The document discusses a Fire Web Service that provides interoperable web access to real-time satellite-based fire detection data from GEONETCast. The service uses open standards like WFS and KML to allow querying and mapping of fire events detected from MODIS data. It is implemented using open source software like GeoServer and PostGIS to enable free and web-based access to both real-time and historical fire data globally.

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

10. Architecture

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>

12. Client application

13. Functionality
• Query
• Map
• Inspect

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