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3DFin: a software for automated 3D forest inventories from terrestrial point clouds

Diego Laino, Carlos Cabo Gomez, Covadonga Prendes, Romain Janvier, Celestino Ordonez, Tadas Nikonovas, Stefan Doerr Orcid Logo, Cristina Santin Nuno

Forestry: An International Journal of Forest Research, Issue: cpae020

Swansea University Authors: Carlos Cabo Gomez, Tadas Nikonovas, Stefan Doerr Orcid Logo, Cristina Santin Nuno

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Published in: Forestry: An International Journal of Forest Research
ISSN: 0015-752X 1464-3626
Published: Oxford University Press (OUP) 2024
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa66704
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College: Faculty of Science and Engineering
Funders: NERC (NE/T001194/1). This work was supported by the UK NERC project [NE/T001194/1]: ‘Advancing 3D Fuel Mapping for Wildfire Behaviour and Risk Mitigation Modelling’, the Spanish Knowledge Generation project [PID2021-126790NB-I00]: ‘Advancing carbon emission estimations from wildfires applying artificial intelligence to 3D terrestrial point clouds’, and the Spanish ‘Ramón y Cajal’ programme [RYC2018-025797-I]
Issue: cpae020