDr. Christian Kiehle

Judit Mays[rubach|kiehle|mays]@lat-lon.de

http://www.lat-lon.de/

Spatial Data Infrastructure Components as Building Blocks for

Early Warning Systems

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EDIM Project Context Earthquake Disaster Information System for the

Marmara Region, Turkey Joint-Project: University of Karlsruhe (GPIK),

GeoForschungs-Zentrum Potsdam, HU Berlin, lat/lon GmbH, Delphi IMM, KOERI Istanbul

Funding provided by BMBF/Geotechnologien Funded from 2007-2010 Scope: SDI development with emphasis on sensor

data, fine grained user management and sustainable spatial data infrastructure setup

Software development and conceptualisation

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3 sub-projects: In Part A, estimates of the degree of reliability will

be delivered, as well as real-time information of earthquake source parameters and near-real-time shakemaps for the region.

In Part B, an advanced sensor technology of self-organising networks will be developed and tested, using Istanbul as an optimal geographical test site.

In Part C, data and information from A and B will be connected by a dynamic geo-information infrastructure and communicated with a user-oriented information and visualisation strategy.

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Motivation Improve early warning information Support rapid response Provide decision support system components Generate personalised visualisation for various

stakeholders Integrate sensor data Use standardised software components Use case: Marmara region

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http://www.deegree.org/

.orgjoint project between AG GIS, Dept. of Geography, Uni Bonn and lat/lonfree software in terms of FSF: LGPL.aiminteroperabilitymanagement of geospatial datasetup of spatial data infrastructure (SDI).howISO-models and OGC-interfacesabstraction from data sourcesJava programming language / JEE web application.nowmost comprehensive implementation of OGC/ISO-standards in free software:WMS & WCS (OGC reference implementations), WFS, CSW, WPS, 3D, SWE, etc.

Page 6: Hanko Rubach Dr. Christian Kiehle Judit Mays [rubach|kiehle|mays]@ l at- l on.de

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Sensor Data in Project SDI Sensor information

Seismic events (E-Z-N-values) Interface for further (pluggable) sensor nets Uniform access over SOS protocol

Alerting network based on SOSEWIN software Triggers notification in case of seismic

events Notification contains information on seismic

event (time, location, seismic waves, etc.) Propagation of events into Portal software

Page 7: Hanko Rubach Dr. Christian Kiehle Judit Mays [rubach|kiehle|mays]@ l at- l on.de

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Publish-Subscribe Mechanism Indirect network access through publish-

subscribe mechanism (SOAP communication) Register portal component to message-

notification broker Receive alerting messages asynchronously Parse alerting message and extract user-

specific information Bridges gap between portal software and real-

time alerting system

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SOSEWIN Integration

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Interoperability – the technical details

SOS: OGC certified Integration of external

data: historical

seismic events real-time

access to on-site sensors in Istanbul

Page 10: Hanko Rubach Dr. Christian Kiehle Judit Mays [rubach|kiehle|mays]@ l at- l on.de

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Pre-EDIM Situation Access to

standardised interfaces and data services

Problem statement: No integration

of sensor data No user-specific

visualisation No means for

EWS

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Phase I – Integration of Security Layer

Security Layer as basis for personalisation

Proxy ensures standards-compliancy

User management based on services and database

Fine grained (spatial) definition of rights and roles

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Phase II – Integration of Sensor Data

Integration of sensor data

Sensor Observation Service (SOS)

Integration of Early Warning Messages (SOSEWIN network)

Visualisation of sensor data (e.g. by charts)

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Visualisation of Sensor Data Statistics based on

sensor stations Charts (e.g. for time

series) Raw data

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Phase 3 – Integration of Monitoring

Ensures operation of all critical services

Notifies administrator about service malfunction

Planned: Data & service backup through grid computing

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owsWatch – The SDI Service Monitor

Monitors OGC web services

Illustrates service response times

Triggers alerts in case of service malfunction (e.g. email, SMS, etc.)

Only accessible by authorised users

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Final Infrastructure – Challenges met

Integration of SOSEWIN access (through web service encapsulation)

Integration of sensor data (through deegree SOS Service & Client)

Integration of user specific rights management

Integration of service monitoring

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iGeoPortal – Access to the EDIM-Infrastructure

Personalised access to geoinformation

Individually configured for diverging user requirements (e.g. decision makers, administrators, etc.)

Page 18: Hanko Rubach Dr. Christian Kiehle Judit Mays [rubach|kiehle|mays]@ l at- l on.de

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Hanko RubachDr. Christian Kiehle

Judit Mays[rubach|kiehle|mays]@lat-lon.de

http://www.lat-lon.de/

Spatial Data Infrastructure Components as Building Blocks for

Early Warning Systems

Any questions?