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1 Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011 M. Mittlboeck B.resch, G. Sagl, M. Lippautz Research Studio iSPACE, Salzburg, Austria Integrating geographic information infrastructures and real-time sensor measurements to support first responders common operational Picture (COP)

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Page 1: Integrating geographic information infrastructures and ...inspire.ec.europa.eu/events/conferences/inspire_2011/presentations… · help organizing spatial data & services Geoportals

1Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011

M. Mittlboeck

B.resch, G. Sagl, M. Lippautz

Research Studio iSPACE,

Salzburg, Austria

Integrating geographic information infrastructures and

real-time sensor measurements to support first

responders common operational Picture (COP)

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2Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011

„Near Real-time Information Service?“

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3Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011

Overview

� Introduction

� Geographic information Infrastructures (GII)

� Concepts

� Components

� Challenges for GIS in Disaster Management

� integrating real-time sensor measurements

� supporting first responders COP

� Conclusion

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4Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011

GI Infrastructures

� Geographic Information Infrastructures

� Concepts

� Components

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5Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011

Introduction

� Space & time are often the only obvious connection(s) among observations

� Spatial information

� is decisive to understand and respond to the world and its events

� is vital for many businesses and societies

� is essential for managing environment, resources

and risk assessment

� Spatial data infrastructures

� help organizing spatial data & services

� Geoportals

� are linking spatial data providers

� with information users and

� and share spatial information in a virtual project library

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6Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011

Standardized Geographic Information

Infrastructures

� Geodata infrastructure = Spatial data Infrastructure

Geographic information infrastructures = geodata & user oriented

distributed geographic information services

� structured organization of geodata and geographic information

services

� based on a common technical infrastructure (IT-technologies)

bringing in interoperability

� usage of internationally accepted standards for technological

interoperability based on Open Geospatial Consortium (OGC) and ISO

standards as lingua franka to guarantee interoperability

� integration of legal requirements (cadastral laws, INSPIRE directive)

and global initiatives (GEOSS) � definition of common semantics

harmonized organizational concepts

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7Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011

Standardized Geographic Information

Infrastructures - Why

� For effective & efficient organization of geoinformation

� improve data access

� promote data reuse

� make information readily available

� ensure that investments for data collection and management result in

a growing pool of information

� ways of leveraging spatial information

� Change from monolithic IT-systems towards distributed architecture

� are becoming independent of computing platforms

� geo-portals serve as gateways to spatial-information

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8Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011

Standardized Geographic Information

Infrastructures - Answers

� The term “infrastructure” suggests and supports the “concept of a

reliable, supporting environment”, analogous to a road or

telecommunication network – that’s what first responders need!

� Spatial data infrastructures are needed to enable GIS proliferation

throughout organizations, enterprises, countries even globally to

� disseminating information and knowledge in a better, faster and up-to-

date way

� The underlying organizational and technical concepts have to be evaluated

and adjusted

� New technological opportunities, standardization and semantic information

harmonization approaches (e.g. INSPIRE data Specifications) and global

initiatives like GEOSS (Global Earth Observation Systems of Systems

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9Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011

Standardized Geographic Information

Infrastructures – Geoportas

Metadata

publication,

update,

management

Search and

Discover

Resource

Evaluation

Resources

Access

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10Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011

GII integration

SOS registration ::: Geoportal Server

� registration – search – detailed discovery result – realtime Geoportal

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11Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011

Geographic Information Infrastructures

Challenges for disaster management

� real-time information integration

GII challenges for

Disaster Management Support

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12Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011

Standardized Geographic Information

Infrastructures – the road ahead

� Enhancing GI infrastructures

� Perform distributed analysis of geographic information using cloud

computing architectures leveraging standardized SOA technologies

� Upcoming need to (real)-time-enable geo-enabled sensor measure

layers

� historical catalogs � real-time geo-infrastructure

e.g. information exchange and indeed its integration across

heterogeneous systems of rescue and relief organizations

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13Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011

