CROSS Harmonization & HPC modelization of FOREST Datasets

CROSS Harmonization & HPC modelization of FOREST Datasets CROSS-FOREST

Armonización CROSS & modelización HPC de datos forestales
The aim of Cross-Forest is to publish Forest Inventory Datasets and Forestry maps from Portugal and Spain in Linked Open Data (LOD) format, and to combine them to create and integrate models supporting forest management and forest protection.
Cross-Forest logo

Cross-Forest is developing a common platform for open forest data, and a cross-border data model (ontology) shared between Portugal and Spain, for the publication of forest inventories, maps and other forest databases in Linked Open Data format (LOD). Cross-Forest will provide a public endpoint exposing Forest Data, according to the produced model. The main goal is focused on keeping forest information always available and updated, to make exploitation easier for all stakeholders involved in forest management and research.
Two use cases are being developed:
CAMBRIC - to estimate the evolution of forests and wood quality, under different management scenarios
FRAME - to predict forest fires behavior and spreading through precise information on combustible materials, forestry maps and propagation models.
High Performance Computing (HPC) resources are employed due to the amount of data generated and managed, and to the complexity of the models.
Results so far show the usefulness and versatility provided by LOD technology, as It allows users to freely access and manage updated data to develop tools adapted to their needs and purposes. Publishing data as LOD allows Public Administrations to easily fulfil their requirements of transparence and publicity, optimize resources and keep a statistic control of the use of public data.

Origin of wood
Mobilization Potential
Medium, this tool provides the best information for an appropiate managemnt to avoid forest fires and also for the best mangament, therfore, it will improve the mobilization potential when CrossForest is used for this purpose
Kind of wood concerned
Mediterranean forests in Spain and Portugal
Sustainability Potential
Very high
Impact on environment & biodiversity

Very high as it will help to protect forests from fires for its best management.

Ease of implementation
"Consuming open data" is not easy, so it is necessary to create intermediate links and multidisciplinary teams to bring new technologies closer to users, in order to design adapted solutions.
Economic impact
High, as the information facilitates the management and forecasting of forestry work to be carried out.
Job effect
The project does not have a direct effect on employment, but it opens up opportunities for entrepreneurs and companies, as the information published allows any user with the appropriate profile to launch queries and develop adapted tools.
Income effect
No data
Specific knowledge needed
Medium, some knowledge of mapping and forestry tools is necessary.
Exploitation potential

The results obtained so far demonstrate the usefulness and versatility provided by LOD technology, as it allows users to freely access and manage up-to-date data to develop tools adapted to their needs and purposes. 

LOD technology allows for the modular and interconnected construction of an open, public and quality information infrastructure available to the sector. The continuity of this type of publication allows public administrations to meet their transparency obligations, optimise resources and keep statistical control of the use made of the information.

Key prerequisites

The technology is already developed, the requirements are similar to those necessary for the use of any other similar software.

Inventory, monitoring
Forest management, ecosystem, resilience
Forest disturbances, risks
forest models; High Performance Computing (HPC); Linked Open Data (LOD); ontology
Challenge addressed
1.- Improve forest resilience and adaption to climate change
Type of solution
Data platforms, data hubs
Digital solution
Country of origin
Scale of application
Cross-border/multi-lateral (several countries)
Start and end year
2018 - 2021
Contact data
Owner or author
Grupo Tragsa
Asunción Roldan Zamarrón
Cesefor Foundation
Ángela García
References and Resources
Project reference
Cross-Forest is co-financed by the European Union’s Innovation and Networks Executive Agency (INEA), through the Connecting Europe Facility (CEF) 2014-2020. Action 2017-EU-IA-0140 (Agreement No INEA/CEF/ICT/A2017/1566738)
Project under which this factsheet has been created
Rosewood 4.0