SlideShare una empresa de Scribd logo
1 de 18
Low-cost satellite-based products
for the Web – the Example of Fire
Web Service
Theodor Foerster
GeoInfo 2010
Motivation
• Real-time sensor data
• Network-based data access
– Internet & Intranet
• Interoperability
• Archive
Enable web-based & interoperable data
access for GEONETCast
GEONETCast – satellite-based
dissemination system
• Free of charge
• 180 products - different applications
• Global products – world-wide coverage
• Real-time
Technical Setup – Receiving data
Interoperability
• Establish common understanding on concepts
• Web Services
– Common interfaces available through the Web
– HTTP & XML
• Open Geospatial Consortium
– Not-for-profit
– international voluntary consensus standards
organization
OGC Web Feature Service
• Web Services for feature data on the web
– HTTP & XML
– GML
– Features can be queried by featuretype
– Query is expressed through Filter Encoding
• Operations
– GetCapabilities
– DescribeFeatureType
– GetFeature
– Insert (WFS-transactional)
Technical setup – Web
GEONETCast
data server
OGC Web
Coverage Service
OGC Web
Map Service
Clients
getMap
getCoverage
Query real-time and historic data through interoperable Web
Services
OGC Web
Feature Service
getFeature
GML / KML
MODIS data
• Moderate Resolution Imaging
Spectroradiometer [Justice et al. 1998]
• Operated by NASA
– Surface Reflectance
– Land surface temperature
– Vegetation index
– Fire Products [Giglio et al. 2002]
– Land Cover
– Biological productivity
FireWebService
• Desaster management
• Based on MODIS fire product (mod 14)
• Identify potential fires
– Fire detection algorithm
– Raster  fire events as points
– Confidence value
• Processed from GEONETCast data
Architecture
Data insert
<wfs:Insert>
<de.fws:modisfiredata>
<de.fws:the_geom>
<gml:Point>
<gml:coordinates decimal="." cs="," ts"">
168.143,-16.252</gml:coordinates>
</gml:Point>
</de.fws:the_geom>
<de.fws:appearancedate>2010-06-
21T15:13:21Z</de.fws:appearancedate>
<de.fws:line>1177</de.fws:line>
<de.fws:sample>506</de.fws:sample>
<de.fws:confidence>100.0</de.fws:confidence>
<de.fws:adjcloud>0</de.fws:adjcloud>
<de.fws:adjwater>0</de.fws:adjwater>
...
<de.fws:stddevdt>1.2</de.fws:stddevdt>
</de.fws:modisfiredata>
</wfs:Insert>
Client application
Functionality
• Query
• Map
• Inspect
Integration of crowd-sourced
information
• Identify related information through Google
GeoCoding Service
• Wikipedia
• Panoramio
Google Earth integration
Fire events published through KML & NetworkLinks
Implementation
• Based on Free and Open Source Software
• GeoServer
• PostGIS
• OpenLayers / GeoExt
Conclusion
• Web-based access to GEONETCast data
– Real-time & historical data
– Fire Web Service
• Interoperability
– WFS & KML
• Free and Open Source Software
– GeoServer, GeoExt, OpenLayers
• Open issues
– Performance & endurance
– Validation of results
Thanks for your attention!
swsl.uni-muenster.de/research/geonetcast/
Theodor Foerster
theodor.foerster@uni-muenster.de

Más contenido relacionado

Destacado

OpenNoiseMap @ software freedom day
OpenNoiseMap @ software freedom dayOpenNoiseMap @ software freedom day
OpenNoiseMap @ software freedom day
Theodor Foerster
 
The future of work is play igic 2011
The future of work is play   igic 2011The future of work is play   igic 2011
The future of work is play igic 2011
unlimited insights
 

Destacado (9)

New Sensors for the Sensor Web
New Sensors for the Sensor WebNew Sensors for the Sensor Web
New Sensors for the Sensor Web
 
27 aprile 2014 OMELIA PER LA CANONIZZAZIONE DEI SANTI GIOVANNI XXIII e GIOVA...
27 aprile 2014  OMELIA PER LA CANONIZZAZIONE DEI SANTI GIOVANNI XXIII e GIOVA...27 aprile 2014  OMELIA PER LA CANONIZZAZIONE DEI SANTI GIOVANNI XXIII e GIOVA...
27 aprile 2014 OMELIA PER LA CANONIZZAZIONE DEI SANTI GIOVANNI XXIII e GIOVA...
 
