University of Padua

Participatory ground data are complementary to satellite bark beetle detection

Nardi, Davide and Bozzini, Aurora and Morgante, Giuseppe and Finozzi, Valerio and Gaccione, Angelo and Battisti, Andrea (2023) Participatory ground data are complementary to satellite bark beetle detection. [Data Collection]

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Collection description

Data used in the publication "Participatory ground data are complementary to satellite bark beetle detection", Nardi D. et al. Annals of Forest Science

DOI: 10.25430/researchdata.cab.unipd.it.00000990
Keywords: bark beetle, citizen science, digital technology, GIS, smartphone application
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 Agronomia Animali Alimenti Risorse Naturali e Ambiente (DAFNAE)
Depositing User: Davide Nardi
Date Deposited: 25 Sep 2023 07:16
Last Modified: 25 Sep 2023 07:16
Creators/Authors:
CreatorsEmailORCID
Nardi, Davidedavide.nardi@unipd.itorcid.org/0000-0002-6438-6286
Bozzini, Auroraaurora.bozzini@phd.unipd.itorcid.org/0000-0003-0548-0296
Morgante, Giuseppegiuseppe.morgante@phd.unipd.itUNSPECIFIED
Finozzi, Valeriovalerio.finozzi@regione.veneto.itUNSPECIFIED
Gaccione, Angeloangelo.gaccione@studenti.unipd.itUNSPECIFIED
Battisti, Andreaandrea.battisti@unipd.itorcid.org/0000-0002-2497-3064
Corporate creators: Veneto Agricoltura, U.O. Fitosanitario Regione del Veneto, U.O. Foreste e Selvicoltura Regione del Veneto
Type of data: Database
Research funder: Regione del Veneto
Research project title: Monitoraggio Bostrico tipografo
Grant number: decree n. 1691 - 29/11/2021
Collection period:
FromTo
15 June 202230 September 2022
Geographic coverage: Regione del Veneto, Italy
Data collection method: Visual inspections
Resource language: English
Metadata language: English
Publisher: Research Data Unipd
Date: 24 September 2023
Copyright holders: The Authors
URI: https://researchdata.cab.unipd.it/id/eprint/990

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