4 MEEO Pillars

Data Ingestion & Processing

MEEO manages the entire data lifecycle: from collection and storage to processing, in a continuous and automated flow designed to operate natively in the cloud.

Data collection, storage and processing are operated via modern pipelines orchestrated primarily by Kubernetes: an open-source system that ensures business continuity, automatic scaling, and error recovery.

The final output of many pipelines is ARD (Analysis Ready Data): data that has already been corrected, calibrated and normalised, ready for direct analysis without any further pre-processing.

MEEO is able to read and generate major cloud-native geospatial formats: COG (Cloud Optimized GeoTIFF), NetCDF (Network Common Data Form) and ZARR.

For ensuring interoperability with any platform, MEEO’s solutions are fully compliant with the main international standards, such as INSPIRE (INfrastructure for Spatial InfoRmation in Europe), WMS (Web Map Service), WCS (Web Coverage Service) and OpenSearch.

Accessibility, Distribution & Visualization

MEEO makes processed geospatial data accessible through a comprehensive suite of tools designed to meet the needs of both users and automated applications.

APIs compliant with OGC (Open Geospatial Consortium) and REST (Representational State Transfer) standards allow access to data from heterogeneous systems through a uniform interface, supporting both machine-to-machine interactions and direct user access.

Data is also made discoverable through OpenSearch and STAC (SpatioTemporal Asset Catalog) catalogues, enabling efficient exploration of large and distributed datasets.

On the visualization side, MEEO develops interactive platforms and geospatial discovery interfaces that transform complex scientific data into intuitive, engaging, and easily usable tools, bridging the gap between raw satellite data and end users.

Data Management & Governance

MEEO applies rigorous Data Governance guidelines to ensure quality, consistency, and security across all datasets and services.

All data and services follow the FAIR principles (Findability, Accessibility, Interoperability, and Reusability), that enable the company to create valuable products, distribute them securely and intuitively, and maintain control over resource use and duplication to keep efficiency at its highest.

This orientation is followed in a broad portfolio of projects, including CONCERTO, RescueME and CLEAR-EO, as well as ILIAD, EO4EU and IRIDE.

Data and Intellectual Property Rights (IPR) management are also part of MEEO's scope, ensuring compliance across complex multi-partner European projects.

Internally, MEEO relies on an expert data curation team that manages all the datasets and services offered by the company, collaborating with project managers to optimize data usage and improve service performance. To support these activities, new tools and procedures are continuously developed to streamline internal data management processes.

MEEO Data Access Facility (DAF)

MEEO-DAF, the MEEO Data Access Facility, is an infrastructure built to support the high computing demand of MEEO's geospatial web platforms.

Initially designed for Earth Observation data services, it has been extended to provide computational resources and hosting for every kind of geospatial data. It gives academic, government and commercial users access to internally hosted climate and EO data, alongside a wide range of services for processing, visualization and analysis.

The facility supports research and development activities, data mining, long-term data preservation and massive data processing. Most of the hosted datasets are updated daily, so users always work with the most recent data available.

Hosted in the Lepida data centre in Ferrara with 1 Gbit/s connectivity, MEEO-DAF can count on the following resources:

1,776

CPU cores

9.84 TB

RAM

> 1 PB

Storage capacity

4

NVIDIA Tesla T4 GPUs