CROSS-FOREST, data harmonization and modelization. A cross-border project of open forest data from Spain and Portugal

Authors

  • Ramón Baiget Llompart Grupo Tragsa

Keywords:

cross-border, Linked Open Data, SPARQL, INSPIRE, HPC, Geographic forest information, forest fires, modelization, ontology, RDF

Abstract

Cross-Forest aims at developing Digital Service Infrastructures
(DSIs) focused on : (i) obtaining predictions that allow to estimate
the evolution and wood quality of forests at a national scale, and
(ii) assessing and controlling forest fires using information related
to forest fuels and propagation models. These objectives will
be based on the forest datasets (geographic and alfanumeric)
from Portugal and Spain. High-Performance Computing (HPC)
resources will be used, due to the complexity of the models to
be employed and to the need of performing multiple simulations
under different configurations. With that goal, Cross-Forest is
developing a cross-border ontology for forest data in collaboration
with the Portuguese and Spanish Public Administrations,
and will provide a public repository (Endpoint) based on the
recommendations from INSPIRE and Linked Open Data (LOD),
where forest data will be published, in accordance with the ontology.
The data model and publication of LOD a basis for forest
proofessionals and general citezenship, who will have easy and
free access to the forest datasets produced by Portugal and Spain.
Likewise, the assessment of forst fires evolution and propagation
will be very useful for forest managers.

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Published

2020-01-01

How to Cite

Baiget Llompart, R. (2020). CROSS-FOREST, data harmonization and modelization. A cross-border project of open forest data from Spain and Portugal. REVISTA INTERNACIONAL MAPPING, 28(198), 38–44. Retrieved from https://ojs.revistamapping.com/MAPPING/article/view/248

Issue

Section

Artículos Científicos