- Geographic Information Systems Studies
- Scientific Computing and Data Management
- Distributed and Parallel Computing Systems
- Advanced Computational Techniques and Applications
- Semantic Web and Ontologies
- Service-Oriented Architecture and Web Services
- Environmental Monitoring and Data Management
- Advanced Database Systems and Queries
- Geological Modeling and Analysis
- Precipitation Measurement and Analysis
- Research Data Management Practices
- Meteorological Phenomena and Simulations
- Geochemistry and Geologic Mapping
- Soil Moisture and Remote Sensing
- Data Management and Algorithms
- Atmospheric and Environmental Gas Dynamics
- Data Quality and Management
- Big Data Technologies and Applications
- Big Data and Business Intelligence
- Simulation Techniques and Applications
- Species Distribution and Climate Change
- 3D Modeling in Geospatial Applications
- Hydrology and Watershed Management Studies
- Engineering Education and Technology
- Digital Transformation in Industry
Institute of Atmospheric Pollution Research
2015-2024
National Research Council
2015-2024
Joint Research Centre
2017-2023
Consorzio Roma Ricerche
2018
National Academies of Sciences, Engineering, and Medicine
2006-2015
National Research Council - Institute of Methodologies for Environmental Analysis
2004-2015
University of Florence
2004-2013
Confederazione Nazionale dell'Artigianato e Della Piccola e Media Impresa
2012
Polo Universitario Città di Prato
2001-2008
Hospital of Prato
2006
Big Data Analytics is an emerging field since massive storage and computing capabilities have been made available by advanced e-infrastructures. Earth Environmental sciences are likely to benefit from techniques supporting the processing of large number Observation datasets currently acquired generated through observations simulations. However, Science data applications present specificities in terms relevance geospatial information, wide heterogeneity models formats, complexity processing....
This manuscript discusses the key characteristics of Digital Ecosystems (DEs) model, which, we argue, is particularly appropriate for connecting and orchestrating many heterogeneous autonomous online systems, infrastructures, platforms that constitute bedrock a digitally transformed society. Big Data AI systems have enabled implementation Twin paradigm (introduced first in manufacturing sector) all sectors DEs promise to be flexible operative framework allow development local, national,...
The concept of Digital Earth (DE) was formalized by Al Gore in 1998. At that time the technologies needed for its implementation were an embryonic stage and quite visionary. Since then digital have progressed significantly their speed pervasiveness generated are still causing transformation our society. This creates new opportunities challenges realization DE. ‘What is DE today?’, could be future?’, to make a reality?’. To answer these questions it necessary examine considering all...
Land degradation is a critical issue globally requiring immediate actions for protecting biodiversity and associated services provided by ecosystems that are supporting human quality of life. The latest Intergovernmental Science-Policy Platform on Biodiversity Ecosystem Services Landmark Assessment Report highlighted activities considerably degrading land threating the well-being approximately 3.2 billion people. In order to reduce ideally reverse this prevailing situation, national...
The digital transformation of our society coupled with the increasing exploitation natural resources makes sustainability challenges more complex and dynamic than ever before. These changes will unlikely stop or even decelerate in near future. There is an urgent need for a new scientific approach advanced form evidence-based decision-making towards benefit society, economy, environment. To understand impacts interrelationships between humans as Earth system processes, we propose engineering...
For disciplinary and domain applications, systems interoperability largely deals with the adoption of agreed technologies, standards, specifications interfaces a disciplinary/domain service bus or means information exchange, if available. However, multi-disciplinary efforts make more complex demands on type arrangements needed to support cross-domain activities. Thus, among diverse must be pursued adopting flexible sustainable approaches. This paper discusses challenges for interoperability....
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In 2015, it was adopted the 2030 Agenda for Sustainable Development to end poverty, protect planet and ensure that all people enjoy peace prosperity. The year after, 17 Goals (SDGs) officially came into force. GEO (Group on Earth Observation) declared support implementation of SDGs. Global Observation System Systems (GEOSS) required a change paradigm, moving from data-centric approach more knowledge-driven one. To this end, System-of-Systems (SoS) framework may refer well-known...
