eHabitat, a multi-purpose Web Processing Service for ecological modeling

The number of interoperable research infrastructures has increased significantly with the growing awareness of the efforts made by the Global Earth Observation System of Systems (GEOSS). One of the Societal Benefit Areas (SBA) that is benefiting most from GEOSS is biodiversity, given the costs of monitoring the environment and managing complex information, from space observations to species records including their genetic characteristics. But GEOSS goes beyond simple data sharing to encourage the publishing and combination of models, an approach which can ease the handling of complex multi-disciplinary questions. It is the purpose of this paper to illustrate these concepts by presenting eHabitat, a basic Web Processing Service (WPS) for computing the likelihood of finding ecosystems with equal properties to those specified by a user. When chained with other services providing data on climate change, eHabitat can be used for ecological forecasting and becomes a useful tool for decision-makers assessing different strategies when selecting new areas to protect. eHabitat can use virtually any kind of thematic data that can be considered as useful when defining ecosystems and their future persistence under different climatic or development scenarios. The paper will present the architecture and illustrate the concepts through case studies which forecast the impact of climate change on protected areas or on the ecological niche of an African bird

Linked Open Data for Environmental Protection in Smart Regions – the New Challenge for the Use of Environmental Data and Information.

This paper will introduce the specific objectives of the recently initiated project SmartOpenData - “Linked Open Data for Environmental Protection in Smart Regions” (SOD project) that is supported by Seventh Framework ENV.2013.6.5-3: Exploiting the European Open Data Strategy to Mobilize the Use of Environmental Data and Information. The main concept of the project is to create a Linked Open Data (SOD) infrastructure (including software tools and data sets) fed by public and freely available data resources, existing sources for biodiversity and environment protection and research in rural and European protected areas and its national parks. The aim of the SOD project to develop real proposals for building a SOD infrastructure for biodiversity and environment protection in European protected areas that satisfy the requirements of four kinds of target users: public bodies, researchers, companies (also small and medium enterprises (SMEs) and citizens. The SOD project will focus also on how the SOD Initiative can be linked with the INSPIRE directive, GEOSS Data-CORE, GMES, completed European scale Geographic Information System (GIS) projects (like a Habitats project, which defines models and tools for managing spatial data in environmental protection areas), and external third parties, as well as how it can impact economic and sustainability progress in European environmental research and protection. The key elements of the project will be five target pilot projects in related areas (agro forestry management, environmental research and biodiversity, water monitoring, forest sustainability and environmental data re-use), where harmonization of metadata, improvement of spatial data fusion, as well as visualization and publication of the resulting information according to user requirements will take place. Key words: Linked Open Data, Geographic Information Systems, GIS, INSPIRE directive, environmental data, natural resources, sustainable development and research

An Architecture for Integrated Intelligence in Urban Management using Cloud Computing

With the emergence of new methodologies and technologies it has now become possible to manage large amounts of environmental sensing data and apply new integrated computing models to acquire information intelligence. This paper advocates the application of cloud capacity to support the information, communication and decision making needs of a wide variety of stakeholders in the complex business of the management of urban and regional development. The complexity lies in the interactions and impacts embodied in the concept of the urban-ecosystem at various governance levels. This highlights the need for more effective integrated environmental management systems. This paper offers a user-orientated approach based on requirements for an effective management of the urban-ecosystem and the potential contributions that can be supported by the cloud computing community. Furthermore, the commonality of the influence of the drivers of change at the urban level offers the opportunity for the cloud computing community to develop generic solutions that can serve the needs of hundreds of cities from Europe and indeed globally.Comment: 6 pages, 3 figure

eHabitat: A Contribution to the Model Web for Habitat Assessments and Ecological Forecasting

In striving to improve the predictive capabilities of ecological forecasting we face three basic choices ¿ develop new models, improve existing ones or increase the connectivity of models so they can work together. The latter approach of chaining different interoperable models is of particular interest, as technical developments have made it increasingly viable to combine models that can answer more questions than the individual models alone, allowing users to address complex questions, often of a multi-disciplinary nature. This concept of a Model Web encourages the setting up of a dynamic network of interoperating models, communicating with each other using standardized web services. It is the purpose of this paper to introduce the potential contribution of e-Habitat to the Model Web. e-Habitat is conceived as a Web Processing Service for computing the likelihood of finding ecosystems with equal properties. By developing e-Habitat according to Model Web principles, end-users can define the thematic layers for input to the model from various sources. These input layers are discovered using standards-based catalogues, which are a fundamental component of Model Web and generic Spatial Data Infrastructures. e-Habitat integrates data ranging from remote sensing data to socio-economical indicators, thus offering a huge potential for multi-disciplinary modelling. We will show that e-Habitat can be used for the identification of habitats that are most vulnerable or of the optimal locations for monitoring stations or, when coupled with climate change model services, for ecological forecasting. As such, it is an excellent example of the Model Web in practice.JRC.H.3-Global environement monitorin

