Sensor Web Enabling the Advanced Fire Information System PowerPoint PPT Presentation

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Title: Sensor Web Enabling the Advanced Fire Information System


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Sensor Web Enabling the Advanced Fire Information
System
  • Presented at ISESS 2005
  • By Gavin Fleming

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The Sensor Web
  • The Sensor Web is about adding senses to the
    Internet, as well as the intelligence to make
    sense of them
  • Open Geospatial Consortium Sensor Web Enablement
    (OGC SWE)
  • Making sense of information available through
    Sensor Web
  • Sensor Web as enabler of GEOSS, GMES

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AFIS Sensor Web- enablement testbed!
  • AFIS v.1 already a Sensor Web-like system with
    proven benefits
  • AFIS ideal to help us build SWE architecture in
    agile fashion
  • Design
  • Implement
  • Iterate

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AFIS Stakeholder Requirements
  • Near real time detection of active fires
  • Continuous uptime, automated
  • Easily accessible from anywhere in the world
  • Relevant fire info such as fire location,
    intensity, size, uncertainty
  • Web maps e-mail and SMS notifications
  • Adaptable alert conditions OGC Alert

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AFIS stakeholders
  • ESKOM
  • National and Regional Disaster Management Centres
  • Fire Protection Agencies and Brigades
  • Forest plantation companies
  • National Parks Board
  • Western Cape Nature Conservation
  • Dept of Water Affairs and Forestry
  • SAfNet

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Flashover 25 July 2004 Highveld region
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Polar-orbiting Satellite System
Polar Orbiting Satellite System
Scan width 2400 km Overpass times 1000
am 1400 pm 2200 pm 0200 am 1 km
resolution Detection size 0.2 Ht
Scan width 2400 km Overpass times 1000 am -
T 1400 pm - A 2200 pm - T 0200 am -
A Detection size 0.2 ha
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Geostationary Satellite System
Continues scanning over Europe and Africa Imagery
every 15 minutes 3,5 km resolution Detection
size 5 10 ha
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AFIS v.1
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AFIS v.2Sensor WebEnabled
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Benefits of SWE to AFIS
  • Pluggable data sources
  • At-(proxy) Sensor processing
  • Hybrid service/agent-oriented architecture
    programming to standard interfaces
  • Pluggable fire detection algorithms
  • Pluggable fire alert agent
  • Intelligent agents for other use cases
  • All Open Source
  • Interoperable, standards based
  • Ease of maintenance and collaboration

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Notifications
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Plans
  • Improve fire detection algorithms
  • Implement these as SWE agents
  • Make more sensors available
  • Weather Humidity Fuel load Wind DEM
  • Build semantic query interface
  • User-defined alert conditions
  • User-defined notification configuration
  • Predict, then validate burnt areas

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Some Challenges
  • Registries, catalogs, metadata, ontologies,
    workflows
  • Semantic interoperability
  • Working with a small team
  • Focus
  • Collaborate
  • http//wamis.co.za/eskom/checkboxes/sa.htm

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ACTIVE FIRES 2001 animation 1km MODIS active
fire detections (red) superimposed on MODIS 16
day NDVI
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