In this paper we study the feasibility of using services offered by a Spatial Data Infrastructure as a basis for distributed service oriented geoprocessing. By developing a prototype we demonstrate that a Spatial Data Infrastructure facilitates rapid development of applications that solve typical problems for an existing risk management application. The prototype provides users with a distributed application that enables the assessment of fire damage areas based on land cover data in a given area. The services involved in the application include: Web Feature Services, Web Map Services, a Gazetteer Service, a Catalogue Service, and Geoprocessing Services. We present the architecture of the application and describe details about implementation‐specific issues. We conclude that current OGC specifications provide a sound basis for developing service oriented architectures for geographic applications; however, in particular for geoprocessing applications, we question the feasibility of the use of Web Feature Services as data sources for larger amounts of data and call for further research in this direction.

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Integrated environmental modelling is gaining momentum for addressing grand scientific challenges such as monitoring the environment for change detection and forecasting environmental conditions along with the consequences for society. Such challenges can only be addressed by a multi-disciplinary approach, in which socio-economic, geospatial, and environmental information becomes interconnected. However, existing solutions cannot be seamlessly integrated and current interaction paradigms prevent mainstream usage of the existing technology. In particular, it is still difficult to access and join harmonized data and processing algorithms that are provided by different environmental information infrastructures. In this paper we take a novel approach for integrated environmental modelling based on the notion of inter-linked resources on the Web. We present design practices for creating resourceoriented interfaces, driven by an interaction protocol built on the combination of valid linkages to enhance resource integration, accompanied by associated recommendations for implementation. The suggested resource-oriented approach provides a solution to the problems identified above, but still requires intense prototyping and experimentation. We discuss the central open issues and present a roadmap for future research.

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Timely knowing about climate change impacts is crucial to adequately plan and undertake adaptive measures and thus to effectively lower vulnerability. This requires gathering and integrating geographic information on exposure, local response mechanisms and stakeholders' concerns. Spatial Data Infrastructures (SDI) are internet-based information systems that facilitate the exchange and use of distributed geographic information. This paper presents the application of SDI to climate change assessment by implementing a generic methodology for the quantification of vulnerability to climate change. The resulting integrated tool allows scientists, stakeholders and decision makers to communicate, assess and improve information about vulnerability to climate change. We show how emerging internet technologies and SDI in particular, make a new interactive approach of assessing vulnerability to climate change possible. Vulnerability was quantified based on an active stakeholder involvement by incorporating their varying perceptions, by allowing them to provide feedback and by supporting the acquisition of stakeholders' knowledge. However, the application showed that to be effective, efforts to achieve and maintain interoperability between the various scientific disciplines should be kept integrated within mainstream IT developments.