Developing a forest data portal to support multi-scale decision making

Forests play a pivotal role in timber production, maintenance and development of biodiversity and in carbon sequestration and storage in the context of the Kyoto Protocol. Policy makers and forest experts therefore require reliable information on forest extent, type and change for management, planning and modeling purposes. It is becoming increasingly clear that such forest information is frequently inconsistent and unharmonised between countries and continents. This research paper presents a forest information portal that has been developed in line with the GEOSS and INSPIRE frameworks. The web portal provides access to forest resources data at a variety of spatial scales, from global through to regional and local, as well as providing analytical capabilities for monitoring and validating forest change. The system also allows for the utilisation of forest data and processing services within other thematic areas. The web portal has been developed using open standards to facilitate accessibility, interoperability and data transfer

Integrative Research: The EuroGEOSS Experience

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GEOSS AIP And GEOSS Water Services

The Global Earth Observation System of Systems (GEOSS) is being built through the coordination of efforts within the international Group on Earth Observations (GEO), a voluntary partnership established in February 2005, comprised of 89 Member States, the European Commission and 77 Participating Organizations. GEOSS is a global, distributed system accessible through the GEOSS Portal, including satellite observation systems and in situ networks and systems, which will deliver the benefits of Earth observations to both data & information providers and consumers world wide. The 10-Year Implementation Plan defines a vision statement for GEOSS, its purpose and scope, expected benefits for nine “Societal Benefit Areas” (SBAs) (disasters, health, energy, climate, water, weather, ecosystems, agriculture and biodiversity), technical and capacity building priorities, and the GEO governance structure. [1] The GEOSS Architecture Implementation Pilot (AIP) develops and deploys new process and infrastructure components for the GEOSS Common Infrastructure (GCI) as well as for the broader GEOSS architecture. The requirements for AIPs are based on user needs and community scenario requirements. The AIP process aims to increase the use of GEOSS resources by end-users in applying both in situ and remotely sensed data, and by extending results from previous GEO developments through integration with the GEOSS Common Infrastructure (GCI)

Citizen Science and Smart Cities

The report summarizes the presentations, discussions, and conclusions of the Citizen Science and Smart Cities Summit organised by the European Commission Joint Research Centre on 5-7th February 2014. In the context of the Summit, the label Citizen Science was used to include both citizen science projects, and others that are about user-generated content, not necessarily addressing a scientific process or issues. The evidence presented by 27 different projects shows the vitality and diversity of the field but also a number of critical points: • Citizen science project are more than collecting data: they are about raising awareness, building capacity, and strengthening communities. • Likewise, smart cities are not only about ICT, energy and transport infrastructures: Smart cities are about smart citizens, who participate in their city’s daily governance, are concerned about increasing the quality of life of their fellow-citizens, and about protecting their environment. Technology may facilitate, but is no solution per se. • Unfortunately to date there seems to be little synergy between citizen science and smart cities initiatives, and there is little interoperability and reusability of the data, apps, and services developed in each project. • It is difficult to compare the results among citizen science, and smart cities projects or translate from one context to another. • The ephemeral nature of much of the data, which disappear short after the end of the projects, means lack of reproducibility of results and longitudinal analysis of time series challenging, if not impossible. • There are also new challenges with respect to the analytical methods needed to integrate quantitative and qualitative data from heterogeneous sources that need further research. • Building and maintaining trust are key points of any citizen science or smart city project. There is a need to work with the community and not just for, or on, the community. It is critical not just to take (data, information, knowledge) but to give back something that is valued by the community itself. The development of citizen science associations in Europe and the US are important developments that may address some of the points above. There are also actions through which the European Commission Joint Research Centre can make an important contribution: • Map citizen science and smart cities projects, and generate a semantic network of concepts between the projects to facilitate search of related activities, and community building. • Provide a repository for citizen science and smart cities data (anonymised and aggregated), software, services, and applications so that they are maintained beyond the life of the projects they originate from, and made shareable and reusable. • Develop regional test beds for the analysis and integration of social and environmental data from heterogeneous sources, with a focus on quality of life and well-being. • Undertake comparative studies, and analyse issues related to scaling up to the European dimension. • Support citizen science and smart cities projects with the JRC knowledge on semantic interoperability, data models, and interoperability arrangements. • Partner with the European Citizen Science Association, and contribute to its interoperability activities. • Work towards making the JRC, and the European Commission, a champion of citizen participation in European science.JRC.H.6-Digital Earth and Reference Dat