La vocazione del leader d'impresa
La vocazione del leader d'impresaLa vocazione del leader d'impresa
La vocazione del leader d'impresa
 
SWSL @ ifgi retreat 2011
SWSL @ ifgi retreat 2011SWSL @ ifgi retreat 2011
SWSL @ ifgi retreat 2011
 
A Hybrid Approach to Disseminate Large Volume Sensor Data for Monitoring Glob...
A Hybrid Approach to Disseminate Large Volume Sensor Data for Monitoring Glob...A Hybrid Approach to Disseminate Large Volume Sensor Data for Monitoring Glob...
A Hybrid Approach to Disseminate Large Volume Sensor Data for Monitoring Glob...
 
Lavoce.info - Parere sulla modifica ai "rimborsi elettorali" dei partiti ital...
Lavoce.info - Parere sulla modifica ai "rimborsi elettorali" dei partiti ital...Lavoce.info - Parere sulla modifica ai "rimborsi elettorali" dei partiti ital...
Lavoce.info - Parere sulla modifica ai "rimborsi elettorali" dei partiti ital...
 
OpenNoiseMap @ software freedom day
OpenNoiseMap @ software freedom dayOpenNoiseMap @ software freedom day
OpenNoiseMap @ software freedom day
 
Integrating Human Observations and Sensor Observations – the Example of a Noi...
Integrating Human Observations and Sensor Observations – the Example of a Noi...Integrating Human Observations and Sensor Observations – the Example of a Noi...
Integrating Human Observations and Sensor Observations – the Example of a Noi...
 
The future of work is play igic 2011
The future of work is play   igic 2011The future of work is play   igic 2011
The future of work is play igic 2011
 

Similar a Low-cost satellite-based products for the Web – the Example of Fire Web Service

Geocom venture lab002
Geocom venture lab002Geocom venture lab002
Geocom venture lab002
Ed Villegas
 
Data Tactics and Nervve Integrated Big Data v3
Data Tactics and Nervve Integrated Big Data v3Data Tactics and Nervve Integrated Big Data v3
Data Tactics and Nervve Integrated Big Data v3
DataTactics
 
HTML5 Programming
HTML5 ProgrammingHTML5 Programming
HTML5 Programming
hotrannam
 
Signal r azurepresentation
Signal r azurepresentationSignal r azurepresentation
Signal r azurepresentation
Justin Wendlandt
 
GIS Standards and Interoperability
GIS Standards and InteroperabilityGIS Standards and Interoperability
GIS Standards and Interoperability
Nasr Khashoggi
 

Similar a Low-cost satellite-based products for the Web – the Example of Fire Web Service (20)

Web-based GEONETCast Data for Geochange Research
Web-based GEONETCast Data for Geochange ResearchWeb-based GEONETCast Data for Geochange Research
Web-based GEONETCast Data for Geochange Research
 
NWGISS: The Web GIS Software Suite for Interoperable Access and Manipulation ...
NWGISS: The Web GIS Software Suite for Interoperable Access and Manipulation ...NWGISS: The Web GIS Software Suite for Interoperable Access and Manipulation ...
NWGISS: The Web GIS Software Suite for Interoperable Access and Manipulation ...
 
Geocom venture lab002
Geocom venture lab002Geocom venture lab002
Geocom venture lab002
 
Intergraph’s Server Offering_Richard Goodman - Intergraph Geospatial World To...
Intergraph’s Server Offering_Richard Goodman - Intergraph Geospatial World To...Intergraph’s Server Offering_Richard Goodman - Intergraph Geospatial World To...
Intergraph’s Server Offering_Richard Goodman - Intergraph Geospatial World To...
 
