CROSS Harmonization & HPC modelization of FOREST Datasets


Cross-Forest is working on establishing key collaboration with some of the other projects funded by CEF-Telecom which are more related with the Cross-Forest issues, namely:

SUDOE needs healthy and functional forests that guarantee the provision of goods and services for rural and urban society. COMFOR-SUDOE seeks to promote complex (mixed and irregular) forests and multi-species plantations as a resilient and adaptive alternative to threats such as global change and biodiversity decline. These types of forests can increase, and in many cases, improve the potential quality of ecosystem services compared to other more simplified forest systems. Research in the SUDOE domain should help inform policies and intelligent management measures that promote the diversification of forest structures, ensuring knowledge transfer and support for transnational research, development and innovation.

Southwest Europe is highly affected by forest fires, suffering from their consequences, including water pollution, damage to infrastructure or loss of crops. EPyRIS provides a management strategy agreed between actors involved in fire management at different territorial levels. Thus, it allows anticipating critical situations through the vulnerability analysis of areas, optimizing post-fire emergency procedures and disseminating methodologies developed based on previous experiences.
Develop procedures and instruments to minimize the risks of dragging, loss of soil and damage derived from the occurrence of large fires.

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The Action developed two digital service endpoints focused on nature and biodiversity datasets. The endpoints enable the intelligent querying and sharing of knowledge from nature datasets of key importance in the fields of alien invasive species control and biodiversity protection. It did this by collecting and harmonising nature and biodiversity datasets owned and produced by Portuguese and Spanish public administrations and converting them into smart Linked Open Data (LOD)-oriented Resource Description Framework (RDF)-based formats. Some of the key goals achieved by the Action include:

– The harmonisation of Portuguese and Spanish in accordance with the INSPIRE directive standards;
– The publication of the converted data through the European Data web Portal;
– The transformation of the shared data into the Plinian core metamodel
– The transformation of the datasets into RDF format;
– The development of web interfaces to facilitate access to the datasets.

In summary, the Action has created tools for national administrations that will help to improve the economic and social impact brought about by the re-use of nature information in the South Europe.

The main objectives of this action is to promote the use of existing open data, HPC and data infrastructures by creating a predictive model based on Machine Learning techniques to improve the prevention and control of mildew and other grape wine diseases in the wine cultivation sector. Better monitoring and early reactions against highly destructive diseases will enable a decrease in the amount of fungicide and the number of protective treatments. This will help to introduce sustainability criteria in agricultural production by offering consumers higher quality and safer agricultural products. In addition, the established approach has potential to be reused for monitoring and eliminating other fruit crop pests in the future. The created model for controlling mildew and other grapevine diseases will:

– promote the use of existing open data, HPC and data infrastructures to enhance the existing processes to face challenges in the agricultural sector;
– provide open information to farmers potentially affected by the mildew disease to apply more effective treatments based on the data produced by advanced technologies;

The Action will deliver a service (the «Open Forecast service») that will take data from different sources, process it using supercomputers resources to generate open and public data products. The function of the service will be exemplified through the implementation of two use cases:

–  Matter Forecast Service (PMFS): its goal is to provide a detailed forecast for the concentration of particulate matter in the Stuttgart metropolitan area. The resulting open data products will be Particulate matter forecasts.
– Satellite Data Service for Agriculture (AgriCOpen): AgriCOpen’s aim is to provide services and products for agricultural smart farming practices based on open satellite imagery data. It will use public open spatial data from the Sentinel-2 satellite mission.                                                     

The resulting open data products will be agricultural forecast data (crop parameters, yields, productivity stability measures) which will be integrated into smart farming applications in the field (e.g. fertilisation or precision farming) and will be compared to ground truth data like nitrogen sensor data, yield maps, or soil maps to evaluate their applicability. The service portal will be designed and built to be harvested by the German Open data portal (, which is harvested by the European Data Portal.

The overall objective of the Action is to foster data use and reuse in the context of the European Common Agricultural Policy (CAP), and to improve its accessibility and usability by farmers, policy makers and third parties such as SMEs. The main technical goal of the Action is to enrich HPC European capabilities through the creation of a common infrastructure for agri-environmental governance of the CAP. In doing so, the action will provide an open community platform for sharing solutions in the Integrated Administration and Control System (IACS) domain for the CAP through the Linked Open Data paradigm. This will include generic services to facilitate end-user access to HPC capabilities by managing different HPC providers via a technological architecture that processes service level agreements to seamlessly assign jobs to the different providers involved in Open IACS infrastructure. More specifically, the Action will:

– Design a network of interoperable Linked Open Data (LOD) End-points considering information for Agri-environmental management of IACS policies;
– Implement the common agri-environmental LOD infrastructure for IACS policy management by means of increasing HPC capabilities;
– Demonstrate the usefulness of this infrastructure through its application in different scenarios.

