Abstract
eHabitat is a Web Processing Service (WPS) designed to compute the likelihood of finding ecosystems with equal properties. Inputs to the WPS, typically thematic geospatial "layers", can be discovered using standardised catalogues, and the outputs tailored to specific end user needs. Because these layers can range from geophysical data captured through remote sensing to socio-economical indicators, eHabitat is exposed to a broad range of different types and levels of uncertainties. Potentially chained to other services to perform ecological forecasting, for example, eHabitat would be an additional component further propagating uncertainties from a potentially long chain of model services. This integration of complex resources increases the challenges in dealing with uncertainty. For such a system, as envisaged by initiatives such as the "Model Web" from the Group on Earth Observations, to be used for policy or decision making, users must be provided with information on the quality of the outputs since all system components will be subject to uncertainty. UncertWeb will create the Uncertainty-Enabled Model Web by promoting interoperability between data and models with quantified uncertainty, building on existing open, international standards. It is the objective of this paper to illustrate a few key ideas behind UncertWeb using eHabitat to discuss the main types of uncertainties the WPS has to deal with and to present the benefits of the use of the UncertWeb framework.
Original language | English |
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Title of host publication | 34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring |
Publisher | ICRSE |
Publication status | Published - 1 Dec 2011 |
Event | 34th International Symposium on Remote Sensing of Environment - Sydney, NSW, Australia Duration: 10 Apr 2011 → 15 Apr 2011 |
Symposium
Symposium | 34th International Symposium on Remote Sensing of Environment |
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Country/Territory | Australia |
City | Sydney, NSW |
Period | 10/04/11 → 15/04/11 |
Other | The GEOSS Era: Towards Operational Environmental Monitoring |
Keywords
- ecological forecasting
- model web
- SOA
- uncertainties
- web processing services