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.

Origen de la madera
Bosque
Potencial de movilización
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
Tipo de madera afectada
Mediterranean forests in Spain and Portugal
Potencial de sostenibilidad
Very high
Impacto en el medio ambiente y la biodiversidad

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

Facilidad de aplicación
"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.
Impacto económico
High, as the information facilitates the management and forecasting of forestry work to be carried out.
Efecto sobre el empleo
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.
Efecto sobre los ingresos
No data
Conocimientos específicos necesarios
Medium, some knowledge of mapping and forestry tools is necessary.
Potencial de explotación

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.

Prerequisitos clave

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

Dominio
Inventario, evaluación, seguimiento
Gestión forestal, silvicultura, servicios ecosistémicos, resiliencia
Perturbaciones forestales, riesgos, respuesta a desastres
Palabras clave
forest models; High Performance Computing (HPC); Linked Open Data (LOD); ontology
Reto abordado
1. Mejorar la resistencia y la adaptación de los bosques al cambio climático
Tipo de solución
Plataformas de datos, centros de datos, datos abiertos
Solución digital
SI
Innovación
SI
País de origen
Portugal
España
Escala de aplicación
Transfronterizo/multilateral
Año de inicio y fin
2018 - 2021
Datos de contacto
Propietario o autor
Grupo Tragsa
Asunción Roldan Zamarrón
Reportador
Cesefor Foundation
Ángela García
References and Resources
Referencia del proyecto
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)
Proyecto bajo el que se ha creado esta ficha
Rosewood 4.0