Sensor Networks

status quo

� Heterogeneous data sources, various data formats

� Service-oriented access to data not fully developed (still)

� Lack of up-to-date in-situ sensor measurements

� How about registration and finding of resources and services

� Developments for a particular purpose � no cross integration

Resch, B., 2009, Live Geography – Standardised Geo-sensor Networks for Real-time Monitoring in Urban Environments, Dissertation

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14Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011

Sensor Networks

standards-based ::: near real-time

� Transition: monolithic and mostly post-processing system � service-

oriented near real-time analysis architectures

� Context-aware information in place of ‚raw-data‘

� Distributed geo-processing routines to enhance performance for time-

critical spatial decision support

� Quality assurance by integrating spatially aware Complex Event

Processing � neighborhood relationships of sensors

Resch, B., 2009, Live Geography – Standardised Geo-sensor Networks for Real-time Monitoring in Urban Environments, Dissertation

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15Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011

Standardized Geographic Information

Infrastructures – geoprocessing

� Distributed geo-analysis on real-time geo- measurments

Data

GI-Integration of

Sensor-Measurements usung

OGC SOS

Information

Near Real-time generation of new

Geo Informations-Layern

(Desktop / Web)

Standardized interfaces (ISO & OGC)

Geo-Processing

service-oriented

Near-realtime

(Desktop / Web)

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16Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011

Common Operational Picture (COP)

� Geographic Information Infrastructures

Challenges for disaster management

� supporting first responders

common operational picture (COP)

� Erastar G2real project

� field exercise ‚shining garden‘

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17Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011

COP

G2real ::: radiation measurements

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18Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011

Web-Based Near Real-Time Geo-Analysis

G2real - Overall infrastructure

� Flexible and portable

monitoring infrastructure

� Near real-time Integration of

a variety of data

� Geo-processing “on-the-

fly”—spatial interpolation

� New “live” information

layers based on sensor

measurements

� Fast dissemination of geo-

analysis results:

rapid mapping Infrastructure: modular, service-oriented, standards-based

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19Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011

Web based data analysis :::

G2real - Results first phase

� considerable distortion in the south-western area

� un-sampled locations in combination with the interpolation method used – IDW

� Spatial Interpolation Method used: Inverse Distance Weighting

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20Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011

Web based data analysis :::

G2real - Results second phase

� higher uncertainty in terms of spatial variability - red areas

� final result: spatially exact localisation of both radiation sources

� Spatial Interpolation Method used: Kriging

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21Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011

Web based data analysis :::

G2real - comparison of results 1

� Spatial Interpolation DURING the sensing scenario

meander-shaped versus z-shaped path

IDW

Kriging

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22Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011

Web based data analysis :::

G2real - comparison of results 2

� Kriging rather than IDW fulfils an accurate

localisation of radiation sources

� Difference-Raster: IDW – Kriging

� IDW higher than Kriging: Red

� IDW lower than Kriging: Blue

� Spatial Interpolation AFTER the sensing scenario

µSv/h

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23Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011

Conclusion

� Information integration in geo- information infrastructures is a key

requirement for

• exchanging geographic data internally/externally

• managing and optimizing organizational workflows, production processes

• an essential element for safety and security support

� Goal

• structure and provide information in a modern SDI

• provide data and applications via a geoportal

• Ensure information quality regarding accuracy, completeness and up-to-dateness

• design contextual geo applications based on the need of specific user groups

� Outlook

• Integrating eventing and alerting mechanisms (SAS / SES)

• Distributed processing / cloud computing fractional interpolation

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24Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011

Conclusion

� Infrastructure-oriented instead of application-centred development

(OGC/ISO standards)

���� Flexibility and portability

� “Paradigm shift” in GIS

developments required

�(Near) real-time GII

�Integration of legacy systems

���� Standardised near

real-time information

systems

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25Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011

M. Mittlboeck

B.resch, G. Sagl, M. Lippautz

Research Studio iSPACE,

Salzburg, Austria

Integrating geographic information infrastructures and

real-time sensor measurements to support first

responders common operational Picture (COP)