Artificial intelligence and terrestrial point clouds for forest monitoring

dc.contributor.author	Kulicki, M.
dc.contributor.author	Cabo Gómez, Carlos
dc.contributor.author	Trzcinski, T.
dc.contributor.author	Bedkowski, J.
dc.contributor.author	Sterenczak, K.
dc.date.accessioned	2025-03-31T11:46:15Z
dc.date.available	2025-03-31T11:46:15Z
dc.date.issued	2025
dc.identifier.citation	Current Forestry Reports, 11(1), (2025); doi:10.1007/s40725-024-00234-4
dc.identifier.issn	2198-6436
dc.identifier.uri	https://hdl.handle.net/10651/78287
dc.description.sponsorship	UK NERC Spanish Ministry of Universities [NE/T001194/1]; NextGenerationEU [MU21-UP2021-030]; Spanish Knowledge Generation project [PID2021-126790NB-I00]
dc.language.iso	eng
dc.relation.ispartof	Current Forestry Reports
dc.rights	©,
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213569503&doi=10.1007%2fs40725-024-00234-4&partnerID=40&md5=4cbe464907723fdaf8c41582ed080cc7
dc.title	Artificial intelligence and terrestrial point clouds for forest monitoring
dc.type	journal article
dc.identifier.doi	10.1007/s40725-024-00234-4
dc.relation.publisherversion	http://dx.doi.org/10.1007/s40725-024-00234-4

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