OGC Interfaces in Thematic Exploitation Platforms
OGC Interfaces in Thematic Exploitation PlatformsOGC Interfaces in Thematic Exploitation Platforms
OGC Interfaces in Thematic Exploitation Platforms
 
Webinar- Internet of Things: Application Frameworks in IoT
Webinar- Internet of Things: Application Frameworks in IoTWebinar- Internet of Things: Application Frameworks in IoT
Webinar- Internet of Things: Application Frameworks in IoT
 
CQRS and Event Sourcing for IoT applications
CQRS and Event Sourcing for IoT applicationsCQRS and Event Sourcing for IoT applications
CQRS and Event Sourcing for IoT applications
 
Data Tactics and Nervve Integrated Big Data v3
Data Tactics and Nervve Integrated Big Data v3Data Tactics and Nervve Integrated Big Data v3
Data Tactics and Nervve Integrated Big Data v3
 
HTML5 Programming
HTML5 ProgrammingHTML5 Programming
HTML5 Programming
 
Geospatial Temporal Open Standards for Big Data from Space (BiDS2014)
Geospatial Temporal Open Standards for Big Data from Space (BiDS2014)Geospatial Temporal Open Standards for Big Data from Space (BiDS2014)
Geospatial Temporal Open Standards for Big Data from Space (BiDS2014)
 
Oliot epcis at a glance
Oliot epcis at a glanceOliot epcis at a glance
Oliot epcis at a glance
 
Signal r azurepresentation
Signal r azurepresentationSignal r azurepresentation
Signal r azurepresentation
 
Web-based Geoprocessing with Open Source Software – a 52°North perspective
Web-based Geoprocessing with Open Source Software – a 52°North perspectiveWeb-based Geoprocessing with Open Source Software – a 52°North perspective
Web-based Geoprocessing with Open Source Software – a 52°North perspective
 
GIS Standards and Interoperability
GIS Standards and InteroperabilityGIS Standards and Interoperability
GIS Standards and Interoperability
 
Keynote Nuxeo Tour 2014
Keynote Nuxeo Tour 2014Keynote Nuxeo Tour 2014
Keynote Nuxeo Tour 2014
 
Hawaii Pacific GIS Conference 2012: Real-Time Data Acquisitions - Bringing In...
Hawaii Pacific GIS Conference 2012: Real-Time Data Acquisitions - Bringing In...Hawaii Pacific GIS Conference 2012: Real-Time Data Acquisitions - Bringing In...
Hawaii Pacific GIS Conference 2012: Real-Time Data Acquisitions - Bringing In...
 
CreatiFI FIWARE technologies presentation 8.10.2014 Helsinki
CreatiFI FIWARE technologies presentation 8.10.2014 HelsinkiCreatiFI FIWARE technologies presentation 8.10.2014 Helsinki
CreatiFI FIWARE technologies presentation 8.10.2014 Helsinki
 
Supporting a Cloud Platform with Streams of Factory Shop Floor Data in the C...
Supporting a Cloud Platform with Streams of  Factory Shop Floor Data in the C...Supporting a Cloud Platform with Streams of  Factory Shop Floor Data in the C...
Supporting a Cloud Platform with Streams of Factory Shop Floor Data in the C...
 
Wap & WML
Wap & WMLWap & WML
Wap & WML
 
Opal: Simple Web Services Wrappers for Scientific Applications
Opal: Simple Web Services Wrappers for Scientific ApplicationsOpal: Simple Web Services Wrappers for Scientific Applications
Opal: Simple Web Services Wrappers for Scientific Applications
 

Más de Theodor Foerster

Más de Theodor Foerster (8)

Live Geoinformation with Standardized Geoprocessing Services
Live Geoinformation with Standardized Geoprocessing ServicesLive Geoinformation with Standardized Geoprocessing Services
Live Geoinformation with Standardized Geoprocessing Services
 
Discovering the Sensor Web through Mobile Applications
Discovering the Sensor Web through Mobile ApplicationsDiscovering the Sensor Web through Mobile Applications
Discovering the Sensor Web through Mobile Applications
 
Integrating Volunteered Human Sensor Data into Crowd-sourced Platforms- A Us...
Integrating Volunteered Human Sensor Data into Crowd-sourced Platforms- A Us...Integrating Volunteered Human Sensor Data into Crowd-sourced Platforms- A Us...
Integrating Volunteered Human Sensor Data into Crowd-sourced Platforms- A Us...
 
