Abstract
Environmental scientific research is highly becoming data-driven and dependent on high performance computing infrastructures to process ever increasing large volume and diverse data sets. Consequently, there is a growing recognition of the need to share data, methods, algorithms, and infrastructure to make scientific research more effective, efficient, open, transparent, reproducible, accessible, and usable by different users. However, Earth Observations (EO) Open Science is still undervalued, and different challenges remains to achieve the vision of transforming EO data into actionable knowledge by lowering the entry barrier to massive-use Big Earth Data analysis and derived information products. Currently, FAIR-compliant digital repositories cannot fully satisfy the needs of EO users, while Spatial Data Infrastructures (SDI) are not fully FAIR-compliant and have difficulties in handling Big Earth Data. In response to these issues and the need to strengthen Open and Reproducible EO science, this paper presents SwissEnvEO, a Spatial Data Infrastructure complemented with digital repository capabilities to facilitate the publication of Ready to Use information products, at national scale, derived from satellite EO data available in an EO Data Cube in full compliance with FAIR principles.
Highlights
Data Science JournalEnvironmental sustainability is recognized as a critical global issue after that the World Economic Forum (WEF) has classified for the first time five environmental risks at the first five positions of global risks in terms of likelihood (WorldEconomic Forum, 2020)
In response to these issues and the need to strengthen Open and Reproducible Earth Observations (EO) science, this paper presents SwissEnvEO, a Spatial Data Infrastructure complemented with digital repository capabilities to facilitate the publication of Ready to Use information products, at national scale, derived from satellite EO data available in an EO Data Cube in full compliance with FAIR principles
The need to support long-term preservation of data, code and documentation is recognized as a major obstacle to make sense of data (Science Business, 2019) that has been recently addressed by International Organization for Standardization (ISO) with the standard 9165-2:2020 (Geographic information — Preservation of digital data and metadata — Part 2: Content specifications for Earth observation data and derived digital products) (ISO, 2020; Peng et al, 2021). Taking these elements into consideration, the objective of this paper is to present SwissEnvEO, a data repository of environmental information products produced with the Swiss Data Cube, delivered in compliance with the FAIR Data Sharing principles and supported by Spatial Data Infrastructures (SDI), to facilitate the discovery, access and use of these products and make them available and used by the widest audience possible
Summary
To efficiently and effectively manage their natural resources, they need to have adequate information and knowledge about the limits of the planet so that they can decide how best to use these limited resources (Breuer et al, 2019; Fritz et al, 2019; Nativi et al, 2019). They need information that is consistent, spatially explicit, and sufficiently detailed to capture anthropogenic impacts, and national in scope as recommended by the United Nations 2030 Agenda for Sustainable Development (Saito et al, 2017; The future we want, 2012). Satellite EO data have the potential to drive progress against key national and international development agendas providing new insights and support better policy making across diverse issues of environmental sustainability (Andries, Morse, Murphy, Lynch, & Woolliams, 2019; Dhu et al, 2019; Gregory Giuliani, Egger, et al, 2020; Kavvada et al, 2020)
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