integrating geographic information infrastructures and real-time … · help organizing spatial...
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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)
2Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011
„Near Real-time Information Service?“
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
4Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011
GI Infrastructures
� Geographic Information Infrastructures
� Concepts
� Components
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
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
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
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
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
10Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011
GII integration
SOS registration ::: Geoportal Server
� registration – search – detailed discovery result – realtime Geoportal
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
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
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
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
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)
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‘
17Manfred Mittlboeck et. al., INSPIRE 2011,, 30. June 2011
COP
G2real ::: radiation measurements
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
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
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
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
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
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
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
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)