An Event Driven Architecture for Decision Support
An Event Driven Architecture for Decision SupportAn Event Driven Architecture for Decision Support
An Event Driven Architecture for Decision Support
 
RM-ODP for WPS Process Descriptions
RM-ODP for WPS Process DescriptionsRM-ODP for WPS Process Descriptions
RM-ODP for WPS Process Descriptions
 
RESTful Web Processing Service
RESTful Web Processing ServiceRESTful Web Processing Service
RESTful Web Processing Service
 
Compliance Testing of Open Source Software for Web Processing Services
Compliance Testing of Open Source Software for Web Processing ServicesCompliance Testing of Open Source Software for Web Processing Services
Compliance Testing of Open Source Software for Web Processing Services
 
The Sensor Bus – Integrating Geosensors and the Sensor Web
The Sensor Bus – Integrating Geosensors and the Sensor WebThe Sensor Bus – Integrating Geosensors and the Sensor Web
The Sensor Bus – Integrating Geosensors and the Sensor Web
 

Último

Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Último (20)

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 

Low-cost satellite-based products for the Web – the Example of Fire Web Service

  • 1. Low-cost satellite-based products for the Web – the Example of Fire Web Service Theodor Foerster GeoInfo 2010
  • 2. Motivation • Real-time sensor data • Network-based data access – Internet & Intranet • Interoperability • Archive Enable web-based & interoperable data access for GEONETCast
  • 3. GEONETCast – satellite-based dissemination system • Free of charge • 180 products - different applications • Global products – world-wide coverage • Real-time
  • 4. Technical Setup – Receiving data
  • 5. Interoperability • Establish common understanding on concepts • Web Services – Common interfaces available through the Web – HTTP & XML • Open Geospatial Consortium – Not-for-profit – international voluntary consensus standards organization
  • 6. OGC Web Feature Service • Web Services for feature data on the web – HTTP & XML – GML – Features can be queried by featuretype – Query is expressed through Filter Encoding • Operations – GetCapabilities – DescribeFeatureType – GetFeature – Insert (WFS-transactional)
  • 7. Technical setup – Web GEONETCast data server OGC Web Coverage Service OGC Web Map Service Clients getMap getCoverage Query real-time and historic data through interoperable Web Services OGC Web Feature Service getFeature GML / KML
  • 8. MODIS data • Moderate Resolution Imaging Spectroradiometer [Justice et al. 1998] • Operated by NASA – Surface Reflectance – Land surface temperature – Vegetation index – Fire Products [Giglio et al. 2002] – Land Cover – Biological productivity
  • 9. FireWebService • Desaster management • Based on MODIS fire product (mod 14) • Identify potential fires – Fire detection algorithm – Raster  fire events as points – Confidence value • Processed from GEONETCast data
  • 11. Data insert <wfs:Insert> <de.fws:modisfiredata> <de.fws:the_geom> <gml:Point> <gml:coordinates decimal="." cs="," ts""> 168.143,-16.252</gml:coordinates> </gml:Point> </de.fws:the_geom> <de.fws:appearancedate>2010-06- 21T15:13:21Z</de.fws:appearancedate> <de.fws:line>1177</de.fws:line> <de.fws:sample>506</de.fws:sample> <de.fws:confidence>100.0</de.fws:confidence> <de.fws:adjcloud>0</de.fws:adjcloud> <de.fws:adjwater>0</de.fws:adjwater> ... <de.fws:stddevdt>1.2</de.fws:stddevdt> </de.fws:modisfiredata> </wfs:Insert>
  • 14. Integration of crowd-sourced information • Identify related information through Google GeoCoding Service • Wikipedia • Panoramio
  • 15. Google Earth integration Fire events published through KML & NetworkLinks
  • 16. Implementation • Based on Free and Open Source Software • GeoServer • PostGIS • OpenLayers / GeoExt
  • 17. Conclusion • Web-based access to GEONETCast data – Real-time & historical data – Fire Web Service • Interoperability – WFS & KML • Free and Open Source Software – GeoServer, GeoExt, OpenLayers • Open issues – Performance & endurance – Validation of results
  • 18. Thanks for your attention! swsl.uni-muenster.de/research/geonetcast/ Theodor Foerster theodor.foerster@uni-muenster.de