Big Earth Data Intelligence: the convergence between Big Earth Data and Artificial Intelligence
Big Earth Data Special Issue Call for Papers
Deadline: 31 December 2020
In recent years, Big Earth Data (BED) modernized the research in the Earth sciences by providing globally established, massive, high-resolution, highly dynamic and multi-source datasets. At the same time, Artificial Intelligence (AI) brought transformative opportunities to modern earth sciences and to our understanding of the earth system with the convergence of different factors such as the processing power, the increased connectivity between different platforms and the improved algorithms. Today, more than ever, BED and AI are merging into a synergistic relationship, where BED and AI feed each other. Learning from available BED, AI can generate that intelligence promised by the recent digital transformation of the Earth Observation sector. By processing data faster and on a larger scale, AI pushes the boundaries of big data analytics, accelerates the generation of global information layers and drives the development of autonomous decision-making as long as it meets the challenges of Big Earth Data Intelligence.
If the AI seems to put the promises of Big Earth Data at hand, the couple will have to face several challenges to unlock its full potential. The first is technological with the aim to build truly transformational tools and systems, easy to use in real-time for monitoring purposes, open access and data-dense (meaning that the information is high-resolution, scalable and aggregates environmental and socio-economic datasets). The second is methodological covering issues related to data incompleteness and quality, data aggregation, harmonization and contextualization, identification of anomalies in long-time series while considering the need for comparative approaches of computational intelligence methods against different analytical frameworks.
This special issue aims at highlighting the recent progress made in the field of BED Intelligence both from the theoretical and application standpoints. This involves:
- Recent advances in the development of new or adaptation of existing AI methods to BED (e.g. optimized algorithms in the analysis of BED and its integration with in-situ data or computational efficiency of numerical simulations) and
- The driving science applications for BED Intelligence generation (e.g. global warming and climate change, natural hazards and early warning systems, security and defense).
Potential topics include (but are not limited to) the following: (optional, but recommended)
- New advances in the field of disparate data integration and AI (surveys, digital footprints, Internet of things and remote sensing) for addressing environmental and global development challenges.
- The role of BED Intelligence in the generation of global or large scale information layers (e.g. biophysical variables, mapping informal settlements, exposure to natural hazards, crop monitoring, mapping poverty, etc.)
- BED Intelligence for predictive modeling of socio-economic and environmental processes (e.g. urban development, population modeling and future projection, numerical weather prediction, data assimilation and forecasting, as well as for extreme weather prediction and nowcasting).
- Discussion papers on the limitations of AI in the context of BED (e.g. optimization for remote sensing data, need for a large quantities of training samples and benchmark datasets, the challenge to strike the balance between the global context and the local details).
- The infrastructural solutions and digitalization processes to enable BED Intelligence generation and its application.
- The ethical and transparencies challenges raised by BED Intelligence.
• 31 December, 2020 Paper Submission Online
• 1 March, 2021 Decision to Authors
• 1 May, 2021 Revised Paper Submission
• 1 July, 2021 Publication
Manuscript Submission Information
Please visit the Instructions for Authors page before submitting your manuscript. Once you have finished preparing your manuscript, please submit it through the Taylor & Francis Submission Portal, ensuring that you select the appropriate Special Issue. Publication charges (APCs) will be waived for invited manuscripts submitted to the Big Earth Data. If you need a waiver code, please contact the Editorial Office ([email protected]) before papers are submitted.
- Christina Corbane, European Commission, Joint Research Centre, [email protected]
- Martino Pesaresi , European Commission, Joint Research Centre, [email protected]
- Stefano Nativi, European Commission, Joint Research Centre, [email protected]
- Max Craglia, European Commission, Joint Research Centre, [email protected]
Published on 12th September . Last updated on 29th May 2020.