A Hybrid Approach to Disseminate Large Volume Sensor Data for Monitoring Global Change

A Hybrid Approach to Disseminate Large Volume Sensor Data for Monitoring Global Change Theodor Foerster, Albert Remke & Georg Kaspar EOGC 2011, Munich

Motivation
Global change
Large volume of geodata
Global coverage & real-time
Satellite-based dissemination system
Proprietary standards
Web-based dissemination
Interoperability & Spatial Data Infrastructures
 Hybrid approach

GEONETCast – satellite-based dissemination system
Free of charge
180 products - different applications
Global products – world-wide coverage
Real-time

Interoperability
Establish common understanding on concepts
Web Services
Common interfaces available through the Web
HTTP & XML
Spatial Data Infrastructures
Framework for technology & organization
Based on standards
Open Geospatial Consortium

OGC Web Services
Can be integrated in Service-Oriented architectures & SDIs
Web Map Service
Maps as plain images (PNG, GIF)
Web Feature Service (vector data)
Geography Markup Language
Query through Filter Encoding
Web Coverage Service (raster data)
e.g. GeoTiff

Hybrid Approach
Distributed nodes providing different data on the Web

Receiving satellite-based data

Web-based dissemination GEONETCast data server Web Coverage Service Web Map Service Clients getMap getCoverage Query real-time and historic data through interoperable Web Services from different nodes Web Feature Service getFeature GML / KML

USE CASE
MSG-2 data

Example MSG-2 data
12 channels
3 km resolution
Served in GeoTIFF format
Update every 15 minutes

Architecture – MSG-2 data dissemination

Web-based data access - MSG-2 data  Retrieve raw data from WCS Hurricane Karl, 17th September 2010

USE CASE
Fire Web Service

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
Disaster management
Based on MODIS fire product (mod 14)
Identify potential fires
Fire detection algorithm
Raster  fire events as points
Confidence value

Architecture – Fire Web Service

Browser-based client application
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 (WFS) & MapServer (WCS & WMS)
PostGIS
OpenLayers / GeoExt
Running at IFGI
Integrated in StudMap 14 Project

Conclusion
Global Change
Large volume of (sensor) data in real-time
Global coverage & high resolution
Hybrid approach
Satellite-based & Web-based dissemination
Different nodes provide different data
AGILE, OGC & EuroSDR Persistent Testbed
Distributed non-redundant storage
Use cases (raster & vector data)
Meteorology
Fire Web Service
Free and Open Source Software

Thanks for your attention!
swsl.uni-muenster.de /research/geonetcast/
Theodor Foerster
[email_address]

A Hybrid Approach to Disseminate Large Volume Sensor Data for Monitoring Global Change

by Dr. Theodor Foerster on Apr 13, 2011

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