Paolo Mazzetti

Big Data Analytics for Earth Sciences: the EarthServer approach

Big Data Analytics is an emerging field since massive storage and computing capabilities have been made available by advanced e-infrastructures. Earth and Environmental sciences are likely to benefit from Big Data Analytics techniques supporting the processing of the large number of Earth Observation datasets currently acquired and generated through observations and simulations. However, Earth Science data and applications present specificities in terms of relevance of the geospatial information, wide heterogeneity of data models and formats, and complexity of processing. Therefore, Big Earth Data Analytics requires specifically tailored techniques and tools. The EarthServer Big Earth Data Analytics engine offers a solution for coverage-type datasets, built around a high performance array database technology, and the adoption and enhancement of standards for service interaction (OGC WCS and WCPS). The EarthServer solution, led by the collection of requirements from scientific communities and international initiatives, provides a holistic approach that ranges from query languages and scalability up to mobile access and visualization. The result is demonstrated and validated through the development of lighthouse applications in the Marine, Geology, Atmospheric, Planetary and Cryospheric science domains.

From Sensor to Observation Web with Environmental Enablers in the Future Internet

This paper outlines the grand challenges in global sustainability research and the objectives of the FP7 Future Internet PPP program within the Digital Agenda for Europe. Large user communities are generating significant amounts of valuable environmental observations at local and regional scales using the devices and services of the Future Internet. These communities’ environmental observations represent a wealth of information which is currently hardly used or used only in isolation and therefore in need of integration with other information sources. Indeed, this very integration will lead to a paradigm shift from a mere Sensor Web to an Observation Web with semantically enriched content emanating from sensors, environmental simulations and citizens. The paper also describes the research challenges to realize the Observation Web and the associated environmental enablers for the Future Internet. Such an environmental enabler could for instance be an electronic sensing device, a web-service application, or even a social networking group affording or facilitating the capability of the Future Internet applications to consume, produce, and use environmental observations in cross-domain applications. The term “envirofied” Future Internet is coined to describe this overall target that forms a cornerstone of work in the Environmental Usage Area within the Future Internet PPP program. Relevant trends described in the paper are the usage of ubiquitous sensors (anywhere), the provision and generation of information by citizens, and the convergence of real and virtual realities to convey understanding of environmental observations. The paper addresses the technical challenges in the Environmental Usage Area and the need for designing multi-style service oriented architecture. Key topics are the mapping of requirements to capabilities, providing scalability and robustness with implementing context aware information retrieval. Another essential research topic is handling data fusion and model based computation, and the related propagation of information uncertainty. Approaches to security, standardization and harmonization, all essential for sustainable solutions, are summarized from the perspective of the Environmental Usage Area. The paper concludes with an overview of emerging, high impact applications in the environmental areas concerning land ecosystems (biodiversity), air quality (atmospheric conditions) and water ecosystems (marine asset management).

RESTful implementation of geospatial services for Earth and Space Science applications

Abstract In the recent years, Representational State Transfer (REST) has been proposed as the architectural style for the World Wide Web. REST promises of scalability and simple deployment of Web Services seem to be particularly appealing for Earth and Space Science (ESS) applications. In fact, most of the available solutions for geospatial data sharing, applying standard interoperability specifications, require complex service-oriented infrastructures; these are powerful and extensible environments, but they usually result in difficult to deploy and manage for ESS research teams. Thus, ESS researchers would gain great benefit from an easy way of sharing geo-information using the international interoperability standards. The variety and complexity of geo-information sharing services poses several architectural issues; in fact these services encompass sensor planning and observation, coverages and features publication and retrieving, models and simulations running, data citation and annotation. Consequently, the adoption of a specific architectural style must be carefully evaluated against these specific requirements. In this work we analyse the existing geospatial services from an architectural perspective and investigate their possible RESTful implementation. Particular attention is paid to the OGC Web Coverage Service (WCS). Possible benefits and drawbacks, along with open issues and possible solutions are discussed. Our investigation suggests that REST may fit well to the typical ESS research usage cases. However, the architectural choice (e.g. Simple Object Access Protocol (SOAP) vs REST) will depend on a case-by-case analysis. Other important factors must be considered, such as the application context: a valuable example in point are the e-Business and e-Government application scenarios which require message based solutions – like those implemented by SOAP. In any case, there is a clear need for harmonization and reconciliation of these two approaches.