The ‘OASIS’ Action created a number of applications to show how European citizen can freely make use of public open data throughout the Union. The Action lead to the publication of a set of highly interoperable datasets, formatted as ‘Linked Data’, and provided tools to generate such datasets easily from existing data sources. The datasets created in the project were gathered into their corresponding regional, national, and pan-European open data portals in order to demonstrate that the data can easily be harvested to create new innovative applications and services that work across borders and sectors. More specifically, the Action sourced public open data from Spain and Belgium in the domains of public transport (train, bus, metro), and accessibility to local public services, and developed a number of mobile applications to consume this data. These tools prove in practice that applications using Linked Open Data can be used across borders and across sectors.The ‘OASIS’ Action created a number of applications to show how European citizen can freely make use of public open data throughout the Union.

The Action’s objective is to support the re-use of Road Traffic Data in and across the Czech Republic and Spain, making this data accessible, searchable, interoperable, and reusable via the European Data portal, and enabling it to be connected to data from other sectors by using Linked Open Data (LOD). Specifically, the Action will:

– Use the LOD DATEX II model as a complement to DATEX II XML, in order to facilitate accessibility to European traffic data and services;
– Create a specific common metadata model and validation tools to represent this type of information and making it accessible through NAPs to increase interoperability by homogenising the descriptors of data catalogues;
– Develop a LOD enhanced Traffic Information System with semantic capabilities, which includes the use of LOD DATEX II and a common metadata model which would allow the incorporation of new publishers, datasets, data description and discovery services.The Action’s objective is to support the re-use of Road Traffic Data in and across the Czech Republic and Spain, making this data accessible, searchable, interoperable, and reusable via the European Data portal, and enabling it to be connected to data from other sectors by using Linked Open Data (LOD).

The Action will develop a service that combines data on air quality, weather conditions, and traffic flows in order to allow citizens and municipalities to estimate the level of pollution resulting from varying traffic flow conditions. The service will be deployed in several European cities. Related datasets (including metadata) will be published on portals harvested by the European Data Portal. Specifically, the Action will:

– Define a standard set of metadata representing urban air quality maps;
– Provide citizens and public administrations with a real-time map of the estimated levels of pollution in the urban areas based on data from air quality sensors, and measurements of standard air quality stations;
– Develop of a service to predict urban air quality based on the data collected, weather forecasts and traffic flows. This service will make use of High-Performance Computing (HPC) technologies to estimate the diffusion of pollutants in the urban areas. New hypothesis of circulation, such as changes in the urban fleet of vehicles, increase of low emission vehicles, and impacts on air quality will be simulated as well;
– Publish an open dataset describing the urban air quality maps and the prediction maps of the 6 cities in which the service will run for the duration of the Action;

The project harnesses digital solutions and boosts knowledge transfer to connect multiple actors along the forest value chain to reinforce the sustainability of wood mobilisation in Europe. Builds on the ROSEWOOD network of regional hubs, extending this well-established network both in geographical reach and the breadth of tools and solutions shared with stakeholders across Europe. Focuses on digitalisation and digital tools for knowledge transfer, training and coaching, enabling practitioners to share knowhow with much wider impact. Gives actors in the wood mobilisation value chain increased opportunities for sharing good practices in the field and provides access to a wider range of technological and non-technological innovations.

The project works to four main objectives to achieve its aims:

– REGIONAL HUBS: Enhancing and sustaining Wood Mobilisation Hubs as cooperation platforms and innovation networks in five main European regions.
– INFORMATION & KNOWLEDGE: Transferring and communicating information and knowledge on best practices, innovations and research findings related to wood mobilisation and competitiveness.
– COOPERATION & INNOVATION: Identifying and developing cooperation and innovation between all actors and supporting the uptake and exploitation of existing best practices and innovations.
– BUSINESS SUPPORT: Supporting the design of new business opportunities for sustainable wood mobilisation through capacity building, training and development of knowledge resources.