University of Padua

Data 2023-2024 ETNSkill-For.Action_ESR_11_02

Sforza, Francesco and Starke, Michael (2024) Data 2023-2024 ETNSkill-For.Action_ESR_11_02. [Data Collection]

Collection description

The uploaded datasets are needed to run the multi-objective optimization model presented in the scientific article ‘Optimizing tree selection for cable yarding operations planning: a multi-objective modelling approach’.

DOI: 10.25430/researchdata.cab.unipd.it.00001387
Keywords: Cable Yarding; Forest Stand; Individual Tree; Optimization; Multi-objective.
Subjects: Life Sciences > Applied Life Sciences, Biotechnology and Molecular and Biosystems engineering: Applied plant and animal sciences; forestry; food sciences; applied biotechnology; environmental, and marine biotechnology; applied bioengineering; biomass, biofuels; biohazard > Applied plant sciences (including crop production, plant breeding, agroecology, forestry, soil biology)
Department: Departments > Dipartimento di Territorio e sistemi agro-forestali (TESAF)
Depositing User: Francesco Sforza
Date Deposited: 16 Oct 2024 11:07
Last Modified: 16 Oct 2024 11:07
Creators/Authors:
CreatorsEmailORCID
Sforza, Francescofrancesco.sforza@phd.unipd.itorcid.org/0000-0003-3286-0948
Starke, Michaelmichael.starke@bfh.chorcid.org/0000-0002-3651-7664
Type of data: Database
Contributors:
ContributionNameEmail
Research team headLingua, Emanueleemanuele.lingua@unipd.it
ResearcherMartin, Ziesakmartin.ziesak@bfh.ch
Research funder: European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie
Research project title: ETN Skill-For.Action
Grant number: 936355
Collection period:
FromTo
1 October 202216 November 2022
Temporal coverage:
FromTo
20232025
Geographic coverage: Switzerland, Fribourg Canton, Plasselb
Data collection method: A GNSS device was used to collect the location of each element of the cable roads. For every intermediate support the saddle height was measured by using a TruPulse® 360 L laser rangefinder.
Resource language: English
Metadata language: English
Publisher: Research Data Unipd
Date: 16 October 2024
Copyright holders: The Author, University of Padova (UNIPD), Bern University of Applied Science (BFH)
URI: https://researchdata.cab.unipd.it/id/eprint/1387

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