Transport infrastructure surveillance and monitoring by electromagnetic sensing: the ISTIMES project

The ISTIMES project, funded by the European Commission in the frame of a joint Call “ICT and Security” of the Seventh Framework Programme, is presented and preliminary research results are discussed. The main objective of the ISTIMES project is to design, assess and promote an Information and Communication Technologies (ICT)-based system, exploiting distributed and local sensors, for non-destructive electromagnetic monitoring of critical transport infrastructures. The integration of electromagnetic technologies with new ICT information and telecommunications systems enables remotely controlled monitoring and surveillance and real time data imaging of the critical transport infrastructures. The project exploits different non-invasive imaging technologies based on electromagnetic sensing (optic fiber sensors, Synthetic Aperture Radar satellite platform based, hyperspectral spectroscopy, Infrared thermography, Ground Penetrating Radar-, low-frequency geophysical techniques, Ground based systems for displacement monitoring). In this paper, we show the preliminary results arising from the GPR and infrared thermographic measurements carried out on the Musmeci bridge in Potenza, located in a highly seismic area of the Apennine chain (Southern Italy) and representing one of the test beds of the project.

Future Internet technologies for environmental applications

This paper investigates the usability of Future Internet technologies (aka “Generic Enablers of the Future Internet”) in the context of environmental applications. The paper incorporates the best aspects of the state-of-the-art in environmental informatics with geospatial solutions and scalable processing capabilities of Internet-based tools. It specifically targets the promotion of the “Environmental Observation Web” as an observation-centric paradigm for building the next generation of environmental applications. In the Environmental Observation Web, the great majority of data are considered as observations. These can be generated from sensors (hardware), numerical simulations (models), as well as by humans (human sensors). Independently from the observation provenance and application scope, data can be represented and processed in a standardised way in order to understand environmental processes and their interdependencies. The development of cross-domain applications is then leveraged by technologies such as Cloud Computing, Internet of Things, Big Data Processing and Analytics. For example, “the cloud” can satisfy the peak-performance needs of applications which may occasionally use large amounts of processing power at a fraction of the price of a dedicated server farm. The paper also addresses the need for Specific Enablers that connect mainstream Future Internet capabilities with sensor and geospatial technologies. Main categories of such Specific Enablers are described with an overall architectural approach for developing environmental applications and exemplar use cases.

Biodiversity and climate change use scenarios framework for the GEOSS interoperability pilot process

Abstract Climate change threatens to commit 15–37% of species to extinction by 2050. There is a clear need to support policy-makers analyzing and assessing the impact of climate change along with land use changes. This requires a megascience infrastructure that is capable of discovering and integrating enormous volumes of multi-disciplinary data, i.e. data from biodiversity, earth observation, and climatic archives. Metadata and services interoperability is necessary. The Global Earth Observation System of Systems (GEOSS) works to realize such an interoperability infrastructure based on systems architecture standardization. In this paper we describe the results of linking the infrastructures of Climate Change research and Biodiversity research together using the approach envisioned by GEOSS. In fact, we present and discuss a service-oriented framework which was applied to implement and demonstrate the Climate Change and Biodiversity use scenario of the GEOSS Interoperability Process Pilot Project (IP3). This interoperability is done for the purpose of enabling scientists to do large-scale ecological analysis. We describe a generic use scenario and related modelling workbench that implement an environment for studying the impacts of climate change on biodiversity. The Service Oriented Architecture framework, which realizes this environment, is described. Its standard-based components and services, according to GEOSS requirements, are discussed. This framework was successfully demonstrated at the GEO IV Ministerial Meeting in Cape Town, South Africa November 2007.

