Highlander | HIGH performance computing to support smart LAND sERvices

Highlander | HIGH performance computing to support smart LAND sERvices

The overarching goal of HIGHLANDER is to support a smarter (environmental and economically sustainable) management of lands in their mosaic of natural resources, land uses, sectors, human activities and assets, while also
reducing risks and taking opportunities posed by climate change and its variability.
HIGHLANDER has three main interrelated main objectives:
1) to design and implement a framework of multi-thematic, last generation, continuously updated, highly detailed and harmonized data, indicators and tools, from remote and in-situ monitoring, analytical tools, numerical models up to
machine learning algorithms.
2) to fully exploit the HPC capabilities to generate, post-process, host, distribute and make accessible to and exploitable by multiple users both existing and newly generated data, indicators and tools into HPC-based services
enabling the mainstreaming of the information itself into decisions, strategies and plans at different interacting spatiotemporal scales and sectoral levels.
3) to ensure the long-term functionality of the created services thanks to the involvement of real users during the project. Huge amount of input data gathered and used in HIGHLANDER will come from geospatial and non-geospatial datasets. 
From these, new data, indicators and tools will be generated, harmonized and made available to be then efficiently exploited by multiple end-users, e.g. farmers and their associations, forest/ecosystem managers, water providers,
entrepreneurs, service providers, policy makers, practitioners, educators, researchers, government.

The foreseen services are:

  • a National Open Data Portal on climate and climate-related hazards.
  • a set of illustrative “downstream applications”, aimed mainly at increasing the users’ awareness about the great potential of the information provided as well as their capacity in further elaborating and using data;
  • implementation of a chain of operations that directly generate the user-required information through a usercustomized package.

The consortium of partners will define open data policies for the gathered or newly-generated data in order to define a national regulation and their re-use.
Moreover, this Portal will be integrated into the European Data Portal to achieve a highest level of visibility through a pan-European synergy. 

Partner

  • CINECA
  • ART-ER Attractiveness Research Territory
  • DEDAGROUP Public Services S.r.l.
  • Agenzia Regionale per la Protezione Ambientale del Piemonte
  • Agenzia Regionale per la Prevenzione, l'Ambiente e l'Energia dell'Emilia-Romagna (Arpae Emilia-Romagna)
  • Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici
  • Università degli Studi della Tuscia
  • Fondazione Edmund Mach
  • CONFEDERAZIONE ITALIANA AGRICOLTORI PROVINCIA DI TORINO C.I.A
  • ECMWF 
Project manager: 
Lucia Mazzoni
Indirizzo e-mail: