CROSS Harmonization & HPC modelization of FOREST Datasets

Presentation

The aim of Cross-Forest is to combine Forest Inventory Datasets, Forestry maps and observational Big Data to create and integrate models supporting forest management and forest protection. 
 
Fires propagation and their effects together with fire suppression techniques will be addressed in one of the pilots. By doing this, Cross-Forest will provide high quality information on severity prediction, possible evolution and useful recommendation on post-events measures, e.g. soil recovery procedures. The end users will be Public Administrations, Policy Makers and Emergency Professionals, while public interfaces and data viewers will be also provided to the general public.
 
In another pilot, Cross-Forest will create models to forecast wood quality in mixed forests on higher surfaces than the municipality level by using the National Forest Inventory and observational Big Data. This pilot will be fully oriented towards end users interests (i.e., wood for wine barrels, biomass production, raw material for Composite Laminated Timber) which will be completely integrated in the final models development. The final aim of this pilot is to facilitate the creation of a dynamic information platform – that could potentially be integrated in the JRC bio economy portal, section SIMWOOD2 information system – to improve commercial promotion of wood to fit end users interests.

 
Period: 30 months (01/09/2018 to 28/02/2021)
4 PARTNERS + 2 AFFILIATED ENTITIES 2 COUNTRIES: Portugal & Spain
2 PILOTS 1 HPC FACILITY
WORKPLAN
3 technical activities
3 Cross-cutting
6 MILESTONES 20 DELIVERABLES
Budget:
Total accepted: 1.637.690 EUR
Total CEF contribution: 1.228.268,00 (75% eligible costs)

WORKPLAN

3 Technical activities

  • HPC Facilities
  • Data gathering and processing. Data publication
  • Pilots an practical scenarios

3 Cross-cutting

  • Evaluation of results. Impact, Exploitation and Sustainability
  • Action Dissemination
  • Management