GI-Cat: a Web service for dataset cataloguing based on ISO 19115

We present the GI-Cat service: a SOAP-based Web service providing basic functionalities for GI dataset cataloguing and access. The GJ-Cat object model schema is instance of the hierarchical, semistructured data model and is based on the ISO 19115 data model. GI-Cat requirements, information model (resources and accompanying metadata) and functional modules are introduced. Some of the architectural and technological aspects of an experimental implementation of the service are briefly described. Eventually, we relate GI-Cat to OWS/spl trade/ specifications. The proposed solution is being currently experimented in the framework of the COS(OT) project, that is part of the Italian National Operating Program on Scientific and Technological Research and High Education.

The GEOSS solution for enabling data interoperability and integrative research

Global sustainability research requires an integrative research effort underpinned by digital infrastructures (systems) able to harness data and heterogeneous information across disciplines. Digital data and information sharing across systems and applications is achieved by implementing interoperability: a property of a product or system to work with other products or systems, present or future. There are at least three main interoperability challenges a digital infrastructure must address: technological, semantic, and organizational. In recent years, important international programs and initiatives are focusing on such an ambitious objective. This manuscript presents and combines the studies and the experiences carried out by three relevant projects, focusing on the heavy metal domain: Global Mercury Observation System, Global Earth Observation System of Systems (GEOSS), and INSPIRE. This research work recognized a valuable interoperability service bus (i.e., a set of standards models, interfaces, and good practices) proposed to characterize the integrative research cyber-infrastructure of the heavy metal research community. In the paper, the GEOSS common infrastructure is discussed implementing a multidisciplinary and participatory research infrastructure, introducing a possible roadmap for the heavy metal pollution research community to join GEOSS as a new Group on Earth Observation community of practice and develop a research infrastructure for carrying out integrative research in its specific domain.

Bringing GEOSS Services into Practice: A Capacity Building Resource on Spatial Data Infrastructures (SDI)

Data discoverability, accessibility, and integration are frequent barriers for scientists and a major obstacle for favorable results on environmental research. To tackle this issue, the Group on Earth Observations (GEO) is leading the development of the Global Earth Observation System of Systems (GEOSS), a voluntary effort that connects Earth Observation resources world-wide, acting as a gateway between producers and users of environmental data. GEO recognizes the importance of capacity building and education to reach large adoption, acceptance and commitment on data sharing principles to increase the capacity to access and use Earth Observations data. This article presents “Bringing GEOSS services into practice” (BGSIP), an integrated set of teaching material and software to facilitate the publication and use of environmental data through standardized discovery, view, download, and processing services, further facilitating the registration of data into GEOSS. So far, 520 participants in 10 countries have been trained using this material, leading to numerous Spatial Data Infrastructure implementations and 1,000 tutorial downloads. This workshop lowers the entry barriers for both data providers and users, facilitates the development of technical skills, and empowers people.

Issues in the development of open access to research data

This paper explores key issues in the development of open access to research data. The use of digital means for developing, storing and manipulating data is creating a focus on ‘data-driven science’. One aspect of this focus is the development of ‘open access’ to research data. Open access to research data refers to the way in which various types of data are openly available to public and private stakeholders, user communities and citizens. Open access to research data, however, involves more than simply providing easier and wider access to data for potential user groups. The development of open access requires attention to the ways data are considered in different areas of research. We identify how open access is being unevenly developed across the research environment and the consequences this has in terms of generating data gaps. Data gaps refer to the way data becomes detached from published conclusions. To address these issues, we examine four main areas in developing open access to research data: stakeholder roles and values; technological requirements for managing and sharing data; legal and ethical regulations and procedures; institutional roles and policy frameworks. We conclude that problems of variability and consistency across the open access ecosystem need to be addressed within and between these areas to ensure that risks surrounding a data gap are managed in open access.