The Swiss data cube, analysis ready data archive using earth observations of Switzerland

Chatenoux, Bruno; Richard, Jean-Philippe; Small, David; Roeoesli, Claudia; Wingate, Vladimir; Poussin, Charlotte; Rodila, Diana-Denisa; Peduzzi, Pascal; Steinmeier, Charlotte; Ginzler, Christian; Psomas, Achileas; Schaepman, Michael E.; Giuliani, Gaston

doi:10.1038/s41597-021-01076-6

Cited by 41 publications

(16 citation statements)

References 67 publications

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“…Given the rapid environmental changes and the increase in the quantity of available data, innovative solutions are needed to elaborate and produce accurate outputs for the epidemiologists and decision makers. This would prompt toward a data cube approach ( 68 ), which could improve the efficiency for both data extraction and analysis, once combined with Machine Learning techniques and algorithms.…”

Section: Discussionmentioning

confidence: 99%

An integrated system for the management of environmental data to support veterinary epidemiology

et al. 2023

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Environmental and climatic fluctuations can greatly influence the dynamics of infectious diseases of veterinary concern, or interfere with the implementation of relevant control measures. Including environmental and climatic aspects in epidemiological studies could provide policy makers with new insights to assign resources for measures to prevent or limit the spread of animal diseases, particularly those with zoonotic potential. The ever-increasing number of technologies and tools permits acquiring environmental data from various sources, including ground-based sensors and Satellite Earth Observation (SEO). However, the high heterogeneity of these datasets often requires at least some basic GIS (Geographic Information Systems) and/or coding skills to use them in further analysis. Therefore, the high availability of data does not always correspond to widespread use for research purposes. The development of an integrated data pre-processing system makes it possible to obtain information that could be easily and directly used in subsequent epidemiological analyses, supporting both research activities and the management of disease outbreaks. Indeed, such an approach allows for the reduction of the time spent on searching, downloading, processing and validating environmental data, thereby optimizing available resources and reducing any possible errors directly related to data collection. Although multitudes of free services that allow obtaining SEO data exist nowadays (either raw or pre-processed through a specific coding language), the availability and quality of information can be sub-optimal when dealing with very small scale and local data. In fact, some information sets (e.g., air temperature, rainfall), usually derived from ground-based sensors (e.g., agro-meteo station), are managed, processed and redistributed by agencies operating on a local scale which are often not directly accessible by the most common free SEO services (e.g., Google Earth Engine). The EVE (Environmental data for Veterinary Epidemiology) system has been developed to acquire, pre-process and archive a set of environmental information at various scales, in order to facilitate and speed up access by epidemiologists, researchers and decision-makers, also accounting for the integration of SEO information with locally sensed data.

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Section: Discussionmentioning

confidence: 99%

An integrated system for the management of environmental data to support veterinary epidemiology

et al. 2023

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“…Continuing advances in GIS technology have established mapping as a crucial means of identifying connections between the state of the climate and other areas of concern. Open-source databases allow for unprecedented collections of spatial information, and high-speed data processing reveals changing conditions in real time (e.g., [ 42 – 44 ]).…”

Section: The Role Of Geospatial Data Methods and Tools In The Measure...mentioning

confidence: 99%

Geospatial techniques for monitoring and mitigating climate change and its effects on human health

Boulos

Wilson

2023

Int J Health Geogr

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This article begins by briefly examining the multitude of ways in which climate and climate change affect human health and wellbeing. It then proceeds to present a quick overview of how geospatial data, methods and tools are playing key roles in the measurement, analysis and modelling of climate change and its effects on human health. Geospatial techniques are proving indispensable for making more accurate assessments and estimates, predicting future trends more reliably, and devising more optimised climate change adaptation and mitigation plans.

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“…The Open Data Cube (ODC) is a well-known implementation of EODC helping scientists work with Analysis Ready Data (ARD) [4]. The ODC focuses on real environmental issues [23] instead of managing and solving EO Big Data challenges. National ODC systems have already been successfully implemented and provided by several countries [5] to monitor, detect and potentially resolve various types of environmental problems, like Australia [6], Switzerland [23], Brazil [22], or Armenia [7].…”

Section: Introductionmentioning

confidence: 99%

Scalable Data Processing Platform for Earth Observation Data Repositories

Astsatryan

Lalayan

Giuliani

2023

SCPE

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Earth observation (EO) satellite data is essential to environmental monitoring. At a national and regional level, the open data cubes harness the power of satellite data by providing application programming interfaces and services to the end-users. The volume and the complexity of satellite observations are increasing, demanding novel approaches for data storing, managing, and processing. High-performance computing (HPC) and cloud platforms may improve Big EO data processing performance. However, it is necessary to consider several vital aspects for efficient and flexible EO data processing, such as the interoperability from cloud-HPC and EO data repositories, automatic provisioning and scaling of cloud-HPC resources, cost-effectiveness, support of new EO data formats and open-source packages, or linkage with data cube platforms. The article proposes a scalable EO data processing platform interoperable from cloud-HPC and EO data repositories. The platform enables linking any data repository supporting web coverage service or SpatioTemporal Asset Catalog Application Programming Interfaces (STAC-API), and any cloud or HPC resource supporting scheduling system API for providing access to the cluster backends.

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The Swiss data cube, analysis ready data archive using earth observations of Switzerland

Cited by 41 publications

References 67 publications

An integrated system for the management of environmental data to support veterinary epidemiology

An integrated system for the management of environmental data to support veterinary epidemiology

Geospatial techniques for monitoring and mitigating climate change and its effects on human health

Scalable Data Processing Platform for Earth Observation Data Repositories

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