In November 2016, the Paris Agreement entered into force calling Parties to strengthen their cooperation for enhancing adaptation and narrowing gap between climate science policy. Moreover, change has been identified as a central challenge sustainable development by United Nations 2030 Agenda Sustainable Development. Data provide basis reliable scientific understanding knowledge well foundation services that are required take informed decisions. consequence, there is an increasing need...
Earth observations data cubes (EODCs) are a paradigm transforming the way users interact with large spatio-temporal observation (EO) data. It enhances connections between data, applications and facilitating management, access use of analysis ready (ARD). The ambition is allowing to harness big EO at minimum cost effort. This significant interest illustrated by various implementations that exist. novelty approach results in different innovative solutions lack commonly agreed definition EODC....
When defining indicators on the environment, use of existing initiatives should be a priority rather than redefining each time. From an Information, Communication and Technology perspective, data interoperability standardization are critical to improve access exchange as promoted by Group Earth Observations. GEOEssential is following end-user driven approach Essential Variables (EVs), intermediate value between environmental policy their appropriate sources. international local scales,...
Measuring the achievement of a sustainable development requires integration various data sets and disciplines describing bio-physical socio-economic conditions. These allow characterizing any location on Earth, assessing status environment at scales (e.g. national, regional, global), understanding interactions between different systems atmosphere, hydrosphere, biosphere, geosphere), modeling future changes. The Group Earth Observations (GEO) was established in 2005 response to need for...
Several holistic approaches are based on the description of socio-ecological systems to address sustainability challenge. Essential Variables (EVs) have potential support these by describing status Earth system through monitoring and modeling. The different classes EVs can be organized along environmental policy framework Drivers, Pressures, States, Impacts Responses. EV concept represents an opportunity strengthen providing observations seize fundamental dimensions Group Observation (GEO)...
The international research community involved in the GMES, INSPIRE, and GEOSS initiatives is actively pursuing specification of information service oriented solutions for geospatial data interoperability. A prominent interoperability issue pertains to discovery services. From an technology point view, challenge implement interoperable services processing resources that are collected managed using multidisciplinary standards tools. We have designed experimented a new, improved model...
Abstract Data discoverability, accessibility, and integration are frequent barriers for scientists a major obstacle favorable results on environmental research. To tackle this issue, the Group Earth Observations (GEO) is leading development of Global Observation System Systems (GEOSS), voluntary effort that connects resources world‐wide, acting as gateway between producers users data. GEO recognizes importance capacity building education to reach large adoption, acceptance commitment data...
The ISTIMES project, funded by the European Commission in frame of a joint Call “ICT and Security” Seventh Framework Programme, is presented preliminary research results are discussed. main objective project to design, assess promote an Information Communication Technologies (ICT)-based system, exploiting distributed local sensors, for non-destructive electromagnetic monitoring critical transport infrastructures. integration technologies with new ICT information telecommunications systems...
Global sustainability research requires an integrated multi-disciplinary effort underpinned by a cyber infrastructure able to harness big data and heterogeneous information systems across disciplines. Two approaches are possible achieve the interoperability desired such data: federating, brokering. This position paper argues that former is appropriate single discipline or domain environments, but brokering more scalable effective in complex domains. The identifies principles of brokering,...
This paper explores key issues in the development of open access to research data. The use digital means for developing, storing and manipulating data is creating a focus on ‘data-driven science’. One aspect this ‘open access’ Open refers way which various types are openly available public private stakeholders, user communities citizens. data, however, involves more than simply providing easier wider potential groups. requires attention ways considered different areas research. We identify...
During the past two centuries, world has undergone deep societal, political, and economical changes that heavily affected human life. The above contributed to an increased awareness about impact policy decisions have at local global level. Therefore, there is a strong need policy-making decision-making processes for sustainable development be based on best available knowledge Earth system environment. recent advance of information technologies enables running complex models use large amount...