University of Padua

Data 2022-2023 ETNSkill-For.Action_ESR_11_01

Francesco, Sforza and Michael, Starke (2023) Data 2022-2023 ETNSkill-For.Action_ESR_11_01. [Data Collection]

Collection description

1) The first dataset include data from Motion-time study of uphill cable yarding case study used to develop a productivity prediction model for cable yarding timber harvesting system. 2) The second dataset is the a forest stand dataset including individual tree parameters of the study area where the productivity model was applied

DOI: 10.25430/
Keywords: Time study; Cable Yarding; Productivity; Forest Stand; Individual Tree.
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: 01 Dec 2023 07:54
Last Modified: 01 Dec 2023 07:54
Type of data: Database
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:
7 July 202210 July 2022
Temporal coverage:
30 November 202331 December 2025
Geographic coverage: Switzerland, Luzern Canton, Entlebuch
Bounding Area:
North LatitudeEast LongitudeSouth LatitudeWest Longitude
Data collection method: 1) Time study based on video recording in the field 2) Airborne Laser Scanner post-processing
Resource language: English
Metadata language: English
Publisher: Research Data Unipd
Date: 30 November 2023
Copyright holders: The Author, Bern University of Applied Science (BFH)

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